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Trends in operational research approaches for sustainability. (English) Zbl 1384.00069

From the text: In this special issue, we compile cutting-edge research on mathematical modelling and solution methods to assist policy and decision-makers in the pathway of constructing a sustainable society. We hope to incentivize a broader group of researchers to make outstanding contributions to achieve an equitable and sustainable society. This special issue brings new theory and applications of different operations research (OR) and management sciences (MS) techniques and methodologies in the domain of sustainability, and at the same time identifies challenges and opportunities for future research. With regard to OR/MS, we focus on scientific approaches to support decision-making in complex systems.

MSC:

00B15 Collections of articles of miscellaneous specific interest
90-06 Proceedings, conferences, collections, etc. pertaining to operations research and mathematical programming
90B50 Management decision making, including multiple objectives
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References:

[1] Altay, N.; Green, W. G., OR/MS research in disaster operations management, European Journal of Operational Research, 175, 1, 475-493 (2006) · Zbl 1137.90574
[2] Linton, J.; Klassen, R.; Jayaraman, V., Sustainable supply chains: An introduction, Journal of Operations Management, 25, 6, 1075-1082 (2007)
[3] Székely, F.; Knirsch, M., Responsible leadership and corporate social responsibility: Metrics for sustainable performance, European Management Journal, 23, 6, 628-647 (2005)
[4] Tang, C. S.; Zhou, S., Research advances in environmentally and socially sustainable operations, European Journal of Operational Research, 223, 3, 585-594 (2012)
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.