Abstract
PT. Manufacture is a well-established manufacturing company specializing in transforming stainless steel sheets into modular household furniture. Despite its long operation history, the company does not have a standard lead time for its production processes. The current lead time set by Production Planning and Inventory Control (PPIC) appears too lenient. This causes to be unable to accept orders, and workers become slower in completing their tasks. Process mining is used to analyze activity log data from the enterprise system, providing an in-depth look at the actual processes and time requirements across divisions. Results show discrepancies between the manual lead times provided by the PPIC and those generated by the Apromore software. The results of this study indicate that the total planned lead time is 24.33 days. Divisionspecific insights reveal varying actual lead times across different processes. For PPIC, no planned lead time was recorded, but the actual lead time was 6.84 days. The Marking division had an actual lead time of only 1.19 days. In the Bending division, the actual lead time was 3.27 days, while in the Assembling division, it was 5.10 days. The Finishing division had a planned lead time of 10 days, but the actual lead time was 5.13 days, resulting in a positive difference of 4.87 days. The Packing division had a planned lead time of 6 days, but the actual lead time was 2.09 days, leading to a positive difference of 3.91 days. For FGRM, no planned lead time was recorded, but the actual lead time was 0.71 days, showing a negative difference of -0.71 days. The research also pointed out a misalignment between standard operating procedures (SOPs) and actual practices, particularly in the approval process. Additionally, specific bottlenecks were identified within the Bending, Assembling, and Finishing divisions.
Original language | English |
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Title of host publication | 2024 International Seminar on Intelligent Technology and Its Applications |
Subtitle of host publication | Collaborative Innovation: A Bridging from Academia to Industry towards Sustainable Strategic Partnership, ISITIA 2024 - Proceeding |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 430-435 |
Number of pages | 6 |
Edition | 2024 |
ISBN (Electronic) | 9798350378573 |
DOIs | |
Publication status | Published - 2024 |
Event | 25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024 - Hybrid, Mataram, Indonesia Duration: 10 Jul 2024 → 12 Jul 2024 |
Conference
Conference | 25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024 |
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Country/Territory | Indonesia |
City | Hybrid, Mataram |
Period | 10/07/24 → 12/07/24 |
Keywords
- ERP
- case studies
- manufacturing efficiency
- process mining