Fuzzy and stochastic programming
Fuzzy Sets and Systems - Special Double issue Fuzzy Set Theory in the USSR
Possibilistic linear programming with triangular fuzzy numbers
Fuzzy Sets and Systems
Stochastic versus possibilistic programming
Fuzzy Sets and Systems
A new approach to some possibilistic linear programming problems
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Fuzzy mathematical programming
Production-distribution planning in supply chain considering capacity constraints
Computers and Industrial Engineering - Supply chain management
A combined model of network design and production/distribution planning for a supply network
Computers and Industrial Engineering - Supply chain management
Application of fuzzy multi-objective linear programming to aggregate production planning
Computers and Industrial Engineering
Computers and Operations Research
Fuzzy-genetic approach to aggregate production-distribution planning in supply chain management
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Hybrid genetic algorithm for multi-time period production/distribution planning
Computers and Industrial Engineering - Special issue: Selected papers from the 30th international conference on computers; industrial engineering
Application of fuzzy sets to manufacturing/distribution planning decisions in supply chains
Information Sciences: an International Journal
Application of Fuzzy Sets to Aggregate Production Planning With Multiproducts and Multitime Periods
IEEE Transactions on Fuzzy Systems
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This work develops a possibilistic programming method to solve multi-product and multi-time period production/distribution planning decision PDPD problems involving imprecise goals, forecast demand and cost/time coefficients in uncertain environments. The proposed method attempts to simultaneously minimize total production and distribution costs and total delivery time in relation to inventory levels, available machine capacity and labor levels at each source, as well as forecast demand and available warehouse space at each destination, and considering the constraint of available budget. An industrial case is used to demonstrate the feasibility of applying the proposed method to real-world PDPD problems. Moreover, several significant management implications regarding the practical application of the proposed method are presented.