
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Decision support for collaboration planning in sustainable supply chains

handle: 10227/511364
Abstract Organizations have to deal with increasing challenges in their supply chains. Their decision makers brought to balance economic performance with environmental and social issues. Methods and concepts for jointly optimizing economic, environmental and social cost of operations in supply chains are challenging. Decision support systems could help organizations to support sustainability in their supply chains. A collaborative decision-making framework for sustainable supply chain planning is proposed in this paper. This framework facilitates the development of multi-party collaborative relationships across a network to improve the sustainability of delivered products. It supports a new Information and Communication Technology (ICT) system platform. The platform provides insight for infrastructure and visibility to support supply chain sustainability requirements. The proposed decision support system proposes simultaneously collaboration and sustainability functionalities missing in many existing supply chain planning systems. This system has been evaluated and validated through a pilot program across a range of food supply networks. The work is motivated and applied by a major European research program in the agri-food supply chain.
- Liaoning Technical University China (People's Republic of)
- Artois University France
- University of Helsinki Finland
- Worcester Polytechnic Institute United States
- Hanken School of Economics Finland
1 - Self archived, https://helda.helsinki.fi/dhanken/handle/10227/511364, [SPI] Engineering Sciences [physics], 1- Publicerad utomlands, [SPI]Engineering Sciences [physics], AoHP: Humanitarian and societal logistics, 512 Business and Management, SDG 2 - Zero Hunger, ta512, Decision support system, PREM2019_08, Supply chain planning, 0- Ingen affiliation med ett företag, Collaboration, 1- Minst en av författarna har en utländsk affiliation, Sustainability, KOTA2019, 0 - Not open access, SDG 12 - Responsible Consumption and Production
1 - Self archived, https://helda.helsinki.fi/dhanken/handle/10227/511364, [SPI] Engineering Sciences [physics], 1- Publicerad utomlands, [SPI]Engineering Sciences [physics], AoHP: Humanitarian and societal logistics, 512 Business and Management, SDG 2 - Zero Hunger, ta512, Decision support system, PREM2019_08, Supply chain planning, 0- Ingen affiliation med ett företag, Collaboration, 1- Minst en av författarna har en utländsk affiliation, Sustainability, KOTA2019, 0 - Not open access, SDG 12 - Responsible Consumption and Production
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).152 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
