A bi-objective green closed-loop supply chain with retailer's location and possibility allocating vertices by probabilistic customers
Year: 2022
Type: preprint
Abstract: The closed-loop supply chain networks include the return processes and the producers aim to capture additional values by considering further integration of all supply chain activities. In this paper, a closed-loop supply chain is modeled to obtain the best allocation and location of retailers including production and distribution centers, the warehouse of manufactured products, retailers' centers, probabilistic customers, collection, repair, and disposal centers so that the amount of environmental pollution and CO2 emissions by taking into account the conversion of CO2 to O2 in vehicles’ gas converters, is minimized. In this research, 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 the nature of the problem, a meta-heuristics, namely, 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.
Source: Research Square
Language: English
Subfield: Strategy and Management
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W4206935554