A hybrid fuzzy goal programming approach with different goal priorities to aggregate production planning

In this study a hybrid (including qualitative and quantitative objectives) fuzzy multi objective nonlinear programming (H-FMONLP) model with different goal priorities will be developed for aggregate production planning (APP) problem in a fuzzy environment. Using an interactive decision making proces...

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Vydáno v:Computers & industrial engineering Ročník 56; číslo 4; s. 1474 - 1486
Hlavní autoři: Jamalnia, Abouzar, Soukhakian, Mohammad Ali
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Elsevier Ltd 01.05.2009
Pergamon Press Inc
Témata:
Aggregate production planning
Decision making
Fuzzy goal programming
Fuzzy logic
Fuzzy numbers
Goal priorities
Goal programming
Linguistic values
Nonlinear programming
Optimization algorithms
Production planning
Studies
Aggregate production planning
Fuzzy goal programming
Nonlinear programming
Goal priorities
Fuzzy numbers
Linguistic values
ISSN:0360-8352, 1879-0550
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Shrnutí:In this study a hybrid (including qualitative and quantitative objectives) fuzzy multi objective nonlinear programming (H-FMONLP) model with different goal priorities will be developed for aggregate production planning (APP) problem in a fuzzy environment. Using an interactive decision making process the proposed model tries to minimize total production costs, carrying and back ordering costs and costs of changes in workforce level (quantitative objectives) and maximize total customer satisfaction (qualitative objective) with regarding the inventory level, demand, labor level, machines capacity and warehouse space. A real-world industrial case study demonstrates applicability of proposed model to practical APP decision problems. GENOCOP III (Genetic Algorithm for Numerical Optimization of Constrained Problems) has been used to solve final crisp nonlinear programming problem.
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ISSN:0360-8352
1879-0550
DOI:10.1016/j.cie.2008.09.010