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.
Highlights
In modern energy transmission systems, the implementation of new materials and technologies significantly contributes to reducing losses and increasing efficiency, considering environmental awareness and green business
The technique proposed in [3] integrates different multi-criteria decision-making (MCDM) approaches for selection of the most appropriate material for bio-oil conversion during pyrolysis, while the multi-objective optimization of the performance indexes is used for selection of phase change material
The issue of material selection and design of related algorithms and methods is the subject of various research works, the algorithm proposed in this paper aims to include a customer-centric approach when selecting the most appropriate materials and parts from a large amount of available data for application in power engineering
Summary
In modern energy transmission systems, the implementation of new materials and technologies significantly contributes to reducing losses and increasing efficiency, considering environmental awareness and green business. There are studies of different methods and algorithms that can facilitate the process of material selection to explore the possibilities of its application in the design of new products. The global availability of different materials and large amounts of research and data on their properties, advantages and disadvantages, creates the necessity of a systematic selection process. The authors in [1] investigate an algorithm that includes different ranking methods for material selection problem, suggesting the efficient use of any types of criteria and any number of alternatives. A model for material selection in the design process described in [2] uses group-generalized. The technique proposed in [3] integrates different multi-criteria decision-making (MCDM) approaches for selection of the most appropriate material for bio-oil conversion during pyrolysis, while the multi-objective optimization of the performance indexes is used for selection of phase change material
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