Flowshop Production Scheduling Using the Theory of Constraints Approach: A Case Study in the Leather Glove Industry
- DOI
- 10.2991/978-2-38476-247-7_9How to use a DOI?
- Keywords
- production scheduling; theory of constraints; drum-buffer-rope; zijm algorithm
- Abstract
The smooth flow of production in industries characterized by repetitive make-to-order flowshops is often constrained by workstations with long processing times and limited capacity. This condition frequently results in delays in completing all orders. The goal of this research is to create a production schedule that aligns with the company’s actual capacity using the Theory of Constraints approach and the Drum-Buffer-Rope logic system with the Zijm algorithm. Based on the research findings, it was determined that scheduling using this method effectively addresses constraints that impede production flow by reducing bottlenecks. As a result, the average manufacturing lead time was reduced by approximately 31.25% compared to the company’s previous manufacturing lead time.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Laila Nafisah AU - Puryani Puryani AU - Apriani Soepardi AU - Yudho Jaya Saputro AU - Mochammad Chaeron AU - Sri Suharsih PY - 2024 DA - 2024/09/04 TI - Flowshop Production Scheduling Using the Theory of Constraints Approach: A Case Study in the Leather Glove Industry BT - Proceedings of the 2nd International Conference on Advance Research in Social and Economic Science (ICARSE 2023) PB - Atlantis Press SP - 85 EP - 94 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-247-7_9 DO - 10.2991/978-2-38476-247-7_9 ID - Nafisah2024 ER -