Evaluation Of Standard Production Planning Leadtime In Manufacturing Company With Process Mining

Saputri, Nimas Alfiana Raras (2024) Evaluation Of Standard Production Planning Leadtime In Manufacturing Company With Process Mining. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

PT. Manufacture specializes in transforming stainless steel sheets into modular household furniture. Despite its long history, the company lacks a standard lead time for production processes. The current lead time set by Production Planning and Inventory Control (PPIC) is too lenient, causing delays in order acceptance and slower task completion. Process mining analyzes activity log data, revealing the actual processes and time requirements across divisions. Results show significant differences between planned lead times and those according to Apromore. For example, the Marking division's planned lead time is 6 days, while Apromore's is 1.19 days, a difference of 4.81 days. Overall, the planned total lead time is 38 days, whereas Apromore's is 24.33 days, reducing by 13.67 days. Some divisions, like PPIC and FGRM, have longer lead times in Apromore. Major bottlenecks are identified in the Bending, Assembling, and Finishing divisions, each taking over five days to complete. The typical process route involves PPIC creating a WO, planning, and getting approval from the Co-SPV, followed by DN approvals also handled by the Co-SPV. This ensures both planning and DN are typically approved by the Co-SPV, who is more frequently present in the field. The SPV handles administrative tasks and meetings in the morning, and the Operational Manager steps in for approvals only when neither the SPV nor the Co-SPV is available. This approach ensures efficient and timely approvals, aligning with operational requirements and personnel availability.
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PT. Manufacture mengkhususkan diri dalam mengubah lembaran stainless steel menjadi furnitur rumah modular. Meskipun memiliki sejarah panjang, perusahaan ini tidak memiliki lead time standar untuk proses produksinya. Lead time saat ini yang ditetapkan oleh Production Planning and Inventory Control (PPIC) terlalu longgar, menyebabkan keterlambatan dalam penerimaan pesanan dan penyelesaian tugas yang lebih lambat. Process mining digunakan untuk menganalisis data log aktivitas, mengungkapkan proses dan kebutuhan waktu yang sebenarnya di seluruh divisi. Hasilnya menunjukkan perbedaan signifikan antara lead time yang direncanakan dan yang sesuai dengan Apromore. Misalnya, lead time yang direncanakan untuk divisi Marking adalah 6 hari, sedangkan menurut Apromore hanya 1,19 hari, dengan perbedaan sebesar 4,81 hari. Secara keseluruhan, total lead time yang direncanakan adalah 38 hari, sedangkan menurut Apromore adalah 24,33 hari, mengurangi 13,67 hari. Beberapa divisi, seperti PPIC dan FGRM, memiliki lead time yang lebih panjang menurut Apromore. Bottleneck utama diidentifikasi di divisi Bending, Assembling, dan Finishing, masing-masing memerlukan lebih dari lima hari untuk diselesaikan. Rute proses yang umum melibatkan PPIC membuat WO, merencanakan, dan mendapatkan persetujuan dari Co-SPV, diikuti oleh persetujuan DN yang juga ditangani oleh Co-SPV. Hal ini memastikan bahwa baik perencanaan maupun DN biasanya disetujui oleh Co-SPV, yang lebih sering hadir di lapangan. SPV menangani tugas administratif dan pertemuan di pagi hari, dan Operational Manager hanya mengambil alih persetujuan ketika baik SPV maupun Co-SPV tidak tersedia. Pendekatan ini memastikan persetujuan dilakukan secara efisien dan tepat waktu, sesuai dengan kebutuhan operasional dan ketersediaan personel.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Process Mining, Production Planning, Manufacturing Efficiency, Modeling Process, Event Logs, Perencanaan Produksi, Efisiensi Manufaktur, Permodelan Proses, Event Logs
Subjects:	T Technology > T Technology (General) > T57.5 Data Processing
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT)
Depositing User:	Nimas Alfiana Raras Saputri
Date Deposited:	22 Jul 2024 01:06
Last Modified:	20 Nov 2024 08:50
URI:	http://repository.its.ac.id/id/eprint/108572

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