Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/26340
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dc.contributor.authorGhosh, D.-
dc.contributor.authorKhanra, A.-
dc.contributor.authorVanamalla, S. V.-
dc.contributor.authorHamid, F.-
dc.contributor.authorSengupta, R. N.-
dc.date.accessioned2023-04-13T10:01:35Z-
dc.date.available2023-04-13T10:01:35Z-
dc.date.issued2022-
dc.identifier.citationGhosh, D., Khanra, A., Vanamalla, S. V., Hamid, F., & Sengupta, R. N. (Eds.) (2022). Studies in quantitative decision making. Springer.en_US
dc.identifier.issn2522-5162-
dc.identifier.urihttp://hdl.handle.net/11718/26340-
dc.description.abstractThis edited volume is an in-depth collation of the usage of different quantitative decision making techniques in practical areas such as lean & green supply chain, reverse logistics, perishable logistics, closed loop supply chain, sustainable project management, retail management, block chain applications, optimal supplier selection problem, demand/supply modelling, forecasting under uncertainties, scheduling & sequencing, resource constraint logistics, dynamic network supply chain, risk evaluation, and so on. Additionally, the book also solves these issues in theoretical and practical context using innovative mathematical tools. Consisting of selected papers from the 23rd Annual International Conference of the Society of Operations Management, this book's highlight is not only the coverage of interesting topics, but also how these topics are dealt with, such that post-graduate students as well as researchers and industry personnel working in areas like engineering, economics, social sciences, management, mathematics, etc., can derive the maximum benefit by reading or referring to this book. Apart from the emphasis on new mathematical, operations research, operations management, and statistical techniques, the authors also ensure that all the concepts are made clear by highlighting their practical significance in different areas of applications of operations management. By using novel presentation methods, the book offers a good practical flavor of all the different topics relevant to operations management in the coming decades.en_US
dc.language.isoenen_US
dc.publisherSpringer Singaporeen_US
dc.subjectMathematical modellingen_US
dc.subjectUncertainty modellingen_US
dc.subjectMetaheuristicsen_US
dc.subjectData envelopment analysisen_US
dc.titleStudies in quantitative decision making.en_US
dc.typeBooken_US
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