Model Optimasi Rantai Pasok Susu Sapi Segar untuk Mereduksi Emisi Karbon dan Food Waste

Jeremi, Nofariza Aulia (2023) Model Optimasi Rantai Pasok Susu Sapi Segar untuk Mereduksi Emisi Karbon dan Food Waste. Masters thesis, Institut Teknologi Sepuluh Nopember.

Text 6010202004-Master_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 April 2025. Download (3MB) | Request a copy

Abstract

Industri makanan dan minuman menduduki posisi penting di Indonesia dengan pertumbuhan positif dalam 5 (lima) tahun rata-rata 8,16%. Pertumbuhan ini positif bagi perekonomian, tetapi di sisi lain merupakan ancaman bagi lingkungan. Dengan permintaan makanan yang semakin tinggi, tentu akan bertambah food waste dan emisi karbon sebagai dampak kegiatan rantai pasokan makanan (Food Supply Chain/FSC). Penelitian tesis ini mengangkat sebuah kasus rantai pasokan pengolahan produk susu di wilayah Jawa Barat dengan multi pemasok susu (KUD Susu), pabrik produksi pengolahan tunggal, multi distributor, dan multi ritel konsumen dengan kondisi model multi-echelon, multi periode, dan multi produk yang ramah lingkungan dengan memperhatikan limbah makanan (food waste) dan emisi karbon sebagai fungsi tujuan model. Dalam menyelesaikan masalah tersebut, digunakan metode Mixed Integer Linear Programming (MILP) dalam memodelkan proses rantai pasokan untuk mengoptimalkan total biaya/TC, total food waste/TFW, dan total emisi karbon/TCE. Hasil penyelesaian penelitian menunjukkan total biaya sebesar Rp18,036,770,000, total food waste/TFW sebesar 21,734 liter, dan total emisi karbon/TCE sebesar 109,526 lt.CO2-eq. Hasil uji sensitivitas diketahui bahwa variabel suhu dan demand merupakan variabel yang sangat berpengaruh, dan kenaikannya berbanding lurus dengan kenaikan fungsi tujuan yaitu total biaya/TC, total food waste/TFW, dan total emisi karbon/TCE.
=======================================================================================================================================
The food and beverage industry occupies an important position in Indonesia, with positive growth in five years, an average of 8.16%. This growth is positive for the economy, but on the other hand, it is a threat to the environment. With the higher demand for food, there will be an increase in food waste and carbon emissions due to food supply chain (FSC) activities. This thesis research raises a case of a dairy product processing supply chain in the West Java region with multiple milk suppliers (KUD Susu), a single processing production plant, multi distributors, and multi-consumer retail under conditions of a multi-echelon, multi-period, and multi-product model. Environmentally friendly by taking into account food waste and carbon emissions as the model's objective function. In solving this problem, the Mixed Integer Linear Programming (MILP) method is used in modeling supply chain processes to optimize total cost/TC, total food waste/TFW, and total carbon emissions/TCE. The results of completing the research showed a total cost of IDR 18,036,770,000, a total food waste/TFW of 21,734 liters, and a total carbon emission/TCE of 109,526 lt.CO2-eq. The sensitivity test results showed that temperature and demand variables are very influential variables, and their increase is directly proportional to the increase in the objective function, namely total cost/TC, total food waste/TFW, and total carbon emission/TCE.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Rantai Pasokan Makanan, Produk Susu, Mixed Integer Linear Programming (MILP), Food waste, Emisi Karbon
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP T Technology > T Technology (General) > T57.74 Linear programming
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	Nofariza Aulia Jeremi
Date Deposited:	02 Feb 2023 03:39
Last Modified:	02 Feb 2023 03:39
URI:	http://repository.its.ac.id/id/eprint/95979

Actions (login required)

View Item