A methodology for assessing eco-efficiency in logistics networks

Recent literature on sustainable logistics networks points to two important questions: (i) How to spot the preferred solution(s) balancing environmental and business concerns? (ii) How to improve the understanding of the trade-offs between these two dimensions? We posit that a visual exploration of...

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Vydáno v:	European journal of operational research Ročník 193; číslo 3; s. 670 - 682
Hlavní autoři:	Quariguasi Frota Neto, J., Walther, G., Bloemhof, J., van Nunen, J.A.E.E., Spengler, T.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 16.03.2009 Elsevier Elsevier Sequoia S.A
Edice:	European Journal of Operational Research
Témata:	approximation Closed-loop supply chains curves data envelopment analysis design Eco-efficiency Eco-efficiency Sustainable supply chains Closed-loop supply chains Multi-objective programming Optimization Environmental impact Heuristic Linear programming Logistics management Multi-objective programming Optimization Profitability Studies Sustainability management Sustainable supply chains Germany Multi-objective programming Sustainable supply chains Eco-efficiency Closed-loop supply chains Optimization
ISSN:	0377-2217, 1872-6860
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Abstract	Recent literature on sustainable logistics networks points to two important questions: (i) How to spot the preferred solution(s) balancing environmental and business concerns? (ii) How to improve the understanding of the trade-offs between these two dimensions? We posit that a visual exploration of the efficient frontier and trade-offs between profitability and environmental impacts are particularly suitable to answer these two questions. The visual representation of the efficient frontier, however, presents two challenges. The first is to obtain a good approximation for such frontier without enumerating all extreme efficient solutions. The second is to obtain a good visual representation of the efficient frontier. We propose a two-phased heuristic to handle these two problems. The algorithm is designed for the multi-objective linear problem with three objectives: minimize costs, cumulative energy demand and waste in a reverse logistics network. We illustrate our approach by designing a complex recycling logistics network in Germany.
AbstractList	Recent literature on sustainable logistics networks points to two important questions: (i) How to spot the preferred solution(s) balancing environmental and business concerns? (ii) How to improve the understanding of the trade-offs between these two dimensions? We posit that a visual exploration of the efficient frontier and trade-offs between profitability and environmental impacts are particularly suitable to answer these two questions. The visual representation of the efficient frontier, however, presents two challenges. The first is to obtain a good approximation for such frontier without enumerating all extreme efficient solutions. The second is to obtain a good visual representation of the efficient frontier. We propose a two-phased heuristic to handle these two problems. The algorithm is designed for the multi-objective linear problem with three objectives: minimize costs, cumulative energy demand and waste in a reverse logistics network. We illustrate our approach by designing a complex recycling logistics network in Germany. Recent literature on sustainable logistics networks points to two important questions: (i) How to spot the preferred solution(s) balancing environmental and business concerns? (ii) How to improve the understanding of the trade-offs between these two dimensions? We posit that a visual exploration of the efficient frontier and trade-offs between profitability and environmental impacts are particularly suitable to answer these two questions. The visual representation of the efficient frontier, however, presents two challenges. The first is to obtain a good approximation for such frontier without enumerating all extreme efficient solutions. The second is to obtain a good visual representation of the efficient frontier. We propose a two-phased heuristic to handle these two problems. The algorithm is designed for the multi-objective linear problem with three objectives: minimize costs, cumulative energy demand and waste in a reverse logistics network. We illustrate our approach by designing a complex recycling logistics network in Germany Recent literature on sustainable logistics networks points to two important questions: (i) How to spot the preferred solution(s) balancing environmental and business concerns? (ii) How to improve the understanding of the trade-offs between these two dimensions? We posit that a visual exploration of the efficient frontier and trade-offs between profitability and environmental impacts are particularly suitable to answer these two questions. The visual representation of the efficient frontier, however, presents two challenges. The first is to obtain a good approximation for such frontier without enumerating all extreme efficient solutions. The second is to obtain a good visual representation of the efficient frontier. We propose a two-phased heuristic to handle these two problems. The algorithm is designed for the multi-objective linear problem with three objectives: minimize costs, cumulative energy demand and waste in a reverse logistics network. We illustrate our approach by designing a complex recycling logistics network in Germany. [PUBLICATION ABSTRACT]
Author	Spengler, T. Bloemhof, J. Quariguasi Frota Neto, J. van Nunen, J.A.E.E. Walther, G.
Author_xml	– sequence: 1 givenname: J. surname: Quariguasi Frota Neto fullname: Quariguasi Frota Neto, J. email: jquariguasi@rsm.nl organization: Rotterdam School of Management (RSM), Erasmus University, P.O. Box 1738, 300DR, Rotterdam, The Netherlands – sequence: 2 givenname: G. surname: Walther fullname: Walther, G. organization: Braunschweig Technical University, Institute for Economics and Business Administration, Germany – sequence: 3 givenname: J. surname: Bloemhof fullname: Bloemhof, J. organization: Rotterdam School of Management (RSM), Erasmus University, P.O. Box 1738, 300DR, Rotterdam, The Netherlands – sequence: 4 givenname: J.A.E.E. surname: van Nunen fullname: van Nunen, J.A.E.E. organization: Rotterdam School of Management (RSM), Erasmus University, P.O. Box 1738, 300DR, Rotterdam, The Netherlands – sequence: 5 givenname: T. surname: Spengler fullname: Spengler, T. organization: Braunschweig Technical University, Institute for Economics and Business Administration, Germany
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Snippet	Recent literature on sustainable logistics networks points to two important questions: (i) How to spot the preferred solution(s) balancing environmental and...
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SubjectTerms	approximation Closed-loop supply chains curves data envelopment analysis design Eco-efficiency Eco-efficiency Sustainable supply chains Closed-loop supply chains Multi-objective programming Optimization Environmental impact Heuristic Linear programming Logistics management Multi-objective programming Optimization Profitability Studies Sustainability management Sustainable supply chains
Title	A methodology for assessing eco-efficiency in logistics networks
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