A Hybrid Approach for Measuring Productivity in the Global Fitness Industry by Using Grey and DEA Model

Authors

  • Chia Nan Wang Department of Industrial Engineering and Management, National Kaohsiung University of Applied Sciences, No. 415 Jiangong Rd., Sanmin Dist., Kaohsiung City, 80778, Taiwan
  • Xuan Tho Nguyen Department of Industrial Engineering and Management, National Kaohsiung University of Applied Sciences, No. 415 Jiangong Rd., Sanmin Dist., Kaohsiung City, 80778, Taiwan

Keywords:

Fitness industry, performance, GM, DEA, MPI.

Abstract

Maintaining sustainable development is becoming an important issue for the fitness industry. To solve this problem, the decision-makers need to understand the performance of this industry. This research proposes a hybrid approach based on grey model (GM) and Malmquist productivity index (MPI), to measure operational performance of worldwide fitness manufactures over several periods. From that, decision making units (DMUs) and managers can improve business performance and build a sustainable development strategy. This research conducted on 15 fitness manufactures, by the use of several input and output variables. GM was used to predict the future value of these variables. Following the MPI was used to evaluate performance of all DMUs. The MPI results showed some manufactures become more efficient, while others become less efficient. The results provide past-future insights for decision-maker to sustain fitness requirement manufacturing. The study will be a useful reference for other industries as well.

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Published

2017-11-15

How to Cite

Wang, C. N., & Nguyen, X. T. (2017). A Hybrid Approach for Measuring Productivity in the Global Fitness Industry by Using Grey and DEA Model. American Scientific Research Journal for Engineering, Technology, and Sciences, 38(1), 33–47. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/3591

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