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Preprint ARTICLE | doi:10.20944/preprints201807.0517.v3

Robust Product Design: A Modern View of Quality Engineering in Manufacturing Systems

Amir Parnianifard

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Robust Design, Taguchi Method, Product Design, Manufacturing Systems, Quality Engineering, Quality Loss Function.

Online: 25 August 2022 (08:36:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0033.v2

Towards Sustainable Aluminium Processing: Autonomous Quality Control Using Business Analytics

Kgothatso Matlala, Amit Kumar Mishra, Deepak Puthal

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: MV20/20; PoDFA; LiMCA; Business Analytics; anomaly detection; statistical process control; K-Means; DBSCAN; multi-layer perceptron; activation fucntion; inclusion; confusion matrix

Online: 19 August 2022 (06:03:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0306.v1

Productivity Improvement using Simulated Value Stream Mapping: A Case Study of the Truck Manufacturing Industry

Fikile Poswa, Khumbulani Mpofu, Olukorede Tijani Adenuga

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: simulated value stream mapping; small and medium enterprise

Online: 17 August 2022 (08:19:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0283.v1

Using Multivariate Quality Statistic for Maintenance Decision Support in a Bearing Ring Grinder

Muhammad Ahmer, Fredrik Sandin, Pär Marklund, Martin Gustafsson, Kim Berglund

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: grinding; multivariate statistics; maintenance decision; condition-based maintenance; condition monitoring; health management; prognostics; fault diagnosis

Online: 16 August 2022 (09:44:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0113.v1

Liquid Metal-assisted In-situ Control of Temperature Field for Additive Manufacturing of Titanium Alloys

Xiaohan Zhang, Min Xia, Yaowu Hu

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Liquid metal; Additive manufacturing; Thermal management; Temperature gradient; Cooling rate; Crack

Online: 4 August 2022 (16:23:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0006.v1

A System for Supporting the Selection of Progressive Methods and Technologies with the Aim of Improving the Management of Production Processes

Peter Bubenik, Olha Kolesnyk, Miroslav Rakyta, Vladimira Binasova, Juraj Capek

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Management; Improvement; System; Production process; Technologies; management methods

Online: 1 August 2022 (05:22:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0153.v2

Use of the Analytic Hierarchy Process and Selected Methods in the Managerial Decision-Making Process in the Context of Sustainable Development

Jana Stofkova, Matej Krejnus, Katarina Repkova Stofkova, Peter Malega, Vladimira Binasova

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: AHP process; Saaty method; Eigenvalue; Excel program; managerial decision-making process

Online: 28 July 2022 (08:49:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0433.v1

Impact of Strategy Change on Business Process Management

Peter Bubenik, Juraj Capek, Miroslav Rakyta, Vladimira Binasova, Katarina Staffenova

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: advanced industrial engineering; strategy; management; business performance; key performance indicators

Online: 28 July 2022 (08:43:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0354.v1

Introducing Non-hierarchical RSM and MIGA for Performance Prediction and Optimization of A Centrifugal Pump under the Nominal Condition

Wenjie Wang, Ju Sun, Jun Liu, Jiantao Zhao, Ji Pei, Jiabin Wang

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: multi-stage double-suction centrifugal pump; non-hierarchical RSM; MIGA; optimization

Online: 25 July 2022 (07:33:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0243.v1

Advanced Logistics Strategy of the Company to Create Sustainable Development in the Industrial Area

Miroslav Rakyta, Peter Bubenik, Vladimíra Biňasová, Branislav Mičieta, Katarína Štaffenová

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: MTS; MTO; logistics strategy; advanced industrial engineering

Online: 18 July 2022 (03:25:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0153.v1

Use of the Analytic Hierarchy Process and Selected Methods in the Managerial Decision-Making Process in the Context of Sustainable Development

Jana Stofkova, Matej Krejnus, Katarina Repkova Stofkova, Peter Malega, Vladimira Binasova

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: AHP process; Saaty method; Eigenvalue; Excel program; managerial decision-making process

Online: 11 July 2022 (08:53:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0405.v1

A System of Selecting Progressive Methods and Technologies to Improve the Management of Production Processes

Peter Bubenik, Olha Kolesnyk, Miroslav Rakyta, Vladimira Binasova, Juraj Capek

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: management methods; management; system; technologies; production process; process improvement

Online: 29 June 2022 (10:16:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0249.v1

Validation of the Cooling Model for TMCP Processing of Steel Sheets with Oxide Scale by Industrial Experiment Data

Emmanuil Beygelzimer, Yan Beygelzimer

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: rolled flat products; accelerated cooling; temperature; mathematical model; oxide scale; Ther-mo-Mechanical Controlled Process

Online: 17 June 2022 (05:14:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0226.v1

Vectors of Sustainable Development and Global Knowledge in the Metallic Materials Industry in Romania

Maria Nicolae, Mirela Gabriela Sohaciu, Ruxandra Dumitrescu, Sorin Ciucă, Avram Nicolae

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: sustainable development; ecometallurgy; metallurgical econology; metallurgical ecosociology; sustainable materials engineering

Online: 15 June 2022 (11:08:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0216.v1

Smart Systems for Material and Process Designing in Direct Nanoimprint Lithography Using Hybrid Deep Learning

Yoshihiko Hirai, Sou Tsukamoto, Hidekatsu Tanabe, Kai Kameyama, Hiroaki Kawata, Masaaki Yasuda

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: direct nanoimprint; process design; deep learning

Online: 15 June 2022 (08:49:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0033.v1

Detection and Analysis of Molten Aluminium Cleanliness Using a Pulsed Ultrasound System

Kgothatso Matlala, Amit Kumar Mishra, Deepak Puthal

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: MV20/20; PoDFA; anomaly detection; statistical process control; principal components analysis; K-Means; DBSCAN; multi-layer perceptron; inclusion; receiver operating characteristic; confusion matrix

Online: 2 June 2022 (11:08:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0072.v1

Monitoring and Visualization of Crystallization Processes Using Electrical Resistance Tomography: CaCO3 and Sucrose Crystallization Case Studies

Guruprasad Rao, Soheil Aghajanian, Yuchong Zhang, Lidia Jackowska Strumillo, Tuomas Koiranen, Morten Fjeld

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Electrical Resistance Tomography; Visualization; Crystallization process monitoring; process operation

Online: 6 May 2022 (10:20:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0027.v1

Reinforcement of Tooling Using Residual Stresses Generated by Cladding by Arc Welding

Rameez Israr, Johannes Buhl, Sebastian Härtel, Markus Bambach

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Additive manufacturing (AM); Wire arc additive manufacturing (WAAM); Weld cladding; Residual stresses; Reinforcement; Hole drilling method; LS-Dyna; Numerical Simulation

Online: 5 May 2022 (08:46:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202204.0056.v1

Prioritizing CP Actions towards Circularity by Combining LCA and Emergy in The PE Production Chain

Gustavo Bustamante, Biagio Fernando Giannetti, Feni Agostinho, Gengyuan Liu, Cecília M.V.B Almeida

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: resource efficiency; productive chain trade-offs; decision making

Online: 7 April 2022 (04:25:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202203.0384.v1

A Robust Second-Order Conic Programming Model with Effective Budget of Uncertainty in Optimal Power Flow Problem

Lie Zhang, Reza Fakhrabadi, Pegah Bagheri, Maryam Khoshkhoo

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: renewable energy sources; wind uncertainty; effective budget of uncertainty; second-order conic relaxation; AC power flow equations

Online: 30 March 2022 (03:26:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202203.0374.v1

Toward the Fungi Whole Cell as a Suitable Strategy for Delignification and Phenolic Removal of Olive Mill Solid Waste

Viviana Benavides, Fernanda Pinto Ibieta, Antonio Serrano, Olga Rubilar, Gustavo Ciudad

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: olive mill solid waste (OMSW); white-rot fungi; laccase; manganese-independent peroxidase; manganese peroxidase; Anthracophyllum discolor; Stereum hirsutum; whole cell

Online: 29 March 2022 (05:21:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202203.0254.v1

Role of Computer-Aided Systems in Production Flexibility: A Study of the Application of Industry 4.0 Technological Concepts in Manufacturing Industries

Victor Chiemerem Onyeneke

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Industry 4.0; HMLV; LMHV; Production scheduling; Digital Manufacturing; Computer aided production management (CAPM); Smart Manufacturing; MCDM

Online: 17 March 2022 (11:47:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0394.v2

A New Hybrid Dynamic FMECA with Decision-Making Methodology: A Case Study in An Agri-Food Company

Mario Di Nardo, Teresa Murino, Gianluca Osteria, Liberatina Carmela Santillo

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: FMEA; FMECA; MCDM; Entropy method; BWM; EDAS method; System Dynamics

Online: 28 February 2022 (09:13:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints202202.0135.v1

Roadmap to Neutrality – What Foundational Questions Need Answering to Determine One’s Ideal Decarbonisation Strategy

Stefan M. Buettner

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: decarbonisation; climate neutrality; industrial energy saving; strategic decision making; net-zero; roadmapping; energy efficiency; ideal mix; energy efficiency index

Online: 9 February 2022 (10:52:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints202202.0041.v1

Comparative Analysis on the Effect of Surface Reflectance for Laser 3D Scanner Calibrator

Jia Ou, Tingfa Xu, Xiaochuan Gan, Xuejun He, Yan Li, Jiansu Qu, Wei Zhang, Cunliang Cai

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Laser scanning instrument; 3D scanner calibrator; surface reflectance; measurement accuracy

Online: 2 February 2022 (15:57:04 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0112.v1

Life cycle Assessment of Hydrogen Production via Natural Gas Steam Reforming vs. Biomass Gasification

Peiran Zhao, Abbas Tamadon, Dirk Pons

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Life Cycle Assessment; hydrogen production; natural gas steam reforming; biomass gasification

Online: 10 January 2022 (12:41:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0460.v1

MTouch: An Automatic Fault Detection System for Desktop FFF 3D Printers Using a Contact Sensor

Samuel Aidala, Zachary Eichenberger, Nickolas Chan, Kyle Wilkinson, Chinedum Okwudire

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Fault Detection; 3D Printer; Error Detection; FFF; Contact Sensor

Online: 29 December 2021 (09:10:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0394.v1

A New Hybrid Dynamic FMECA with Decision-Making Methodology: A Case Study in an Agri-Food Company

Mario Di Nardo, Teresa Murino, Gianluca Osteria, Liberatina Carmela Santillo

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: FMEA; FMECA; MCDM; Entropy method; BWM; EDAS method; System Dynamics

Online: 23 December 2021 (14:00:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0365.v1

Experimental Study and Improving the Productivity of Assembly line Balancing in Teleja Garment Manufacturing in Ethiopia

Yohannes Admassu Gelaw

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Assembly line; Line balancing; Bottleneck; Productivity

Online: 22 December 2021 (12:43:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0346.v1

Towards a Physically Consistent Phase-Field Model for Alloy Solidification

Peter Bollada, Peter K Jimack, Andrew M Mullis

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: phase-field; solidification; non-equilibrium thermodynamics; crystal formation

Online: 21 December 2021 (14:07:58 CET)

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Preprint ARTICLE | doi:10.20944/preprints202009.0181.v2

Examining the impact of E-Supply Chain on Service Quality and Customer Satisfaction: A Case Study

Maryam Abdirad, Krishna Krishnan

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Service Quality; E-Supply Chain Management; Customer Satisfaction; online shopping

Online: 20 December 2021 (11:33:13 CET)

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The purposes of this study are to introduce the concept of Service Quality (SQ) in E-Supply Chain Management (E-SCM) and its impact on increasing Customer Satisfaction (CS) and provide insightful enhancements to the literature. In addition, the paper also examines the influence of SQ of E-SCM on CS in online shopping. After a comprehensive literature review, four key factors for measuring the E-Supply Chain (Process Control, Interaction with Supplier, Management Support, and Focus on Customers), four key factors for measuring CS (Informing Customers, Attention to Customers’ Needs, Staff Performance Accuracy, and Easy Access to Services), and four factors for measuring the quality of identification services (Assurance, Accountability, Tangibility and Reliability) were selected. The proposed conceptual model was then presented. This model was validated by data collected through a survey of 150 respondents in order to identify customer satisfaction, including that of customers of online websites in Iran. The sample data was analyzed using SPSS21, after which the interrelationships between the model and factors were examined based on the Partial Least Square-Structural (PLS). Model fit indices were then calculated for the dataset. The proposed model was validated using factor analysis and structural equation modeling techniques. The results indicated that E-SCM has a direct impact on CS. The effect of SQ was also confirmed. A positive and significant relationship was identified between E-SCM and CS, E-SCM and SQ, as well as SQ and CS (P> 0.05). The first limitation was to convince respondents to cooperate with the researchers. The second one was the lack of research-related background due to the subject being relatively new. This study, to the best of the authors’ knowledge, is the first empirical analysis on the CS assessment of SQ of E-Supply Chain in online shopping. This important link to online shopping has rarely been explored. It is expected that by filling this gap, this study will help in strengthening online shopping, which needs a change in the marketing area.

Preprint ARTICLE | doi:10.20944/preprints202112.0234.v1

Parametric Models and Process Map for Alternating Current Square-Waveform Welding of Heat-Resistant Steel

Uttam Kumar Mohany, Yohei Abe, Takahiro Fujimoto, Mitsuyoshi Nakatani, Akikazu Kitagawa, Manabu Tanaka, Tetsuo Suga, Abhay Sharma

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: submerged arc; heat resistant steel; square waveform welding; aggregate quality index; bay area; melting efficiency; process; model; process map

Online: 14 December 2021 (12:46:10 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0192.v1

Using Enhanced Sparrow Search Algorithm-Deep Extreme Learning Machine Model to Forecast End-Point Phosphorus Content of BOF

Lingxiang Quan, Ailian Li, Guimei Cui, Shaofeng Xie

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: End-point phosphorus content; Deep extreme learning machine; Sparrow search algorithm; Trigonometric substitution; Cauchy mutation

Online: 10 December 2021 (15:04:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints202109.0363.v2

Modelling the Heating Process at Transient and Steady State of an In Situ Tape Laying Machine Head

Jhonny Rodrigues, Paulo Reinier Gonçalves, Luís Miguel Pina, Fernando Gomes de Almeida

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Automatic Fiber Laying; Thermoplastic composites; Process simulation; Digital twin

Online: 25 November 2021 (15:55:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0416.v1

New Business and Operating Models. Optimization of a Blast Furnace in the Steel Industry. Machine Learning as a Process Optimization

Andrés Redchuk, Federico Walas Mateo

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Artificial Intelligence; Machine Learning; Smart manufacturing; Industry 4.0; business model; operating model

Online: 23 November 2021 (09:58:44 CET)

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Preprint REVIEW | doi:10.20944/preprints202111.0402.v1

Virtual Reality and Digital Human Modeling for the Physical Ergonomic Analysis in Product Development in Industry: A Systematic Review

Adailton da Silva, Marcus Mendes, Ingrid Winkler

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Virtual Reality; Digital Human Modeling; Physical Ergonomics Analysis; Product Development; Automotive Industry

Online: 22 November 2021 (14:13:48 CET)

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The efficacy of the product development process is measured by the ability to launch a project with product and production process specifications that could guarantee that the manufacturing can produce it with the least impact. If a problem is detected late, they bring consequences beyond the high cost of the solution, if related to physical ergonomics, which will influence the well-being of operators, productivity, and quality. Virtual Reality (VR) and Digital Human Modeling (DHM) are ones of the enabling technologies of Industry 4.0 and has already been applied on a large scale in industries such as automotive, construction, and aeronautics. However, even though the huge applications, these technologies are not yet applied by these industries for the analysis of physical ergonomics during product development phases. This study aims to characterize the state of the art and technology about the application of Virtual Reality and Digital Human Modeling for the physical ergonomics analysis in the during product development phases in the industry through a systematic review of the literature and patents. In patent documents recovery, we used Derwent Innovation database. The research is based on searching the selected terms in the title, summary, and claims of the documents through a search strategy containing IPC code and keywords. In articles recovery, we searched ScienceDirect, Springer, and IEEExplore databases for scientific publications. The search resulted in 311 patents documents and 16 articles in the scientific database. This study analyzed the patents to map out the technological progress in this area, where we found in the charts and data an increasing number of publications per year and a spread application with a considerable number of new technologies presented in these recent patents. The literature review indicated that Virtual Reality technology complements the Digital Human Modeling during physical ergonomics analysis for manufacturing process already designed. The majority of research on the use of VR and DHM technologies for physical ergonomics analysis focus on the automotive industry and the ergonomic assessment of workstations and current processes. Further research is needed to investigate how Virtual Reality and Digital Human Modeling might assist in the understanding of physical ergonomics in certain tasks throughout the product development process, such as the simulation of worker posture or effort when assembling parts.

Preprint ARTICLE | doi:10.20944/preprints202111.0277.v1

Review on Additive Manufacturing of Multi-Material Parts: Progress and Challenges

Seymur Hasanov, Suhas Alkunte, Mithila Rajeshirke, Ankit Gupta, Orkhan Huseynov, Ismail Fidan, Frank Alifui-Segbaya, Allan Rennie

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Multi-material additive manufacturing; Functionally graded materials; Conventional Manufacturing; Interface Issues

Online: 16 November 2021 (08:50:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0198.v1

Implementation of Six Sigma in Academia

Shashi Kiran, Antara Sarode, Sohan Chandrakanth

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Six sigma (6σ); DMAIC; Academia; Presidency University; defects

Online: 10 November 2021 (08:57:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0168.v1

Eliciting Requirements for a Diabetes Self-Management Application for Underserved Populations: A Multi-Stakeholder Analysis

Samuel Bonet Olivencia, Arjun Rao, Alec Smith, Farzan Sasangohar

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Diabetes mellitus; self-management; blood glucose self-monitoring; mobile applications; medically underserved area; health literacy; telemedicine; disease management

Online: 9 November 2021 (13:19:05 CET)

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Preprint REVIEW | doi:10.20944/preprints202111.0163.v1

The Advancement of Virtual Reality in Automotive Market Research: Challenges and Opportunities

Alexandre Costa Henriques, Ingrid Winkler

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: virtual reality; automotive industry; marketing research; immersive car clinic

Online: 9 November 2021 (11:01:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0101.v1

Strategic Alliance for Resilience in Supply Chain: A Bibliometric Analysis

Maryam Philsoophian, Peyman Akhavan, Morteza Abbasi

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Strategic alliance; Supply chain resilience; Resilient supply chain; Bibliometric analysis

Online: 4 November 2021 (10:28:29 CET)

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Resilience is a particularly important quality for supply chains in this turbulent environment. Resilience in supply chain is the ability to retain, resume, and recover operations after an intense destructive incident. One of the strategic solutions for managing supply chain disruptions is to establish collaboration and strategic alliances in order to achieve competitive advantage. Therefore, given the increasing publication of articles in areas of strategic alliances and supply chain resilience, it is a good opportunity to review these articles, identify gaps in the current literature, demonstrate links between the two areas, and provide suggestions for future research. For these purposes, a bibliometric analysis has been performed on literature available on the Web of Science database. The distribution of articles based on year and country, influential journals, research areas, authors, affiliations, keywords, citations, and reference co-citation analysis are discussed. Results indicate that studies about strategic alliances, meant to increase resilience, are growing in areas such as “Management”, “Operations research”, “Management science”, and “Business”. Furthermore, the sources could be categorized in five clusters; namely “From knowledge concept to value creation”, “Internal and external relationships”, “Logistics and supply chain performance”, “Intellectual capital and strategic management”, and “Critical success factors and alliances”. This article can be useful for both practitioners and academics who explore the topic of strategic alliances and resilience in supply chain and also offers managers the opportunity to overcome supply chain disruptions and negative consequences of risks by becoming familiar with the key concepts of resilience. The persistence of businesses and supply chains is guaranteed through communicating with partners and even competitors in the light of alliance according to the findings of this research. Managers can pay attention to the integration of the supply chain to improve resilience and increase collaboration between suppliers and customers. Given the research results, strategic alliances can be noted in expanding organizational entrepreneurship, and shaping strategic collaboration networks in light of strategic alliances.

Preprint REVIEW | doi:10.20944/preprints202111.0089.v1

Clustering Application for Condition-based Maintenance in Time-varying Processes: A Review

Elena Quatrini, Silvia Colabianchi, Francesco Costantino, Massimo Tronci

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Latent Dirichlet Allocation; Natural Language Processing; Condition based maintenance

Online: 3 November 2021 (14:59:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0019.v1

SQL and NoSQL Databases in the Context of Industry 4.0

Vitor Furlan de Oliveira, Marcosiris Amorim de Oliveira Pessoa, Fabrício Junqueira, Paulo Eigi Miyagi

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Industry 4.0; Database; Data models; Big Data & Analytics; Asset Administration Shell

Online: 1 November 2021 (13:01:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202110.0441.v1

The Application of Blockchain-Based Life Cycle Assessment on an Industrial Supply Chain

Xuda Lin, Xing Li, Sameer Kulkarni, Fu Zhao

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Life Cycle Assessment; Blockchain; Supply Chain

Online: 28 October 2021 (14:56:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202110.0411.v1

Investigation of the Extrapolation Capability of an Artificial Neural Network Algorithm in Combination With Process Signals in Resistance Spot Welding of Advanced High-Strength Steels

Bassel El-Sari, Max Biegler, Michael Rethmeier

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Automotive; Resistance Spot Welding; Quality Assurance; Quality Monitoring; Artificial Intelligence

Online: 27 October 2021 (13:27:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202110.0371.v1

A Novel Approach to the Holistic 3D Characterization of Weld Seams – Paving the Way for Deep Learning-Based Process Monitoring

Maximilian Schmoeller, Christian Stadter, Michael Karl Kick, Christian Geiger, Michael Friedrich Zaeh

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: non-destructive testing; weld seam contour; microfocus computed tomography; laser beam welding; Deep Learning

Online: 25 October 2021 (15:54:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202110.0350.v1

Numerical Modeling and Sensitivity Analysis on Microwave Heating of Plastic on a Large Scale

Sangjun Jeon, Jaekyung Kim, Daejong Yang

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: microwave heating; cavity; reflector; double-waveguide; uniform heating; high heating efficiency

Online: 25 October 2021 (12:51:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202110.0158.v1

SmartScan: An Intelligent Online Scan Sequence Optimization Approach for Uniform Thermal Distribution, Reduced Residual Stresses and Deformations in PBF Additive Manufacturing

Keval S. Ramani, Chuan He, Yueh-Lin Tsai, Chinedum E. Okwudire

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: 3D printing; scanning strategy; finite difference method; radial basis functions; optimal control.

Online: 11 October 2021 (11:55:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202110.0100.v1

Digitization of Welding Processes

Angshuman Kapil, Syed Quadir, Abhay Sharma

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Process monitoring; Welding; Additive manufacturing; Digitization; Sensors; Industry 4.0; Digital twin.

Online: 6 October 2021 (10:23:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0382.v1

Comparative Research of Microstructure and Mechanical Properties of Stainless-Structural Steel Dissimilar Welds

Saulius Baskutis, Jolanta Baskutiene, Regita Bendikiene, Antanas Ciuplys, Karolis Dutkus

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: stainless steel; metal inert gas welding; dissimilar welds; microstructure; mechanical properties

Online: 22 September 2021 (11:56:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0363.v1

Modelling the Heating Process at Transient and Steady State of an In Situ Tape Laying Machine Head

Jhonny Rodrigues, Paulo Reinier Gonçalves, Luís Miguel Pina, Fernando Gomes de Almeida

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Automatic Fiber Laying; Thermoplastic composites; Process simulation; Digital twin

Online: 21 September 2021 (13:08:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0308.v1

Simulation to Recover Niobium and Tantalum From the Tin Slags of the Penouta Mine: A Case Study

Ricardo Magdalena, Alicia Valero, Guiomar Calvo, Francisco J. Alguacil, Félix Antonio López Gómez

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: coltan; niobium; tantalum; critical raw materials; technological metals; mineral processing.

Online: 17 September 2021 (12:02:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0180.v1

MPCR-Net: Multiple Partial Point Clouds Registration Network Using a Global Template

Shijie Su, Chao Wang, Ke Chen, Jian Zhang, Yang Hui

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: point cloud registration; template point cloud; multiple partial point cloud; deep learning

Online: 10 September 2021 (10:26:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0172.v1

Effect of Basicity and Al2O3 on Viscosity of Blast Furnace Slag and Thermodynamic Analysis

Jian Zhang, Zhengjian Liu, Jianliang Zhang, Cui Wang, Hengbao Ma, Haokun Li, Jianjun Fan

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: thermodynamic; enthalpy change; viscosity; activation energy; structure

Online: 9 September 2021 (10:49:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202105.0226.v2

Frequency Converter as Node for Edge Computing of Big Data, Related to Drive Efficiency, in Industrial Internet of Things

Mariusz Piotr Hetmanczyk, Julian Malaka

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: energy efficiency; electric drive; electric motor control; frequency converter; Industrial Internet of Things; edge computing; Big Data; Key Performance Indicators; KPI; dashboard

Online: 8 September 2021 (13:15:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0099.v1

Predictive Maintenance: An Autoencoder Anomaly-based Approach for a 3 DoF Delta Robot

Kiavash Fathi, Hans Wernher van de Venn, Marcel Honegger

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Predictive maintenance; Anomaly detection; Autoencoder; Gaussian processes; Deep learning; Data-driven maintenance

Online: 6 September 2021 (13:37:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0553.v1

A Compact Strain Sensor Based on Microstructural Fabry-Perot Fiber Cavity

Zhiwu Guo, Yannan Wang, Jin Li

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: optical fiber sensor; Fabry-Perot interferometer; strain sensor

Online: 30 August 2021 (16:31:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0443.v1

Welding of Copper to Aluminium With Laser Beam Wavelength of 515 nm

Karthik Mathivanan, Peter Plapper

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Laser welding; Cu-Al welding; green laser; Micro-structure analysis; Energy dispersive X-ray spectroscopy (EDS))

Online: 23 August 2021 (13:28:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0272.v1

Remaining Useful Life Prediction from 3D Scan Data with Genetically Optimized Convolutional Neural Networks

Giovanni Diraco, Pietro Siciliano, Alessandro Leone

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Remaining Useful Life; Deep Neural Network; Convolutional Neural Network; Genetic Optimization; Neural Network Optimization; Support Vector Regression; Depth Maps; Normal Maps; 3D Point Clouds.

Online: 12 August 2021 (10:40:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202107.0102.v1

Combination of Acoustic Emission and Vibratory Measurements to Characterize an Ultrasonic Vibration Assisted Ball Burnishing Tool for a Lathe

Ismael Fernández-Osete, Aida Estevez-Urra, Eric Velázquez-Corral, David Valentin, Jordi Llumà, Ramón Jerez-Mesa, J. Antonio Travieso-Rodriguez

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: accelerometer; process monitoring; natural frequencies; ball burnishing; ultrasonic; piezoelectric; acoustic emission; operational deflection shape.

Online: 5 July 2021 (14:04:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202107.0040.v1

Towards Making Predictive Maintenance System Adaptive and Interpretable

Wenbo Yu, Xuejiao Li, Yong Sun

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: predictive maintenance; transfer learning; interpretable machine learning

Online: 1 July 2021 (22:38:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0688.v1

Modelling of Powder Removal for Additive Manufacture Postprocessing

Andrew Roberts, Recep Kahraman, Desi Bacheva, Gavin Tabor

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Selective Laser Sintering; Metal powder manufacturing; post processing; Eulerian model; Computational Fluid Dynamics; granular flow

Online: 29 June 2021 (07:54:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0005.v1

Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks – an Operational model

Kostas Kalaboukas, Jože Rožanec, Aljaž Košmerlj, Dimitrios Kyritsis, Georgios Arampatzis

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Agile Supply Chains; Cognitive Digital Twin; Cognitive Supply Chains; Cognitive Manufacturing.

Online: 1 March 2021 (12:54:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints202102.0570.v1

Prediction of Dimensional Changes of Low-cost Metal Material Extrusion Fabricated Parts Using Machine Learning Techniques

Zhicheng Zhang, James Femi-Oyetoro, Ismail Fidan, Muhammad Ismail, Michael Allen

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Low-cost Metal Material Extrusion; Additive Manufacturing; Machine Learning; Dimensional Accuracy; Sintering

Online: 25 February 2021 (10:02:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints202101.0417.v1

Effects of Heating and Cooling of Injection Mold Cavity Surface and Melt Flow Control on Properties of Carbon Fiber Reinforced Semi-Aromatic Polyamide Molded Products

Yasuhiko Murata, Ryota Kanno

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: heating and cooling of injection mold; melt flow control; carbon fiber reinforced semi-aromatic polyamide; fiber orientation; bending strength; weld line; crystallization

Online: 21 January 2021 (12:29:40 CET)

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Working Paper ARTICLE

Microstructure and Mechanical Properties of Laser-welded DP Steels Used in the Automotive Industry

Hanbing He, Farnoosh Forouzan, Joerg Volpp, Stephanie M. Robertson, Esa Vuorinen

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Laser welding; Dual phase steel; Similar/dissimilar welded joints; Microhardness; Tensile properties; Fatigue

Online: 31 December 2020 (12:49:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202012.0389.v1

Risk Management for Defense SoS in a Complex, Dynamic Environment

Sigal Kordova, Shimon Fridkin

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Risk management; Defense systems; System of Systems (SoS)

Online: 15 December 2020 (14:05:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints202011.0465.v1

Web Unevenness due to Thermal Deformation in Roll–to–Roll Manufacturing Process

Minho Jo, Jongsu Lee, Seongyong Kim, Gyoujin Cho, Taik-min Lee, Changwoo Lee

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: coating defect; electrolyte layer; temperature; thermal deformation; roll-to-roll slot-die coating systems; wrinkle

Online: 18 November 2020 (10:43:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202011.0438.v1

Analysing Temporal Variability in Inventory Data for Life Cycle Assessment: Implications in the Context of Circular Economy

Sayyed Shoaib-ul-Hasan, Malvina Roci, Farazee Mohammad Abdullah Asif, Niloufar Salehi, Amir Rashid

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Life cycle assessment; circular economy; multiple product life cycles; temporal variability; life cycle inventory; emission intensity

Online: 16 November 2020 (17:24:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202010.0633.v1

Using Kano and TRIZ to Investigate the Mobile Dining Car Service Quality in Taiwan

Ten-Suz Chen, Yung-Fu Huang, Kuo-Lung Hou, Ming-Wei Weng, Ning Xu, Ju-Chen Lin

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: service quality; Kano; TRIZ; catering industrial; mobile catering car; TOPSIS

Online: 30 October 2020 (10:14:45 CET)

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Preprint ARTICLE | doi:10.20944/preprints202010.0273.v1

Multistage Sample Average Approximation for Harvest Scheduling under Climate Uncertainty

Martin Bagaram, Sándor Tóth

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: data-driven optimization; climate change; harvest planning; optimality gap; forest

Online: 13 October 2020 (10:46:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0509.v1

Calculating Feed of Filament in Extrusion-Based Additive Manufacturing to Correctly Print Continuous Fibers Composites in Curved Paths

Behnam Akhoundi, Mojtaba Nabipour, Faramarz Hajami, S Shahab, Amir Mosavi

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Extrusion-Based Additive Manufacturing; 3D Printing; Feed of Filament; Curvilinear Path; Variable Stiffness Composites.

Online: 22 September 2020 (04:21:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0464.v1

Comparative Life Cycle Assessment of Five Greek Yogurt Production Systems: A Perspective beyond the Plant Boundaries

Catherine Houssard, Dominique Maxime, Scott Benoit, Yves Pouliot, Manuele Margni

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: LCA; Greek-style yogurt processing; environmental impacts; losses and wastage; multifunctionality; allocation

Online: 20 September 2020 (14:04:54 CEST)

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Preprint REVIEW | doi:10.20944/preprints202009.0315.v1

Crumb Rubber as a Secondary Raw Material from Waste Rubber: A Short Review of Processing Methods

Vjaceslavs Lapkovskis, Viktors Mironovs, Andrei Kasperovich, Vadim Myadelets, Dmitri Goljandin

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: rubber; environmental sustainability; end-of-life tires; critical raw materials; rubber processing; disintegrator; reclaiming; devulcanisation; ozone cutting; grinding; composite material

Online: 14 September 2020 (00:29:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0314.v1

Hot Incremental Forming of Biocomposites Developed from Flax Fibre and a Thermoplastic Matrix

Sandino Torres, Roberto Ortega, Pablo Acosta, Cristian Redroban, Edisson Calderón

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Incremental Forming; Bio-composites; Hot Formability

Online: 14 September 2020 (00:25:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0181.v1

Customer Satisfaction Assessment of E-Supply Chain Quality in Online Shopping: A Case Study

Maryam Abdirad, Krishna Krishnan

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: service quality; E-Supply chain management; customer satisfaction; online shopping

Online: 8 September 2020 (10:15:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0175.v1

Risk Management for Defense Systems in a Complex, Dynamic Environment

Sigal Kordova

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Risk management; Defense systems; System of Systems (SoS)

Online: 8 September 2020 (06:08:59 CEST)

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Preprint REVIEW | doi:10.20944/preprints202009.0121.v1

A Critical Review of Shipbreaking Literature Reveals Shortcomings in Dimensions Considered for Sustainability

SM Mizanur Rahman

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: shipbreaking; ship recycling; life cycle sustainability assessment; literature review; sustainability

Online: 5 September 2020 (05:47:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0119.v1

A Mixed Perception Approach for Safe Human-Robot Collaboration in Industrial Automation

Fatemeh Mohammadi Amin, Maryam Rezayati, Hans Wernher van de Venn, Hossein Karimpour

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Safe physical Human-Robot Collaboration; collision detection; human action recognition; artificial intelligence; industrial automation

Online: 5 September 2020 (05:29:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0693.v1

Management of the Engineering Data for Manufacturing

Gurcan Atakok, Mufit Cun

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Industry 4.0; Product Data Management; Product Life Cycle Management; Concurrent Engineering; Validation of Design

Online: 31 August 2020 (04:17:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0589.v1

Globalization, Quality and Systems Thinking: Integrating Global Quality Management and a Systems View

Aviva Bashan, Sigal Kordova

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: globalization; systems thinking; global quality ‎management; global quality system

Online: 27 August 2020 (03:28:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0510.v1

Theoretical Derivation and A Single Abrasive Particle on Material Removed of Slicing Ceramic

Yao-Yang Tsai, Ming-Chang Wu, Yunn-Shiuan Liao, Chung-Chen Tsao, Chun-Yao Hsu

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: wire-saw machining; material removal processing; brittle fracture; plastic deformation

Online: 24 August 2020 (08:00:01 CEST)

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Working Paper ARTICLE

Project Management Monitoring Based on Expected Duration Entropy

Shiva Cohen Kashi, Shai Rozenes, Irad Ben-Gal

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Project Management; Information Theory; Uncertainty

Online: 7 August 2020 (11:43:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0139.v1

Copper Price Prediction Using Support Vector Regression Technique

Gabriel Astudillo, Raúl Carrasco, Christian Fernández-Campusano, Máx Chacón

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: copper price; prediction; support vector regression

Online: 6 August 2020 (08:26:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0137.v1

Real-time Production and Logistics Self-adaption Scheduling based on Information Entropy Theory

Wenchao Yang, Wenfeng Li, Yulian Cao, Yun Luo, Lijun He

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: industrial internet of things; random job arrival time; information entropy theory; self-adaption; real-time scheduling

Online: 6 August 2020 (06:00:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0108.v1

A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life

Amin Gharehyakheh, Caroline C. Krejci, Jaime Cantu, K. Jamie Rogers

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: sustainable distribution; food perishability; multi-objective optimization; temperature prediction; shelf life; food waste; NSGA-II

Online: 5 August 2020 (04:34:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0697.v1

A Novel Integrated Machine & Business Intelligence Framework for Sensor Data Analysis

Kalyani akiri, Venkat Rao b

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: RUL prediction; sensors; IOT; aircraft engine; business intelligence

Online: 29 July 2020 (12:34:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0684.v1

Parametric Cost Estimation Model for Li-ion Battery Pack of E-motorcycle Conversion based on Activity Based Costing

Sofi Desi Susanti, Yuniaristanto Yuniaristanto, Wahyudi Sutopo, Rina Wiji Astuti

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: activity-based costing; battery pack; e-motorcycle conversion

Online: 28 July 2020 (13:55:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202006.0043.v1

Thermal Characteristics of Okra (Abelmoschus Esculentus) Fibers Obtained via Water- and Dew-Retting

Dawid Stawski, Ebru Çalişkan, Nazire Yilmaz, Izabella Krucińska

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: okra bast fibers; agro-residual fibers; thermal properties; mechanical properties

Online: 5 June 2020 (06:06:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202006.0037.v1

Performance Measurement and Improvement of Healthcare Service Using Discrete Event Simulation in Bahir Dar Clinic

Aregawi yemane Meresa, Hagazi Abrha Heniey, Kidane Gidey

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Discrete Event Simulation; Performance Analysis; WIP; Model; Healthcare

Online: 4 June 2020 (13:46:19 CEST)

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Preprint REVIEW | doi:10.20944/preprints202006.0007.v1

The Hype and Disruptive Technologies of Industry 4.0 in Major Industrial Sectors: A State of the Art

Ocident Bongomin

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: 3D printing; Agriculture 4.0; Artificial of intelligence; Blockchain; Big Data; Coronavirus; Education 4.0; Energy 4.0; Finance 4.0; Globalization 4.0; Healthcare 4.0; Industry 4.0 technologies; Internet of Things; Learning Factory; Logistic 4.0

Online: 2 June 2020 (15:02:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0384.v1

From Centralized Systems to Distributed 5G-Enabled Manufacturing

Kathryn Baxter, John Lundberg

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: 5G Wireless Technology; Artificial Intelligence; Blockchain; Cloud Computing; Cyber-Physical System

Online: 24 May 2020 (16:10:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0048.v1

Simulation Metamodeling Approach to Complex Design of Garment Assembly Lines

Ocident Bongomin

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: Arena software, Discrete event simulation, Design of simulation experiment, Metamodeling, Regression metamodel, Simulation modeling, NYTIL, Resolution V design, Experimental design, Throughput

Online: 4 May 2020 (10:03:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0387.v1

Development of Machine Vision System for Pen Parts Identification under Various Illumination Conditions in an Industry 4.0 Environment

Niksa Mohammadi Bagheri, Hans Wernher van de Venn, Peiman Mosaddegh

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: industry 4.0; vision system; image processing; machine learning; pen parts feature identification; illumination variation; fuzzy C-means algorithm

Online: 21 April 2020 (13:48:10 CEST)

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Preprint REVIEW | doi:10.20944/preprints202004.0187.v1

Sustainable and Dynamic Competitiveness Towards Technological Leadership of Industry 4.0: Implications for East African Community

Ocident Bongomin, Eric Oyondi Nganyi, Mfanga Ramadhani Abswaidi, Emmanuel Hitiyise, Godias Tumusiime

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: 3D printing; Artificial intelligence; Big Data; Crafting the Future; Digital Strategy 2025; High-Tech Strategy 2025; ICT policy; Industry 4.0; Initiative; Internet of things; Made in China 2025; Make in India; M-Pesa; Public-private partnership; Society 5.0

Online: 12 April 2020 (09:08:45 CEST)

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Preprint REVIEW | doi:10.20944/preprints202004.0054.v1

Distributed Manufacturing of Open-Source Medical Hardware for Pandemics

Joshua Pearce

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: pandemic; influenza pandemic; open source; open hardware; COVID-19; COVID-19 pandemic; medical hardware; open source medicine

Online: 6 April 2020 (12:38:59 CEST)

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Working Paper ARTICLE

Microstructural and Corrosion Properties of PEO Coated Zinc-Aluminized (ZA) Steel

Luca Pezzato, Alessio Giorgio Settimi, Pietrogiovanni Cerchier, Claudio Gennari, Manuele Dabala, Katya Brunelli

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: plasma electrolytic oxidation; PEO; coatings; steel; corrosion; zinc-aluminized

Online: 29 March 2020 (01:35:10 CET)

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Preprint ARTICLE | doi:10.20944/preprints202003.0322.v1

Supplier Replacement Model in a One-Level Assembly System under Lead-Time Uncertainty

Hasan Murat Afsar, Oussama Ben-Ammar, Alexandre Dolgui, Faicel Hnaien

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: assembly systems; replenishment; stochastic lead times; holding cost; backlogging cost; purchase cost; optimization

Online: 23 March 2020 (01:05:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints202003.0041.v1

Effect of Ultrasonic-assisted and Microwave-assisted Technology on Bioactive Compounds and Aroma Quality of Instant Green Tea

Xiaozhou Zhou, Xiuhua Fu, Zhusheng Fu, Xingqian Ye

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: ultrasonic wave; microwave; instant green tea; extraction rate; active components; aroma

Online: 3 March 2020 (11:38:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202002.0457.v1

Influence of Cross Section Thickness and Aspect Ratio on Deformation during Diffusion Bonding and Impact of Metal Diffusion and Evaporation on Temperature Measurement Accuracy

Thomas Gietzelt, Volker Toth, Manfred Kraut, Uta Gerhards, Robin Duerrschnabel

Subject: Engineering, Industrial & Manufacturing Engineering Keywords: diffusion welding; diffusion bonding; cross section width; aspect ratio; material thickness; thermocouple aging

Online: 29 February 2020 (09:01:14 CET)

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Diffusion bonding is often used on pre-machined parts to generate internal cavities, e.g. for cooling injection molding tools close to the mold cavity. Only then, the workpieces are finished to their final dimensions. In the case of micro-process devices, however, it is essential to precisely control the deformation, as otherwise uncontrollable pressure losses will occur with channel cross-sections in the sub-millimeter range. Post-processing is not possible. The most important process parameters for diffusion bonding are temperature, dwell time and contact pressure, with the bonding temperature and contact pressure acting in opposite directions and showing a strong non-linear dependence on deformation. In addition, the deformation is influenced by a number of other factors such as the absolute size of the cross-section and the aspect ratio of the parts, the dimensions and distribution of the internal cross sections and the overall percentage of the cross-section to be bonded. In micro process engineering, small material cross-sections in the range of the materials microstructure can facilitate additional deformation mechanisms such as grain boundary sliding, which are not relevant at all for larger structures. For parts consisting of multiple layers, tolerances in thickness and roughness of multiple surfaces must be levelled, contributing to the percentaged deformation. This makes it difficult, especially in micro process engineering and in single or small series production, to determine suitable joining parameters in advance, which on the one hand do not cause unforeseen large deformations, but on the other hand reliably produce highly vacuum-tight components. Hence, a definition of a fixed percentaged deformation does not work for all kinds of components. This makes it difficult to specify parameters for surely obtain high-vacuum tight parts. For successful diffusion bonding, atoms must diffuse over the bonding planes, forming a monolithic part in which the original layers are no longer visible. Only then, mechanical properties identical to those of the base material, which has been subjected to identical heat treatment, can be achieved. In this paper, the impacts of different material cross section widths as well as of the aspect ratio on deformation were investigated. By accident, it was found that also accuracy of the temperature measurement may have a serious impact in terms of deformation.

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