Modelling food logistics networks with emission considerations: The case of an international beef supply chain

Intrinsic characteristics of food products and processes along with growing sustainability concerns lead to the need for decision support tools that can integrate economic considerations with quality preservation and environmental protection in food supply chains. In this study, we develop a multi-o...

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Bibliographic Details
Published in:International journal of production economics Vol. 152; pp. 57 - 70
Main Authors: Soysal, M., Bloemhof-Ruwaard, J.M., van der Vorst, J.G.A.J.
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 01.06.2014
Elsevier Sequoia S.A
Subjects:
Beef
Carbon dioxide emissions
challenges
Cost engineering
design
Economics
Emissions
Environmental impact
Food logistics management
Foods
green logistics
inventory
life-cycle assessment
Linear programming
Livestock and beef
Logistics
Meat products
Multi-objective linear programming (MOLP)
Networks
operations management
Perishability
programming approach
quality
Studies
Supply chain management
Supply chains
Sustainability
systems
Transportation
Vehicle emissions
Brazil
Perishability
Carbon dioxide emissions
Multi-objective linear programming (MOLP)
Food logistics management
Livestock and beef
Sustainability
ISSN:0925-5273, 1873-7579
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Summary:Intrinsic characteristics of food products and processes along with growing sustainability concerns lead to the need for decision support tools that can integrate economic considerations with quality preservation and environmental protection in food supply chains. In this study, we develop a multi-objective linear programming (MOLP) model for a generic beef logistics network problem. The objectives of the model are (i) minimizing total logistics cost and (ii) minimizing total amount of greenhouse gas emissions from transportation operations. The model is solved with the ε-constraint method. This study breaks away from the literature on logistics network models by simultaneously considering transportation emissions (affected by road structure, vehicle and fuel types, weight loads of vehicles, traveled distances), return hauls and product perishability in a MOLP model. We present computational results and analysis based on an application of the model on a real-life international beef logistics chain operating in Nova Andradina, Mato Grosso do Sul, Brazil and exporting beef to the European Union. Trade-off relationships between multiple objectives are observed by the derived Pareto frontier that presents the cost of being sustainable from the point of reducing transportation emissions. The results from the pie chart analysis indicate the importance of distances between actors in terms of environmental impact. Moreover, sensitivity analysis on practically important parameters shows that export ports' capacities put pressure on the logistics system; decreasing fuel efficiency due to the bad infrastructure has negative effects on cost and emissions; and green tax incentives result in economic and environmental improvement. •We present a model for decision makers who are concerned with logistical network problems of perishable products under emissions consideration.•We consider road structure, vehicle and fuel types, loads, distances and return hauls while integrating emissions into a MOLP model.•We present the applicability of the model in a beef logistics network based on real data, multiple scenarios, and analyses.•The Pareto frontier shows how much cost to bear to reduce emissions to different levels.•Change in fuel efficiency of trucks results in shifts of the Pareto frontier with increase in logistics cost and emissions.
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ISSN:0925-5273
1873-7579
DOI:10.1016/j.ijpe.2013.12.012