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Decision-Making Approach to Selecting Optimal Platform of Service Variants
Joint Authors
Modrak, Vladimir
Bednar, Slavomir
Semanco, Pavol
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-07-19
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Modrak, Vladimir& Bednar, Slavomir& Semanco, Pavol. 2016. Decision-Making Approach to Selecting Optimal Platform of Service Variants. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112937
Modern Language Association (MLA)
Modrak, Vladimir…[et al.]. Decision-Making Approach to Selecting Optimal Platform of Service Variants. Mathematical Problems in Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1112937
American Medical Association (AMA)
Modrak, Vladimir& Bednar, Slavomir& Semanco, Pavol. Decision-Making Approach to Selecting Optimal Platform of Service Variants. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112937
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112937