نوع مقاله : مقاله پژوهشی
نویسندگان
1 کارشناسی ارشد، گروه مدیریت، دانشکده علوم اداری و اقتصادی، دانشگاه فردوسی مشهد، مشهد، ایران.
2 دانشیار، گروه مدیریت، دانشکده علوم اداری و اقتصادی، دانشگاه فردوسی مشهد، مشهد، ایران.
3 دکتری، گروه مدیریت، دانشکده علوم اداری و اقتصادی، دانشگاه فردوسی مشهد، مشهد، ایران.
4 دانشجوی کارشناسی ارشد، گروه مدیریت، دانشکده علوم اداری و اقتصادی، دانشگاه فردوسی مشهد، مشهد، ایران.
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Abstract
Introduction: Paying attention to the production and productivity of industries can, while accelerating industrial growth and development, guide it on a correct and principled path. Evaluating production efficiency and improving it play a highly effective role in the growth and development of industries. This study proposes an approach to evaluate and improve the production efficiency of a production line using simulation and addresses the reengineering of the production line process. The main objectives of this research are to identify bottlenecks, examine the production cycle time and buffer capacities within a specific time unit, and determine the required resource capacity in the factory.
Methods:This paper examines a production line with fully automated machinery, providing a systematic research implementation based on discrete-event simulation. Modeling of the production line was conducted in two steps. In the first step, rework and separation activities were not considered, while in the second step, these details were added to the model. In this phase, real data collected from a case study were applied to the model. To verify the accuracy of the designed model, the logic of the modeled process was continuously reviewed, and the model outputs were compared with the actual system. After identifying factors contributing to decreased production line efficiency, four proposed scenarios were evaluated within the improvement model to enhance production line efficiency. Arena's capabilities were used to assess the improvement scenarios and conduct sensitivity analysis on them.
Results and discussion: The results indicate that after incorporating activities such as operator break times, downtimes, and adjustments into the model, which bring the designed model closer to reality, the efficiency decreased from 80% to 57%. Rework and separation activities also had a significant impact on the model's efficiency. In the optimized model, four improvement scenarios were applied. In the first scenario, by thoroughly examining the changes in resource capacities related to main processes in a combined model, the waiting time of entities in process queues was significantly reduced, and the overall process time was noticeably shortened, leading to a more efficient workflow and improved operational performance. In the second scenario, reducing the percentage of parts sent to separation and rework was thoroughly examined, showing a considerable increase in overall operational efficiency. This approach highlighted the importance of minimizing unnecessary processing steps. In the third scenario, improvement was pursued by defining the objective as "determining control variable values to minimize process time," and the fourth scenario aimed at "determining optimal resource capacities to maximize overall efficiency and enhance productivity." After identifying control and response variables, these scenarios also demonstrated that strategically increasing the resources for processes identified as bottlenecks, in a balanced and logical combination, significantly improves overall process efficiency and reduces potential delays effectively. Sensitivity analysis further indicated alignment of the scenarios with real-world conditions.
Conclusion: The findings revealed that the use of discrete-event simulation can greatly assist managers in making informed decisions on how to improve production efficiency, without incurring irreversible costs. Furthermore, the results are consistent with previous research that utilized discrete-event simulation to enhance various organizational processes.
کلیدواژه‌ها [English]
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