Maulana, Muhammad Revanza (2023) Model Integer Linear Programming Untuk Kebijakan Pembelian Livebird Di Rumah Potong Ayam Dengan Tujuan Minimasi Biaya (Studi Kasus: PT X). Other thesis, Institut Teknologi Sepuluh Nopember.
Text
02411940000131-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 October 2025. Download (4MB) | Request a copy |
Abstract
Rumah Potong Ayam (RPA) merupakan salah satu unit bisnis di PT X yang mengolah livebird menjadi potongan daging ayam (finished goods) sesuai permintaan konsumen. Salah satu permasalahan RPA adalah jumlah excess karkas yang banyak sekitar 80% dari kapasitas gudang. Excess tersebut berasal dari karkas yang tidak diproses menjadi finished goods karena jenis ukurannya tidak sesuai dengan spesifikasi. Ukuran karkas tersebut dipengaruhi ukuran livebird yang dibeli. Setiap ukuran livebird memiliki probabilitas masing-masing untuk menjadi jenis ukuran karkas tertentu sehingga perlu kombinasi pembelian livebird yang tepat untuk menghasilkan excess seminimal mungkin. Banyaknya jumlah excess mengindikasikan inefisiensi biaya sehingga terjadi tren penurunan keuntungan di RPA PT X dalam tiga tahun terakhir. Oleh karena itu, diperlukan kebijakan pembelian livebird yang tepat sehingga dapat meminimasi jumlah excess dan biaya pembelian livebird. Permasalahan tersebut dimodelkan menggunakan Integer Linear Programming (ILP) dengan mengakomodasi variabel-variabel yang mempengaruhi seperti probabilitas sebaran livebird, yield, demand finished goods, lot size, harga livebird, kapasitas truk, kapasitas gudang, dan kapasitas supplier. Penelitian ini menghasilkan keputusan pembelian livebird yang mampu mengurangi excess sebesar 33%. Model yang dikembangkan juga dapat mengakomodasi relasi dengan supplier untuk memastikan pembelian livebird dari semua supplier. Selain itu, dari hasil analisis sensitivitas diperoleh bahwa harga livebird merupakan parameter yang paling sensitif terhadap variabel keputusan dan total biaya.
===============================================================================================================================
Chicken Slaughterhouse (RPA) is one of the business units in PT X. The RPA business is processing livebird become finished goods (chicken meat cuts) according to consumer demand. One of the issues in RPA is there are a lot of excess carcasses which amount to around 80% of the warehouse capacity. The excess comes from carcasses that are not processed into finished goods because the type of size does not match the specifications. The size of the carcass is affected by livebird size which be purchased. Every size of livebird each has a probability of being a certain type of carcass size so the appropriate combination of livebird purchasing policy is needed to minimize the amount of excess. High amount of excess indicates cost inefficiency at RPA PT X. Therefore, the appropriate livebird purchasing policy is needed to minimize the amount excess and optimize the cost incurred on RPA for purchasing livebird. The problem is solved using Integer Linear Programming (ILP) method by accommodating influencing variables such as probability distribution livebird, yield, demand finished goods, lot size, livebird price, truck capacity, warehouse capacity, and supplier capacity. This research resulted in livebird purchasing policy which can reduce excess by 33%. Models which are developed can also accommodate relations for ensure to always buy livebird of all suppliers. In addition, from the results of the sensitivity analysis obtained that the price livebird is the most sensitive parameter to the decision variable and total cost.
Item Type: | Thesis (Other) |
---|---|
Uncontrolled Keywords: | Rumah Potongan Ayam, Livebird, Integer Linear Programming, Total Biaya, Kebijakan Pembelian, Chicken Slaughterhouse, Total Cost, Purchasing Policy |
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: | Muhammad Revanza Maulana |
Date Deposited: | 24 Aug 2023 03:17 |
Last Modified: | 24 Aug 2023 03:17 |
URI: | http://repository.its.ac.id/id/eprint/103037 |
Actions (login required)
View Item |