Journal ArticleDOI
A genetic algorithm to optimize the total cost and service level for just-in-time distribution in a supply chain
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TLDR
A bi-objective model is set up for the distribution network of a three-echelon supply chain, with two objective functions: minimizing costs, and minimizing the sum of backorders and surpluses of products in all periods.About:
This article is published in International Journal of Production Economics.The article was published on 2008-02-01. It has received 213 citations till now. The article focuses on the topics: Supply chain management & Service management.read more
Citations
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Journal ArticleDOI
A review on genetic algorithm: past, present, and future
TL;DR: The analysis of recent advances in genetic algorithms is discussed and the well-known algorithms and their implementation are presented with their pros and cons with the aim of facilitating new researchers.
Journal ArticleDOI
Using multi-objective genetic algorithm for partner selection in green supply chain problems
Wei-Chang Yeh,Mei-Chi Chuang +1 more
TL;DR: The aim of this research was to develop an optimum mathematical planning model for green partner selection, which involved four objectives such as cost, time, product quality and green appraisal score and adopted two multi-objective genetic algorithms to find the set of Pareto-optimal solutions.
Journal ArticleDOI
Service supply chain management: A review of operational models
TL;DR: A selection of papers in the operations research and the management science literature that focus on innovative measures associated with the SSCM are reviewed and insights into the current state of knowledge in each area are derived.
Journal ArticleDOI
Sustainable supply chain management: A case study of British Aerospace (BAe) Systems
TL;DR: In this article, the authors examine the drivers of sustainability and related key features based on extant literature and a case study, and two resultant frameworks emerge that display the interdependence of the triple bottom line and the essential elements required for a sustainable supply chain.
Journal ArticleDOI
A review and critique on integrated production–distribution planning models and techniques
TL;DR: A comprehensive review and critique on the current integrated production-distribution (P-D) planning and optimisation literature is provided in this paper, where the authors classify the published P-D planning models into seven categories based on their degree of complexity and hence capability in addressing real-life scenarios.
References
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Journal ArticleDOI
A multi-objective approach to simultaneous strategic and operational planning in supply chain design
Ehap Sabri,Benita M. Beamon +1 more
TL;DR: An integrated multi-objective supply chain model is developed for use in simultaneous strategic and operational SC planning and will aid in the design of efficient, effective, and flexible supply chain systems and evaluation of competing SC networks.
Journal ArticleDOI
Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices
Cheng-Liang Chen,Wen-Cheng Lee +1 more
TL;DR: A two-phase fuzzy decision-making method is presented and by means of application of it to a numerical example, proved effective in providing a compromised solution in an uncertain multi-echelon supply chain network.
Journal ArticleDOI
Planning and coordination of production and distribution facilities for multiple commodities
TL;DR: An efficient heuristic solution procedure that utilizes the solution generated from a Lagrangian relaxation of the problem is presented and results of extensive tests indicate that the solution method is both efficient and effective.
Journal ArticleDOI
A simulated annealing methodology to distribution network design and management
TL;DR: The PLOT (Production, Logistics, Outbound, Transportation) design system is described, which generates globally feasible, near optimal distribution system design and utilization strategies utilizing the simulated annealing (SA) methodology.
Journal ArticleDOI
Study on multi-stage logistic chain network: a spanning tree-based genetic algorithm approach
TL;DR: In this paper, a spanning tree-based genetic algorithm by using Prufer number representation was proposed to solve the logistic chain network problem formulated by 0-1 mixed integer linear programming model.
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Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices
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