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Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 410554
Title QChain - integrating social, environmental and economic value: a tool to support innovation in production chains
Author(s) Kassahun, A.; Chatenier, E. du; Bots, P.W.G.; Hofstede, Gert Jan; Bloemhof, J.M.; Scholten, H.; Korver, S.; Beulens, A.J.M.
Source Journal on Chain and Network Science 11 (2011)2. - ISSN 1569-1829 - p. 167 - 176.
Department(s) Information Technology
Operations Research and Logistics
Publication type Refereed Article in a scientific journal
Publication year 2011
Abstract Today's consumers increasingly demand products that are produced sustainably and ethically. As a result, businesses need to address sustainability and social responsibility issues and find a proper balance between people, planet and profit (PPP) aspects of their production chains. Software tools can play an important role in mapping out the current state of PPP aspects along the production chain, and in the design and evaluation of improvement options. There are indeed many tools that are claimed to be useful for sustainability and social responsibility considerations. Yet, a tool that addresses all three aspects of value creation holistically and facilitates discussion is missing. In this paper we present the development of such a tool, called QChain. The development of this tool was based on ideas from soft systems methodology and inputs from a multidisciplinary team of experts and managers. The tool is intended to support group discussions, particularly during the early stages of innovation processes aimed at improving PPP aspects of production chains. It enables users to visualize the essential elements of the current production chain showing the current PPP values, and explore and compare possible future production chain scenarios and the corresponding PPP values. QChain's visualization helps discussants get a rich appreciation of the current and future scenarios, while the semi-quantitative 'what-if' analysis and scenario comparison enables them to hold objective discussions
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