Integrated Optimization Strategies for Enhanced Coffee Retail Store Efficiency with DEA Variants, Taguchi Signal to Noise, and Randomized Block Design

Authors

  • Pongchanun Luangpaiboon Industrial Statistics and Operational Research Unit, Department of Industrial Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathum Thani 12120, Thailand
  • Nopdanai Choosakul Industrial Statistics and Operational Research Unit, Department of Industrial Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathum Thani 12120, Thailand
  • Tankawee Boonpeng Industrial Statistics and Operational Research Unit, Department of Industrial Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathum Thani 12120, Thailand

Keywords:

Constant returns to scale, Data Envelopment Analysis (DEA), Randomized block design, Taguchi method, Undesirable outputs, Variable returns to scale

Abstract

By integrating Data Envelopment Analysis (DEA) variants, Taguchi, and randomized block design techniques, this research addresses a substantial deficiency in the existing body of knowledge by evaluating the collective performance of coffee retail establishments situated on university campuses. The research considers undesirable output such as customer complaints by conducting an analysis of five operational inputs of OPEX, CAPEX, staff count, sitting capacity, and shop size with two desirable outputs of cup production and total income. DEA and its derivatives, super efficiency CCR and BCC were extremely efficient. The BCC infeasible efficiency score was improved by incorporating a modified super-efficiency BCC. The investigation further enhances the methodology for determining the optimal DecisionMaking Units (DMUs) among various DEA variations by incorporating Taguchi signal-to-noise and randomized block design as additional components. The most effective decision-making units (12, 9, and 5) demonstrated consistent and outstanding performance in all three DEA variants, as indicated by the results that succinctly outline the key results. Conversely, DMUs 2, 10, and 14 have been identified as prospective improvement areas.

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Published

2024-06-25

How to Cite

Pongchanun Luangpaiboon, Nopdanai Choosakul, & Tankawee Boonpeng. (2024). Integrated Optimization Strategies for Enhanced Coffee Retail Store Efficiency with DEA Variants, Taguchi Signal to Noise, and Randomized Block Design. Science & Technology Asia, 29(2), 1–18. Retrieved from https://ph02.tci-thaijo.org/index.php/SciTechAsia/article/view/254614

Issue

Vol.29 No.2 (April-June 2024)

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