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Supply–demand effectiveness: capturing the effects of supply and demand mismatches in operational performance measurement

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Abstract

Conventional data envelopment analysis models of technical efficiency measurement evaluated relative production technology but failed to consider market factors. Several recent studies defined the concepts of penalized output and penalized input to quantify demand mismatch and supply mismatch, respectively. Then they developed various models to involve the effect of these two market factors. But we notice that these articles did not provide an efficiency measurement with both supply and demand into account to evaluate or rank decision-making units. Referring to the research of demand effectiveness, this paper defines the operational performance considering both supply and demand mismatches as “supply–demand effectiveness”. Then we incorporate both penalized input and penalized output into BCC model to measure supply–demand effectiveness and derives propositions to reveal its properties and differences from traditional technical efficiency.

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References

  • An Q, Meng F, Ang S, Chen X (2018) A new approach for fair efficiency decomposition in two-stage structure system. Oper Res Int Journal 18:257–272

    Article  Google Scholar 

  • Ang S, An Q, Yang F, Ji X (2019) Target setting with minimum improving costs in data envelopment analysis: a mixed integer linear programming approach. Expert Syst 36(4):e12408

    Article  Google Scholar 

  • Aparicio J, Ruiz JL, Sirvent I (2007) Closest targets and minimum distance to the Paretoefficient frontier in DEA. J Prod Anal 28(3):209–218

    Article  Google Scholar 

  • Asmild M, Paradi JC, Reese DN, Tam F (2007) Measuring overall efficiency and effectiveness using DEA. Eur J Op Res 178(1):305–321

    Article  Google Scholar 

  • Banker RD, Charnes A, Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manage Sci 30(9):1078–1092

    Article  Google Scholar 

  • Camanho AS, Dyson RG (2005) Cost efficiency measurement with price uncertainty: a DEA application to bank branch assessments. Eur J Oper Res 161(2):432–446

    Article  Google Scholar 

  • Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2(6):429–444

    Article  MathSciNet  Google Scholar 

  • Charnes A, Cooper WW, Golany B, Seiford L, Stutz J (1985) Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions. J Econ 30(1–2):91–107

    Article  MathSciNet  Google Scholar 

  • Christopoulos AG, Dokas IG, Katsimardou S, Vlachogiannatos K (2016) Investigation of the relative efficiency for the Greek listed firms of the construction sector based on two DEA approaches for the period 2006–2012. Oper Res Int J 16:423–444

    Article  Google Scholar 

  • Cooper WW, Park KS, Pastor JT (1999) RAM: a range adjusted measure of inefficiency for use with additive models, and relations to other models and measures in DEA. J Prod Anal 11(1):5–42

    Article  Google Scholar 

  • Dyson RG, Thanassoulis E (1988) Reducing weight flexibility in data envelopment analysis. J Op Res Soc 39:563–576

    Article  Google Scholar 

  • Edirisinghe NC, Zhang X (2007) Generalized DEA model of fundamental analysis and its application to portfolio optimization. J Bank Finance 31(11):3311–3335

    Article  Google Scholar 

  • Ertay T, Ruan D, Tuzkaya UR (2006) Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems. Inf Sci 176(3):237–262

    Article  Google Scholar 

  • Farrell MJ (1957) The measurement of productive efficiency. J R Stat Soc Series A 120(3):253–281

    Article  Google Scholar 

  • Golany B, Phillips FY, Rousseau JJ (1993) Models for improved effectiveness based on DEA efficiency results. IIE Trans 25(6):2–10

    Article  Google Scholar 

  • Johnes J (2006) Measuring teaching efficiency in higher education: an application of data envelopment analysis to economics graduates from UK Universities 1993. Eur J Oper Res 174(1):443–456

    Article  ADS  Google Scholar 

  • Lee CY (2014) Distinguishing operational performance in power production: a new measure of effectiveness by DEA. IEEE Trans Power Syst 30(6):3160–3167

    Article  ADS  Google Scholar 

  • Lee CY (2016) Most productive scale size versus demand fulfillment: a solution to the capacity dilemma. Eur J Oper Res 248(3):954–962

    Article  MathSciNet  Google Scholar 

  • Lee CY, Johnson AL (2011) A decomposition of productivity change in the semiconductor manufacturing industry. Int J Prod Res 49(16):4761–4785

    Article  Google Scholar 

  • Lee CY, Johnson AL (2012) Two-dimensional efficiency decomposition to measure the demand effect in productivity analysis. Eur J Oper Res 216(3):584–593

    Article  Google Scholar 

  • Lee CY, Johnson AL (2014) Proactive data envelopment analysis: effective production and capacity expansion in stochastic environments. Eur J Oper Res 232(3):537–548

    Article  MathSciNet  Google Scholar 

  • Lee CY, Johnson AL (2015) Effective production: measuring of the sales effect using data envelopment analysis. Ann Oper Res 235(1):453–486

    Article  MathSciNet  Google Scholar 

  • Lovell CK, Pastor JT (1999) Radial DEA models without inputs or without outputs. Eur J Oper Res 118(1):46–51

    Article  Google Scholar 

  • Ngo T, Tsui KWH (2022) Estimating the confidence intervals for DEA efficiency scores of Asia-Pacific airlines. Oper Res Int J 22(4):3411–3434

    Article  Google Scholar 

  • Pastor JT (1996) Translation invariance in data envelopment analysis: a generalization. Ann Oper Res 66(2):91–102

    Article  MathSciNet  Google Scholar 

  • Seiford LM, Thrall RM (1990) Recent developments in DEA: the mathematical programming approach to frontier analysis. J Econ 46(1–2):7–38

    MathSciNet  Google Scholar 

  • Seiford LM, Zhu J (1999) Profitability and marketability of the top 55 US commercial banks. Manage Sci 45(9):1270–1288

    Article  Google Scholar 

  • Shafer SM, Byrd TA (2000) A framework for measuring the efficiency of organizational investments in information technology using data envelopment analysis. Omega 28(2):125–141

    Article  Google Scholar 

  • Sun C, Ang S, Wei F, Yang F (2023) The max-reward and min-penalty frontier: a benchmark for research of supply and demand mismatches. J Op Res Soc 74(11):2418–2431

    Article  Google Scholar 

  • Thrall RM (1996) The lack of invariance of optimal dual solutions under translation. Ann Oper Res 66(2):103–108

    Article  MathSciNet  Google Scholar 

  • Tone K (2001) A slacks-based measure of efficiency in data envelopment analysis. Eur J Oper Res 130(3):498–509

    Article  MathSciNet  Google Scholar 

  • Wang K, Zhang J, Wei YM (2017) Operational and environmental performance in China’s thermal power industry: taking an effectiveness measure as complement to an efficiency measure. J Environ Manage 192:254–270

    Article  PubMed  Google Scholar 

  • Wang K, Lee CY, Zhang J, Wei YM (2018) Operational performance management of the power industry: a distinguishing analysis between effectiveness and efficiency. Ann Oper Res 268(1):513–537

    Article  Google Scholar 

  • Wei F, Fu Y, Yang F, Sun C, Ang S (2023a) Closest target setting with minimum improvement costs considering demand and resource mismatches. Oper Res Int J 23(3):42

    Article  Google Scholar 

  • Wei F, Zhang X, Song J, Yang F (2023b) Efficiency evaluation of healthcare services in China based on stochastic multicriteria acceptability analysis and directional distance function. Int Trans Oper Res 30(1):369–393

    Article  Google Scholar 

  • Yang M, Li Y, Chen Y, Liang L (2014) An equilibrium efficiency frontier data envelopment analysis approach for evaluating decision-making units with fixed-sum outputs. Eur J Oper Res 239(2):479–489

    Article  MathSciNet  Google Scholar 

  • Zhang X, Xia Q, Wei F (2023a) Efficiency evaluation of two-stage parallel-series structures with fixed-sum outputs: an approach based on SMAA and DEA. Expert Syst Appl 227:120264

    Article  Google Scholar 

  • Zhang X, Xia Q, Wei F, Ang S (2023) Efficiency evaluation for decision making units with fixed-sum outputs using data envelopment analysis and stochastic multicriteria acceptability analysis. INFOR Inform Syst Op Res 61(3):419–444

    MathSciNet  Google Scholar 

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Funding

Funding was provided by (National Natural Science Foundation of China (Grant No. 72101246, 71991464 72188101, 71921001), the Fundamental Research Funds for the Central Universities, (Grant No. JZ2023HGTB0286) and Anhui Provincial Natural Science Foundation (Grant No. 2108085MG238).

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Authors and Affiliations

  1. School of Management, University of Science and Technology of China, Hefei, 230026, Anhui, People’s Republic of China

    Chun Sun, Dawei Wang & Feng Yang

  2. School of Management, Hefei University of Technology, Hefei, 230009, Anhui, People’s Republic of China

    Sheng Ang

  3. School of Economics, Hefei University of Technology, Hefei, 230009, Anhui, People’s Republic of China

    Fangqing Wei

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  1. Chun Sun
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  2. Sheng Ang
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  3. Fangqing Wei
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  4. Dawei Wang
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  5. Feng Yang
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Correspondence to Fangqing Wei.

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Sun, C., Ang, S., Wei, F. et al. Supply–demand effectiveness: capturing the effects of supply and demand mismatches in operational performance measurement. Oper Res Int J 24, 13 (2024). https://doi.org/10.1007/s12351-024-00819-8

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  • DOI: https://doi.org/10.1007/s12351-024-00819-8

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