An interactive fuzzy programming system
Fuzzy Sets and Systems
Freezing the master production schedule under rolling planning horizons
Management Science
A general model for fuzzy linear programming
Fuzzy Sets and Systems
Relating different approaches to solve linear programming problems with imprecise costs
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
A fuzzy linear programming model for production planning in coal mines
Computers and Operations Research
Material Requirements Planning: The New Way of Life in Production and Inventory Management
Material Requirements Planning: The New Way of Life in Production and Inventory Management
Dynamic Programming
Material Requirement Planning with fuzzy constraints and fuzzy coefficients
Fuzzy Sets and Systems
Fuzzy point estimation and its application on fuzzy supply chain analysis
Fuzzy Sets and Systems
Product mix problems considering several probabilistic conditions and flexibility of constraints
Computers and Industrial Engineering
Fuzzy optimization for supply chain planning under supply, demand and process uncertainties
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
Supply chain network modeling in a golf club industry via fuzzy linear programming approach
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Fuzzy linear programming approach to multi-mode distribution planning problem
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Computers and Electronics in Agriculture
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In manufacturing environments with complex product structures and multiple production stages, material requirements planning (MRP) systems are the most commonly used for production planning and material supply decision making. However, in practice diverse difficulties arise, such as uncertainty in market demand, resources with limited available capacities, uncertainty in capacity data or uncertain costs. Likewise, classical procedures of resolution applied in MRP environments do not optimize production decisions. This paper provides a new linear programming model for medium term production planning in a capacity constrained MRP, multi-product, multi-level and multi-period manufacturing environment. Then, this model is transformed into three fuzzy models with flexibility in the objective function, in the market demand and in the available capacity of resources. The main goal is to determine the master production schedule, the MRP for each raw component in each period, stock levels, delayed demand, and capacity usage levels over a given planning horizon in such a way as to hedge against uncertainty. Finally, the model is tested using real data from an automobile seat manufacturer.