Advances in Best-Worst Method : Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023) / edited by Jafar Rezaei, Matteo Brunelli, Majid Mohammadi
(Lecture Notes in Operations Research. ISSN:27310418)
| Publisher | (Cham : Springer Nature Switzerland : Imprint: Springer) |
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| Year | 2023 |
| Edition | 1st ed. 2023. |
| Authors | Rezaei, Jafar editor Brunelli, Matteo editor Mohammadi, Majid editor SpringerLink (Online service) |
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| Links to the text | Location | Volume | Call No. | Barcode No. | Status | Comments | ISBN | Printed | Restriction | Reserve |
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| Links to the text | Library Off-campus access |
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OB00194803 | Springer Business and Management eBooks (電子ブック) | 9783031403286 |
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| Material Type | E-Book |
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| Media type | 機械可読データファイル |
| Size | X, 247 p. 46 illus., 42 illus. in color : online resource |
| Notes | Probabilistic group decision-making using BWT -- Robust stakeholder-based group-decision making framework: the Multi-Actor Multi-Criteria Analysis (MAMCA) with the integration of Best-Worst Method (BWM) -- A consistent and consensual best-worst method and its application to salespersons’ performance evaluation problem -- Which Prioritization Method is Better for Deriving Priority from Best-Worst Preferences? A Theoretical and Experimental Analysis -- A hesitant multiplicative best-worst method for multiple criteria decision making -- Industry 4.0 and green entrepreneurship for environmental sustainability: Exploring barriers from an Indian SME Perspective -- Supplier selection for the oil industry using a combined BWM & F-VIKOR, case study: National Iranian South Oil Company -- Assessing smartness of an automotive industry: Importance-Performance Analysis -- Determining the criterion weights for the selection of volunteers in humanitarian organizations by the Best-Worst Method -- Emergency service quality assessment using SERVQUAL and BWM -- Avalanche risk analysis by a combined Geographic Information System and Bayesian Best-Worst Method -- Snow Avalanche Hazard Prediction Using the Best-Worst Method – Case Study: the Šar Mountains, Serbia -- Assessment of renewable energy development strategies with BWM-Grey TOPSIS This proceedings book contains selected papers from the Fourth International Workshop on Best-Worst Method (BWM2023), held in Delft, the Netherlands, from 8 to 9 June 2023. It presents recent advancements in theory and applications of the Best-Worst Method (BWM). It provides valuable insights on why and how to use BWM in a diverse set of applications including health, energy, supply chain management, and engineering. The book highlights the use of BWM in different settings including single decision-making vs group decision-making, full information vs incomplete and uncertain situations. Academics and practitioners who are involved in multi-criteria decision-making and decision analysis benefit from the papers published in this book HTTP:URL=https://doi.org/10.1007/978-3-031-40328-6 |
| Subjects | LCSH:Operations research LCSH:Management science LCSH:Production management LCSH:Mathematical optimization FREE:Operations Research and Decision Theory FREE:Operations Research, Management Science FREE:Operations Management FREE:Optimization |
| Classification | LCC:T57.6-.97 DC23:658.403 |
| ID | 8000093950 |
| ISBN | 9783031403286 |
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