Integrating dual-role variables in data envelopment analysis

Yang, Feng; Liang, Liang; Li, Zhaoqiong; Du, Shaofu

doi:10.3969/j.issn.1004-4132.2010.05.009

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…His proposed model modified the limitation of Cook et al's (2006) model. Based on this model, Farzipoor Saen (2011b), Farzipoor Saen (2010a, b, c;2011a, b, c) and Yang et al (2010) extended several dual-role models in the presence of stochastic data, imprecise data, and weight restrictions and applied them to assess 3PL providers, international market, advertising media, technology, and production system. Nonetheless, Mahdiloo et al (2011) mentioned that the conventional models (such as Cook et al, 2006;Farzipoor Saen, 2010c) deal with dual-role factor as non-discretionary (uncontrollable) criteria, whereas there might be dual-role factor which is under control of management.…”

Section: Dual-role Factormentioning

confidence: 99%

Developing a novel data envelopment analysis model to determine prospective benchmarks of green supply chain in the presence of dual-role factor

Shabani

Saen

2015

Benchmarking: An International Journal

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Article information:To cite this document: Amir Shabani Reza Farzipoor Saen , (2015),"Developing a novel data envelopment analysis model to determine prospective benchmarks of green supply chain in the presence of dual-role factor", Access to this document was granted through an Emerald subscription provided by emeraldsrm:198285 [] For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to develop a model based on data envelopment analysis (DEA) and program evaluation and review technique/critical path method (PERT/CPM) for determining prospective benchmarks. Design/methodology/approach -The idea of determining prospective benchmark is needed for developing a model for future planning where inputs and outputs of systems are influenced by external factors such as economic conditions, demographic changes, and other socio-economic factors. In this paper, the PERT/CPM method estimates prospective inputs and outputs. On the other hand, in particular systems some measures play the role of both input and output. Such factors in DEA literature are called dual-role factors. This paper integrates PERT/CPM technique and the DEA. Findings -The results of the proposed model depict that a present benchmark may not be a benchmark in future. A numerical example validates the proposed model. Originality/value -This paper, for the first time, applies the PERT/CPM technique to incorporate the ideas for identifying prospective benchmarks. Moreover, the proposed model is an alternative solution for classifying inputs and outputs in DEA. Also, the proposed model is utilized in benchmarking green supply chain management.

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Section: Dual-role Factormentioning

confidence: 99%

Developing a novel data envelopment analysis model to determine prospective benchmarks of green supply chain in the presence of dual-role factor

Shabani

Saen

2015

Benchmarking: An International Journal

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“…However, there might be dual-role factors which are completely discretionary. Decision variable is an important element in DEA framework, and the cognition of decision variable improves the progress of DEA-based theories and approaches (Yang et al, 2010). Farzipoor Saen (in press) addresses that, in traditional DEA, the decision-maker decides which criteria are inputs and which are outputs.…”

Section: Managerial Implicationsmentioning

confidence: 99%

“…Cook et al (2006) developed a new model that has no above-mentioned limitations. Yang et al (2010) analysed the structure and properties of the production systems and suggested a DEA model which considers dual-role factors. Farzipoor Saen (2010a) proposed a new model for selecting third-party reverse logistics (3PL) providers in the presence of multiple dual-role factors.…”

Section: Introductionmentioning

confidence: 99%

A new approach for considering a dual-role factor in data envelopment analysis

Noorizadeh

Mahdiloo

Saen

2012

IJOR

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The conventional data envelopment analysis models deal with dualrole factor as non-discretionary (uncontrollable) factor. However, there might be dual-role factor which is under control of decision-maker. In addition, despite the fact that there are several publications addressing dual-role factors, it seems that their idea of classifying a factor as an input or an output within a single model has a limitation. They also do not consider non-zero input and output slacks and cannot fully measure the inefficiency of decisionmaking units. To resolve these limitations and to consider dual-role factor as well, this paper proposes a slacks-based measure model which does not consider dualrole factor as a non-discretionary factor. To compare the results of proposed approach with conventional model, a statistical analysis is run. A numerical example demonstrates the application of the proposed method.

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A decision model for supplier selection in the presence of dual-role factors

Ding

Dong

et al. 2015

Journal of the Operational Research Society

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Integrating dual-role variables in data envelopment analysis

Cited by 4 publications

References 16 publications

Developing a novel data envelopment analysis model to determine prospective benchmarks of green supply chain in the presence of dual-role factor

Developing a novel data envelopment analysis model to determine prospective benchmarks of green supply chain in the presence of dual-role factor

A new approach for considering a dual-role factor in data envelopment analysis

A decision model for supplier selection in the presence of dual-role factors

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