Efficiency evaluation of closed-loop supply chains with proportional dual-role measures

Noveiri, Monireh Jahani Sayyad; Kordrostami, Sohrab; Amirteimoori, Alireza

doi:10.14736/kyb-2020-4-0695

Cited by 1 publication

(1 citation statement)

References 56 publications

(92 reference statements)

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“…Data envelopment analysis (DEA), first developed by Charnes et al (1978), is a compelling and prevailing approach to assess the performance of entities accompanied by various inputs and outputs. After developing the basic DEA techniques (Banker et al , 1984; Charnes et al , 1978), different DEA studies, including network DEA (Färe and Grosskopf, 1996, 2000; Jahani Sayyad Noveiri et al , 2020; Jahani Sayyad Noveiri et al , 2019; Kao and Hwang, 2008; Lozano, 2015; Maghbouli et al , 2014; Noveiri et al , 2022), worst-practice-frontier DEA (Fathi et al , 2023; Rahimi et al , 2022), ranking DEA (Kordrostami et al , 2016; Mohaghar et al , 2013), interval DEA (Despotis and Smirlis, 2002; Wang et al , 2005) and inverse DEA (An et al , 2019; Emrouznejad et al , 2019; Ghiyasi, 2015; Ghiyasi and Zhu, 2020; Ghobadi, 2018; Lertworasirikul et al , 2011; Wei et al , 2000) were arisen and used to investigate the performance of decision-making units (DMUs) with disparate frameworks and various types of performance measures.…”

Section: Introductionmentioning

confidence: 99%

Inverse two-stage data envelopment analysis with interval measures for resource planning

Zibaei Vishghaei,

Kordrostami,

Amirteimoori

et al. 2023

JM2

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Purpose Assessing inputs and outputs is a significant aspect of taking decisions while there are complex and multistage processes in many examinations. Due to the presence of interval performance measures in various real-world studies, the purpose of this study is to address the changes of interval inputs of two-stage processes for the perturbations of interval outputs of two-stage systems, given that the overall efficiency scores are maintained. Design/methodology/approach Actually, an interval inverse two-stage data envelopment analysis (DEA) model is proposed to plan resources. To illustrate, an interval two-stage network DEA model with external interval inputs and outputs and also its inverse problem are suggested to estimate the upper and lower bounds of the entire efficiency and the stages efficiency along with the variations of interval inputs. Findings An example from the literature and a real case study of the banking industry are applied to demonstrate the introduced approach. The results show the proposed approach is suitable to estimate the resources of two-stage systems when interval measures are presented. Originality/value To the best of the authors’ knowledge, there is no study to estimate the fluctuation of imprecise inputs related to network structures for the changes of imprecise outputs while the interval efficiency of network processes is maintained. Accordingly, this paper considers the resource planning problem when there are imprecise and interval measures in two-stage networks.

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Section: Introductionmentioning

confidence: 99%

Inverse two-stage data envelopment analysis with interval measures for resource planning

Zibaei Vishghaei,

Kordrostami,

Amirteimoori

et al. 2023

JM2

Self Cite

View full text Add to dashboard Cite

show abstract

Efficiency evaluation of closed-loop supply chains with proportional dual-role measures

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Cited by 1 publication

References 56 publications

Inverse two-stage data envelopment analysis with interval measures for resource planning

Inverse two-stage data envelopment analysis with interval measures for resource planning

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