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Decision-Making Approach to Selecting Optimal Platform of Service Variants

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  • Vladimir Modrak
  • Slavomir Bednar
  • Pavol Semanco

Abstract

Nowadays, it is anticipated that service sector companies will be inspired to follow mass customization trends of industrial sector. However, services are more abstract than products and therefore concepts for mass customization in manufacturing domain cannot be transformed without a methodical change. This paper is focused on the development of a methodological framework to support decisions in a selection of optimal platform of service variants when compatibility problems between service options occurred. The approach is based on mutual relations between waste and constrained design space entropy. For this purpose, software for quantification of constrained and waste design space is developed. Practicability of the methodology is presented on a realistic case.

Suggested Citation

  • Vladimir Modrak & Slavomir Bednar & Pavol Semanco, 2016. "Decision-Making Approach to Selecting Optimal Platform of Service Variants," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-8, July.
    • Handle: RePEc:hin:jnlmpe:9840679
    DOI: 10.1155/2016/9840679
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    Cited by:

    1. Qiu-Ping Bi & Yu-Cheng Li & Rong Li & Cheng Shen & Huan-Zhi Lou & Yuan-Yuan Zhang, 2022. "Modularized Design of ACDCD: An Improved Spectral Clustering-Based Approach," Sustainability, MDPI, vol. 14(3), pages 1-17, January.

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