Achieving Sustainability in Food Supply Chains: an Industry Case Comparison

Arijit De; G. M.  Muhammad; Barbara Tocco; Matthew Gorton

doi:10.1109/IEEM62345.2024.10857197

Achieving Sustainability in Food Supply Chains: an Industry Case Comparison

Arijit De, G. M. Muhammad, Barbara Tocco, Matthew Gorton

Management Sciences

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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Abstract

This research presents a comprehensive study optimizing transportation logistics in the food industry, emphasizing efficiency and sustainability. A mathematical model is developed to minimize total transportation costs, considering fixed and fuel costs. Two scenarios are explored: baseline and cooperating, the latter involving collaborative logistics efforts. Analysis reveals the cooperating scenario reduces transportation costs by 7.4% and improves vehicle utilization rates to 89.7%. Extensive validation confirms the model's reliability. Sensitivity analyses demonstrate its adaptability to varying parameters. The study provides a conceptual framework, validated model, and comparative analysis to aid decision-makers in the industry. It addresses the crucial balance between cost optimization and environmental impact. Future research can build on these insights to refine transportation strategies and promote sustainability.

Original language	English
Title of host publication	IEEE Conference on Industrial Engineering and Engineering Management
Publisher	IEEE
Number of pages	5
DOIs	https://doi.org/10.1109/IEEM62345.2024.10857197
Publication status	Published - 4 Feb 2025

Keywords

Carbon Emissions
Food Supply Chains
Mixed Integer Linear Programming Model
Sustainability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IEEM62345.2024.10857197

IEEM Conference - Final FileAccepted author manuscript, 52.4 KBLicence: CC BY

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title = "Achieving Sustainability in Food Supply Chains: an Industry Case Comparison",

abstract = "This research presents a comprehensive study optimizing transportation logistics in the food industry, emphasizing efficiency and sustainability. A mathematical model is developed to minimize total transportation costs, considering fixed and fuel costs. Two scenarios are explored: baseline and cooperating, the latter involving collaborative logistics efforts. Analysis reveals the cooperating scenario reduces transportation costs by 7.4\% and improves vehicle utilization rates to 89.7\%. Extensive validation confirms the model's reliability. Sensitivity analyses demonstrate its adaptability to varying parameters. The study provides a conceptual framework, validated model, and comparative analysis to aid decision-makers in the industry. It addresses the crucial balance between cost optimization and environmental impact. Future research can build on these insights to refine transportation strategies and promote sustainability.",

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N2 - This research presents a comprehensive study optimizing transportation logistics in the food industry, emphasizing efficiency and sustainability. A mathematical model is developed to minimize total transportation costs, considering fixed and fuel costs. Two scenarios are explored: baseline and cooperating, the latter involving collaborative logistics efforts. Analysis reveals the cooperating scenario reduces transportation costs by 7.4% and improves vehicle utilization rates to 89.7%. Extensive validation confirms the model's reliability. Sensitivity analyses demonstrate its adaptability to varying parameters. The study provides a conceptual framework, validated model, and comparative analysis to aid decision-makers in the industry. It addresses the crucial balance between cost optimization and environmental impact. Future research can build on these insights to refine transportation strategies and promote sustainability.

AB - This research presents a comprehensive study optimizing transportation logistics in the food industry, emphasizing efficiency and sustainability. A mathematical model is developed to minimize total transportation costs, considering fixed and fuel costs. Two scenarios are explored: baseline and cooperating, the latter involving collaborative logistics efforts. Analysis reveals the cooperating scenario reduces transportation costs by 7.4% and improves vehicle utilization rates to 89.7%. Extensive validation confirms the model's reliability. Sensitivity analyses demonstrate its adaptability to varying parameters. The study provides a conceptual framework, validated model, and comparative analysis to aid decision-makers in the industry. It addresses the crucial balance between cost optimization and environmental impact. Future research can build on these insights to refine transportation strategies and promote sustainability.

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KW - Food Supply Chains

KW - Mixed Integer Linear Programming Model

KW - Sustainability

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M3 - Conference contribution

BT - IEEE Conference on Industrial Engineering and Engineering Management

PB - IEEE

ER -

Achieving Sustainability in Food Supply Chains: an Industry Case Comparison

Abstract

Keywords

UN SDGs

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