Efficiency Evaluation of a Three-Stage Leader-Follower Model by the Data Envelopment Analysis with Double-Frontier Viewpoint

Vaezi, Ehsan; Najafi, Seyyed Esmaeil; Hajimolana, Seyed Mohammad; Lotfı, Farhad Hosseinzadeh; Namin, M. Ahadzadeh

doi:10.24200/sci.2019.51980.2459

Cited by 3 publications

(3 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For further research, non-discretionary factors or weak disposability assumptions can be considered in the newly presented model. For further research in this subject, consider the case where the stage's operation has the priority over each other in order to be optimized, thus it is suggested to use the leader-follower method, Vaezi et al [39].…”

Section: Discussionmentioning

confidence: 99%

Sustainable Supply Chain Evaluation with Shared Resources and Shared Feedbacks: A Common Set of Weights Slack Based Model

Moghaddas

2022

Scientia Iranica

View full text Add to dashboard Cite

Data envelopment analysis (DEA) has been recently employed for performance and efficiency evaluation of decision-making units (DMUs) with multiple inputs and outputs. Complex internal relations within a DMU required more accurate DEA models than existing classic DEA. In real world applications, shared resources, among stages of a supply chain, is of great interest for managers and decision makers. Unfair allotment of shared factors can render the assessment invalid. In this study, an innovative DEA model is formulated for efficiency evaluation of a supply chain with shared factors. In the first step, a linear DEA model is presented in the multiplier form, based on the slackbased measure for efficiency assessment, in order to obtain the optimal proportion of the shared resources and shared feedbacks which are dual-role factors are presented. Then, the aggregate efficiency is decomposed into its stage efficiencies. Next, the presented model is extended for deriving the Common Set of Weights (CSW) for efficiency evaluation of the entire chain and correspondence stages. The case of 20 sustainable supply chains in the oil industry is considered with the developed DEA approach.

show abstract

Section: Discussionmentioning

confidence: 99%

Sustainable Supply Chain Evaluation with Shared Resources and Shared Feedbacks: A Common Set of Weights Slack Based Model

Moghaddas

2022

Scientia Iranica

View full text Add to dashboard Cite

show abstract

“…The advantage of this technique is to define the dynamic modification of the productivity of any decision making unit comprehensively, both vertically and horizontally. More highly, the number of decision making unit is increased in this technique; hence, it improves the discriminating power by increasing the amount of decision making units after a limited number of units are available [39][40][41][42][43] . The results of the described method (window analysis process) are shown in the case study section.…”

Section: Dea Window Analysismentioning

confidence: 99%

Measuring an efficiency aggregation of medical diagnostic laboratories: A window NDEA approach

Vaezi

2023

Med. Imag. Proc. Tech.

View full text Add to dashboard Cite

The efficiency evaluation of laboratories, as one of the most significant areas of healthcare, plays a key role in the quality of laboratory management. The classic data envelopment analysis (DEA) models have overlooked intermediate products, internal interactions and dealt with analyzing the network within the “Black Box” mode. This results in the loss of important information, and at times, a considerable modification occurs in efficiency results. This article evaluated the efficiency of some selected medical diagnostic laboratories in the city of Tehran according to the network data envelopment analysis (NDEA) approach. We considered a four-stage structure with additional inputs and undesirable outputs. We obtain the labs’ performance over a period of 6 months in 2022 by the NDEA window analysis process. To this aim, a four-stage structure model of three chief medical diagnostic laboratory processes as the pre-test, the test, and the post-test is designed. We considered sustainability criteria (economic, social, and environmental) to appraise the performance of laboratories, thus helping to improve the social, economic, and environmental problems of medical diagnostic laboratories. By using the Delphi viewpoint, the criteria for efficiency evaluation are achieved. The results showed that laboratory unit No. 22 maintained the highest average overall efficiency, since the high accuracy of this unit’s laboratory results had led to many physicians recommending this unit to their patients. We found that the only laboratory unit No. 20 had a decreasing trend, as it is located in an area that abounds with administrative and educational centers. At the beginning of the exam period, then the summer holidays, and finally the wave of end-of-summer trips, a decline occurs in efficiency over the period of six months.

show abstract

“…The key idea of DEA model is to explore the gap between the evaluated DMU and the optimal DMU, which can be measured from the two dimensions of input and output. Given that decision makers have greater control over input than output (Vaezi et al, 2021), this paper selects the input-oriented model for efficiency solution. Variable f indicates the potential reduction degree of input indicator.…”

Section: Gse-ndea Modelmentioning

confidence: 99%

The Recent Ecological Efficiency Development in China: Interactive Systems of Economy, Society and Environment

Yang

Wong

et al. 2022

Technological and Economic Development of Economy

View full text Add to dashboard Cite

Ecological efficiency (EE) provides much reference for formulating appropriate regional economic, social and environmental policies to promote sustainable development. Interactive subsystems of economy, society and environment within EE system have been considered in this paper. By innovatively integrating the merits of two advanced economic research methods (global super efficiency network data envelopment analysis (GSE-NDEA) and panel vector autoregression (PVAR) and updating the EE evaluation indicator system by following the new features of sustainable development in the recent China, this paper comprehensively evaluates EE by drawing evidence from 3 regions in China during the period of 2011–2020, and further reveals how the three subsystems within EE system interact to achieve EE enhancement. The findings show EE and its three subsystems’ trend, the major constrains of EE development, the regional discrepancies in EE progress, and the interactions among the subsystems of economy-society-environment within the EE system in different regions of China. The policy implications are proposed accordingly.

show abstract

Efficiency Evaluation of a Three-Stage Leader-Follower Model by the Data Envelopment Analysis with Double-Frontier Viewpoint

Cited by 3 publications

References 50 publications

Sustainable Supply Chain Evaluation with Shared Resources and Shared Feedbacks: A Common Set of Weights Slack Based Model

Sustainable Supply Chain Evaluation with Shared Resources and Shared Feedbacks: A Common Set of Weights Slack Based Model

Measuring an efficiency aggregation of medical diagnostic laboratories: A window NDEA approach

The Recent Ecological Efficiency Development in China: Interactive Systems of Economy, Society and Environment

Contact Info

Product

Resources

About