A multi-objective stochastic model for biomass supply chain planning with economic and carbon footprint consideration

Name: Pasakorn Meejaroen

keyword: Supply chain management

; ε-constraint method

; Facility location problem

; Fuzzy theory

Abstract: This paper focuses on designing a multi-objective biomass supply chain planning model for energy generation that aims to simultaneously minimize total cost and minimize carbon footprint from transportation. Stochastics model and fuzzy model are developed to making strategic decisions (optimal factory locations) along with tactical decisions (material flows, truck types, etc.) while capturing the uncertainty from demand. After that, sensitivity analysis is further conducted to compare the results from two models. The managerial insights are provided based on the real data from North of Thailand. The stochastic model can take into account all kinds of levels of demand hence the demand at a high level could be satisfied 100% while the fuzzy model is not. Finally, we found the conflict between two objectives from both models. The results show that when the alpha equal to 1 which considers only the total cost objective, the total costs from both models are similar, however, the stochastics model provides the carbon emission value very lower than the fuzzy model. The fuzzy model decides to open only 2 factories, but the stochastic model decides to open 3 factories

Thammasat University. Thammasat University Library

Address: BANGKOK

Email: preserv@tu.ac.th

Name: Narameth Nananukul

Role: advisor

Created: 2020

Modified: 2023-02-14

Issued: 2023-02-14

วิทยานิพนธ์/Thesis

application/pdf

DOI: 10.14457/TU.the.2020.1042

eng

DegreeName: Master of Engineering

Level: Master's Degree

Descipline: Logistics and Supply Chain Systems Engineering

Grantor: Thammasat University

©copyrights Thammasat University

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