Identification of congestion by means of integer-valued data envelopment analysis

Karimi, Balal; Khorram, Esmaile; Moeini, Mahdi

doi:10.1016/j.cie.2016.06.017

Cited by 16 publications

(4 citation statements)

References 18 publications

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“…In this section, several of holes data are generated to simulate the method proposed in this paper to verify the effectiveness, and then a set of inspection data after actual box processing is used to verify the feasibility of the method under actual conditions. The tool for solving the model is LINGO11, which is commonly used to solve optimization problems [19,20].…”

Section: Methodsmentioning

confidence: 99%

Adaptive Machining Scheme for Multi-Hole Part with Multi-Position Accuracy Requirements

Sun

Feng

Zeng

et al. 2021

Preprint

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The machining of multi-hole parts often has complex correlated position accuracy requirements. When some position accuracies do not meet the requirements, several hole axes need to be adjusted. Previous methods usually correct all deviated axes to their theoretical locations. However, the correction workload is too large and inefficient. This paper proposes an efficient and adaptive hole position correction model for multi-hole part. First, the method establishes the topological relationship of the holes and faces on the part according to the position accuracy requirements of the multi-hole part. Then, the goal is to minimize the number of holes that need to be corrected. In this model, the parallelism of holes, perpendicularity, and other constraints are considered. The simulation and experimental results show that the use of this model can effectively reduce the number of holes that need to be corrected during the compensation of the position error between holes. It improves the efficiency in the subsequent compensation process significantly.

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Section: Methodsmentioning

confidence: 99%

Adaptive Machining Scheme for Multi-Hole Part with Multi-Position Accuracy Requirements

Sun

Feng

Zeng

et al. 2021

Preprint

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“…Returns to damage and damages to return 11 (Chen et al, 2016) They employed economic, environmental and the economicenvironmental congestion aspects Three policy objectives 12 (Khoveyni et al, 2017) They considered negative data to measure the congestion Negative data 13 (Karimi et al, 2016); (Khoveyni et al, 2019) They took into account integer data to obtain congestion Integer-valued data 14 (Zhou et al, 2017) They measured congestion by using a two-stage DEA Two-stage DEA 15 (Mehdiloozad et al, 2018) They proposed a single-stage LP model to determine the congestion status Weak and strong congestion; Negative data 16 (Zhang et al, 2020); (Chen et al, 2020) They proposed models to measure the carbon congestion Carbon Congestion…”

Section: Review Of Existing Dea Models For Measuring Congestionmentioning

confidence: 99%

“…Thus, the measurement of congestion in inputs can be helpful in measuring the performance of crop production. From the econometric point of view, congestion in DEA that was proposed by Fare and Svensson (1980) is an economic condition that results from excessive investments in one or some input resources (Karimi et al, 2016). Therefore, the second goal in this study is to design a model to calculate the congestion in each tomato production farm.…”

mentioning

confidence: 99%

Energy efficiency and congestion considering data envelopment analysis and bounded adjusted measure: A case of tomato production

Khoshroo

Izadikhah

Emrouznejad

2021

Journal of Cleaner Production

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“…Karimi et al (2016) proposed an integer DEA model to identify congestion of DMUs. They presented a mixed integer programming (MIP) model for calculating efficiency scores.…”

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confidence: 99%

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

Karimi

Azadi

Saen

et al. 2022

IMDS

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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.

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Identification of congestion by means of integer-valued data envelopment analysis

Cited by 16 publications

References 18 publications

Adaptive Machining Scheme for Multi-Hole Part with Multi-Position Accuracy Requirements

Adaptive Machining Scheme for Multi-Hole Part with Multi-Position Accuracy Requirements

Energy efficiency and congestion considering data envelopment analysis and bounded adjusted measure: A case of tomato production

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

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