Version 1
: Received: 6 October 2023 / Approved: 6 October 2023 / Online: 9 October 2023 (09:26:45 CEST)
How to cite:
Ghahremani-Nahr, J.; Nozari, H.; Samadi Parviznejad, P.; Rahmaty, M. The Multi-Objective Model of the Hub Covering Location-Routing Problem with Simultaneous Delivery and Pickup Under Uncertainty. Preprints2023, 2023100411. https://doi.org/10.20944/preprints202310.0411.v1
Ghahremani-Nahr, J.; Nozari, H.; Samadi Parviznejad, P.; Rahmaty, M. The Multi-Objective Model of the Hub Covering Location-Routing Problem with Simultaneous Delivery and Pickup Under Uncertainty. Preprints 2023, 2023100411. https://doi.org/10.20944/preprints202310.0411.v1
Ghahremani-Nahr, J.; Nozari, H.; Samadi Parviznejad, P.; Rahmaty, M. The Multi-Objective Model of the Hub Covering Location-Routing Problem with Simultaneous Delivery and Pickup Under Uncertainty. Preprints2023, 2023100411. https://doi.org/10.20944/preprints202310.0411.v1
APA Style
Ghahremani-Nahr, J., Nozari, H., Samadi Parviznejad, P., & Rahmaty, M. (2023). The Multi-Objective Model of the Hub Covering Location-Routing Problem with Simultaneous Delivery and Pickup Under Uncertainty. Preprints. https://doi.org/10.20944/preprints202310.0411.v1
Chicago/Turabian Style
Ghahremani-Nahr, J., Paria Samadi Parviznejad and Maryam Rahmaty. 2023 "The Multi-Objective Model of the Hub Covering Location-Routing Problem with Simultaneous Delivery and Pickup Under Uncertainty" Preprints. https://doi.org/10.20944/preprints202310.0411.v1
Abstract
In this paper, a model of the hub covering the location-routing problem with simultaneous delivery and pickup should be designed in order to minimize the total costs, minimize the maximum vehicles travel time and minimize the amount of CO_2 gas emissions. Two-stage stochastic programming is used in this paper to control the uncertainty parameters of the problem. The mathematical model aims to decide the appropriate location of hubs and vehicle routing for simultaneous delivery and pickup of products. In this regard, the results obtained from the LP-Metric method show that there is a conflict between the objective functions, and with the reduction of the amount of CO_2 gas emissions and the reduction of the maximum vehicles travel time, the total costs have increased. On the other hand, by examining the economical factor, it was observed that by reducing this factor, the robustness factors are changed and the total costs of the network are reduced. MOIWO and MOALO were used to solve the problem in large scale, the result of which was the existence of a significant difference between the calculation time averages. Also, the efficiency of these methods was very high compared to the LP-Metric method and the maximum relative difference was less than 2.83%. The results of numerical examples show a higher efficiency of the MOALO than the MOIWO.
Keywords
hub covering location-routing; simultaneous delivery and pickup; Two-stage stochastic programming
Subject
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.
