Developing a heuristic algorithm for order production planning using network models under uncertainty conditions

In this paper, a practical and appropriate algorithm is provided for order production planning under uncertainty conditions. Producing the order production projects using different methodologies is facing uncertainty and therefore specific techniques are required to determine their production planning schedule. Network models combining fuzzy logic to define the sequence of the production stages and uncertainty are appropriate tools for order production planning modeling. In this paper, start time parameters of each activity, duration of each activity and number of loops in the products production network are defined as triangular fuzzy numbers (pessimistic, possible, optimistic) and results of the production planning are defined as fuzzy sets. In this paper, network calculations including fuzzy forward CPM are performed. Output of this algorithm is a fuzzy order production schedule. This method is more practical than existing production planning schedules determination methods and has less calculation and has upgrade and mechanization capability. 2006 Elsevier Inc. All rights reserved.