Integrasi Inventori Dan Transportasi Multimoda Pada Model Multi-Eselon Supply Chain Dengan Mempertimbangkan Emisi Karbon

Ardliana, Thina (2022) Integrasi Inventori Dan Transportasi Multimoda Pada Model Multi-Eselon Supply Chain Dengan Mempertimbangkan Emisi Karbon. Doctoral thesis, Institut Teknologi Sepuluh Nopember Surabaya.

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Abstract

The effects of global warming that are increasingly threatening the destruction of the earth's ecosystem make many countries must be prepared to deal with it. One of the commitments made is the awareness of reducing carbon emissions. This commitment binds each country or company so that it has a different allowable carbon capacity limit. Companies compete to find the best solution to reduce the carbon emissions produced while minimizing total costs, including optimizing inventory and transportation costs. Transportation is one of the biggest emitters in supply chain activities.
This dissertation solves the integrated supply chain problem by considering multimodal transportation, namely the truck mode (short distance) and the rail mode (long-haul distance). The purpose of this dissertation is to determine the number of product shipments, the amount of carbon emissions, the number of trips that minimize the total cost of system. This dissertation develops two mathematical models in which both models use the Mixed Integer Linear Programming (MILP) solution method. The first model optimizes the total cost consisting of production costs, inventory costs, transportation costs, fixed costs, and carbon emission costs. This first model solves the problems of single product, multi-plants, single initial station, single final station, and multiple customers for several periods. In the process of product delivery from multi-plants, the product will be sent by truck to the initial station then sent to the final station by train and then delivered to the customer by truck. In this study, we have not considered the distance between echelons and some of the limitations that have been considered are the limits of inventory balance, warehouse capacity, truck and train load capacity, carbon cap. The next research is to develop a second model which is a continuation of the first model where the model is more complex than the previous model. The second model considers the integration of production decisions, distances between echelons, material handling and complexity of the initial and final stations. In addition, this second model considers additional costs, such as material handling costs and carbon emissions in material handling acitivity.
The models that have been developed are tested numerically by using numerical data, which will be solved using the Lingo 11, OpenSolver, and Microsoft Excel 365. The mumerical test results in this dissertation show that the total system costs and decision variables obtained are optimal results. In addition, two models produced can minimize the total cost of system as well as reducing the carbon emissions in each of its supply chain activities. The sensitivity analysis is carried out on the parameter of demand, carbon emission limits, distances, and carbon taxes to determine the relationship with decision variables. The results show that these parameters affect the decision variables, the amount of carbon emissions produced, and the total cost of each supply chain activity. Sensitivity analysis shows that costs and emissions are significantly affected by changes in demand, carbon cap, carbon taxes imposed by the government, and distance between plants and customers. It is certainly interesting to see that the logistics costs far outweigh the emissions costs. This could mean that decisions in the supply chain are governed more by logistics costs than by the goal of reducing emissions.

Item Type:	Thesis (Doctoral)
Uncontrolled Keywords:	Keywords: Supply chain system, multimodal, multi-echelon, mixed integer programming, carbon emission, long haul transportation, Supply chain system, multimodal, multi-echelon, mixed integer programming, carbon emission, long haul transportation.
Subjects:	T Technology > TS Manufactures > TS167 Costs, Industrial
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26001-(S3) PhD Thesis
Depositing User:	Thina Ardliana
Date Deposited:	11 Feb 2022 05:58
Last Modified:	28 Aug 2024 05:58
URI:	http://repository.its.ac.id/id/eprint/93816

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