A flow shop batch scheduling model with pre-processing and time-changing effects to minimize total actual flow time

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Pubblicato in:Journal of Industrial Engineering and Management vol. 17, no. 2 (2024), p. 542
Autore principale: Kurniawan, Dwi
Altri autori: Rinto Yusriski, Isnaini, Mohammad Mi'radj, Ma'ruf, Anas, Abdul Hakim Halim
Pubblicazione:
Vicenc Fernandez
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Abstract:Purpose: This paper investigates a batch scheduling problem where pre-processing is required for parts before processing, considering time-changing effects from part deterioration and operator learning-forgetting.Design/methodology/approach: A mathematical model was developed with the decision variables of the number of batches, the number of pre-processings, batch sizes, and the schedule of processes and pre-processings to minimize total actual flow time. Different numbers of batches were gradually tried and increased until the objective function stopped improving. The minimum number of pre-processings that resulted in a feasible solution was examined at each number of batches.Findings:Our experiment showed that: (1) A faster operator learning led to a lower optimal number of batches and a lower total actual flow time, (2) A faster part deterioration brought a higher number of batches and a higher total actual flow time, (3) The model minimized the number of pre-processings by only scheduling pre-processings before the operations at machine 1, and (4) The model divided the parts into small batches to prevent increased processing time due to part deterioration.Research limitations: The research did not consider multi-due date and multi-item system which require pre-processings with different times and capacities.Practical implications: Production managers should assign fast learning operators to shorter batches and faster deteriorating parts.Originality/value: This research was the first to consider pre-processing in batch scheduling.
ISSN:2013-8423
2013-0953
DOI:10.3926/jiem.7134
Fonte:ABI/INFORM Global