Effective waste management in service industry: Fuzzy-based modelling approach for strategic decision-making.

Hasan Din��er, Serhat Y��ksel, Serkan Eti, Ya��ar G��kalp, Alexey Mikhaylov, Zuleima Karpyn
Author Information
  1. Hasan Din��er: The School of Business, ��stanbul Medipol University, ��stanbul, Turkey. ORCID
  2. Serhat Y��ksel: The School of Business, ��stanbul Medipol University, ��stanbul, Turkey.
  3. Serkan Eti: IMU Vocational School, ��stanbul Medipol University, ��stanbul, Turkey. ORCID
  4. Ya��ar G��kalp: The School of Health Science, ��stanbul Medipol University, ��stanbul, Turkey. ORCID
  5. Alexey Mikhaylov: Financial University under the Government of the Russian Federation, Russia.
  6. Zuleima Karpyn: Pennsylvania State University - Allentown Campus, Center Valley, USA. ORCID

Abstract

Hospitals need to identify issues of greater importance on waste management because the implementation of many different strategies may lead to an unconscious increase in costs. Accordingly, the purpose of this study is to define the most effective waste management strategies in the service industry. For this purpose, a novel fuzzy decision-making model is proposed that has two different stages. In this context, six JCI-based indicators are weighted by using sine trigonometric fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) methodology. Additionally, a comparative evaluation has also been conducted with sine trigonometric fuzzy Criteria Importance Through Intercriteria Correlation (CRITIC) technique to check the reliability of the findings. On the other hand, five different strategy alternatives are selected by considering the principles of the integrated waste management hierarchy approach. These items are evaluated by considering sine trigonometric fuzzy Technique for Order Preference by Similarity (TOPSIS). On the other side, these factors are also ranked with the help of sine trigonometric fuzzy Additive Ratio Assessment (ARAS) to test the consistency of the results. The main contribution is that prior strategies can be presented to the hospitals to have appropriate waste management process by defining the most important factors. Criteria weighting and alternative ranking results are the same in all combinations. Therefore, it is seen that the proposed model creates coherent and consistent results. It is defined that efficient storage of waste is the key issue to have effective waste management process. Moreover, 'reduce' is found as the most critical stage of this process.

Keywords

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MeSH Term

Waste Management
Fuzzy Logic
Decision Making
Models, Theoretical
Industry

Word Cloud

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