Digital twins are digital representations of physical products or systems that consist multiple models from various domains describing them on scales. By means communication, change and evolve together with their counterparts throughout lifecycle. Domain-specific partial make up the twin, such as CAD model degradation model, usually well known provide accurate descriptions certain parts asset. However, in complex systems, value integrating increases because it facilitates study behaviours...

With the intensive development and implementation of information communication technologies in manufacturing, large amounts heterogeneous data are now being generated, gathered stored. Handling complex – often referred to as big represents a challenge there many new approaches, methods, techniques, tools for analytics that open up possibilities exploiting by converting them into useful and/or knowledge.However, application advanced manufacturing lags behind terms penetration diversity...

In the context of advanced manufacturing, new models inspired by Internet technologies are being developed. The cloud manufacturing model strives to offer a similar experience for seekers services as computing does users web: clouds intend resources services, much like processing power and storage space available in computing. resulting business situation is favourable both service providers end-users, especially highly dynamic environment. Existing operate centralised way through platform,...

The aim of this paper is to contribute complex systems thinking in manufacturing organisations through the development a metric for operational complexity. Operational complexity concerned with temporal aspects coordination and control systems. Statistical from computational mechanics theory proposed as metric. can potentially be used support decision making by objective assessment properties are explored simulation studies. results confirm that captures intuitive notion It shown influenced...

Manufacturing data offers big potential for improving management of manufacturing operations. The paper addresses an approach to analytics in engineer-to-order (ETO) systems where the product quality and due-date reliability play a key role decisionmaking. objective research is investigate which are collected by execution system (MES) during operations ETO enterprise develop tools supporting scheduling developed can be used simulation production forecasting resource overloads.

Aesthetically pleasing and symmetrical breasts are the goal of reconstructive breast surgery. Sometimes, however, multiple procedures needed to improve a reconstructed breast's symmetry appearance. In order avoid additional corrective procedures, we have developed new method that uses reverse engineering technique produce what call replica cast (NBRC). The NBRC is mould contralateral healthy breast, designed according preoperative laser 3D images. During surgery, used help shape breast. With...

Strong operations support is one of the key requirements for competitive success modern manufacturing organisations. An important aspect Statistical Process Control (SPC); use statistical methods monitoring and control processes products. However, implementation SPC requires a certain amount knowledge understanding. Although this not an issue big companies (e.g. in automotive sector), smaller are unable to provide required in-house. In paper, service-driven approach proposed, which...

The complexity of manufacturing systems is increasing due to the increased requirements related variety and quality products, their complexity, general technological developments. In turn, data processes growing in size complexity. This presents new challenges for real-time monitoring, diagnostics, prognostics processes. are addressed by tools, methodologies, concepts, collectively referred as Big Data. paper deals with use advanced methods infrequent faults on available but highly...

Cyber-physical systems (CPSs) open up new perspectives for the design, development, implementation, and operation of manufacturing will enable a paradigm shift in manufacturing.The objective this research is to develop concept cyber-physical production (CPPSs) and, on basis, address issue management control, which crucial effective efficient systems.A model CPPS proposed.The integrates digitalized planning, scheduling, control functions with physical part system enables self-organization...

In this paper the concepts of advanced production systems based on challenges that bring new industrial revolution named -Industry 4.0 are presented.The presented concept socio-cyber-physical work is connecting social, cyber and physical working environments into a single functional, productive entity appointed elementary system.The system basic building block cyber-physical at manufacturing level.The enables autonomous decision-making cooperation in network possibility implementing proposed...

In manufacturing processes the automated identification of faulty operating conditions that might lead to insufficient product quality and reduced availability equipment is an important challenging task. This paper proposes a data mining approach complex faults, i.e. unplanned machine stops in plastic injection molding. Several methods are considered, with focus on abilities reveal patterns interpretation induced models objective find method best corresponds nature plastic-injection-molding...

A manufacturing system is a product, and has to be designed as any other product. Therefore, need for adequate methodological support tools modeling, structuring, control of the next generation systems recognized. In this study, adaptive distributed modeling framework collaborative design operations network presented. networks, several autonomous partners participate in dynamic system, its implementation, adaptation. context environment play vital role. The proposed introduces common space...