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 s...
OptiSolutions s.r.o. Prednáška: Využite dátového skladu pri riadení výroby
ERASMUS + STÁŽ výzva pre podávanie prihlášok
NIGHT OF CHANCES Univerzitná knižnica TUKE, Košice 21. november 2017
- Department of Automobile and Manufacturing Technologies
- Department of Computer Aided Manufacturing Technologies
- Department of Technical Systems Design and Monitoring
- Department of Process Engineering
- Department of Industrial Engineering and Informatics
- Department of Natural Sciences and Humanities
- Extension course in pedagogy
Publications and articles
Abstract System designers usually generate alternative configurations of supply chains (SCs) by varying especially fixed assets to satisfy a desired production scope and rate. Such alternatives often vary in associated costs and other facets including degrees of complexity. Hence, a measure of configuration complexity can be a tool for comparison and decision-making. This paper presents three approaches to assessment of configuration complexity and their applications to designing converg...
Abstract In this paper, we present a methodological framework for conceptual modeling of assembly supply chain (ASC) networks. Models of such ASC networks are divided into classes on the basis of the numbers of initial suppliers. We provide a brief overview of select literature on the topic of structural complexity in assembly systems. Subsequently, the so called Vertex degree index for measuring a structural complexity of ASC networks is applied. This measure, which is based on the Sha...
Journal on Manufacturing and Industrial Engineering (MIE) is devoted to all areas of manufacturing and industrial engineering. Focuses on advances in the field of (un)conventional manufacturing processes that are needed to gain industrial competitiveness with respect on sustainable development and preserving the environment.