Location and allocation decisions in a two-echelon supply chain with stochastic demand - A genetic-algorithm based solution

Expert Systems with Applications

Volumn 38, Issue 5, 2011, Pages 6125-6131

  Wang, Kung Jeng ^a   Makond, Bunjira ^a   Liu, S Y ^b  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b New Tang Dynasty Television Co   (Taiwan)

Author keywords

Facilities planning and design; Genetic algorithm; Stochastic programming; Task allocation

Indexed keywords

ALLOCATION DECISION; CLUSTER EFFECTS; COMPUTATIONAL TIME; FACILITIES PLANNING AND DESIGN; FACILITY LOCATIONS; FINITE SET; FORMAL REPRESENTATIONS; GREEDY HEURISTICS; LARGE SIZES; LOCATION ALLOCATION PROBLEM; NEAR-OPTIMAL SOLUTIONS; OPTIMAL SOLUTIONS; POTENTIAL SITES; SOLUTION ALGORITHMS; STOCHASTIC DEMAND; SYSTEM CONFIGURATIONS; TASK ALLOCATION; TASK ASSIGNMENT; TWO-ECHELON SUPPLY CHAIN;

DESIGN; GENETIC ALGORITHMS; OPTIMAL SYSTEMS; OPTIMIZATION; PROBLEM SOLVING; PROFITABILITY; STOCHASTIC PROGRAMMING; STOCHASTIC SYSTEMS; SUPPLY CHAIN MANAGEMENT; SUPPLY CHAINS;

CLUSTERING ALGORITHMS;

EID: 79151477433     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.11.008     Document Type: Article

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