Optimization of Time - Cost - Quality for Management of Milking Cows, Using Integrated Meta-Heuristic Algorithms and Fuzzy Logic

One of the most important issues in the management of milk production is to select the best option for each production activity, so that the time and cost of production is minimal and quality is the maximum. Considering the large number of activities and options for each activity usually, approaches for obtaining a unique solution is difficult. In this regard, assigning weights to time, cost and quality can lead us to the best answer from the answers obtained. Because decision making for future is based on probability, in the present study an attempt is made to solve the cost and time and quality of milk production process, using fuzzy logic numbers for estimating risk management by defining (α) cut for intervals. Then by applying and comparing two algorithms NSGA-II and MOPSO for each activity in the milk production process under affect of different (α) cut, the best way for performing each activity was determined. Results shows that, MOPSO approach was had a more suitable effect than the NSGA-II approach for solving the problem under conditions of uncertainty (α =0) for amount of time and cost, and quality which was calculated for 2180 days atthe cost of 118228.86 Rialsand 46% in genetic algorithm and 2180 days and118224.20 Rialsand 41% in the particle Swarm algorithm respectively. Also by adjusting (α) rate to work conditions, the risk existed in the production process can be managed while performing the process activities, according the procedure that is determined for each activity during the algorithm performance, the least time and cost and highest quality as much as possible can be achieved.