Single‐phase slack‐based centralized DEA for resource reallocation

Yu, Ming‐Miin; Hsiao, Bo

doi:10.1111/itor.12210

Cited by 16 publications

(8 citation statements)

References 24 publications

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“…A data envelopment analysis (DEAs) is a data-oriented technique proposed by Charnes et al (1978). It was developed for measuring the relative efficiencies within a group of decisionmaking units (DMUs) that utilize some inputs to generate a set of outputs (Dobos and V€ or€ osmarty, 2019;Hilmola et al, 2015;Khodakarami et al, 2016;Lin and Chen, 2017;Yu and Hsiao, 2018;Seydel, 2006). A data envelopment analysis can identify the strengths and weaknesses of each industrial unit based on industry criteria.…”

Section: Data Envelopment Analysismentioning

confidence: 99%

Firm capability assessment via the BSC and DEA

Lin

Ting

Lee

et al. 2021

IMDS

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PurposeThis study proposes an objective assessment model to evaluate the performance of internal and external capabilities of firms. It facilitates firms to invest appropriate resources to cultivate the organizational capability necessary to meet the requirements of the performance indicators.Design/methodology/approachThis study integrates the concepts of resource-based theory, the organizational capability concept, and conduct a performance analysis to the four perspectives of the BSC by implementing the fuzzy set theory and data employment analysis.FindingsThe findings show that the appropriate strategies help allocate available resources and capabilities during the different product life cycle, which provides practical guidelines for firms to achieve sustaining competitive advantage.Research limitations/implicationsThe selected factors were focused on four resources and capabilities rather than all possible factors.Originality/valueAn objective assessment model was created based on internal and external competitive performance efficiency in this research field. This model facilitates the ability of the top management to make decisions for resource allocation that will enhance firm's performance.

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Section: Data Envelopment Analysismentioning

confidence: 99%

Firm capability assessment via the BSC and DEA

Lin

Ting

Lee

et al. 2021

IMDS

View full text Add to dashboard Cite

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“…Data envelopment analysis (DEA) is the most popular non-parametric programming technique. Since the first DEA model (named CCR model) was proposed in 1978, a great many DEA models have been developed to evaluate the performance of banks, manufacturers, hospitals, universities, and so on [23], [24].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Pallet Rental Companies: A Non-Oriented Super-Efficiency Integer-Valued DEA Model

et al. 2019

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Pallets play an important role in logistics. It is well known that pallet rental is beneficial to both pallet users and society, and the pallet rental industry is very large nowadays. A non-oriented superefficiency integer-valued DEA (data envelopment analysis) model for the performance evaluation of pallet rental companies is presented. The method differs from traditional models in that (1) it can be used to accurately estimate the performance of efficient pallet rental companies with integer-valued and real-valued variables; (2) it is an alternative approach to providing numerical super-efficiency scores for efficient pallet rental companies when input-oriented or output-oriented VRS (variable returns to scale) super-efficiency models are infeasible for them. A case study of nine pallet rental companies proves the advantages of the proposed model, and it shows that the efficiency gap among pallet rental companies is very large. Based on the results, some suggestions on the development of the pallet rental industry are proposed. The methodology and results would provide valuable contributions to the decision-making processes of both pallet rental companies and their customers.

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“…Moreover, because of its nonparametric character, DEA has wide applicability. Thus, for example, it has been applied to manufacturing firms (e.g., Huang, ), public services (e.g., Moreno and Lozano, ), universities (e.g., Tran and Villano, ), banks (e.g., Chen et al., ), accounting firms (e.g., Hsiao et al., ), airports (e.g., Yu and Hsiao, ), and so forth.…”

Section: Introductionmentioning

confidence: 99%

Efficiency assessment using a multidirectional DDF approach

Lozano

Soltani

2018

Int Trans Operational Res

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This paper proposes a new efficiency measure that aims at capturing the overall distance to the efficient frontier and not the distance corresponding to a specific projection, as most oriented and non‐oriented methods compute. The proposed approach uses a grid‐based method to sample all possible improvement directions from a given operating point and for each direction it computes a directional efficiency score solving a directional distance function model. This provides information about the distribution of the distance to the efficient frontier. Therefore, the proposed multidirectional efficiency measure does not provide a single efficiency score but a distribution of efficiency scores. The minimum, the median, the Q1 and Q3 quartiles and the maximum can be singled out as representatives of that distribution. The latter corresponds to the closest among the computed efficient targets. In addition to the efficiency score distribution, the associated efficient targets are also provided. The proposed approach can take into account integer and nondiscretionary variables and a preference structure. An application of the method to assess the efficiency of material recovery facilities is presented.

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Single‐phase slack‐based centralized DEA for resource reallocation

Cited by 16 publications

References 24 publications

Firm capability assessment via the BSC and DEA

Firm capability assessment via the BSC and DEA

Performance Evaluation of Pallet Rental Companies: A Non-Oriented Super-Efficiency Integer-Valued DEA Model

Efficiency assessment using a multidirectional DDF approach

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