This thesis aims to assess the environmental sustainability within supply chains by integrating Life Cycle Assessment (LCA), Green supply chain management (SCM), and simulation techniques. The research proposes a comprehensive methodology for assessing the environmental performance of products, focusing on a case study of the cereal supply chain. The methodology involves conducting a detailed LCA from cradle to gate and measuring transportation-related CO2 emissions using simulation and GIS modules in FlexSim. The study addresses the need for accessible LCA practices by leveraging extensive LCI databases, making environmental impact assessments feasible for businesses with limited resources. By analysing various stages of the supply chain, the methodology identifies high-impact areas and suggests improvements through alternative sourcing and transportation scenarios. The practical application of the methodology demonstrated significant potential for reducing CO2 emissions and informed decision-making. The thesis fills existing gaps in the literature by providing a practical, case-based analysis and highlights opportunities for future research to include economic and social sustainability factors. This integrated approach offers a robust framework for businesses to make data-driven decisions aimed at improving overall supply chain sustainability.
Questa tesi mira a valutare la sostenibilità ambientale all'interno delle catene di approvvigionamento integrando la Valutazione del Ciclo di Vita (LCA), la gestione della catena di fornitura verde (GSCM) e le tecniche di simulazione. La ricerca propone una metodologia completa per valutare le prestazioni ambientali dei prodotti, concentrandosi su uno studio di caso della catena di approvvigionamento dei cereali. La metodologia prevede la realizzazione di una LCA dettagliata dal punto di vista cradle to gate e la misurazione delle emissioni di CO2 legate al trasporto utilizzando moduli di simulazione e GIS in FlexSim. Lo studio affronta la necessità di pratiche LCA accessibili sfruttando ampi database LCI, rendendo le valutazioni dell'impatto ambientale fattibili per le aziende con risorse limitate. Analizzando le varie fasi della catena di approvvigionamento, la metodologia identifica le aree ad alto impatto e suggerisce miglioramenti attraverso scenari alternativi di approvvigionamento e trasporto. L'applicazione pratica della metodologia ha dimostrato un notevole potenziale di riduzione delle emissioni di CO2 e ha informato il processo decisionale. La tesi colma le lacune esistenti nella letteratura fornendo un'analisi pratica basata su casi e evidenzia le opportunità di ricerca futura per includere fattori di sostenibilità economica e sociale. Questo approccio integrato offre un quadro robusto per le aziende per prendere decisioni basate sui dati mirate a migliorare la sostenibilità complessiva della catena di approvvigionamento.
Assessing Supply Chain Environmental Performance: A Proposed Method based on Life Cycle Assessment (LCA) & Dynamic Simulation
Pasha, Ibrahim Siraj
2023/2024
Abstract
This thesis aims to assess the environmental sustainability within supply chains by integrating Life Cycle Assessment (LCA), Green supply chain management (SCM), and simulation techniques. The research proposes a comprehensive methodology for assessing the environmental performance of products, focusing on a case study of the cereal supply chain. The methodology involves conducting a detailed LCA from cradle to gate and measuring transportation-related CO2 emissions using simulation and GIS modules in FlexSim. The study addresses the need for accessible LCA practices by leveraging extensive LCI databases, making environmental impact assessments feasible for businesses with limited resources. By analysing various stages of the supply chain, the methodology identifies high-impact areas and suggests improvements through alternative sourcing and transportation scenarios. The practical application of the methodology demonstrated significant potential for reducing CO2 emissions and informed decision-making. The thesis fills existing gaps in the literature by providing a practical, case-based analysis and highlights opportunities for future research to include economic and social sustainability factors. This integrated approach offers a robust framework for businesses to make data-driven decisions aimed at improving overall supply chain sustainability.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/222152