A new approach to some possibilistic linear programming problems
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Fuzzy mathematical programming
Possibilistic programming in production planning of assemble-to-order environments
Fuzzy Sets and Systems
Application of fuzzy multi-objective linear programming to aggregate production planning
Computers and Industrial Engineering
Inequality relation between fuzzy numbers and its use in fuzzy optimization
Fuzzy Sets and Systems
A genetics-based approach for aggregated production planning in a fuzzy environment
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Multiproduct aggregate production planning with fuzzy demands and fuzzy capacities
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Integrating workers' differences into workforce planning
Computers and Industrial Engineering
A possibilistic multiple objective pricing and lot-sizing model with multiple demand classes
Fuzzy Sets and Systems
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Hierarchical production planning (HPP) is a well-known approach to cope with the complexity of multi-level production planning and scheduling problems in real-world industrial cases. However, negligence of some issues such as inherent uncertainty in critical input data (i.e., market demands, production capacity and unit costs) as well as possible infeasibility of these problems due to imposing the decisions made at a higher level as a hard constraint to the inferior level without allowing any deviation often result in the inefficiency of HPP approach in practice. In this regard, we incorporate the fuzzy set theory into the HPP structure to handle the uncertainty and infeasibility issues. Inspired by a real industrial case, a fuzzy HPP (FHPP) model is proposed which is composed of two decision making levels. At first, an aggregate production plan is determined by solving a fuzzy linear programming model at the product family level and then it is disaggregated through another fuzzy linear programming model at the next level to find a disaggregated production plan in final products level. The FHPP model is implemented for the real industrial case and it is compared with the previously developed crisp model. The corresponding results are discussed and some important managerial implications are provided.