Version 1
: Received: 1 September 2018 / Approved: 3 September 2018 / Online: 3 September 2018 (08:36:12 CEST)
Version 2
: Received: 27 December 2019 / Approved: 29 December 2019 / Online: 29 December 2019 (08:36:38 CET)
How to cite:
Jiménez, J.A.; Hernández, S.; Ruelas, E.A.; Baheza, R.; Yáñez, P.; Medina, J.M.; Téllez, S.; Tapia, M.; Figueroa, V. Methodology to Analyze the Productive and Environmental Performance of a Supply Chain through Simulation Scenarios. Preprints2018, 2018090015. https://doi.org/10.20944/preprints201809.0015.v2
Jiménez, J.A.; Hernández, S.; Ruelas, E.A.; Baheza, R.; Yáñez, P.; Medina, J.M.; Téllez, S.; Tapia, M.; Figueroa, V. Methodology to Analyze the Productive and Environmental Performance of a Supply Chain through Simulation Scenarios. Preprints 2018, 2018090015. https://doi.org/10.20944/preprints201809.0015.v2
Jiménez, J.A.; Hernández, S.; Ruelas, E.A.; Baheza, R.; Yáñez, P.; Medina, J.M.; Téllez, S.; Tapia, M.; Figueroa, V. Methodology to Analyze the Productive and Environmental Performance of a Supply Chain through Simulation Scenarios. Preprints2018, 2018090015. https://doi.org/10.20944/preprints201809.0015.v2
APA Style
Jiménez, J.A., Hernández, S., Ruelas, E.A., Baheza, R., Yáñez, P., Medina, J.M., Téllez, S., Tapia, M., & Figueroa, V. (2019). Methodology to Analyze the Productive and Environmental Performance of a Supply Chain through Simulation Scenarios. Preprints. https://doi.org/10.20944/preprints201809.0015.v2
Chicago/Turabian Style
Jiménez, J.A., Moisés Tapia and Vicente Figueroa. 2019 "Methodology to Analyze the Productive and Environmental Performance of a Supply Chain through Simulation Scenarios" Preprints. https://doi.org/10.20944/preprints201809.0015.v2
Abstract
This article aims to serve as a guide for the construction of supply chain simulation models designed with a lean approach, using Promodel software. To achieve this, a supply chain was designed for a fictitious company located in the City of Celaya, Guanajuato and a set of suppliers located in different cities within the same State. It was used as a google tool to define the distances between each of the companies. As a final result, a representative model of a supply chain was obtained, as well as a methodology that allows the construction of lean supply chains regardless of the number of companies that comprise it. The effect of the variability in the delivery times between suppliers was incorporated into the simulation model, as well as an equation that calculates the pollution emissions of the vehicles that integrate the network that moves the products between the companies. With this work it is possible to represent networks of supply chains of real world companies, where the variability and contamination factor is included, to facilitate the decision making regarding the number of vehicles, inventory levels, quantities to be shipped, frequency in the shipments, etc. with the purpose of contaminating as little as possible and at the same time preventing interruptions in the supply chain using the least amount of resources possible.
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received:
29 December 2019
Commenter:
JOSÉ ALFREDO JIMÉNEZ GARCÍA
Commenter's Conflict of Interests:
Author
Comment:
The title was modified.
The introdution includes more details.
The literature review is more colplete.
The discussión and the conclusion is more extense.
We aggregaed more references
Commenter: JOSÉ ALFREDO JIMÉNEZ GARCÍA
Commenter's Conflict of Interests: Author
The introdution includes more details.
The literature review is more colplete.
The discussión and the conclusion is more extense.
We aggregaed more references