Development of the Integrated Model of the Automotive Product Quality Assessment

Issues on building an integrated model of the automotive product quality assessment are studied herein basing on widely applicable methods and models of the quality assessment. A conceptual model of the automotive product quality system meeting customer requirements has been developed. Typical characteristics of modern industrial production are an increase in the production dynamism that determines the product properties; a continuous increase in the volume of information required for decision-making, an increased role of knowledge and high technologies implementing absolutely new scientific and technical ideas. To solve the problem of increasing the automotive product quality, a conceptual structural and hierarchical model is offered to ensure its quality as a closed system with feedback between the regulatory, manufacturing, and information modules, responsible for formation of the product quality at all stages of its life cycle. The three module model of the system of the industrial product quality assurance is considered to be universal and to give the opportunity to explore processes of any complexity while solving theoretical and practical problems of the quality assessment and prediction for products for various purposes, including automotive

SW development and HIL testing for engine monitoring module

Diplomová práce popisuje vývojovou techniku model based design a její použití pro návrh a testování algoritmů. Popis této techniky je proveden na příkladu praktického využití v praxi při vývoji modulu monitorování stavu motoru ve spolupráci se společností Unis. Vývoj v oblasti současné letecké techniky klade velký důraz na monitorování životnosti zařízení. Podle výstupů algoritmu se dají naplánovat preventivní opravy s ohledem na aktuální podmínky opotřebení a provozování. Implementace algoritmů je provedena v prostředí Matlab/Simulink s následným testováním na platformě dSpaceThe thesis describes Model Based Design process and it’s application for design and testing of algorithms. The description of this approach is done on example of practical application for development of the Engine Monitoring Module in collaboration with Unis company. The development of the aerospace industry nowadays is focused on continuous monitoring of equipment. The outputs of these algorithms can be used for planning the maintenance with respect to operative modes and conditions. Monitoring algorithms are implemented in Matlab/Simulink environment and are tested on dSpace platform.

Development and Design of Energy Efficient Oil-Flooded Screw Compressors

It is estimated that about 17% of the world's generated power is used for compression. Thus all, even minor improvement of the efficiency of compressors will substantially reduce CO2 emission. This paper presents development of family of energy efficient oil-flooded screw compressors for Kirloskar Pneumatic Company Ltd. The developmental techniques adopted to improve efficiency such as introduction of superior 'N' rotor profile, rotor clearance management, performance calculation using 3D CCM (Computational Continuum Mechanics), direct parametric interface to CAD (Computer Aided Design), which contains bearing selection for complete 3D solid modelling. Also, contemporary prototyping and experimental investigation is supported by the fully computerised data acquisition and processing. The cumulative improvement of all these elements of the design process resulted in a very efficient machine which guarantees the competitive position of Kirloskar Pneumatic Company Limited in the screw compressor market

Complex systems science: expert consultation report

Executive SummaryA new programme of research in Complex Systems Science must be initiated by FETThe science of complex systems (CS) is essential to establish rigorous scientific principles on which to develop the future ICT systems that are critical to the well-being, safety and prosperity of Europe and its citizens. As the “ICT incubator and pathfinder for new ideas and themes for long-term research in the area of information and communication technologies” FET must initiate a significant new programme of research in complex systems science to underpin research and development in ICT. Complex Systems Science is a “blue sky” research laboratory for R&D in ICT and their applications. In July 2009, ASSYST was given a set of probing questions concerning FET funding for ICT-related complex systems research. This document is based on the CS community’s response.Complex systems research has made considerable progress and is delivering new scienceSince FET began supporting CS research, considerable progress has been made. Building on previous understanding of concepts such as emergence from interactions, far-from-equilibrium systems, border of chaos and self-organised criticality, recent CS research is now delivering rigorous theory through methods of statistical physics, network theory, and computer simulation. CS research increasingly demands high-throughput data streams and new ICT-based methods of observing and reconstructing, i.e. modelling, the dynamics from those data in areas as diverse as embryogenesis, neuroscience, transport, epidemics, linguistics, meteorology, and robotics. CS research is also beginning to address the problem of engineering robust systems of systems of systems that can adapt to changing environments, including the perplexing problem that ICT systems are too often fragile and non-adaptive.Recommendation: A Programme of Research in Complex Systems Science to Support ICTFundamental theory in Complex Systems Science is needed, but this can only be achieved through real-world applications involving large, heterogeneous, and messy data sets, including people and organisations. A long-term vision is needed. Realistic targets can be set. Fundamental research can be ensured by requiring that teams include mathematicians, computer scientists, physicists and computational social scientists.One research priority is to develop a formalism for multilevel systems of systems of systems, applicable to all areas including biology, economics, security, transportation, robotics, health, agriculture, ecology, and climate change. Another related research priority is a scientific perspective on the integration of the new science with policy and its implementation, including ethical problems related to privacy and equality.A further priority is the need for education in complex systems science. Conventional education continues to be domain-dominated, producing scientists who are for the most part still lacking fundamental knowledge in core areas of mathematics, computation, statistical physics, and social systems. Therefore:1. We recommend that FET fund a new programme of work in complex systems science as essential research for progress in the development of new kinds of ICT systems.2. We have identified the dynamics of multilevel systems as the area in complex systems science requiring a major paradigm shift, beyond which significant scientific progress cannot be made.3. We propose a call requiring: fundamental research in complex systems science; new mathematical and computational formalisms to be developed; involving a large ‘guinea pig’ organisation; research into policy and its meta-level information dynamics; and that all research staff have interdisciplinary knowledge through an education programme.Tangible outcomes, potential users of the new science, its impact and measures of successUsers include (i) the private and public sectors using ICT to manage complex systems and (ii) researchers in ICT, CSS, and all complex domains. The tangible output of a call will be new knowledge on the nature of complex systems in general, new knowledge of the particular complex system(s) studied, and new knowledge of the fundamental role played by ICT in the research and implementation to create real systems addressing real-world problems. The impact of the call will be seen through new high added-value opportunities in the public and private sectors, new high added-value ICT technologies, and new high added-value science to support innovation in ICT research and development. The measure of success will be through the delivery of these high added-value outcomes, and new science to better understand failures

Visualising product-service system business models

Copyright © 2014. Copyright in each paper in this conference’s proceedings is the property of the author(s). Permission is granted to reproduce copies of these works for purposes relevant to the above conference, provided that the author(s), source and copyright notice are included on each copy. For other uses, including extended quotation, please contact the author(s).The paper addresses the issue of how to visualise innovative business models at various stages of the design and development process. The focus is on a particular type of business model, defined Product-Service Systems (PSSs), characterised by an integrated product-service offering, but can be generalised to other business model innovations. The paper presents a visualisation system based on a formalised business model ontology and a set of visualisation tools, and discusses how it can be used to enhance internal and external communication and improve dialogue and co-design activities inside the company and with external stakeholders

Problem solving and the co-ordination of innovative activities

In the context of increasingly globalized markets, ever more complex supply chains and international manufacturing networks, corporate decision-making processes involve more and more actors, variables and criteria. This is a challenge for corporate head quarters. Many have argued that the role once attributed to the integrated innovative organisation and its R&D laboratories is increasingly associated with the functioning of networks of specialised innovators. The aim of this paper is to argue that the role of large firms may have changed, but it is far from disappeared. It looks at the interplay of increasing knowledge specialisation, the development of products of increasing complexity that perform a widening range of functionalities, and the emergence and diffusion of new design strategies for both products and organisations, namely modularity. The emergence of modularity as a product and organisational design strategy is clearly connected to recent trends in organisational design. Modularity would allow the decoupling of complex artifacts into simpler, self-contained modules. Each module would, at the extreme, become the sole business of a specialised trade. This paper builds upon the idea that there are cognitive limits to this process of modularisation: what kinds of problems firms solve, and how they solve them, set limits to the extent of division of labour among firms. We draw implications of such limits for both management and economic theory.large firms, knowledge specialisation, complex products, modularity,

Eco‐Holonic 4.0 Circular Business Model to Conceptualize Sustainable Value Chain Towards Digital Transition

The purpose of this paper is to conceptualize a circular business model based on an Eco-Holonic Architecture, through the integration of circular economy and holonic principles. A conceptual model is developed to manage the complexity of integrating circular economy principles, digital transformation, and tools and frameworks for sustainability into business models. The proposed architecture is multilevel and multiscale in order to achieve the instantiation of the sustainable value chain in any territory. The architecture promotes the incorporation of circular economy and holonic principles into new circular business models. This integrated perspective of business model can support the design and upgrade of the manufacturing companies in their respective industrial sectors. The conceptual model proposed is based on activity theory that considers the interactions between technical and social systems and allows the mitigation of the metabolic rift that exists between natural and social metabolism. This study contributes to the existing literature on circular economy, circular business models and activity theory by considering holonic paradigm concerns, which have not been explored yet. This research also offers a unique holonic architecture of circular business model by considering different levels, relationships, dynamism and contextualization (territory) aspects

A proposed methodology for the design of decision support systems in operations management

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The purpose of this work is to attempt to develop a Decision Support System and a generalised Design Methodology, for the Operational Management of Industrial Organisations. The research subject has been selected as such, because although substantial research has been carried out on the technology of solving a specific problem with quantitative decision support tools such as Operations Research (OR) or Management Science (MS), there is a significant gap on the methodology of developing and implementing these techniques as a direct operational support tool. In recognition of operational managers' increasing needs for decision support tools and in a view of the slow progress and unsatisfactory use of OR/MS techniques, and the inability of Management Information systems to contribute to the operational decision support function, the research is set out to identify the shortcomings of existing practice, and to develop a system in the light of the resulting requirements. A multi-disciplinary approach is adopted for the development of the system and the methodology, which is based on a conceptual framework provided by cybernetics. Theories relating to the communication, regulation and coordination within a system, and to the interactive man-machine problem solving activities provide the basis for the methodology. The end product of the research is a System and a generalised Design Methodology for this system. The primary aims of the system are to co-ordinate the operational decision process throughout the organisation and to increase the effectiveness of the decision-making capacity of the operational managers. It is a microprocessor based modular system which is distributed to the operational decision makers. Functionally, it consists of a 'forward looking' information system which is dedicated to operational decision support, and quantitative decision models including OR/MS methods that are integrated with this system. The modular decision units are connected by this system

The governance of Singapore’s knowledge clusters: off shore marine business and waterhub

Based on two case studies of knowledge clusters (off shore marine/rig business and water hub) in Singapore, the paper illustrates the importance of good knowledge governance in creating robust and value-creating knowledge clusters. We begin by defining key terms used such as knowledge clusters, hubs and governance, followed by a short historical account of good knowledge governance for Singapore’s development. The two cases studies of knowledge clusters presented here include (i) the offshore oil rig business (Keppel) which we posit as an example of innovative value creation based on sophisticated fabrication methods and R&D as well as (ii) the island republic’s dynamic and rapidly emerging, global hydrohub called ‘WaterHub’. We examine the structural characteristics of both clusters, assess their progress based on the cluster lifecycle literature, highlight key governance enablers required to create and sustain such competitive hubs and draw conclusions for K4D latecomers