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Can I read Meta-heuristics for Sustainable Supply Chain Management: a Review on EtoBox?
Meta-heuristics for Sustainable Supply Chain Management: a Review by Sohrab Faramarzi-Oghani; Parisa Dolati Neghabadi; El-Ghazali Talbi; Reza Tavakkoli-Moghaddam is a Engineering article available to read on EtoBox.
What is Meta-heuristics for Sustainable Supply Chain Management: a Review about?
Due to the complexity and the magnitude of optimisation models that appeared in sustainable supply chain management (SSCM), the use of meta-heuristic algorithms as competent solution approaches is being increased in recent years. Although a massive number of publications exist around SSCM, no extant paper explicitly investigates the role of meta-heuristics in the sustainable (forward) supply chain. To fill this gap, a literature review is provided on meta-heuristic algorithms applied in SSCM by analyzing 160 rigorously selected papers published by the end of 2020. Our statistical analysis ascertains a considerable growth in the number of papers in recent years and reveals the contribution of 50 journals in forming the extant literature. The results also show that in the current literature the use of hybrid meta-heuristics is overtaking pure meta-heuristics, the genetic algorithm (GA) and the non-dominated sorting GA (NSGA-II) are the most-used single-and multiobjective algorithms, the aspects of sustainability are mostly addressed in connection with product distribution and routing of vehicles as pivotal operations in supply chain management, and last but not least, the economic-en
Who reads Meta-heuristics for Sustainable Supply Chain Management: a Review?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Sohrab Faramarzi-Oghani; Parisa Dolati Neghabadi; El-Ghazali Talbi; Reza Tavakkoli-Moghaddam
- Publisher
- Informa UK Limited
- Published
- 2022
- Language
- EN
- Field
- Engineering (Physical Sciences)