A Green Closed-loop Supply Chain with Allocating ‎Retailer to Probabilistic Customers by Considering ‎Electric Converter of CO2 to O2 in Vehicles

الموضوعات : Electrical Engineering

Omid Keramatlou ¹ , Nikbakhsh Javadian ² , Hosein Dideh Khani ³ , Mohammad Amirkhan ⁴

1 - Department of Industrial Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
2 - Department of Industrial Engineering, Mazandaran University of Science and Technology
3 - Department of Industrial Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
4 - Department of Industrial Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran

تاريخ الإرسال : 02 الأربعاء , رمضان, 1442 تاريخ التأكيد : 03 الأحد , ذو القعدة, 1442 تاريخ الإصدار : 20 الثلاثاء , شوال, 1442

الکلمات المفتاحية: Green Closed-loop supply chain, Probabilistic customer, Expected distance, Expected coverage, Electric conversion,

ملخص المقالة :

In this paper, a closed-loop supply chain is modeled to obtain the best allocation and location of retailers including production centers, retailers' centers, probabilistic customers, collection and disposal centers. In this study, by considering electric conversion of CO2 to O2 in vehicles, the amount of environmental pollution is minimized. Furthermore, two strategies are considered to find the best places for retailers by focusing on: 1- the type of expected movement (Rectangular, Euclidean, Euclidean Square, and Chebyshev); 2- expected coverage (distance and time). To this end, a bi-objective nonlinear programming model is proposed. This model concurrently compares strategies 1 and 2 and selects the best competitor. Based on the selected strategy, the best allocation is made by employing a heuristic algorithm and the locations of the best retailers are determined. As the proposed model is NP-hard in its nature of the problem, a meta-heuristic, namely, a non-dominated sorting genetic algorithm is employed for the solution process. Eventually, to authenticate and confirm the effectiveness of the suggested model, a numerical example is given and solved utilizing optimization software, and the results are analyzed.