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Multidimensional Analysis of Supply Chain Environmental Performance

Multidimensional Analysis of Supply Chain Environmental Performance

Antti Sirkka, Marko Junkkari
Copyright: © 2013 |Pages: 19
ISBN13: 9781466626256|ISBN10: 1466626259|EISBN13: 9781466626751
DOI: 10.4018/978-1-4666-2625-6.ch051
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MLA

Sirkka, Antti, and Marko Junkkari. "Multidimensional Analysis of Supply Chain Environmental Performance." Supply Chain Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 860-878. https://doi.org/10.4018/978-1-4666-2625-6.ch051

APA

Sirkka, A. & Junkkari, M. (2013). Multidimensional Analysis of Supply Chain Environmental Performance. In I. Management Association (Ed.), Supply Chain Management: Concepts, Methodologies, Tools, and Applications (pp. 860-878). IGI Global. https://doi.org/10.4018/978-1-4666-2625-6.ch051

Chicago

Sirkka, Antti, and Marko Junkkari. "Multidimensional Analysis of Supply Chain Environmental Performance." In Supply Chain Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 860-878. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2625-6.ch051

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Abstract

Monitoring the environmental performance of a product is recognized to be increasingly important. The most common method of measuring the environmental performance is the international standards of Life Cycle Assessment (LCA). Typically, measuring is based on estimations and average values at product category level. In this chapter, the authors present a framework for measuring environmental impact at the item level. Using Traceability Graph, emissions and resources can be monitored from the data management perspective. The model can be mapped to any precision level of physical tracing. At the most precise level, even a single physical object and its components can be analyzed. This, of course, demands that the related objects and their components are identified and mapped to the database. From the opposite perspective, the authors’ model also supports rough level analysis of products and their histories. In terms of the Traceability Cube, multidimensional analysis can be applied for traceability data.

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