Improving the Steel Household Appliances Production Through Simulation and Gray Proximity Indexed Value
نویسندگان
1 Department of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran
2 Department of Industrial Engineering, K.N.Toosi University of Technology, Tehran, Iran
3 Department of Management, Zand Higher Education Institute, Shiraz, Iran
4 Department of Management, Zand Higher Education Institute, Shiraz, Iran
doi
10.22034/ijissi.2025.2036644.1298چکیده
Improving the efficiency of the production process is one of the most critical goals for manufacturing companies to reduce costs and compete in the market. Identifying and resolving process bottlenecks is essential to enhance efficiency. This issue is particularly significant in the steel products industry due to the complexity and large scale of production lines. This research investigated the efficiency improvement of the sink production process at Alborz Steel Company using Discrete event simulation and gray multi-criteria decision-making. Through simulation, the current conditions of the production line and process bottlenecks were identified, and five suggested scenarios were examined for their improvement. These scenarios are designed based on preventive maintenance, adding operators, outsourcing part of the process, adding a new device, and combining the previous four scenarios. The results show that the combined four scenarios would improve production productivity by 6.08% and reduce waste by 27.13%, with a 6.66% increase in the number of personnel in the production process. However, the criteria of cost, improvement in the company's technical capabilities, and ease of execution should also be considered in order to prioritize the scenarios. Hence, the Proximity Indexed Value approach was used in multi-criteria decision-making to prioritize the scenarios. Given the probabilistic nature of the simulation results and the uncertainty of experts' opinions, the gray Proximity Indexed Value method was developed. The prioritization of the scenarios based on simulation results and expert criteria was preventive maintenance, adding operators, adding a new device, and outsourcing part of the process.