期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 56, 期 4, 页码 1474-1486出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2008.09.010
关键词
Aggregate production planning; Fuzzy goal programming; Goal priorities; Nonlinear programming; Fuzzy numbers; Linguistic values
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. (C) 2008 Elsevier Ltd. All rights reserved.
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