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Theory of binary-valued data envelopment analysis: an application in assessing the sustainability of suppliers

Karimi, B, Azadi, Majid, Farzipoor Saen, R and Fosso Wamba, S 2022, Theory of binary-valued data envelopment analysis: an application in assessing the sustainability of suppliers, Industrial Management and Data Systems, vol. 122, no. 3, pp. 682-701, doi: 10.1108/IMDS-09-2021-0555.

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Title Theory of binary-valued data envelopment analysis: an application in assessing the sustainability of suppliers
Author(s) Karimi, B
Azadi, MajidORCID iD for Azadi, Majid orcid.org/0000-0002-6865-7637
Farzipoor Saen, R
Fosso Wamba, S
Journal name Industrial Management and Data Systems
Volume number 122
Issue number 3
Start page 682
End page 701
Total pages 20
Publisher Emerald
Place of publication Bingley, Eng.
Publication date 2022-03-15
ISSN 0263-5577
1758-5783
Keyword(s) Binary-valued data
CHAIN
Computer Science
Computer Science, Interdisciplinary Applications
CONGESTION
Data envelopment analysis (DEA)
EFFICIENCY
Efficiency measurement
Engineering
Engineering, Industrial
INTEGER DATA
Integer-valued data
MANAGEMENT
MODEL
MULTIOBJECTIVE OPTIMIZATION
PERFORMANCE EVALUATION
Science & Technology
SELECTION
Sustainable suppliers
Technology
Summary PurposeThe objective of this study is to present a binary-valued data envelopment analysis (DEA) theory. The authors’ proposed approach, for the first time, combines binary-valued and integer-valued theories concurrently in the DEA context. To do so, new production possibility sets (PPSs) with some distinguished features are developed.Design/methodology/approachThe authors address integer inputs and outputs in the proposed approach by introducing a new PPS.FindingsTo take into account the binary data, the authors develop axiomatic DEA principles. The binary production principles guarantee any combination of convexity and feasibility. Furthermore, the authors develop a new DEA model to consider integer and real data. A case study is presented to show the usefulness of the developed models. Using the proposed models, the authors obtained benchmarks to solve the sustainable supplier selection problems.Originality/value(1) For the first time, binary-valued and integer-valued theories are presented in an integrated DEA model. (2) To deal with the pure binary data, a new PPS is proposed. (3) To consider real, integer and binary data, a new PPS is introduced. (4) New technologies are developed to propose feasible solutions. (5) The proposed models can project inefficient decision-making units (DMUs) on efficiency frontier given binary, integer and real data. (6) A case study is given for the performance evaluation of sustainable suppliers.
Language eng
DOI 10.1108/IMDS-09-2021-0555
Field of Research 0803 Computer Software
0806 Information Systems
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30162491

Document type: Journal Article
Collections: Faculty of Business and Law
Department of Marketing
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Created: Thu, 26 May 2022, 10:13:05 EST

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