Abstract | ||
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In this paper, we consider a multi-period fuzzy production and sourcing problem that a manufacturer has a number of plants and subcontractors. Each source has a different production cost and capacity. The manufacturer has to meet the products demand according to the service level requirements set by its customers. Based on credibility theory, a new class of minimum risk production planning model is first proposed. Then we deal with the approximation of the fuzzy production planning problem with credibility service level constraints with minimum risk criteria. After that, a hybrid algorithm, which integrates approximation approach and particle swarm optimization algorithm, is designed to solve the proposed production planning problem, and a numerical example is provided to test the effectiveness of the hybrid algorithm. |
Year | DOI | Venue |
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2008 | 10.1109/ICNC.2008.286 | ICNC |
Keywords | Field | DocType |
fuzzy set theory,credibility theory,service level requirements,fuzzy production planning approximation problem,credibility approach,approximation theory,production planning,manufacturing systems,different production cost,particle swarm optimisation,particle swarm optimization,multi-period fuzzy production,multiperiod fuzzy production-sourcing problem,hybrid algorithm,particle swarm optimization algorithm,minimum risk production planning model,proposed production planning problem,fuzzy production planning problem,credibility function,credibility service level constraint,approximation approach,minimum risk production planning,sourcing problem,product demand,planning,stochastic processes,approximation algorithms,service level,production | Approximation algorithm,Mathematical optimization,Hybrid algorithm,Service level,Computer science,Fuzzy logic,Credibility theory,Fuzzy set,Production planning,Service level requirement | Conference |
Volume | ISBN | Citations |
7 | 978-0-7695-3304-9 | 0 |
PageRank | References | Authors |
0.34 | 10 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yanfei Lan | 1 | 218 | 15.92 |
Yankui Liu | 2 | 433 | 35.42 |