Advances in Best-Worst Method: Proceedings of the Third International Workshop on Best-Worst Method (BWM2022) PDF
Preview Advances in Best-Worst Method: Proceedings of the Third International Workshop on Best-Worst Method (BWM2022)
Lecture Notes in Operations Research Jafar Rezaei Matteo Brunelli Majid Mohammadi Editors Advances in Best-Worst Method Proceedings of the Third International Workshop on Best-Worst Method (BWM2022) Lecture Notes in Operations Research Editorial Board Members Ana Paula Barbosa-Povoa, University of Lisbon, Lisboa, Portugal Adiel Teixeira de Almeida , Federal University of Pernambuco, Recife, Brazil Noah Gans, The Wharton School, University of Pennsylvania, Philadelphia, USA Jatinder N. D. Gupta, University of Alabama in Huntsville, Huntsville, USA GregoryR.Heim,MaysBusinessSchool,TexasA&MUniversity,CollegeStation, USA Guowei Hua, Beijing Jiaotong University, Beijing, China Alf Kimms, University of Duisburg-Essen, Duisburg, Germany Xiang Li, Beijing University of Chemical Technology, Beijing, China Hatem Masri, University of Bahrain, Sakhir, Bahrain Stefan Nickel, Karlsruhe Institute of Technology, Karlsruhe, Germany Robin Qiu, Pennsylvania State University, Malvern, USA Ravi Shankar, Indian Institute of Technology, New Delhi, India Roman Slowiński, Poznań University of Technology, Poznan, Poland Christopher S. Tang, Anderson School, University of California Los Angeles, Los Angeles, USA Yuzhe Wu, Zhejiang University, Hangzhou, China JoeZhu,FoisieBusinessSchool,WorcesterPolytechnicInstitute,Worcester,USA Constantin Zopounidis, Technical University of Crete, Chania, Greece Lecture Notes in Operations Research is an interdisciplinary book series which provides a platform for the cutting-edge research and developments in both operationsresearchandoperationsmanagement field. Thepurviewofthisseriesis global, encompassing all nations and areas of the world. It comprises for instance, mathematical optimization, mathematical modeling, statistical analysis, queueing theory and other stochastic-process models, Markov decision processes, econometric methods, data envelopment analysis, decision analysis, supply chain management, transportation logistics, process design, operations strategy, facilities planning, production planning and inventory control. LNOR publishes edited conference proceedings, contributed volumes that present firsthand information on the latest research results and pioneering innovations as well as new perspectives on classical fields. The target audience of LNOR consists of students, researchers as well as industry professionals. More information about this series at https://link.springer.com/bookseries/16741 Jafar Rezaei Matteo Brunelli (cid:129) (cid:129) Majid Mohammadi Editors Advances in Best-Worst Method Proceedings of the Third International Workshop on Best-Worst Method (BWM2022) 123 Editors Jafar Rezaei Matteo Brunelli Technology,Policy andManagement Department ofIndustrial Engineering Delft University of Technology University of Trento Delft, TheNetherlands Trento, Italy Majid Mohammadi Vrije Universiteit Amsterdam (VU Amsterdam) Amsterdam, TheNetherlands ISSN 2731-040X ISSN 2731-0418 (electronic) Lecture Notesin OperationsResearch ISBN978-3-031-24815-3 ISBN978-3-031-24816-0 (eBook) https://doi.org/10.1007/978-3-031-24816-0 ©TheEditor(s)(ifapplicable)andTheAuthor(s),underexclusivelicense toSpringerNatureSwitzerlandAG2023 Thisworkissubjecttocopyright.AllrightsaresolelyandexclusivelylicensedbythePublisher,whether thewholeorpartofthematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseof illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmissionorinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilar ordissimilarmethodologynowknownorhereafterdeveloped. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfrom therelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. The publisher, the authors, and the editorsare safeto assume that the adviceand informationin this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained hereinorforanyerrorsoromissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregard tojurisdictionalclaimsinpublishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface This book contains the proceedings of BWM2022, The Third International Workshop on Best-Worst Method. The workshop, hosted by Delft University of Technology, was organized hybrid on two days June 09 and 10, 2022. BWM2022 aims to bring together researchers working on theoretical, methodological, and application studies on the Best-Worst Method, a multi-criteria decision-making methodthatwasdevelopedin2015andthatsincethenhasgainedalotofattention among researchers and practitioners from many different fields. Researchers can share their latest findings with their peers and discuss avenues for future research. Four lectures were given on the foundations of BWM on the morning of the first day, and fourteen high-quality papers were accepted for presentation which were presented in eight sessions in two days chaired by the experts on different areas including supply chain management, health, energy, manufacturing, and entrepreneurship as well as methodological advancement. This book contains thirteenfullpapers.Thefirsttwopublishedpapersprovidetwoliteraturereviewson the applications of the BWM in health, followed by four methodological contri- butions, and the other papers present applications of the BWM in different fields. We are very grateful to the authors for submitting their work and for having interactive discussions during the workshop. We also express our gratitude to the members ofthescientific committee for reviewingthefull papers.All papers were reviewed by at least two members of the scientific committee using single-blind peer-review process, and we did not use external reviewers. Reviewers evaluated thepapersbasedonrelevance,originality,rigorofthedatacollectionandanalysis, and presentation of the study. We are also grateful to Delft University of Technology for providing the infrastructure and to Springer for publishing the proceedings. June 2022 Jafar Rezaei Matteo Brunelli Majid Mohammadi v Organization Scientific Committee Jafar Rezaei (Chair) DelftUniversityofTechnology,TheNetherlands Matteo Brunelli University of Trento, Italy Majid Mohammadi Vrije Universiteit Amsterdam, The Netherlands Fuqi Liang Shenzhen University, China Joseph Sarkis Worcester Polytechnic Institute, USA Salvatore Greco University of Catania, Italy Negin Salimi Wageningen University and Research, The Netherlands Kannan Govindan Southern Denmark University, Denmark Luis Martínez López University of Jaén, Spain Salvatore Corrente University of Catania, Italy James Liou National Taipei University of Technology, Taiwan Himanshu Gupta Indian Institute of Technology, Dhanbad, India Alessio Ishizaka NEOMA Business School, France Jingzheng Ren The Hong Kong Polytechnic University, Hong Kong SAR, China Simonov Kusi-Sarpong University of Southampton, UK Huchang Liao Sichuan University, China Organizing Committee Jafar Rezaei DelftUniversityofTechnology,TheNetherlands Geqie Sun DelftUniversityofTechnology,TheNetherlands Pelin Gulum Tas DelftUniversityofTechnology,TheNetherlands vii Contents An Overview of the Applications of BWM in Health . . . . . . . . . . . . . . . 1 Pelin Gulum Tas A State-of the-Art Survey of Best-Worst Method Applications for the Problems Related to COVID-19 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 İbrahim Miraç Eligüzel and Eren Özceylan Why Should Not a Decision Analyst be Content with Only (n(cid:1)1) Pairwise Comparisons? Echoes from the Literature. . . . . . . . . . . . . . . . 33 Matteo Brunelli Identifying Relative Marginal Value Functions for Ranking . . . . . . . . . 41 Majid Mohammadi and Jafar Rezaei A Consensus-Based Best-Worst Method for Multi-criteria Group Decision-Making. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 Álvaro Labella, Diego García-Zamora, Rosa M. Rodríguez, and Luis Martínez A Fuzzy Best-Worst Method Based on the Fuzzy Interval Scale . . . . . . 59 Nastaran Goldani and Mostafa Kazemi Integrating Sustainable Goals in Transmission System Operators’ Projects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 Georgios Athanasiou A GIS-Based BWM Approach for the Location Selection of Solar Power Plant in Tunceli Province (Turkey) . . . . . . . . . . . . . . . . . . . . . . . 87 Zekeriya Konurhan, Melih Yucesan, and Muhammet Gul A Fuzzy Best Worst Method Based Prioritization of Solar Panel Selection Criteria . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 Kevser Arman and Nilsen Kundakcı ix x Contents Prioritizing Competitive Capabilities in Additive Manufacturing Systems Using Best-Worst Method. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117 Vishwas Dohale, Milind Akarte, and Priyanka Verma IdentifyingImpactoftheEntrepreneurshipEcosystemontheSuccess of Entrepreneurial Start-Up Firms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 Georgios Boutris and Negin Salimi Prioritizing the Distributor’s Key Performance Indicators and Constraints to Implement TOC-Based Solution for Outbound Supply Chain Network. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146 Chandrashekhar Chaudhari, Vivek Khanzode, Rauf Iqbal, and Vishwas Dohale Evaluating and Ranking the Supplier Selection Criteria for Additive Manufacturing Firms Using Best-Worst Method . . . . . . . . . . . . . . . . . . 161 Priya Ambilkar, Priyanka Verma, and Debabrata Das Author Index.. .... .... .... ..... .... .... .... .... .... ..... .... 177 An Overview of the Applications of BWM in Health B PelinGulumTas( ) DelftUniversityofTechnology,Delft,TheNetherlands [email protected] Abstract. ThisarticlepresentsanoverviewoftheBest-WorstMethod(BWM) applications in health and gives observations and concluding remarks about reviewed articles. BWM is a multi-criteria decision-making (MCDM) method developed to evaluate alternatives that a group of criteria characterizes. It has attractedtheattentionofmanyresearchersfromdifferentdisciplines.Sixtyarti- clesthatappliedBWMoroneofthevariantshavebeenreviewedtoprovidean overview of the applications of BWM in the area of health. Investigated stud- ies are divided into six groups: healthcare system evaluation studies, hospitals, performanceandservicequalitystudies,diagnosingandtreatment-relatedstud- ies,healthcaresupplychainstudies,healthcaresupportsystemsapplicationsand occupationalhealthandsafetystudies.Eacharticleisanalyzedintermsofspecific applicationareainhealth,motivationofthestudy,integrationoftheBWMwith othermethods,ifany,andessentialapplicationfindingsforbothacademiciansand practitioners.WiththemotivationofgivingageneralideaofBWMapplications inhealth,theimpressionsobtainedandsuggestionsarepresentedattheend.The findingsindicatethatBWMisafavourablemethodforhealth-relateddecision- makingproblems,anditwillbepreferredmoreinhealthapplicationsinthefuture duetoitsabilitytoadapttoothermethods,practicalityandreliableresults. Keywords: Best-WorstMethod(BWM)·Health·Multi-criteriadecision making·Hospitalperformanceanalysis·Occupationalhealthandsafety 1 Introduction In problems where multiple alternatives and objectives should be considered simulta- neously, the multi-criteria decision–making (MCDM) theory is used to compare the alternativesandmakethebestchoice[1].DifferentMCDMmethodsoffersuchaneval- uationprocessintheliterature,andBest-WorstMethod(BWM)isoneofthem.BWM hasbeenexposedtotheintenseinterestofscholarssincethetimeitemergedin2015and hastakenplaceamongthewidelyusedMCDMmethods[2].Thismethodidentifiesthe bestandworstcriteriaandthencomparestheotherswiththedeterminedones.Superior tootherwell-knownMCDMmethodsintheliterature,itrequiresfewercomparisondata, turnsintopairwisecomparisonstepstime-efficient,andprovidesdecision-makerswith consistentandreliableresults[1].Becauseofitspracticality,BWMisappliedtovarious ©TheAuthor(s),underexclusivelicensetoSpringerNatureSwitzerlandAG2023 J.Rezaeietal.(Eds.):BWM2022,LNOR,pp.1–18,2023. https://doi.org/10.1007/978-3-031-24816-0_1
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