Optimalisasi Proses Operasional Gudang Melalui Storage Assignment Dengan Demand Correlation Pattern Pada Perusahaan Jasa Pergudangan

Rahardian, Surya (2024) Optimalisasi Proses Operasional Gudang Melalui Storage Assignment Dengan Demand Correlation Pattern Pada Perusahaan Jasa Pergudangan. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Jasa manajemen rantai pasok semakin berkembang pesat, termasuk layanan 3PL (Third Party Logistic) yang menyediakan berbagai jasa, salah satunya adalah jasa pergudangan. Gudang menjadi komponen penting sebagai jembatan (buffer) antara proses produksi dan pemasaran untuk menghadapi lonjakan permintaan. Aktivitas gudang terdiri dari receiving, put away & transfer, picking, dan packing. Berdasarkan studi, order picking menjadi aktivitas yang banyak menggunakan tenaga kerja paling banyak dan menanggung biaya paling tinggi hingga 55% dari total biaya operasional gudang karena proses material handling yang tinggi. PT XYZ, perusahaan penyedia jasa pergudangan yang mengelola lebih dari 4000 SKU (Stock Keeping Unit) memiliki tujuan meningkatkan layanan dengan cost se-efisien mungkin. Dalam menjalankan proses bisnisnya, PT XYZ memiliki permasalahan di warehouse occupancy yang tinggi dengan random storage policy. Optimalisasi proses order picking dapat dilakukan dengan meletakkan material pada area yang optimal dari segi jarak untuk meminimalisir material handling. Penyelesaian masalah berfokus pada mereduksi order picking dengan metode Integer Linear Programming untuk alokasi material ke dalam storage yang mengkonsiderasi demand correlation. Metode analisis demand correlation yang digunakan adalah product moment. Alokasi material (Storage assignment) direncanakan menggunakan pemetaan fast moving, moderate moving, dan slow moving. Material fast moving digunakan sistem dedicated layout dan moderate serta slow moving digunakan sistem random layout. Berdasarkan hasil optimasi, terbukti setiap SKU fast moving memiliki korelasi dengan didapatkan layout improvement dapat mengurangi travel distance hingga 89% dari kondisi existing.
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Supply chain management services are rapidly evolving, including Third Party Logistics (3PL) providers that offer a range of services, one of which is warehousing. Warehouses play a crucial role as a bridge (buffer) between production and marketing processes to handle demand surges. Warehouse activities include receiving, put away & transfer, picking, and packing. Studies have shown that order picking is the most labour-intensive activity and incurs the highest costs, up to 55% of total warehouse operational costs, due to intensive material handling. PT XYZ, a warehousing service provider managing over 4,000 Stock Keeping Units (SKUs), aims to enhance service efficiency while minimizing costs. In its business operations, PT XYZ faces challenges with high warehouse occupancy and a random storage policy. Optimizing the order picking process can be achieved by placing materials in optimal locations to minimize material handling. The problem is addressed by reducing order picking costs through Integer Linear Programming for material allocation, considering demand correlation. The demand correlation analysis method used is the product moment. Material allocation (storage assignment) is planned by mapping items into fast moving, moderate moving, and slow-moving categories. Fast moving materials are assigned using a dedicated layout system, while moderate and slow-moving materials use a random layout system. Based on the optimization results, the improved layout was found to reduce travel distance by up to 89% for each fast-moving SKU compared to the existing condition.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Demand Correlation, Integer Linear Programming, Order Picking, Storage Assignment.
Subjects:	T Technology > T Technology (General) > T57.74 Linear programming
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Surya Rahardian
Date Deposited:	04 Aug 2024 16:21
Last Modified:	04 Aug 2024 16:21
URI:	http://repository.its.ac.id/id/eprint/111172

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