A Novel Hybrid Whale Optimization Algorithm to Solve a Production-Distribution Network Problem Considering Carbon Emissions

Abstract

Nowadays, there is a great deal of attention for regulations of carbon emissions to enforce the decisionmakers of production and distribution networks to redesign their systems satisfactorily. The literature has seen a rapid interest in developing novel metaheuristics to solve this problem as a complicated optimization problem. Such difficulties motivate us to address a production-distribution network design problem considering carbon emissions policies among the first studies in this area by a novel hybrid whale optimization algorithm. Accordingly, a mixed integer non-linear programming model has been developed. To tackle the proposed problem, a new hybrid metaheuristic based on whale optimization algorithm and simulated annealing as a successful optimizer is employed to solve the proposed problem. The calibration of the algorithms has been designed by Taguchi method, comprehensively. Finally, an extensive analysis has been evaluated through a comparative study along with some assessment metrics of Pareto solutions.

A Location-Routing Model for Assessment of the Injured People and Relief Distribution under Uncertainty

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Designing a Sustainable Reverse Logistics Network Considering the Conditional Value at Risk and Uncertainty of Demand under Different Quality and Market Scenarios

“…In recent years, regarding the issues such as lack of natural resources, government laws and environmental concerns, reverse and closed-loop supply chains has been in the center of attention of researchers and decisionmakers [6]. Due to the laws that have been passed by the government recently, the issue of sustainability must be considered in all companies and organizations [7]. Sustainable supply chain means creating a coordinated supply chain by integrating economic, environmental and social considerations with the business systems within a supply chain.…”

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