Two-stage network processes with shared resources and resources recovered from undesirable outputs

Wu, Jie; Zhu, Qingyuan; Ji, Xiang; Chu, Junfei; Liang, Liang

doi:10.1016/j.ejor.2015.10.049

Cited by 134 publications

(37 citation statements)

References 44 publications

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“…Model (21), secures the minimum efficiency of the first follower stage, on condition that the efficiencies of the other stages are more than (1 (22), model (13) is modified and converted to the model below:…”

Section: A Heuristic Methods From Pessimistic Viewpointmentioning

confidence: 99%

“…) from the opinion of managers under contemplation, so that by using model (15), conditions for securing the goal of the managers is surveyed. Model (14)     33 2 3 3 3 3 2 2 3 3 2 RID 3 3 3 3 are which added to model (13). The values of i α , i=1,2,3,4 for these 4 constraints comes to hand from models (15 and 16).…”

Section: Third Scenariomentioning

confidence: 99%

“…Results demonstrated that, the overall efficiency in cooperative conditions was higher than that of the non-cooperative one. In another similar research, Wu et al [13] contemplated on and computed the efficiency of a two-stage network, with undesirable outputs in cooperative and non-cooperative conditions. The results of this research, which considers the total efficiency as the sum of the efficiency component, denotes that, the efficiency of the sub-DMUs is in the condition of a leader in the maximal and as a follower in the minimal.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

et al. 2019

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In this paper, a three-stage network with optimal desirable and undesirable inputs and outputs has been taken into consideration by us. This network comprises of a leader and two followers. Four diverse models of Data Envelopment Analysis (DEA) to measure the efficiency or the performance, of this three-stage network have been taken under contemplation; these are namely, a Black Box Model and three Stackelberg Game (Theory) Models. A multiplicative DEA, with a double-frontier approach, to measure the efficiency of the entire system and the performances of the decision making units (DMUs), from both the optimistic and pessimistic views have been utilized. In this paper attempts have been made to present the goals of the managers in the models. Hence, aspects of goal programming have been manipulated so as to define cooperation between the leader and followers, such that, we are able to include the objectives of the managers in the models. In actual fact, a noncooperative collaboration is deliberated upon. In addition to which, in the second and third scenarios, the leader-follower, nonlinear models are present. Thereby, a heuristic approach is suggested to convert the nonlinear models into linear ones.

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Section: A Heuristic Methods From Pessimistic Viewpointmentioning

confidence: 99%

Section: Third Scenariomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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“…However, few DEA works have ever comprehensively considered situations with undesirable outputs and shared resources existing at the same time, except for Wu et al [31], who used non-cooperative efficiency measures and proportion weight to analyze the reuse of undesirable intermediate outputs in a two-stage production process with a shared resource. However, Wu et al's specification of decomposition weights may lead to biased evaluation, which is to say that the earlier stages would obtain higher decomposition weights and have a greater influence on the overall efficiency.…”

Section: Shared Resource In Deamentioning

confidence: 99%

Sustainability Evaluation of Railways in China Using a Two-Stage Network DEA Model with Undesirable Outputs and Shared Resources

Zhou

Han-hui

2017

Sustainability

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This paper constructs an additive two-stage network DEA (data envelopment analysis) model with consideration of undesirable outputs and shared inputs. Following the triple bottom line standard of sustainability, we calculate both the overall and sub-stage sustainability performance of railway transportation in China from 2002 to 2013, from the aspects of economy, environment and society. The results show that the overall sustainability of China's railway presents a character of first declining, then rising and declining again. Moreover, the railway sustainability of China's eastern areas are much better than that of the western and central areas, and the gap has become much larger since 2009. As for the sub-stage efficiency, neither the production stage nor the service stage of the railway is efficient in sustainability, and the efficiency of the production stage is lower than that of service stage and plays a greater impact on the overall sustainability. Therefore, in order to improve the overall sustainability of China's railways, it is essential to improve the level of railway engineering construction and develop technological innovations in railway production.

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“…Cook et al 2000, Chen et al 2010, Amirteimoori et al 2016, Wu et al 2016) while multilevel models (e.g. Cook et al 1998) are considered when DMUs exhibits activities that cannot be associated to any of its processes.…”

Section: Introductionmentioning

confidence: 99%

Data envelopment analysis of systems with multiple modes of functioning

Lozano

Villa

2017

Ann Oper Res

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Many systems can operate in different modes of functioning. Conventional Data Envelopment Analysis (DEA) would ignore that fact and consider instead that the system is a black box, paying attention just to the overall input consumption and output production. In this paper a more fine-grained approach is proposed consisting of explicitly modelling the different modes of functioning as specific processes and using the observed data on the input consumption and output production in each of the modes of functioning to infer the corresponding modespecific technology. The system technology results from composing these mode-specific technologies according to the corresponding time allocations. The proposed approach allows computing efficient operating points for every mode of functioning, looking for improvements in the overall system performance. Two efficiency assessment DEA models are presented depending on whether the observed time allocation is maintained or the model is free to modify it.

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Two-stage network processes with shared resources and resources recovered from undesirable outputs

Cited by 134 publications

References 44 publications

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

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

Sustainability Evaluation of Railways in China Using a Two-Stage Network DEA Model with Undesirable Outputs and Shared Resources

Data envelopment analysis of systems with multiple modes of functioning

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