Benchmarking the operational efficiency of selected Malaysian retail warehouses using input-oriented CCR and super-efficiency DEA models
DOI:
https://doi.org/10.55573/JISED.118769Keywords:
retail warehouse, operational efficiency, data envelopment analysis, CCR model, super-efficiency modelAbstract
Retail warehouse plays an important role in supporting the Malaysian supply chain, but the complexity of this facility has made some individual performance indicators insufficient to capture the entire operational efficiency. This study evaluates the relative operational efficiency of 10 selected Malaysian retail warehouses using an integrated Data Envelopment Analysis (DEA) framework in two phases. Secondary cross-sectional data were obtained from publicly available annual reports, sustainability reports, and corporate publications. Three inputs—labour, warehouse space, and energy consumption, and two outputs—inventory turnover and revenue were incorporated into an input-oriented CCR model. The Super-Efficiency model was subsequently applied to differentiate and rank the CCR-efficient warehouses. The results identified five out ten warehouses as relatively efficient. Subsequently, Bonia Corporation Berhad recorded the highest Super-Efficiency score of 10.5578, followed by Padini Holdings Berhad and 99 Speedmart Distribution Center with scores of 5.6417 and 2.9486 respectively. The findings demonstrate the usefulness of combining CCR and Super-Efficiency models for efficiency evaluation and benchmarking.
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Adna, N. B., Yusoff, N. S. B. M., Adna, N. B., & Maidin, S. N. B. (2025). Efficiency of Courier Service Companies in Malaysia Using Data Envelopment Analysis (DEA) Models. Journal of Mathematics and Computing Science, 11(1), 17-24. https://doi.org/10.24191/jmcs.v11i1.7322
Agarwal, R., & Mehrotra, A. (2009). Developing global competitiveness by assessing organized retail productivity using data envelopment analysis. International Journal of Business Science & Applied Management (IJBSAM), 4(2), 1-16. https://doi.org/10.69864/ijbsam.4-2.39
Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39(10), 1261–1264. https://doi.org/10.1287/mnsc.39.10.1261
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078–1092. https://doi.org/10.1287/mnsc.30.9.1078
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
Gafner, A., Loske, D., & Klumpp, M. (2021). Efficiency measurement of grocery retail companies with DEA. In C. Jahn, W. Kersten, & C. M. Ringle (Eds.), Adapting to the future: Maritime and city logistics in the context of digitalization and sustainability (Vol. 32, pp. 317–348). Hamburg University of Technology. https://doi.org/10.15480/882.4008
Golany, B., & Roll, Y. (1989). An application procedure for DEA. Omega, 17(3), 237-250. https://doi.org/10.1016/0305-0483(89)90029-7
Kusrini, E., Prakoso, I., & Hidayatuloh, S. (2022). Improving efficiency for retail company using data envelopment analysis. Mathematical Modelling of Engineering Problems, 9(1), 261–267. https://doi.org/10.18280/mmep.090132
Lau, K. H. (2013). Measuring distribution efficiency of a retail network through data envelopment analysis. International Journal of Production Economics, 146(2), 598–611. https://doi.org/10.1016/j.ijpe.2013.08.008
Lee, H., & Kim, C. (2014). Benchmarking of service quality with data envelopment analysis. Expert Systems with Applications, 41(8), 3761-3768. https://doi.org/10.1016/j.eswa.2013.12.008
Lee, P. F., Lam, W. S., & Lam, W. H. (2023). Performance evaluation of the efficiency of logistics companies with data envelopment analysis model. Mathematics, 11(3), Article 718. https://doi.org/10.3390/math11030718
Mohamud, I. H., Kafi, M. A., Shahron, S. A., Zainuddin, N., & Musa, S. (2023). The role of company layout and operations in company efficiency: A literature review. Journal Européen des Systèmes Automatisés, 56(1), 61–68. https://doi.org/10.18280/jesa.560109
Saleheen, F., Miraz, M. H., Habib, M. M., & Hanafi, Z. (2014). Challenges of warehouse operations: A case study in retail supermarket. International Journal of Supply Chain Management (IJSCM), 3(4), 63-67.
Sanusi, S. A., Ramli, N. A., Shariff, S. R., & Masudin, I. (2025). Evaluating the Efficiency Measurement of Malaysian Logistics Company. Semarak Int. J. Transp. Logist, 2, 1-14. https://doi.org/10.37934/sijtl.2.1.114b
Soltani, R., & Soltani, S. (2026). A Two-Stage DEA–PROMETHEE II Framework for Fully Ranking Global Retail Firms in a Competitive Environment. Industrial Management Journal, 18(1), 1-21. https://doi.org/10.22059/imj.2025.390860.1008230
Staudt, F. H., Alpan, G., Di Mascolo, M., & Rodriguez, C. M. T. (2015). Company performance measurement: A literature review. International Journal of Production Research, 53(18), 5524–5544. https://doi.org/10.1080/00207543.2015.1030466
