د. محمد الأشهب - Academia.edu (original) (raw)
د. محمد الأشهب
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Papers by د. محمد الأشهب
Computers & Industrial Engineering, 2022
In this paper, a multi-objective integrated production and energy model for sustainable supply ch... more In this paper, a multi-objective integrated production and energy model for sustainable supply chain design, planning, and energy source selection has been proposed. The model considers economic, environmental, and social concerns. The lexicographic procedure was applied to compromise the conflict objectives with different percentages of deviations. It aims to maximize both profit and overall customer service level while minimizing the gas emissions generated from both transportation and production operations. In addition, the model helps to select the optimal source of energy from three potential sources of energy considering both capital and operating costs, in addition to the selection of the transportation mode (heavy or light trucks) to satisfy customer demand during the planning horizon with six periods of all products. The efficacy of the model has been evaluated using a comprehensive case study in addition to the analysis of several scenarios with various conditions. Six different scenarios have been carried out to validate the effectiveness of the proposed model and to study the effect of changing objective prioritization and the maximum allowable deviation on the performance of the supply.
Ain Shams Engineering Journal, 2022
Global crises such as COVID-19 pandemic and the Russian-Ukrainian war pose many challenges for cl... more Global crises such as COVID-19 pandemic and the Russian-Ukrainian war pose many challenges for closed-loop supply chain networks (CLSCN) due to the lack of supplies of raw materials and returned products. Therefore, this research focused on developing a multi-objective MILP mathematical model for the design and planning of CLSCN to help overcome these challenges considering the uncertainty in both the supplying capacity of the raw materials and the return rate of the used products. The developed models aim to maximize total profit, minimize total cost, and maximize overall customer service level (OCSL) using the e-lexicographic procedure. The effect of variation in both the supply capacity and return rate of the used products on the design and performance of the CLSCN have been studied. It is recommended to optimize the profit then the total cost with a maximum allowable deviation of 5%, and finally optimize the OCSL.
Computers & Industrial Engineering, 2022
In this paper, a multi-objective integrated production and energy model for sustainable supply ch... more In this paper, a multi-objective integrated production and energy model for sustainable supply chain design, planning, and energy source selection has been proposed. The model considers economic, environmental, and social concerns. The lexicographic procedure was applied to compromise the conflict objectives with different percentages of deviations. It aims to maximize both profit and overall customer service level while minimizing the gas emissions generated from both transportation and production operations. In addition, the model helps to select the optimal source of energy from three potential sources of energy considering both capital and operating costs, in addition to the selection of the transportation mode (heavy or light trucks) to satisfy customer demand during the planning horizon with six periods of all products. The efficacy of the model has been evaluated using a comprehensive case study in addition to the analysis of several scenarios with various conditions. Six different scenarios have been carried out to validate the effectiveness of the proposed model and to study the effect of changing objective prioritization and the maximum allowable deviation on the performance of the supply.
Ain Shams Engineering Journal, 2022
Global crises such as COVID-19 pandemic and the Russian-Ukrainian war pose many challenges for cl... more Global crises such as COVID-19 pandemic and the Russian-Ukrainian war pose many challenges for closed-loop supply chain networks (CLSCN) due to the lack of supplies of raw materials and returned products. Therefore, this research focused on developing a multi-objective MILP mathematical model for the design and planning of CLSCN to help overcome these challenges considering the uncertainty in both the supplying capacity of the raw materials and the return rate of the used products. The developed models aim to maximize total profit, minimize total cost, and maximize overall customer service level (OCSL) using the e-lexicographic procedure. The effect of variation in both the supply capacity and return rate of the used products on the design and performance of the CLSCN have been studied. It is recommended to optimize the profit then the total cost with a maximum allowable deviation of 5%, and finally optimize the OCSL.