supply chain management analyzing/modelling
Farzaneh Rezaee; Nazanin pilevari
Abstract
Purpose: In the current complicated supply chains, sustainability and two social and environmental perspectives have significantly caught researchers’ attention due to their significant role in cost reduction. The present study aims to propose a sustainable multi-tier supply chain model for power ...
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Purpose: In the current complicated supply chains, sustainability and two social and environmental perspectives have significantly caught researchers’ attention due to their significant role in cost reduction. The present study aims to propose a sustainable multi-tier supply chain model for power plant products for industrial and manufacturing factories.Methodology: To this end, a mathematical model was proposed with three objectives: maximizing the social responsibility, minimizing the emission of environmental pollutants, and reducing the costs of the supply chain. The whale and genetic metaheuristic algorithms were employed to propose and solve the model since sustainable supply chain planning was considered an NH-hard problem.Findings: In order to solve the proposed model, the experimental sample was designed in three groups including small, medium, and large in terms of the data of Atmosphere Company. The results of whale optimization and genetic algorithms were compared according to the comparative indices of quality, dispersion, uniformity, and solving time.Originality/Value: According to the results, the whale algorithm was able to provide higher quality and near-optimal solutions than genetic algorithm; in addition, by comparison, it could efficiently explore and extract possible areas of the solution in terms of quality and dispersion indices. However, a shorter amount of time was required for genetic algorithm to uniformly find solutions.
meta-heuristic algorithms
javid ghahremani nahr
Abstract
With the expansion and intensification of competition, supply chain management has become one of the key issues facing economic firms, as all the activities of organizations to produce products, improve quality, reduce costs and provide services required by customers, has been affected. In this research, ...
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With the expansion and intensification of competition, supply chain management has become one of the key issues facing economic firms, as all the activities of organizations to produce products, improve quality, reduce costs and provide services required by customers, has been affected. In this research, a closed loop supply chain network include levels of (manufacturing centers, demand zones, collection centers and disposal centers) under certainty is considered. The main objective of this paper is to determine the optimal number and location of potential facilities and determine the optimal flow considering the minimization total supply chain network cost. To solve this model, a new metaheuristics algorithm called the whale Optimization algorithm has been used with novel priority-based encoding. Also, to demonstrate the high efficiency of the proposed method, 21 sample problems were designed in small, medium and large sizes, and the results obtained from the solving method and the results obtained from the methodology for solving the subject literature were compared. Comparisons between solving methods with consideration of the two averages of the objective functions and the average computational time indicate the efficiency of the proposed solution method for the comparison of the other methods of solving.