About the impact of rising oil price on logistics networks and transportation greenhouse gas emission
Tóm tắt
Logistics networks need to handle globally growing transportation volumes in cost efficient and sustainable configurations. This research explores the impact of the oil price on the optimal degree of centralization of logistics networks through the fluctuation of transportation costs. The impact of the degree of centralization on greenhouse gas emissions of transportation is evaluated. Investigations are conducted by means of a model consisting of logistics network, logistics costs, carbon dioxide emissions and an empirically determined relationship of oil price, fuel price and transportation costs. First, the dependency of transportation costs in European road transports from oil prices is derived. Then, the optimal configuration of the logistics network is determined for a range of oil prices. Sensitivity analysis on the value of traded goods is performed. Results show an existing dependency of the European logistics network structure limited to oil prices above 150 USD/barrel. Dependency on the oil price increases for high-value goods compared to low-valued goods. Carbon dioxide emissions diminish with lower centralization degree, as an effect of lower total transport distance.
Tài liệu tham khảo
Gross W, Hayden C (2010) Oil price impact on logistics network structure—a model-based approach. In: Cunha G-G, Landau L, Bruzzone A, Saetta S (eds) The international workshop on applied modeling & simulation, May 5–7, Rio de Janeiro, 2010, pp 190–195
European Commission (EC) (2010) EU energy and transport in figures, statistical pocketbook
European Commission (EC) Directorate-General for Energy (2011) Registration of crude oil imports and deliveries in the European Union (EU27). http://ec.europa.eu/energy/observatory/oil/doc/import/coi/eu-coi-2010-01-08.pdf. Accessed 11 Apr 2011
Butz C, Gross W, Hayden C, Zesch F (2010) Der Einfluss des Ölpreises auf Distributionsnetzwerke von Industrie und Handel. Ein Mythos wird entzaubert, 4flow AG, Berlin
Kaufmann RK, Laskowski C (2005) Causes for an asymmetric relation between the price of crude oil and refined petroleum products. Energy Policy 33:1587–1596
US Energy Information Administration (USEIA) (2011) Monthly U.S. crude oil imported acquisition cost by refiners. http://tonto.eia.doe.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=r1300____3&f=m. Accessed 10 Mar 2011
Gronwald M (2009) Zur empirischen Analyse des Ölpreises. Ein Überblick über aktuelle Forschungsergebnisse, ifo Schnelldienst 62(1):16–19
Hamilton JD (2009) Understanding crude oil prices. Energy J Int Assoc Energy Econ 30(2):179–206
Gudehus T (2005) Logistik. Springer, Berlin
Ballou RH (2007) The evolution and future of logistics and supply chain management. Eur Bus Rev 19(4):332–348
Goepfert I (2004) Einführung, Abgrenzung und Erweiterung des supply chain managements. In: Busch A (ed) Integriertes supply chain management: Theorie und Praxis effektiver unternehmensübergreifender Geschäftsprozesse, Gabler, Wiesbaden
Weber J (2008) Überlegungen zu einer theoretischen Fundierung der Logistik in der Betriebswirtschaftslehre. In: Nyhuis P (ed) Beiträge zu einer Theorie der Logistik. Springer, Berlin
van Hoek RI (1999) From reversed logistics to green supply chains. Supply Chain Manag An Int J 4(3):129–135
Rodrigue JP, Slack B, Comtois C (2001) Green logistics. In: Brewer AM, Button KJ, Hensher DA (eds) Handbook of logistics and supply-chain. Pergamon, London, 1st edn., repr., pp 339–350
Murphy PR, Poist RF (2003) Green perspectives and practices. Supply Chain Manag An Int J 8(2):122–131
Hamilton JD (2009) Causes and consequences of the oil shock of 2007–2008. Brookings Pap Econ Act 1:215–284
Roeger W (2005) International oil price changes: impact of oil prices on growth and inflation in the EU/OECD. Int Econ Econ Policy 2:15–32
Bachmeier L, Griffin J (2003) New evidence on asymmetric gasoline price responses. Rev Econ Stat 85:772–776
Bettendorf L, Van der Geest S, Varkevisser M (2003) Price asymmetry in the Dutch retail gasoline market. Energy Econ 25:175–190
Honarvar A (2009) Theoretical explanations for asymmetric relationships between gasoline and crude oil prices with focus on the US market. OPEC Energy Rev 33(3–4):205–224
Radchenko S (2005) Oil price volatility and the asymmetric response of gasoline prices to oil price increases and decreases. Energy Econ 27(5):708–730
Amiri A (2006) Designing a distribution network in a supply chain system: formulation and efficient solution procedure. Eur J Oper Res 171:567–576
Elhedhli S, Goffin J-L (2005) Efficient production-distribution system design. Manag Sci 51:1151–1164
Eskigun E, Uzsoy ER, Preckel PV, Beaujon G, Krishnan S, Tew JD (2005) Outbound supply chain network design with mode selection, lead times and capacitated vehicle distribution centers. Eur J Oper Res 165:182–206
Jayaraman V, Ross A (2003) A simulated annealing methodology to distribution network design and management. Eur J Oper Res 144:629–645
Klose A, Drexl A (2005) Facility location models for distribution system design. Eur J Oper Res 162:4–29
Meepetchdee Y, Shah N (2007) Logistical network design with robustness and complexity considerations. Int J Phys Distrib Logist Manag 37:202–222
Melkote S, Daskin MS (2001) An integrated model of facility location and transportation network design. Transp Res Part A Policy Pract 35(6):515–538
Gosier R, Simchi-Levi D, Wright J, Bentz BA (2008) Past the tipping point. Record oil prices require new supply chain strategies to enable future high performance. http://www.accenture.com. Accessed 11 Apr 2011
Cidell J (2010) Concentration and decentralization: the new geography of freight distribution in US metropolitan areas. J Transp Geogr 18(3):363–371
Simchi-Levi D, Nelson D, Mulani N (2008) Crude calculations: why high oil prices are upending the way companies should manage their supply chains. Wall Str J, Eastern edn, New York, NY, USA. September 22, 2008, p R.8
Andreoli D, Goodchild A, Vitasek K (2010) The rise of mega distribution centers and the impact on logistical uncertainty. Transp Lett Int J Transp Res 2:75–88
Paksoy T, Özceylan E, Weber G-W (2010) A multi objective model for optimization of a green supply chain network. In: Third global conference on power control and optimization, 2–4 February. Gold Coast, Australia
Wang F, Lai X, Shi N (2010) A multi-objective optimization for green supply chain network design. Decis Support Syst 51(2):262–269
Stolletz R, Stolletz L (2008) Linearisierungsverfahren für Standortplanungsprobleme mit nichtlinearen Transportkosten. Zeitschrift für Planung & Unternehmenssteuerung 19(3):261–280
HBEFA (2004) Handbuch Emissionsfaktoren des Straßenverkehrs 2.1, INFRAS im Auftrag des Bundesamtes für Umwelt, Wald und Landschaft Bern, des Umweltbundesamtes Berlin, des österreichischen Bundesministeriums für Land- und Forstwirtschaft, Umwelt und Wasserwirtschaft, des Bundesministeriums für Verkehr, Innovation und Technologie und des Umweltbundesamts Wien
4flow AG (2010) 4flow vista: white paper. Planning and design of logistics networks
Eurostat (2009) Regional gross domestic product (million EUR), by NUTS 2 regions. http://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&init=1&language=en&pcode=tgs00003&plugin=1. Accessed 13 Mar 2010
Heintze A (2008) Der Diesel Schock. Logistik inside 7(9):50