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    <language>eng</language>
    <pageFirst>177</pageFirst>
    <pageLast>191</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>99</volume>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
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    <title language="eng">Greenhouse gas reduction in transport: analyzing the carbon dioxide performance of different freight forwarder networks</title>
    <abstract language="eng">There are growing concerns in the food industry about how supply chains can be managed in a more sustainable way. When distribution activities are outsourced to a logistics service provider (LSP), shippers need to evaluate the LSPs they may (potentially) engage in order to ensure that supply chain sustainability goals are met. In this paper, we present a methodology for LSP evaluation and focus on the ecological dimension of sustainability. We examine how the network carbon footprint of a real-world distribution system is affected by the LSP network that is chosen to forward goods from production facilities to customers. To do this, we analyze the shipment data of an existing Fast Moving Consumer Goods (FMCG) manufacturer. A quantitative distribution network model is set up to study the network carbon footprint of 125 scenarios. Real-world shipments are forwarded via five generic, idealized types of LSP networks. In total, 625 network carbon footprints, specified by three distribution logistics variables and the structure of the LSP network, have been calculated. The results show that LSP structures practicing a geographically decentralized consolidation of shipments are most efficient in reducing of greenhouse gas (GHG) emissions. Furthermore, the effects of changing the manufacturer's and the LSP's strategies for deciding on the tonnage to be forwarded via the LSP network or moved by direct transports are quantified. Finally, we estimate the GHG effect of improving the capacity utilization of the vehicles that move the products.</abstract>
    <parentTitle language="eng">Journal of Cleaner Production</parentTitle>
    <identifier type="doi">10.1016/j.jclepro.2015.03.026</identifier>
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    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Florian Kellner</author>
    <author>Johannes Igl</author>
    <collection role="institutes" number="FakBW">Fakultät Business and Management</collection>
    <collection role="othpublikationsherkunft" number="">Externe Publikationen</collection>
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    <collection role="persons" number="kellnerfbm">Kellner, Florian (Prof. Dr.) - FBM</collection>
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  <doc>
    <id>8230</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>409</pageFirst>
    <pageLast>434</pageLast>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>53</volume>
    <type>article</type>
    <publisherName>Taylor &amp; Francis</publisherName>
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    <belongsToBibliography>0</belongsToBibliography>
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    <title language="eng">Integrating three-dimensional sustainability in distribution centre selection: the process analysis method-based analytic network process</title>
    <abstract language="eng">In this paper, we propose a combined methodology for the selection of distribution centres (DCs) by integrating and balancing economic, environmental and social sustainability aspects. The analytic network process (ANP) permits to systematically evaluate possible DCs on the basis of a situation-specific decision structure. A systematic development of the decision networks, which is one of the core challenges using the ANP, is supported by the process analysis method which we extend for that purpose. The validity and soundness of the proposed framework are demonstrated by means of a case study. The case study results reveal that omitting aspects of sustainability can lead to unfortunate results.</abstract>
    <parentTitle language="eng">International Journal of Production Research</parentTitle>
    <identifier type="doi">10.1080/00207543.2014.939241</identifier>
    <enrichment key="opus.import.date">2025-06-04T20:26:41+00:00</enrichment>
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    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Claudia Neumüller</author>
    <author>Florian Kellner</author>
    <author>Jatinder N.D. Gupta</author>
    <author>Rainer Lasch</author>
    <collection role="institutes" number="FakBW">Fakultät Business and Management</collection>
    <collection role="othpublikationsherkunft" number="">Externe Publikationen</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
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  <doc>
    <id>8678</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
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    <type>conferencesummary</type>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">Analyzing the greenhouse gas sensitivity of distribution networks</title>
    <parentTitle language="eng">Global Cleaner Production and Sustainable Consumption Conference // November 2015, Sitges/Barcelona</parentTitle>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <author>Florian Kellner</author>
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    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
    <collection role="persons" number="kellnerfbm">Kellner, Florian (Prof. Dr.) - FBM</collection>
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