Journal Article10.1016/J.CIE.2010.09.011
A new efficient encoding/decoding procedure for the design of a supply chain network with genetic algorithms
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TL;DR: In this paper, an encoding-decoding procedure embedded within a GA was proposed to minimize the total logistic cost resulting from the transportation of goods and the location and opening of the facilities in a single product three-stage supply chain network.
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About: This article is published in Computers & Industrial Engineering. The article was published on 01 Nov 2010. The article focuses on the topics: Supply chain network & Supply chain.
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Citations
A review of applications of genetic algorithms in operations management
TL;DR: A review of the literature on OM with GA-based solutions and possible gaps to suggest possible gaps from the point of view of researchers and practitioners to pave the path for future research to apply GAs to solve OM problems.
190
Bi-objective optimization of a multi-product multi-period three-echelon supply chain problem under uncertain environments
TL;DR: Bi-objective optimization of a multi-product multi-period three-echelon supply-chain-network problem is aimed and parameter-tuned NSGA-II and NRGA with a modified priority-based encoding are proposed to show the applicability.
185
A green supply chain network design framework for the processed food industry: Application to the orange juice agrofood cluster
TL;DR: The proposed framework can help decision makers handle the complexity that characterizes agro food supply chain design decision and that is brought on by the multi-objective nature of the problem as well as by the multiple stakeholders, thus preventing to make the decision in a segmented empirical manner.
127
Resilient food supply chain design: Modelling framework and metaheuristic solution approach
TL;DR: A bi-objective mixed-integer programming formulation for the design of a multi-product resilient food supply chain that makes use of a multiple sourcing policy to deal with unexpected fluctuations of market demand and disruptions in raw materials supply.
121
Managing risk and disruption in production-inventory and supply chain systems: A review
TL;DR: In this paper, the authors present a literature review on risk and disruption management in production-inventory and supply chain systems, focusing on the assumptions and the types of problems considered in the published research.
References
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光男 玄,Runwei Cheng +1 more
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TL;DR: Findings of Genetic Algorithms and Selected Topics in Engineering Design help solve problems in optimization, including Flow-Shop Sequencing Problems, Machine Scheduling Problems, and Facility Layout Design Problems.
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Genetic algorithms and engineering optimization
Mitsuo Gen,Runwei Cheng +1 more
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TL;DR: This paper presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and therefore expensive and labor-heavy process of designing and solving optimization problems.
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Genetic Algorithms and Engineering Design
TL;DR: In this article, genetic algorithms and engineering design are discussed in the context of Genetic Algorithms and Engineering Design (GAEDD) and Genetic Algorithm Design (GAD).
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Supply chain management: an analytical framework for critical literature review
TL;DR: In this article, the authors present and use a framework for the categorisation of literature linked to supply chain management, based on the analysis of a large number of publications (books, journal articles, and conference papers) using a Procite database from which the literature has been classi"ed according to two criteria.
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Understanding supply chain management: Critical research and a theoretical framework
Injazz J. Chen,Antony Paulraj +1 more
TL;DR: In this paper, the authors developed a research framework that improves understanding of supply chain management and stimulates and facilitates researchers to undertake both theoretical and empirical investigat... Although research interests in and the importance of SCM are growing, scholarly materials remain scattered and disjointed, and no research has been directed towards a systematic identification of the core initiatives and constructs involved in SCM.
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