Algorithm for Customizing the Material Selection Process for Application in Power Engineering

Katarina Tomičić-Pupek, Ilija Srpak, Ladislav Havaš and Dunja Srpak
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Katarina Tomičić-Pupek: Faculty of Organization and Informatics, University of Zagreb, 42000 Varaždin, Croatia
Ilija Srpak: St Catharine’s College, University of Cambridge, Cambridge CB2 1RL, UK
Ladislav Havaš: Department of Electrical Engineering, University North, 42000 Varaždin, Croatia
Dunja Srpak: Department of Electrical Engineering, University North, 42000 Varaždin, Croatia

Energies, 2020, vol. 13, issue 23, 1-14

Abstract: Disruptions in the global market are influencing value and supply chains reminding businesses and industries that variability and diversity of supply chains may be essential for surviving and sustainability. Operations management of any business has to address these challenges in order to avoid any serious interruptions in supply of materials in production industries by seeking substitute inputs. At the same time, the technological development offers new materials with similar quality properties, making thereby the substitute material search more difficult in terms of selecting appropriate materials with a level of quality which is similar enough. Another aspect in shifting can be found in more social-related reasons addressing changes in the value chains like traceability, low carbonization, and a more customer-oriented approach, because of moving towards green digital business. In this sense the intention of this work was to propose an algorithm for customizing the process of identifying appropriate materials in production by relying on existing algorithms i.e., the Ashby mapping, big data, applying algorithms of data analysis based on exclusion criteria embracing transformation paradigms, for enabling customization of the material selection process. The proposed algorithm was applied on two case examples, demonstrating that diversity of materials plays an important role in addressing customization requests from customers. Consequently, understanding and implementing a customer-centric approach in various phases of the product life cycle contributes to a better response by businesses faced with issuing customized offerings.

Keywords: Ashby map; big data; material selection; power engineering; supply chain management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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