CO₂ Calculations of Complex Supply Chain Networks

Structured collection of emission data based on the SCOR model

Dieter Uckelmann ORCID Icon, Johannes Tonio Alt, Isabel Andujo
JournalIndustrie 4.0 Management
Issue Volume 35, 2019, Edition 6, Pages 16-20
Open Accesshttps://doi.org/10.30844/I40M_19-6_S12-16
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Abstract

As a result of the progressively climate change, the environmental impact of corporate activities is becoming the focus of internal and external shareholders. At the same time more complex supply chain networks are being developed in the industry. The majority of the processes involved in a supply chain network are executed by globally spread partners. This trend makes it difficult to quantify the impact of individual corporate-level activities on the overall ecological performance of the supply chain. The following document evaluates the scope of application on the SCOR model for a structured range of data emissions from global supply chains, based on a detailed literature research.

Keywords

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Bibliography

[1] Herzig, C.; Schaltegger, S.: Nachhaltigkeit in der Unternehmensberichterstattung. Gründe – Probleme – Lösungsansätze; Diskussionspapier zum Fachdialog des Bundesumweltministeriums (BMU) am 13. November 2003, Berlin. Lüneburg 2004.
[2] Bickhoff, N.: Quintessenz des strategischen Managements. Was Sie wirklich wissen müssen, um im Wettbewerb zu überleben. Berlin Heidelberg 2009.
[3] APICS: Supply Chain Operations Reference (SCOR) model. URL: www.apics.org/apics-for-business/frameworks/scor, Abrufdatum 08.05.2019.
[4] Bolstorff, P. A.; Rosenbaum, R. G.; Poluha, R. G.: Spitzen- leistungen im Supply Chain Management. Ein Praxishandbuch zur Optimierung mit SCOR, 1. Aufl. Berlin Heidelberg New York 2007.
[5] D ́heur, M.: CSR und Value Chain Management. Profitables Wachstum durch nachhaltige gemeinsame Wertschöpfung. Berlin 2014.
[6] APICS: Supply Chain Operation Reference Model Version 12.0. Chicago 2017.
[7] Cash, R.; Wilkerson, T.: GreenSCOR: Developing a Green Supply Chain Analytical Tool. McLean, USA 2003.
[8] Greenhouse Gas Protocol: Overview of GHG Protocol scopes and emissions across the value chain. URL: https://ghgprotocol.org/sites/default/files/standards_supporting/Diagram%20of%20scopes%20and%20emissions%20across%20the%20value%20chain.pdf, Abrufdatum 18.05.2019.
[9] Supply Chain Council: Supply Chain Operation Reference (SCOR) model. Overview – Version 10.0. Cypress, USA 2010.
[10] KPMG: Handbuch zur Nachhaltigkeitsberichterstattung. URL: https://assets.kpmg/content/dam/kpmg/pdf/2014/06/handbuch-nachhaltigkeitsbericherstattung.pdf, Abrufdatum 18.05.2019.
[11] GRI: Konsolidierter Satz der GRI-Standards für die Nachhaltigkeitsberichterstattung. Amsterdam 2016.
[12] Gabriel, A.: Freiwillige Veröffentlichung und Prüfung von GRI-Nachhaltigkeitsberichten. Eine empirische Analyse auf dem europäischen Kapitalmarkt. Wiesbaden 2015.
[13] IHK Nürnberg: Lexikon der Nachhaltigkeit. Drei Säulen Modell. URL: www.nachhaltigkeit.info/artikel/1_3_a_ drei_saeulen_modell_1531.html, Abrufdatum 14.06.2019.
[14] WBCDS, WRI: The greenhouse gas protocol. A corporate accounting and reporting standard, Rev. ed. Washington, DC, Conches-Geneva 2004.
[15] United States Environmental Protection Agency: Under- standing Global Warming Potentials. URL: www.epa.gov/ghgemissions/understanding-global-warming-potentials, Abrufdatum 14.06.2019.
[16] Global Reporting Initiative: GRI 305: Emissions 2016. Background. URL: www.globalreporting.org/standards/grstandards-download-center/gri-305-emissions-2016, Abrufdatum 19.05.2019.
[17] Schmied, M.; Knörr, W.: Berechnung von Treibhausgasemissionen in Spedition und Logistik. Bonn 2013.
[18] Supply Chain Council: Supply Chain Operation Reference Model Version 9.0. USA 2008.
[19] WWF, CDP: Unternehmerisches Klimamanagement entlang der Wertschöpfungskette – eine Sammlung guter Praxis. 2016. URL: https://www.globalcompact.de/wAssets/ docs/Umweltschutz/Publikationen/gute-praxis-sammlung_klimamanagement.pdf, Abrufdatum 23.09.2019.
[20] Uckelmann, D.; Bogenreuther, T.; Bräutigam, I.: Grüne IT für eine grüne Logistik – Umweltorientierter Einsatz von Informationstechnologien für eine nachhaltige Logistik. Digitalen Wandel gestalten. Wiesbaden 2019. S. 141-150.

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