Sustainable operations modeling and data analytics
This editorial introduces the unique attributes of this special issue in the era of climate change, modern slavery, and big data. This special issue envisages the depth of penetration of sustainability, from strategy to the operations level, to understand the extent to which sustainability has attra...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2018
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| Online Access: | https://eprints.nottingham.ac.uk/48896/ |
| _version_ | 1848797873021386752 |
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| author | Gunasekaran, Angappa Subramanian, Nachiappan |
| author_facet | Gunasekaran, Angappa Subramanian, Nachiappan |
| author_sort | Gunasekaran, Angappa |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This editorial introduces the unique attributes of this special issue in the era of climate change, modern slavery, and big data. This special issue envisages the depth of penetration of sustainability, from strategy to the operations level, to understand the extent to which sustainability has attracted researchers and practitioners in dealing with various facets of operations management. Overall, it is encouraging to notice the research developments in all facets of operations management except process type, layout type, forecasting, and queuing. Out of three sustainability dimensions, this special issue received substantial contributions on economic and environmental aspects. All the contributions had at least two sustainability components in their decision models as well as newer analytical solutions. At the end, this piece outlines future research challenges and potential research opportunities. |
| first_indexed | 2025-11-14T20:10:47Z |
| format | Article |
| id | nottingham-48896 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:10:47Z |
| publishDate | 2018 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-488962020-10-04T04:30:11Z https://eprints.nottingham.ac.uk/48896/ Sustainable operations modeling and data analytics Gunasekaran, Angappa Subramanian, Nachiappan This editorial introduces the unique attributes of this special issue in the era of climate change, modern slavery, and big data. This special issue envisages the depth of penetration of sustainability, from strategy to the operations level, to understand the extent to which sustainability has attracted researchers and practitioners in dealing with various facets of operations management. Overall, it is encouraging to notice the research developments in all facets of operations management except process type, layout type, forecasting, and queuing. Out of three sustainability dimensions, this special issue received substantial contributions on economic and environmental aspects. All the contributions had at least two sustainability components in their decision models as well as newer analytical solutions. At the end, this piece outlines future research challenges and potential research opportunities. Elsevier 2018-01 Article PeerReviewed application/pdf en cc_by_nc_nd https://eprints.nottingham.ac.uk/48896/1/COR%20SI%20-%20Editorial%20-%20Final.pdf Gunasekaran, Angappa and Subramanian, Nachiappan (2018) Sustainable operations modeling and data analytics. Computers & Operations Research, 89 . pp. 163-167. ISSN 1873-765X Sustainable operations; Decision model; Analytics https://www.sciencedirect.com/science/article/pii/S0305054817302320 doi:10.1016/j.cor.2017.09.009 doi:10.1016/j.cor.2017.09.009 |
| spellingShingle | Sustainable operations; Decision model; Analytics Gunasekaran, Angappa Subramanian, Nachiappan Sustainable operations modeling and data analytics |
| title | Sustainable operations modeling and data analytics |
| title_full | Sustainable operations modeling and data analytics |
| title_fullStr | Sustainable operations modeling and data analytics |
| title_full_unstemmed | Sustainable operations modeling and data analytics |
| title_short | Sustainable operations modeling and data analytics |
| title_sort | sustainable operations modeling and data analytics |
| topic | Sustainable operations; Decision model; Analytics |
| url | https://eprints.nottingham.ac.uk/48896/ https://eprints.nottingham.ac.uk/48896/ https://eprints.nottingham.ac.uk/48896/ |