Optimasi Model Desain Sistem Penyimpanan Rak dan Tata Letak Gudang Produk Plastik Berbasis Class Based Storage

Maryantika, Vidya (2017) Optimasi Model Desain Sistem Penyimpanan Rak dan Tata Letak Gudang Produk Plastik Berbasis Class Based Storage. Sarjana thesis, Universitas Brawijaya.

Abstract

PT Berlina Tbk Pandaan merupakan perusahaan manufaktur yang memproduksi kemasan plastik. Berdasarkan data jumlah stok akhir bulan tahun 2016, jumlah stok akhir melebihi kapasitas produk yang dapat ditampung oleh gudang dengan persentase lebih terbesar 54.09% dan terkecil 22.76%. Produk berlebih disimpan oleh perusahaan di gudang sewa. Permasalahan lainnya adalah pemilihan kebijakan penempatan oleh gudang kurang efektif, yaitu random policy sesuai dengan tersedianya rak kosong. Produk yang disimpan dalam gudang pada tahun 2016 berjumlah 670 jenis produk. Penerapan kebijakan penempatan produk saat ini dapat mengakibatkan kesalahan pengambilan batch produk yang seharusnya dikirim. Kurangnya kapasitas gudang dan tingginya biaya sewa gudang membuat perusahan mengambil keputusan untuk membangun gudang produk jadi baru. Banyaknya jenis produk dan keputusan membuat gudang baru mempengaruhi racking system memerlukan perhitungan jumlah rak optimal. Metode yang digunakan adalah pemodelan matematis dengan konsep dynamic programming dan penempatan produk menggunakan kebijakan class based storage. Pemodelan matematis diperlukan untuk mengetahui jumlah lanes rak optimal masing-masing jenis rak untuk menyimpan produk dengan memperhatikan production rate, demand rate, production time, cycle time, dan safety stock. Rak yang digunakan adalah jenis selective racks dan drive-thru racks. Kebijakan penempatan produk yang digunakan adalah class based storage dengan membagi kelompok FG dan WIP ke dalam masing-masing segmentasi pada perancangan tata letak gudang racking baru untuk memudahkan penempatan dan pengambilan produk. Berdasarkan perhitungan dengan pemodelan matematika didapatkan jumlah rak drive-thru sebesar 540 lanes dan 796 lanes jenis selective racks. Solusi yang dihasilkan memberikan utilisasi volumetric drive-thru racks 71.50% dan selective racks 64.60%. Perancangan tata letak gudang menghasilkan alternatif penempatan produk class based storage across aisle dengan jarak material handling 1616.68 meter lebih rendah dibandingkan class based storage within aisle sebesar 1662.58 meter. Lanes dan tinggi unit loads yang berbeda-beda untuk mencapai performansi gudang, volumetric utilization dan storage efficiency, dicapai dengan menggabungkannya ke dalam model matematis. Penerapan kebijakan penempatan class based storage untuk segmentasi produk meningkatkan fleksibilitas penggunaan alamat rak setiap produk dan memudahkan aktivitas penempatan, pengambilan, dan pemisahan antar segmentasi.

English Abstract

PT Berlina Tbk Pandaan is a manufacturing company that produces plastic packaging. Based on the data end-of-year stock amount of 2016, the final stock amount exceeded the capacity of the product that can be accommodated by warehouse with the largest percentage of 54.09% and the smallest is 22.76%. The excess products are kept by the company in the rental warehouse. Another problem is less effective in selecting storage policy in the warehouse, random policy accordance to the availability of empty racks. The amount of products storing in the warehouse in 2016 are 670 types of product. Implementation of storage policy may result batch product error that should be shipped. The lack of warehouse capacity and the high cost of the warehouse renting makes the company take decision to build a new finished goods warehouse. Multiple products and decisions to create new warehouses affect the racking system require calculating the optimal number of racks. The method used in this research were mathematical modelling with dynamic programming concept and storage policy using class based storage. Mathematical modeling is needed to find the optimal number of rack lanes of each rack type to store the product with respect to production rate, demand rate, production time, cycle time, and safety stock. The type racks used are selective racks and drive-thru racks. The product storage policy used is class based storage by dividing the FG and WIP groups into each segmentation on the design of new racking warehouse layout to facilitate storage and retrieval activities of the product. Based on calculation with mathematical modelling, the number of drive-thru racks is 540 lanes and 796 lanes for selective racks type. The resulting solution provides the utilization of volumetric drive-thru racks by 71.50% and selective racks by 64.60%. The warehouse layout design provides an alternative class based storage across aisle with material handling distance 1616.68 meters lower than class based storage within aisle of 1662.58 meters. Different lanes and unit loads heights to achieve warehouse performance, volumetric utilization and storage efficiency, should be jointly into mathematical modelling. Implementation of class based storage classification policy for product segmentation increases the flexibility using each product's racks address and facilitates the activity of storage, retrieval, and segregation between segmentations.

Item Type: Thesis (Sarjana)
Identification Number: SKR/FT/2017/708/051707301
Uncontrolled Keywords: optimization model, racking system, storage capacity, warehousing, volumetric storage efficiency, class based storage policy.
Subjects: 600 Technology (Applied sciences) > 670 Manufacturing > 670.4 Special topics of manufacturing > 670.42 Factory operations engineering
Divisions: Fakultas Teknik > Teknik Industri
Depositing User: Budi Wahyono Wahyono
Date Deposited: 25 Aug 2017 06:18
Last Modified: 28 Nov 2020 07:41
URI: http://repository.ub.ac.id/id/eprint/1686
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