Development of On-line load balancing algorithm in workshop systems (qualitative study)

Subject Areas : Industrial Management

Nima Rahmani ¹ , Alireza Irajpour ² , Naser Hamidi ³ , Akbar Alamtabriz ⁴ , Reza Ehtesham Rasi ⁵

1 - Department of industrial management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
2 - Assistant Professor, Department of industrial management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
3 - Associate Professor, Department of industrial management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
4 - Professor, Department of industrial management, Shahid Beheshti University, Tehran, Iran
5 - industrial Management,

Received: 2020-02-05 Accepted : 2020-07-05 Published : 2020-09-07

Keywords: Operability, Qualitative study, On-line balancing algorithm, COPRAS, SWARA,

Abstract :

One of the most important problems at the tactical level is the mass production of different orders, each of which has different priorities according to the production conditions and the importance of customers. The production line consists of several workstations and machines, each in production frequency. They are interconnected and the input is one output. In this case, each machine and process that must produce the product is faced with process and technology limitations in terms of time, volume and weight of each work and physical health of machines, manpower efficiency. This article aims to take into account all the factors affecting the balancing of the production line, which is of particular importance in workshop production planning, and by analyzing the history of solving the problems of the production line and using experts, the component Identify the ones that are effective in planning and scheduling the production line, and using the combined method of Swara and Copras, these effective components add to the balancing algorithm in time in production systems. The results of this study show that the update made in the balancing algorithm during the production line compared to the previous methods has operational capability and quality in results

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