67 research outputs found
Complexity Measures and Models in Supply Chain Networks
No full text©2018 Vladimir Modrak et al. Tis is an open access article distributed under the Creative Commons Attribution (CC BY) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.fi=vertaisarvioimaton|en=nonPeerReviewed
Tiphys: An Open Networked Platform for Higher Education on Industry 4.0
No full textObjective of Tiphys project is building an Open Networked Platform for the learning of Industry 4.0 themes. The project will create a Virtual Reality (VR) platform, where users will be able to design and create a VR based environment for training and simulating industrial processes but they will be able to study and select among a set of models in order to standardize the learning and physical processes as a virtual representation of the real industrial world and the required interactions so that to acquire learning and training capabilities. The models will be structured in a modular approach to promote the integration in the existing mechanisms as well as for future necessary adaptations. The students will be able to co-create their learning track and the learning contents by collaborative working in a dynamic environment. The paper presents the development and validation of the learning model, built on CONALI learning ontology. The concepts of the ontology will be detailed and the platform functions will be demonstrated on selected use cases
Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems
No full textThis book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or equivalent national policies, and brings new challenges and opportunities for the companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but also as an important practice within organizations. The main focus of Industry 4.0 implementation is to combine production, information technology, and the internet. The presented Special Issue consists of ten research papers presenting the latest works in the field. The papers include various topics, which can be divided into three categories—(i) designing and scheduling manufacturing systems (seven articles), (ii) machining process optimization (two articles), (iii) digital insurance platforms (one article). Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. The above-mentioned groups of articles are briefly described in this order in this book
Shoe configurators: A comparative analysis of capabilities and benefits
No full textMass customizers (MCs) increasingly sell their products on the web through web-based sales configurators (WBSCs). This selling approach has proved beneficial to both MCs and their customers because, on the one hand, it facilitates the customization process and, on the other hand, it provides a real-time preview of the customized product. However, selling through WBSCs is challenging. Different WBSCs have different capabilities and, consequently, customers perceive different levels of benefits from both the configured products and the customization experience. The present work performs an analysis of state-of-the-art WBSCs for shoes and compares them with other fashion WBSCs in order to help companies and researchers to adopt or develop innovative approaches to enhancing WBSCs
PROMOTION OF EMPLOYMENT AMONG YOUTH – REMARKS FOR NEXT INITIATIVES
No full textIn the paper authors presets experience of Czestochowa University of Technology within collaboration with Czestochowa Business Incubator (CBI). In 2010, chosen staff of Czestochowa UT have been working within brand new Phare project “Promotion of employment among youth”. Because relatively high unemployment level among young people in Czestochowa city and region, the project has been implemented in order to help graduates to find their strengths and to advise in planning individual job track, to extend their job skills adequate to present and foreseen market needs, prepare them to the job interviews, prepare and help in starting own business. Authors also describes CBI’s other initiatives undertaken to increase number of new business set up by young people, especially
Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems
No full textThis book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or equivalent national policies, and brings new challenges and opportunities for the companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but also as an important practice within organizations. The main focus of Industry 4.0 implementation is to combine production, information technology, and the internet. The presented Special Issue consists of ten research papers presenting the latest works in the field. The papers include various topics, which can be divided into three categories—(i) designing and scheduling manufacturing systems (seven articles), (ii) machining process optimization (two articles), (iii) digital insurance platforms (one article). Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. The above-mentioned groups of articles are briefly described in this order in this book
A management system for sustainable lean implementation
No full textLean has become the leading method to pursue productivity improvement in Western companies. However, the rate of success of implementation in industry is overwhelmingly disappointing and not in line with the level of available documentation and support. This chapter describes a back to basics approach to Lean implementation, developed specifically for small- and medium-sized businesses (SMEs). This approach was developed out of many years of research, which is described succinctly. The chapter then delineates the framework of a management system, which uses standard Lean tools embedded in an IT data gathering system. This framework consists of 3 loops that provide the kind of information needed for a sustainable Lean implementation trajectory. Finally, the authors show how the system provides an answer to current gaps in Lean Management
Application of Axiomatic Design-based Complexity Measure in Mass Customization
No full textAbstractA frequent question with regards to product variety in terms of mass customization concerns searching for the optimum level of variety. One way to do so is through quantification of product variety. This paper proposes another approach to measure so called variety induced complexity. This measure is based on Axiomatic design theory and is derived from degree of disorder. The most important finding of this study is that the proposed Axiomatic design-based indicator brings more realistic values than absolute number of available product configurations
ALTERNATIVE CONSTRUCTIVE HEURISTIC ALGORITHM FOR PERMUTATION FLOW-SHOP SCHEDULING PROBLEM WITH MAKE-SPAN CRITERION
No full textIn this paper, a constructive heuristic algorithm is presented to solve deterministic flow-shop scheduling problem with make-span criterion. The algorithm is addressed to an m-machine and n-job permutation flow shop scheduling problem. This paper is composed in a way that the different scheduling approaches to solve flow shop scheduling problems are benchmarked. In order to compare the proposed algorithm against the benchmarked, selected heuristic techniques and genetic algorithm have been used. Results of experiments show that proposed algorithm gives better or at least comparable solutions than benchmarked constructive heuristic techniques. Finally, the average computational times (CPU time in ms) are compared for each size of the problem
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