Mathematical modeling and problem solving Integrated production planning and preventive maintenance with limited human resources
Subject Areas :
Statistics
، mohammd sharifzadegan
1
,
Adel Pourghader Chobar
2
1 - Department of Industrial Engineering, Masjed Soleiman Branch, Islamic Azad University, Masjed Soleiman, Iran
2 - Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran,
Received: 2021-03-04
Accepted : 2022-01-10
Published : 2022-12-22
Keywords:
واژههای کلیدی: برنامهریزی تولید ادغامی,
تعمیرات و نگهداری پیشگیرانه,
برنامهریزی منابع انسانی,
Abstract :
The need for integration has long been the focus of researchers and industry managers. Therefore, some researchers sought to coordinate and integrate production, maintenance and repair. The issues of integrating production planning, maintenance and repair and quality control with other parts of production and industrial systems reduce costs and increase the profitability of production organizations. Accordingly, in this research, integration and continuity in simultaneous planning of production areas and support in production organizations have been discussed. These areas include the schedule of production, maintenance and preventive maintenance, and human resources. Therefore, the mathematical optimization model is presented with the aim of manpower planning and increasing the volume of the company's production by considering the limitations of human resources. In this model, personnel skills, equipment usage rate and equipment failure rate in case of uncertainty with fuzzy method are used in the model parameters. The purpose of the proposed model is to minimize the labor force deficit over production efficiency. The results obtained from the implementation in a production organization by comparing the indefinite and meta-innovative solution show the improvement in the company's production with the least reasonable time, provide answers with the least possible error. Sensitivity analysis shows that the rate of equipment failure in the intervals before and after the preventive maintenance process has a great impact on the value of the objective function of the mathematical model.
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