Order Allocation Problem untuk Bahan Baku Menggunakan Mixed Integer Linear Programming dan Simulasi

Wibowo, Ary Tri (2020) Order Allocation Problem untuk Bahan Baku Menggunakan Mixed Integer Linear Programming dan Simulasi. Masters thesis, Institut Teknologi Sepuluh Nopember.

[img] Text
02411850077016-Master_Thesis.pdf - Accepted Version
Restricted to Repository staff only

Download (4MB) | Request a copy

Abstract

Persaingan industri semen dalam negeri semakin kompetitif. Penambahan jumlah pemain dari 9 menjadi 15 pemain di tahun 2018 menyebabkan kelebihan pasokan semen secara nasional. Hal ini menuntut industri semen harus meningkatkan competitive advantage agar mampu bersaing. Fokus perbaikan proses bisnis sepanjang supply chain mampu membantu perusahaan meningkatkan efisiensi untuk meraih competitive advantage. Pemilihan pemasok dan alokasi order adalah aspek dalam supply chain yang memberikan peluang untuk pengurangan biaya dan peningkatan daya saing. PT X selaku pemain industri semen dengan visi sebagai perusahaan paling efisien di Asia Tenggara memiliki ribuan pemasok. Dari sejumlah pemasok tersebut, pembelian bahan baku memiliki proporsi terbesar kedua sebesar 29,16% dalam belanja perusahaan. Saat ini, strategi sourcing yang diterapkan oleh PT X dalam pembelian bahan baku adalah multiple dedicated suppliers. Kendala berupa adanya variasi kualitas dan keterlambatan jumlah pengiriman bahan baku dari pemasok berpotensi menyebabkan biaya pembuatan semen tidak efisien dan tidak optimal. Dalam penelitian ini dibuat simulasi monte carlo atas kualitas dan tingkat keterlambatan pengiriman bahan baku dari pemasok. Hasil simulasi tersebut menjadi nilai pada parameter di pengembangan model Mixed Integer Linear Programming guna menentukan alokasi order bahan baku (multi products) ke tiap pemasok (multi suppliers) dengan menggunakan moda transportasi tertentu (multi carriers) di periode tertentu (multi periods). Dari tiga skenario yang dibuat, skenario 2 menunjukkan total cost yang lebih baik dibandingkan skenario dasar dan skenario 1. Ada peluang potensi penghematan sebesar 2,56% sampai dengan 2,70% jika PT X menerapkan skenario 2. Implikasi manajerial jika PT X menerapkan skenario 2 adalah perlu dipertimbangkan risiko pasokan berupa supply shortage yang mungkin saja bisa terjadi. ======================================================================= The domestic cement industry competition is increasingly more intense. A number of players have grown from 9 to 15 players along 2018. Increasing of this number has caused over supply in domestic market. This situation requires cement industy to escalate their competitive advantage. Focus of business process improvement on supply chain helps company to achieve competitive advantage. Supplier selection and order allocation are crucial steps in supply chain which provides opportunity to cost reduction and improve competitiveness. PT X is one of the cement player in regional market. The company has vision to become the most efficient cement manufacturer in South East Asia. PT X has thousand of suppliers to fulfill its needs. Raw material purchasing is the second largest expense (29,16%) in the company. Currently, PT X’s raw material order sourcing strategy is to purchase to its multiple dedicated suppliers. Raw material quality variance and late delivery level from those suppliers are the obstacles that cause inefficient cost of cement production. In this research, monte carlo simulation has developed to imitate raw material quality variance and late delivery level suppliers’ behaviour. The result of the simulation becomes inputs to Mixed Integer Linear Programming model. This development model aims to determine raw material order allocation (multi products) to each suppliers (multi suppliers) which using different carriers mode (multi carriers) in every period (multi periods). Three scenarios have been made. The result shows that scenario 2 provides better total cost instead of basic scenario and scenario 1. It has potential cost saving around 2,56% to 2,70% if the company apply scenario 2. The managerial implication of this scenario is that PT X needs to consider the supply risk such as supply shortage.

Item Type: Thesis (Masters)
Uncontrolled Keywords: order allocation, linear programming, supply chain management, simulation, alokasi order, linear programming, manajemen rantai pasok, simulasi
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
H Social Sciences > HD Industries. Land use. Labor > HD30.23 Decision making. Business requirements analysis.
H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP
H Social Sciences > HD Industries. Land use. Labor > HD39.5 Industrial procurement.
T Technology > T Technology (General) > T57.62 Simulation
Divisions: Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User: Ary Tri Wibowo
Date Deposited: 19 Aug 2020 12:11
Last Modified: 19 Aug 2020 12:11
URI: https://repository.its.ac.id/id/eprint/79495

Actions (login required)

View Item View Item