DEA sensitivity analysis by changing a reference set: regional contribution to Japanese industrial development

Hibiki, Norio; Sueyoshi, Toshiyuki

doi:10.1016/s0305-0483(98)00034-6

Cited by 35 publications

(19 citation statements)

References 23 publications

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“…One of the interesting research subjects is to discriminate between efficient DMUs. Several authors have proposed methods for ranking the best performers ( [2][3][4][5][6][7] among others).…”

Section: Introductionmentioning

confidence: 99%

A new DEA ranking system based on changing the reference set

Jahanshahloo

Vieira²,

Lotfı

et al. 2007

European Journal of Operational Research

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Section: Introductionmentioning

confidence: 99%

A new DEA ranking system based on changing the reference set

Jahanshahloo

Vieira²,

Lotfı

et al. 2007

European Journal of Operational Research

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“…Yang and Kuo (2003) adopted a DEA approach in solving the case study problem. DEA is a linear programming-based technique which is now widely applied for the measurement of efficiency of many entities or decision-making units (DMUs) whose production processes are characterized by multiple inputs and outputs (Hibiki & Sueyoshi, 1999). The efficiency of a multiple input and outputs DMU may be defined as a weighted sum of its outputs divided by a weight sum of inputs and usually constrained to the interval [0, 1], as illustrated in Eq.…”

Section: Problem Descriptionmentioning

confidence: 99%

The use of grey relational analysis in solving multiple attribute decision-making problems

Kuo

Yang

Huang

2008

Computers & Industrial Engineering

891

453

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“…Those settings extend well beyond mean-variance financial portfolio analysis [22] to hospitals [43][44], mutual fund performance appraisal [45], managerial performance assessment [46], regional development [47], marketing [48], and production [49].…”

Section: Discussionmentioning

confidence: 99%

Efficient frontiers for electricity procurement by an LDC with multiple purchase options

Woo

Horowitz

Olson

et al. 2006

Omega

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In meeting its retail sales obligations, management of a local distribution company (LDC) must determine the extent to which it should rely on spot markets, forward contracts, and the increasingly popular long-term tolling agreements under which it pays a fee to reserve generator capacity. We address these issues by solving a mathematical programming model to derive the efficient frontier that summarizes the optimal tradeoffs available to the LDC between procurement risk and expected cost. To illustrate the approach, we estimate the expected procurement costs and associated variances that proxy for risk through a spot-price regression for the spot-purchase alternative and a variable-cost regression for the tolling-agreement alternative.The estimated regressions yield the estimates required to determine the efficient frontier. We develop several such frontiers under alternative assumptions as to the forward-contract price and the tolling agreement's capacity payment, and discuss the implications of our results for LDC management.

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DEA sensitivity analysis by changing a reference set: regional contribution to Japanese industrial development

Cited by 35 publications

References 23 publications

A new DEA ranking system based on changing the reference set

A new DEA ranking system based on changing the reference set

The use of grey relational analysis in solving multiple attribute decision-making problems

Efficient frontiers for electricity procurement by an LDC with multiple purchase options

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