Learning and Forgetting Model in Identical Parallel Machines with Multiple Product Considering Product Changeover and Set-Up Times Under Demand Uncertainty: A Research Framework

Wulung, R.B. Seno Learning and Forgetting Model in Identical Parallel Machines with Multiple Product Considering Product Changeover and Set-Up Times Under Demand Uncertainty: A Research Framework. In: Proceedings of the Asia Pacific Industrial Engineering & Management Systems Conference 2017.

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Abstract

Technology is known as the important factor for enhancing the competitiveness of industries. The success of technology transfer process is influenced by the absorptive capacity of the receiver transfer. The absorptive capacity is depended on the technology level of receiver transfer and related to the previous knowledge. Forgetting is acknowledged in previous research as a factor will make the technology level is decreasing while the production break is the important factor. The previous research considered rework process restorations and product changeover as a production break. Unfortunately, there have been limited studies that incorporated product changeover which related to identical parallel machines scheduling with multiple products. The types of products will be produced in the machines sequentially and influence the length of the set-up time as production break. The production break in the manufacturing companies is also influenced by the types of product based on customer demand under uncertainty situation. This paper proposes learning-forgetting model considering products changeover and set-up time under demand uncertainty in identical parallel machines. We consider the situation in the plastic injection molding company which attempt to schedule identical-parallel injection molding machines for different multiple types of products with sequence depended set-up time. Furthermore, we consider the variation of the types of products is under demand uncertainty. Moreover, we analyze the impact of scheduling scenarios to the learningforgetting process that related to the product quality

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