Stochastic Modelling in Innovative Manufacturing

Stochastic Modelling in Innovative Manufacturing

PREFACE This monograph contains some of the papers presented at a UK-Japanese Workshop on Stochastic Modelling in Innovative Manufacturing held at Churchill College, Cambridge on July 20 and 21st 1995, sponsored jointly by the UK ...

Author: Anthony H. Christer

Publisher: Springer Science & Business Media

ISBN: 9783642591051

Category: Technology & Engineering

Page: 361

View: 762

This monograph contains some ofthe papers presented at a UK-Japanese Workshop on Stochastic Modelling in Innovative Manufacturing held at Churchill College, Cambridge on July 20 and 21st 1995, sponsored jointly by the UK Engineering and Physical Science Research Council and the British Council. Attending were 19 UK and 24 Japanese delegates representing 28 institutions. The aim of the workshop was to discuss the modelling work being done by researchers in both countries on the new activities and challenges occurring in manufacturing. These challenges have arisen because of the increasingly uncertain environment of modern manufacturing due to the commercial need to respond more quickly to customers demands, and the move to just-in-time manufacturing and flexible manufacturing systems and the increasing requirements for quality. As well as time pressure, the increasing importance of the quality of the products, the need to hold the minimum stock of components, and the importance of reliable production systems has meant that manufacturers need to design production systems that perform well in randomly varying conditions and that their operating procedures can respond to changes in conditions and requirements. This has increased the need to understand how manufacturing systems work in the random environments, and so emphasised the importance of stochastic models of such systems.
Categories: Technology & Engineering

Stochastic Modelling in Innovative Manufacturing

Stochastic Modelling in Innovative Manufacturing

The aim of the workshop was to discuss the modelling work being done by researchers in both countries on the new activities and challenges occurring in manufacturing.

Author: Anthony H. Christer

Publisher: Springer

ISBN: 354061768X

Category: Technology & Engineering

Page: 361

View: 994

This monograph contains some ofthe papers presented at a UK-Japanese Workshop on Stochastic Modelling in Innovative Manufacturing held at Churchill College, Cambridge on July 20 and 21st 1995, sponsored jointly by the UK Engineering and Physical Science Research Council and the British Council. Attending were 19 UK and 24 Japanese delegates representing 28 institutions. The aim of the workshop was to discuss the modelling work being done by researchers in both countries on the new activities and challenges occurring in manufacturing. These challenges have arisen because of the increasingly uncertain environment of modern manufacturing due to the commercial need to respond more quickly to customers demands, and the move to just-in-time manufacturing and flexible manufacturing systems and the increasing requirements for quality. As well as time pressure, the increasing importance of the quality of the products, the need to hold the minimum stock of components, and the importance of reliable production systems has meant that manufacturers need to design production systems that perform well in randomly varying conditions and that their operating procedures can respond to changes in conditions and requirements. This has increased the need to understand how manufacturing systems work in the random environments, and so emphasised the importance of stochastic models of such systems.
Categories: Technology & Engineering

Stochastic Modelling in Innovative Manufacturing

Stochastic Modelling in Innovative Manufacturing

The aim of the workshop was to discuss the modelling work being done by researchers in both countries on the new activities and challenges occurring in manufacturing.

Author: Anthony H. Christer

Publisher: Springer

ISBN: 354061768X

Category: Technology & Engineering

Page: 361

View: 658

This monograph contains some ofthe papers presented at a UK-Japanese Workshop on Stochastic Modelling in Innovative Manufacturing held at Churchill College, Cambridge on July 20 and 21st 1995, sponsored jointly by the UK Engineering and Physical Science Research Council and the British Council. Attending were 19 UK and 24 Japanese delegates representing 28 institutions. The aim of the workshop was to discuss the modelling work being done by researchers in both countries on the new activities and challenges occurring in manufacturing. These challenges have arisen because of the increasingly uncertain environment of modern manufacturing due to the commercial need to respond more quickly to customers demands, and the move to just-in-time manufacturing and flexible manufacturing systems and the increasing requirements for quality. As well as time pressure, the increasing importance of the quality of the products, the need to hold the minimum stock of components, and the importance of reliable production systems has meant that manufacturers need to design production systems that perform well in randomly varying conditions and that their operating procedures can respond to changes in conditions and requirements. This has increased the need to understand how manufacturing systems work in the random environments, and so emphasised the importance of stochastic models of such systems.
Categories: Technology & Engineering

Stochastic Models in Reliability and Maintenance

Stochastic Models in Reliability and Maintenance

... A. H., Wang, W., Sharp, J. and Baker, R. D. (1997), “A stochastic modelling problem of high-tech steel production,” in Stochastic Modelling in Innovative Manufacturing (Christer, A. H., Osaki, S. and Thomas, L. C. eds.).

Author: Shunji Osaki

Publisher: Springer Science & Business Media

ISBN: 9783540248088

Category: Mathematics

Page: 338

View: 533

Our daily lives can be maintained by the high-technology systems. Computer systems are typical examples of such systems. We can enjoy our modern lives by using many computer systems. Much more importantly, we have to maintain such systems without failure, but cannot predict when such systems will fail and how to fix such systems without delay. A stochastic process is a set of outcomes of a random experiment indexed by time, and is one of the key tools needed to analyze the future behavior quantitatively. Reliability and maintainability technologies are of great interest and importance to the maintenance of such systems. Many mathematical models have been and will be proposed to describe reliability and maintainability systems by using the stochastic processes. The theme of this book is "Stochastic Models in Reliability and Main tainability. " This book consists of 12 chapters on the theme above from the different viewpoints of stochastic modeling. Chapter 1 is devoted to "Renewal Processes," under which classical renewal theory is surveyed and computa tional methods are described. Chapter 2 discusses "Stochastic Orders," and in it some definitions and concepts on stochastic orders are described and ag ing properties can be characterized by stochastic orders. Chapter 3 is devoted to "Classical Maintenance Models," under which the so-called age, block and other replacement models are surveyed. Chapter 4 discusses "Modeling Plant Maintenance," describing how maintenance practice can be carried out for plant maintenance.
Categories: Mathematics

Stochastic Reliability and Maintenance Modeling

Stochastic Reliability and Maintenance Modeling

UK-Japanese Research Workshop on Stochastic Modelling in Innovative Manufacturing in 1995 — Euro-Japanese Workshops on Stochastic Risk Modelling for Finance, Insurance, Production and Reliability in 1998 and 2002 — International ...

Author: Tadashi Dohi

Publisher: Springer Science & Business Media

ISBN: 9781447149712

Category: Technology & Engineering

Page: 360

View: 103

In honor of the work of Professor Shunji Osaki, Stochastic Reliability and Maintenance Modeling provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. Including associated application areas such as dependable computing, performance evaluation, software engineering, communication engineering, distinguished researchers review and build on the contributions over the last four decades by Professor Shunji Osaki. Fundamental yet significant research results are presented and discussed clearly alongside new ideas and topics on stochastic reliability and maintenance modeling to inspire future research. Across 15 chapters readers gain the knowledge and understanding to apply reliability and maintenance theory to computer and communication systems. Stochastic Reliability and Maintenance Modeling is ideal for graduate students and researchers in reliability engineering, and workers, managers and engineers engaged in computer, maintenance and management works.
Categories: Technology & Engineering

Stochastic Reliability Modeling Optimization and Applications

Stochastic Reliability Modeling  Optimization and Applications

UK-Japanese Workshop on Stochastic Modeling in Innovative Manufacturing, July 20–21, 1995, Cambridge, UK. • The Second Australia-Japan Workshop on Stochastic Models in Engineering, Technologies and Management, July 17–19, 1996, ...

Author: Syouji Nakamura

Publisher: World Scientific

ISBN: 9789814277433

Category: Mathematics

Page: 300

View: 162

"Reliability theory and applications become major concerns of engineers and managers engaged in making high quality products and designing highly reliable systems. This book aims to survey new research topics in reliability theory and useful applied techniques in reliability engineering." "The reader will learn new topics and techniques, and how to apply reliability models to actual ones. The book will serve as an essential guide to a subject of study for graduate students and researchers and as a useful guide for reliability engineers engaged not only in maintenance work but also in management and computer works." --Book Jacket.
Categories: Mathematics

Stochastic Programming

Stochastic Programming

Other Books and Collections Containing Some Material on Stochastic Programming Arkin, V. I., and I. V. Evstigneev. Stochastic Models of Control and Economic Dynamics. ... Stochastic Modelling in Innovative Manufacturing.

Author: Horand Gassmann

Publisher: World Scientific

ISBN: 9789814407519

Category: Decision making

Page: 549

View: 119

This book shows the breadth and depth of stochastic programming applications. All the papers presented here involve optimization over the scenarios that represent possible future outcomes of the uncertainty problems. The applications, which were presented at the 12th International Conference on Stochastic Programming held in Halifax, Nova Scotia in August 2010, span the rich field of uses of these models. The finance papers discuss such diverse problems as longevity risk management of individual investors, personal financial planning, intertemporal surplus management, asset management with benchmarks, dynamic portfolio management, fixed income immunization and racetrack betting. The production and logistics papers discuss natural gas infrastructure design, farming Atlantic salmon, prevention of nuclear smuggling and sawmill planning. The energy papers involve electricity production planning, hydroelectric reservoir operations and power generation planning for liquid natural gas plants. Finally, two telecommunication papers discuss mobile network design and frequency assignment problems.
Categories: Decision making

Stochastic Models Statistics and Their Applications

Stochastic Models  Statistics and Their Applications

Modelling in innovative manufacturing, Moller Centre, Churchill College, Univ. Cambridge, UK, 21–22 July, 1995. LN in Econ and Math Sys, vol 445. Springer, Cambridge, pp 68–80 Szajowski K (2011) Multi-variate quickest detection of ...

Author: Ansgar Steland

Publisher: Springer

ISBN: 9783319138817

Category: Mathematics

Page: 492

View: 613

This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering. Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in areas of application such as the natural sciences, information technology, engineering, image analysis, genetics, energy and finance, to name but a few. This collection arises from the 12th Workshop on Stochastic Models, Statistics and Their Applications, Wroclaw, Poland.
Categories: Mathematics

Enterprise Information Systems

Enterprise Information Systems

Fourer, R., Gay, D.M., Kernighan, B.W.: AMPL: A Modeling Language For Mathematical Programming. Brooks/Cole-Thomson Learning, Pacific Grove, ... Stochastic Modelling in Innovative Manufacturing, pp. 81–96. Springer, Berlin (1997) 5.

Author: Joaquim Filipe

Publisher: Springer Science & Business Media

ISBN: 9783642013478

Category: Business & Economics

Page: 991

View: 605

This book contains the collection of full papers accepted at the 11th International Conference on Enterprise Information Systems (ICEIS 2009), organized by the Ins- tute for Systems and Technologies of Information Control and Communication (INSTICC) in cooperation with the Association for Advancement of Artificial Intel- gence (AAAI) and ACM SIGMIS (SIG on Management Information Systems), and technically co-sponsored by the Japanese IEICE SWIM (SIG on Software Interprise Modeling) and the Workflow Management Coalition (WfMC). ICEIS 2009 was held in Milan, Italy. This conference has grown to become a - jor point of contact between research scientists, engineers and practitioners in the area of business applications of information systems. This year, five simultaneous tracks were held, covering different aspects related to enterprise computing, including: “- tabases and Information Systems Integration,” “Artificial Intelligence and Decision Support Systems,” “Information Systems Analysis and Specification,” “Software Agents and Internet Computing” and “Human–Computer Interaction”. All tracks describe research work that is often oriented toward real-world applications and hi- light the benefits of information systems and technology for industry and services, thus making a bridge between academia and enterprise. ICEIS 2009 received 644 paper submissions from 70 countries in all continents; 81 papers were published and presented as full papers, i.e., completed research work (8 pages/30-minute oral presentation). Additional papers accepted at ICEIS, including short papers and posters, were published in the regular conference proceedings.
Categories: Business & Economics

Robust Manufacturing Control

Robust Manufacturing Control

Shaker (2004) 18. Kingsman, B.G.: Input/output backlog control and dynamic capacity planning in versatile manufacturing companies. In: Christer, A.H., Osaki, S., Thomas, L.C. (eds.) Stochastic Modelling in Innovative Manufacturing, pp.

Author: Katja Windt

Publisher: Springer Science & Business Media

ISBN: 9783642307492

Category: Technology & Engineering

Page: 554

View: 684

This contributed volume collects research papers, presented at the CIRP Sponsored Conference Robust Manufacturing Control: Innovative and Interdisciplinary Approaches for Global Networks (RoMaC 2012, Jacobs University, Bremen, Germany, June 18th-20th 2012). These research papers present the latest developments and new ideas focusing on robust manufacturing control for global networks. Today, Global Production Networks (i.e. the nexus of interconnected material and information flows through which products and services are manufactured, assembled and distributed) are confronted with and expected to adapt to: sudden and unpredictable large-scale changes of important parameters which are occurring more and more frequently, event propagation in networks with high degree of interconnectivity which leads to unforeseen fluctuations, and non-equilibrium states which increasingly characterize daily business. These multi-scale changes deeply influence logistic target achievement and call for robust planning and control strategies. Therefore, understanding the cause and effects of multi-scale changes in production networks is of major interest. New methodological approaches from different science disciplines are promising to contribute to a new level comprehension of network processes. Unconventional methods from biology, perturbation ecology or auditory display are gaining increasing importance as they are confronted with similar challenges. Advancements from the classical disciplines such as mathematics, physics and engineering are also becoming of continuing importance.
Categories: Technology & Engineering

Maintenance Theory of Reliability

Maintenance Theory of Reliability

Christer AH, Osaki S, Thomas LC (eds) (1997) Stochastic Modelling in Innovative Manufacturing. Lecture Notes in Economics and ... Rahin MA, Ben-Daya M (2001) Integrated Models in Production Planning, Inventory, Quality, and Maintenance.

Author: Toshio Nakagawa

Publisher: Springer Science & Business Media

ISBN: 9781846282218

Category: Technology & Engineering

Page: 270

View: 775

Many serious accidents have happened in the world where systems have been large-scale and complex, and have caused heavy damage and a social sense of instability. Furthermore, advanced nations have almost ?nished public inf- structureandrushedintoamaintenanceperiod.Maintenancewillbemore- portant than production, manufacture, and construction, that is, more ma- tenance for environmental considerations and for the protection of natural resources. From now on, the importance of maintenance will increase more and more. In the past four decades, valuable contributions to maintenance policies in reliability theory have been made. This book is intended to s- marize the research results studied mainly by the author in the past three decades. The book deals primarily with standard to advanced problems of main- nance policies for system reliability models. System reliability can be mainly improved by repair and preventive maintenance, and replacement, and rel- bility properties can be investigated by using stochastic process techniques. The optimum maintenance policies for systems that minimize or maximize appropriate objective functions under suitable conditions are discussed both analytically and practically. The book is composed of nine chapters. Chapter 1 is devoted to an int- duction to reliability theory, and brie?y reviews stochastic processes needed for reliability and maintenance theory. Chapter 2 summarizes the results of repair maintenance, which is the most basic maintenance in reliability. The repair maintenance of systems such as the one-unit system and multiple-unit redundant systems is treated. Chapters 3 through 5 summarize the results of three typical maintenance policies of age, periodic, and block replacements.
Categories: Technology & Engineering

Shock and Damage Models in Reliability Theory

Shock and Damage Models in Reliability Theory

In:Osaki S (ed) Stochastic Modelling in Innovative Manufacturing, Springer Lecture Notes in Economics and Mathematical Systems 445:188–195. 136. Qian CH, Ito K, Nakagawa T (2005) Optimal preventive maintenance policies for a shock model ...

Author: Toshio Nakagawa

Publisher: Springer Science & Business Media

ISBN: 9781846284427

Category: Technology & Engineering

Page: 188

View: 601

This is the first monograph which presents shock and damage models in reliability from introduction to application. Stochastic processes are introduced before current developments are surveyed. The practical applications of shock and damage models are demonstrated using case studies. The author is a leading researcher in this field with more than thirty years of experience. Reliability engineers and managers of maintenance work will find this book a broad reference.
Categories: Technology & Engineering

Complex Engineering Service Systems

Complex Engineering Service Systems

6, 67–83 (1995) A.H. Christer, W. Wang, J.M. Sharp, R.D. Baker, A stochastic modeling problem of high-tech steel production plant, in Stochastic modelling in innovative manufacturing. Lecture notes in economics and ...

Author: Irene Ng

Publisher: Springer Science & Business Media

ISBN: 9780857291899

Category: Technology & Engineering

Page: 470

View: 895

For manufacturers of complex engineering equipment, the focus on service and achieving outcomes for customers is the key to growth. Yet, the capability to provide service for complex engineered products is less understood. Taking a trans-disciplinary approach, Complex Engineering Service Systems covers various aspects of service in complex engineering systems, with perspectives from engineering, management, design, operations research, strategy, marketing and operations management that are relevant to different disciplines, organisation functions, and geographic locations. The focus is on the many facets of complex engineering service systems around a core integrative framework of three value transformations – that of material/equipment, information and people. Complex Engineering Service Systems is the outcome of the EPSRC/BAE Systems S4T (Service Support Solutions: Strategy and Transition) research programme of 10 universities and 27 researchers, which examined how high-value manufacturers of complex engineering products adapt to a multi-partnered environment to design and deliver value in a service system. Complex Engineering Service Systems aims to be the main source of knowledge for academics and professionals in the research and practice of contracting, managing, designing, leading, and delivering complex engineering service systems. The book takes a value-based approach to integrating equipment and human factors into a total service provision. In doing so, it aims to advance the field of service systems and engineering.
Categories: Technology & Engineering

Case Studies in Reliability and Maintenance

Case Studies in Reliability and Maintenance

conclusion would not be known without modeling support, nor would the extent of defective inspection and repair, ... A Stochastic Modelling Problem of High-Tech Steel Production, in Stochastic Modelling in Innovative Manufacturing ...

Author: Wallace R. Blischke

Publisher: John Wiley & Sons

ISBN: 9780471458739

Category: Mathematics

Page: 696

View: 148

Introducing a groundbreaking companion book to a bestsellingreliability text Reliability is one of the most important characteristicsdefining the quality of a product or system, both for themanufacturer and the purchaser. One achieves high reliabilitythrough careful monitoring of design, materials and other input,production, quality assurance efforts, ongoing maintenance, and avariety of related decisions and activities. All of these factorsmust be considered in determining the costs of production,purchase, and ownership of a product. Case Studies in Reliability and Maintenance servesas a valuable addition to the current literature on the subject ofreliability by bridging the gap between theory and application.Conceived during the preparation of the editors' earlier work,Reliability: Modeling, Prediction, and Optimization (Wiley, 2000),this new volume features twenty-six actual case studies written bytop experts in their fields, each illustrating exactly howreliability models are applied. A valuable companion book to Reliability: Modeling,Prediction, and Optimization, or any other textbook on thesubject, the book features: Case studies from fields such as aerospace, automotive, mining,electronics, power plants, dikes, computer software, weapons,photocopiers, industrial furnaces, granite building cladding,chemistry, and aircraft engines A logical organization according to the life cycle of a productor system A unified format of discussion enhanced by tools, techniques,and models for drawing one's own conclusions Pertinent exercises for reinforcement of ideas Of equal value to both students of reliability theory as well asprofessionals in industry, Case Studies in Reliability andMaintenance should be required reading for anyone seekingto understand how reliability and maintenance issues can beaddressed and resolved in the real world.
Categories: Mathematics

Quick Response in the Supply Chain

Quick Response in the Supply Chain

(1993) Production Planning via Scenario Modeling, Annals of Operations Research, Vol.43, pp. ... Strategic Planning Problem, in: A.H. Christer, S. Osaki and L.C. Thomas (Eds.) Stochastic Modelling in Innovative Manufacturing, pp. 81-96.

Author: Eleni Hadjiconstantinou

Publisher: Springer Science & Business Media

ISBN: 9783642599972

Category: Business & Economics

Page: 188

View: 935

Successful supply chain management is a source of competitive advantage in today's dynamic business environment. Relevant issues both at the strategic and operational levels of decision-making are considered in this book which provides the reader with an up-to-date analysis of the latest theoretical and practical trends in supply chain management. Using a variety of case-studies from different industry sectors, the book examines the various components of the supply chain, analyses the trade-offs that exist in achieving integration, and explores issues of organisation and implementation.
Categories: Business & Economics

Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains

Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains

His innovative use of stochastic models to explain many phenomena occurring in manufacturing organizations characterizes him, not only as a great researcher but also as a great teacher. For his many achievements in the field, ...

Author: J. George Shanthikumar

Publisher: Springer Science & Business Media

ISBN: 9781461503736

Category: Business & Economics

Page: 411

View: 123

This volume originates from two workshops, both focusing on themes that are reflected in the title of the volume. The first workshop took place at Eindhoven University of Technology, April 24-26, 2001, on the occasion of the University granting a doctorate honoris causa to Profes sor John A. Buzacott. The second workshop was held on June 15, 2002 at Cornell University (preceding the annual INFORMSjMSOM Confer ence), honoring John's retirement and his lifetime contributions. Each of the two workshops consisted of about a dozen technical presentations. The objective of the volume, however, is not to simply publish the proceedings of the two workshops. Rather, our objective is to put to gether a select set of articles, each organized into a well-written chapter, focusing on a timely topic. Collected into a single volume, these chapters aim to serve as a useful reference for researchers and practitioners alike, and also as reading materials for graduate courses or seminars.
Categories: Business & Economics

Recent Advances in Stochastic Operations Research

Recent Advances in Stochastic Operations Research

T. Nakai, An Optimal Selection Problem on a Partially Observable Markov process, In Stochastic Modelling in Innovative Manufacturing, Lecture Notes in Economics and Mathematical Systems 445, (Eds. A. H. Christer, S. Osaki and L. C. ...

Author:

Publisher:

ISBN: 9789814478380

Category:

Page:

View: 889

Categories:

Recent Advances In Stochastic Operations Research Ii

Recent Advances In Stochastic Operations Research Ii

T. Nakai, An Optimal Selection Problem on a Partially Observable Markov process, In Stochastic Modelling in Innovative Manufacturing, Lecture Notes in Economics and Mathematical Systems 445, (Eds. A. H. Christer, S. Osaki and L. C. ...

Author: Tadashi Dohi

Publisher: World Scientific

ISBN: 9789814471848

Category: Business & Economics

Page: 312

View: 722

Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers. Two key concepts in such research are optimization and uncertainty. Typical models in stochastic operations research include queueing models, inventory models, financial engineering models, reliability models, and simulation models. This book contains a collection of peer-reviewed papers from the International Workshop on Recent Advances in Stochastic Operations Research (2007 RASOR Nanzan) held on March 5-6, 2007, at Nanzan University, Nagoya, Japan. It enables advanced readers to understand the recent topics and results in stochastic operations research.
Categories: Business & Economics

Advances in Production Management Systems Innovative Production Management Towards Sustainable Growth

Advances in Production Management Systems  Innovative Production Management Towards Sustainable Growth

The literature on correlations in project schedules is limited, mainly due to the analytical models' limitations in handling complex uncertainty and dependency patterns. Numerical stochastic programming approaches show to offer the ...

Author: Shigeki Umeda

Publisher: Springer

ISBN: 9783319227597

Category: Computers

Page: 659

View: 435

The two volumes IFIP AICT 459 and 460 constitute the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2015, held in Tokyo, Japan, in September 2015. The 163 revised full papers were carefully reviewed and selected from 185 submissions. They are organized in the following topical sections: collaborative networks; globalization and production management; knowledge based production management; project management, engineering management, and quality management; sustainability and production management; co-creating sustainable business processes and ecosystems; open cloud computing architecture for smart manufacturing and cyber physical production systems; the practitioner's view on "innovative production management towards sustainable growth"; the role of additive manufacturing in value chain reconfiguration and sustainability; operations management in engineer-to-order manufacturing; lean production; sustainable system design for green products; cloud-based manufacturing; ontology-aided production - towards open and knowledge-driven planning and control; product-service lifecycle management: knowledge-driven innovation and social implications; and service engineering.
Categories: Computers

Innovation in Manufacturing Networks

Innovation in Manufacturing Networks

Choi H, Kulkarni, V., Trivedi, K. Markov Regenerative Stochastic Petri Nets. Performance Evaluation 1995, 21. 5. Cox, DR and Miller, HD, The Theory of Stochastic Processes, Chapman and Hall, London, UK, 1965.

Author: Américo Azevedo

Publisher: Springer

ISBN: 9780387094922

Category: Computers

Page: 364

View: 191

Innovation in Manufacturing Networks A fundamental concept of the emergent business, scientific and technological paradigms ces area, innovation the ability to apply new ideas to products, processes, organizational practices and business models - is crucial for the future competitiveness of organizations in a continually increasingly globalised, knowledge-intensive marketplace. Responsiveness, agility as well as the high performance of manufacturing systems is responsible for the recent changes in addition to the call for new approaches to achieve cost-effective responsiveness at all the levels of an enterprise. Moreover, creating appropriate frameworks for exploring the most effective synergies between human potential and automated systems represents an enormous challenge in terms of processes characterization, modelling, and the development of adequate support tools. The implementation and use of Automation Systems requires an ever increasing knowledge of enabling technologies and Business Practices. Moreover, the digital and networked world will surely trigger new business practices. In this context and in order to achieve the desired effective and efficiency performance levels, it is crucial to maintain a balance between both the technical aspects and the human and social aspects when developing and applying new innovations and innovative enabling technologies. BASYS conferences have been developed and organized so as to promote the development of balanced automation systems in an attempt to address the majority of the current open issues.
Categories: Computers