Designing a Green Workshop Model, By Balancing Between Completion Time and Energy Consumption (Case Study: Western Machine-Building Corporation)

The purpose of this study was to evaluate the green timing in the production of two workshops by balancing the completion time and energy consumption. The research method is descriptive-analytic and also applicable to the purpose. This research has been designed to evaluate the performance of solving time-varying multi-machine flow shop problem considering the objective functions of minimizing total finishing time energy consumption, and the total weighted latency and early maturity of the work. Data were gathered through interviews and information from Padideh mashinsazi Gharb company and then implemented in MATLAB software. A total of 30 problems were produced with different dimensions based on commonly used methods and were evaluated by Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and Multiple Objective Particle Swarm Optimization algorithms (MOPSO). Three criteria for comparing MID, MS, and SNS were used along with the solution time to compare different states of the algorithm. Considering sustainability considerations in the timing of production and construction, in addition to the economic benefits of reducing carbon emissions, it helps the environment. The results of the comparison of the two algorithms using two hierarchical and tops analysis methods showed that the outputs from the comparison of the NSGA-II algorithm with the MOPSO algorithm are better for these problems.