Rethinking the Process of Operational Research and Systems Analysis
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Systems Thinking: Managing Chaos and Complexity This Page Intentionally Left Blank Systems Thinking: Managing Chaos and Complexity
Systems Thinking: Managing Chaos and Complexity This Page Intentionally Left Blank Systems Thinking: Managing Chaos and Complexity A Platform for Designing Business Architecture SECOND EDITION Jamshid Gharajedaghi AMSTERDAM • BOSTON • HEIDELBERG • LONDON NEW YORK • OXFORD • PARIS • SAN DIEGO SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO Butterworth-Heinemann is an imprint of Elsevier Butterworth-Heinemann is an imprint of Elsevier 30 Corporate Drive, Suite 400, Burlington, MA 01803, USA 525 B Street, Suite 1900, San Diego, California 92101-4495, USA 84 Theobald's Road, London WC1X 8RR, UK This book is printed on acid-free paper. Copyright © 2006, Elsevier Inc. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Permissions may be sought directly from Elsevier’s Science & Technology Rights Department in Oxford, UK: phone: (+44) 1865 843830, fax: (+44) 1865 853333, E-mail: [email protected]. You may also complete your request on-line via the Elsevier homepage (http://elsevier.com), by selecting “Support & Contact” then “Copyright and Permission” and then “Obtaining Permissions.” Library of Congress Cataloging-in-Publication Data Gharajedaghi, Jamshid. Systems thinking : managing chaos and complexity : a platform for designing business architecture / Jamshid Gharajedaghi. p. cm. Includes bibliographical references and index. ISBN 0-7506-7163-7 (alk. paper) 1. System analysis. 2. Chaotic behavior in systems. 3. Industrial management. 4. Technological complexity. I. Title. T57.6.G52 1999 003—dc21 98-55939 British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library. -
An Overview of the Soft Systems Methodology Stuart Burge
System Thinking: Approaches and Methodologies An Overview of the Soft Systems Methodology Stuart Burge The Soft Systems Methodology (SSM) was born out of research conducted at Lancaster University to apply Systems Engineering approaches to solve “management/business problems”. In other words they attempted to apply a Hard Systems approach to fix business problems. What they discovered was the approach often stumbled at the first step of problem definition. This happens quite simply because the different stakeholders have divergent views on what constitutes the system, the purpose of the system and therefore the problem. Two key players in the development of the SSM are Peter Checkland [1999] and Brian Wilson [2001] who through “action research” were able to put together a practical and pragmatic approach to the identification and solution of “soft” ill-defined problems. This methodology was more than just a process; Checkland and Wilson also developed a set of tools to help users carry out the steps. These include: • Rich Picture • Conceptual Model • CATWOE • Formal Systems Model More on these later because, at this point, I would like to focus on the approach. Figure 1 presents a view of the SSM. Since its origin back in 1970’s and 80’s it has changed as various workers have added their bit. Figure 1 shows a 7-step process approach to SSM. I have chosen this view, that while it is an early representation, it does allow several key and important aspects of SSM to be made clear. Figure 1: The 7 Step Soft Systems Methodology © Burge Hughes Walsh 2015 page 1 System Thinking: Approaches and Methodologies Before launching into detail about the 7-steps it is worthwhile explaining the overall philosophy behind SSM. -
Consciousness and Its Evolution: from a Human Being to a Post-Human
Uniwersytet Marii Curie-Skłodowskiej w Lublinie Wydział Filozofii i Socjologii Taras Handziy Consciousness and Its Evolution: From a Human Being to a Post-Human Rozprawa doktorska napisana pod kierunkiem dr hab. Zbysława Muszyńskiego, prof. nadzw. UMCS Lublin 2014 Table of Contents Introduction ………………………………………………………………………………………. 8 Chapter 1: Consciousness, Mind, and Body …………………………………………………… 18 1.1 Conceptions of Consciousness …………………………………………………………. 18 1.1.1 Colin McGinn’s Conception of Consciousness ……………………………………….... 18 1.1.1.1 Owen Flanagan’s Analysis of Colin McGinn’s Conception of Consciousness ….…….. 20 1.1.2 Paola Zizzi’s Conception of Consciousness ………………………………………….… 21 1.1.3 William James’ Stream of Consciousness ……………………………………………… 22 1.1.4 Ervin Laszlo’s Conception of Consciousness …………………………………………... 22 1.2 Consciousness and Soul ………………………………………...………………………. 24 1.3 Problems in Definition of Consciousness ………………………………………………. 24 1.4 Distinctions between Consciousness and Mind ………………………………………... 25 1.5 Problems in Definition of Mind ………………………………………………………… 26 1.6 Dogmatism in Mind and Mind without Dogmatism ……………………………………. 27 1.6.1 Dogmatism in Mind …………………………………………………………………….. 27 1.6.2 Mind without Dogmatism …………………………………………………………….… 28 1.6.3 Rupert Sheldrake’s Dogmatism in Science …………………………………………….. 29 1.7 Criticism of Scientific Approaches towards Study of Mind ……………….…………… 30 1.8 Conceptions of Mind …………………………………………………………………… 31 1.8.1 Rupert Sheldrake’s Conception of Extended Mind …………………………………….. 31 1.8.2 Colin McGinns’s Knowing and Willing Halves of Mind ……………………………..... 34 1.8.3 Francisco Varela’s, Evan Thompson’s, and Eleanor Rosch’s Embodied Mind ………... 35 1.8.4 Andy Clark’s Extended Mind …………………………………………………………... 35 1.8.5 Role of Mind Understood by Paola Zizzi ………………………………………………. 36 1.9 Mind in Buddhism, Consciousness in Tibetan Buddhism ……………………………… 36 1.9.1 Mind in Buddhism ……………………………………………………………………… 36 1.9.2 B. -
A Review of Problem Structuring Methods for Consideration in Prognostics and Smart Manufacturing
A Review of Problem Structuring Methods for Consideration in Prognostics and Smart Manufacturing Patrick T. Hester 1, Andrew J. Collins 2, Barry Ezell 2, John Horst 3 1 Department of Engineering Management & Systems Engineering, Old Dominion University, Norfolk, VA 23529 [email protected] 2 Virginia Modeling, Analysis, and Simulation Center, Old Dominion University, Suffolk, VA 23435 3 Engineering Laboratory, National Institute for Standards and Technology (NIST), Gaithersburg, MA 20899 ABSTRACT environments has been exacerbated in recent years. “Modern engineering systems and manufacturing processes Successful use of prognostics involves the prediction of are becoming increasingly complex, and are operating in future system behaviors in an effort to maintain system highly dynamic environments. Thus, sustaining the availability and reduce the cost of maintenance and repairs. reliability of such systems is becoming a more complex and Recent work by the National Institute of Standards and challenging requirement” (Lee, Ghaffari, & Elmeligy, 2011, Technology indicates that the field of prognostics and health p. 111). Prognostics and health management, specifically for management is vital for remaining competitive in today’s smart manufacturing, is a promising area of research as a manufacturing environment. While prognostics-based means for maintaining complex system reliability and for maintenance involves many traditional operations research- helping to make the U.S. succeed globally; however, it has centric challenges for successful deployment such as limited yet to be universally embraced due to a number of factors availability of information and concerns regarding that will be discussed later in this paper. We argue that computational efficiency, the authors argue in this paper that prognostics and health management requires a the field of prognostics and health management, still in its preprocessing step, known as problem structuring, in order embryonic development stage, could benefit greatly from to allow it to reach its full potential. -
On the Evolution of Systems
Evolution Of Systems Michel Lecoq iTER - Belgium tel. : + 32 4 278 1008 fax.: + 32 4 278 1009 [email protected] Introduction This article is an attempt to formalize my thoughts about the evolution of products or of systems in general. It does not contain anything new. To the contrary, it just applies the assumption that "somebody somewhere has solved a problem like mine". Altshuller proposed "trends of evolution" that are presently expanded by many authors in the TRIZ literature. In his book, Darrell Mann (1) has 31 of these trends. They are observations of the evolutions of objects. This part of TRIZ does not satisfy me. It looks more like a collection of examples of the use of some TRIZ principles (e.g. The trend of "space segmentation" or the trend of "object segmentation" show the segmentation principle at different levels in a solid). This article tries to show TRIZ practitioners other attempts to approach the evolution with the hope that somebody will once formulate a coherent theory or at least a coherent guideline. After introducing the general modeling of systems, the article draws from the evolution of living systems to show some conclusions useful for the TRIZ practitioner. The way we look at the evolution of products has also an impact on the way we model the objects and their functions. Therefore, the article ends with some comments about modeling. First part: Modeling the general system System theory is a "theory" that started in the 1920's and was developed mainly from 1950 to 1980. It is a kind of reaction to the Cartesian or scientist thinking of most of the technicians. -
Evaluation of the Vocational Training System in Qatar's Public Sector
Evaluation of the Vocational Training System in Qatar’s Public Sector Hamad Al-Kaabi In Partial fulfilment of the requirements for the Doctor of Degree of Philosophy Cardiff Metropolitan University February 2020 Abstract The concept of policing a state has had to undergo a change of mindset due to the global nature of today’s world. There was anecdotal evidence that the training was outdated and did not take into account the cross-cultural differences that exist in Qatar. This study investigates this hypothesis and evaluates the quality of training at the Police Training Institute in Qatar After conducting an exhaustive literature review covering cross cultural differences, systems thinking and different delivery methods a methodological evaluation of public sector training was conducted using the Soft Systems Methodology of Professor Peter Checkland. The key findings to come out of the SSM Analysis were: the police training did not meet the participants’ expectations, course content failed to provide trainees with new skills, the delivery of the courses lacks interaction and courses were not useful or challenging. A conceptual model was developed that dealt with: new content cultural differences and; new delivery methods A new course was designed, delivered, tested and evaluated. This was a course on Systems Thinking. Also, an App was designed for mobile phones which enabled the course to be delivered in a more modern manner which used the concept of social media. The final analysis showed that the Systems Thinking ideas were well received and more courses need to be designed at all levels. It suggested that there is a future for mobile technology in training and it encouraged organizations to experiment with this form of delivery. -
1 Umpleby Stuart Reconsidering Cybernetics
UMPLEBY STUART RECONSIDERING CYBERNETICS The field of cybernetics attracted great attention in the 1950s and 1960s with its prediction of a Second Industrial Revolution due to computer technology. In recent years few people in the US have heard of cybernetics (Umpleby, 2015a, see Figures 1 and 2 at the end of Paper). But a wave of recent books suggests that interest in cybernetics is returning (Umpleby and Hughes, 2016, see Figure at the end of Paper). This white paper reviews some basic ideas in cybernetics. I recommend these and other ideas as a resource for better understanding and modeling of social systems, including threat and response dynamics. Some may claim that whatever was useful has already been incorporated in current work generally falling under the complexity label, but that is not the case. Work in cybernetics has continued with notable contributions in recent years. Systems science, complex systems, and cybernetics are three largely independent fields with their own associations, journals and conferences (Umpleby, 2017). Four types of descriptions used in social science After working in social science and systems science for many years I realized that different academic disciplines use different basic elements. Economists use measurable variables such as price, savings, GDP, imports and exports. Psychologists focus on ideas, concepts and attitudes. Sociologists and political scientists focus on groups, organizations, and coalitions. Historians and legal scholars emphasize events and procedures. People trained in different disciplines construct different narratives using these basic elements. One way to reveal more of the variety in a social system is to create at least four descriptions – one each using variables, ideas, groups, and events (See the figures and tables in Medvedeva & Umpleby, 2015). -
Soft Systems Methodology (SSM)
Page 1 of 8 Soft systems methodology 4.1 introduction: Soft systems methodology (SSM) is a systemic approach for tackling real-world problematic situations.[1] Soft Systems Methodology is the result of the continuing action research that Peter Checkland,[2] Brian Wilson,[3] and many others[4] have conducted over 30 years, to provide a framework for users to deal with the kind of messy problem situations that lack a formal problem definition.[5][6] Soft systems methodology Soft systems methodology (SSM) is a systemic approach for tackling real-world problematic situations.[1] Soft Systems Methodology is the result of the continuing action research that Peter Checkland,[2] Brian Wilson,[3] and many others[4] have conducted over 30 years, to provide a framework for users to deal with the kind of messy problem situations that lack a formal problem definition.[5][6] Overview It is a common misunderstanding that SSM is a methodology for dealing solely with ‘soft problems’ (i.e., problems which involve psychological, social, and cultural elements). SSM does not differentiate between ‘soft’ and ‘hard’ problems, it merely provides a different way of dealing with situations perceived as problematic. The ‘hardness’ or ‘softness’ is not the intrinsic quality of the problem situation to be addressed, it is an aspect of the way those involved address the situation. Each situation perceived as problematic has both ‘hard’ and ‘soft’ elements. The very notion of a problem is contingent on a human being perceiving it as such. e.g. One man's terrorist is another man's freedom fighter. SSM distinguishes itself from hard systems approaches in the way it deals with the notion of ‘system.’ Common to hard systems approaches is an understanding of systems as ontological entities, i.e., entities existing in the real world. -
82 Chapter IV Niklas Luhmann's Communicative Systems Theory
Chapter IV Niklas Luhmann’s Communicative Systems Theory Framework With his concentrated formulations in Ecological Communication (1989), Luhmann deals with ecological communication far more directly than Bateson. In principle, that must make it easier to introduce his framework, especially given the additional facility his highly systematic approach to both writing and composing was supposed to impart. In reality, however, it is no less difficult introducing Luhmann in the current context because of the following factors: One, he has been no less lucky than was Bateson at having been “discovered” and had his general thought introduced by the excellent introducers to his individual books that have been translated into English.1 Two, the temptation to introduce Luhmann’s overall social theory, instead of focusing strictly on his theory of EC, is enormous: The temptation is only transformed into a treacherous pressure because of his systematic style of writing and conceptualization in which each one of his individual philosophical forays is to a great extent a specific replay of his overall philosophy. For example, his theory of EC is, in most ways, a tightly- designed and shortened localization of his larger philosophy of social systems. Three, and in relation to the above, it is also very tempting to introduce the history of systems theory as a whole (part of which I have done already in the earlier part of this essay), make a comprehensive gesture at placing Luhmann’s particular interventions within it (constitutive of his overall systems philosophy), and then to place his theory of EC within the above two. And, four, Luhmann’s work is highly self-referential, obtuse, abstract, and frightfully repetitive! What follows below does not completely resolve the above technical difficulties of introducing—some of which translate, on the whole, into the age-old problem of detecting and managing avoidable detail. -
What Is Systems Theory?
What is Systems Theory? Systems theory is an interdisciplinary theory about the nature of complex systems in nature, society, and science, and is a framework by which one can investigate and/or describe any group of objects that work together to produce some result. This could be a single organism, any organization or society, or any electro-mechanical or informational artifact. As a technical and general academic area of study it predominantly refers to the science of systems that resulted from Bertalanffy's General System Theory (GST), among others, in initiating what became a project of systems research and practice. Systems theoretical approaches were later appropriated in other fields, such as in the structural functionalist sociology of Talcott Parsons and Niklas Luhmann . Contents - 1 Overview - 2 History - 3 Developments in system theories - 3.1 General systems research and systems inquiry - 3.2 Cybernetics - 3.3 Complex adaptive systems - 4 Applications of system theories - 4.1 Living systems theory - 4.2 Organizational theory - 4.3 Software and computing - 4.4 Sociology and Sociocybernetics - 4.5 System dynamics - 4.6 Systems engineering - 4.7 Systems psychology - 5 See also - 6 References - 7 Further reading - 8 External links - 9 Organisations // Overview 1 / 20 What is Systems Theory? Margaret Mead was an influential figure in systems theory. Contemporary ideas from systems theory have grown with diversified areas, exemplified by the work of Béla H. Bánáthy, ecological systems with Howard T. Odum, Eugene Odum and Fritj of Capra , organizational theory and management with individuals such as Peter Senge , interdisciplinary study with areas like Human Resource Development from the work of Richard A. -
Applying Multi-Methodological Systems Theory to Project Management
APPLYING MULTI-METHODOLOGICAL SYSTEMS THEORY TO PROJECT MANAGEMENT Dr Tim Haslett Department of Management Faculty of Business and Economics Monash University Associate Professor Shankar Sankaran School of the Built Environment Faculty of Design Architecture and Building University of Technology Sydney Abstract This paper begins with the proposition that most project managers are dealing with complex systems. Complex systems are defined as systems with numerous stakeholders, nonlinearities, multiple interdependencies and feedback systems. Typical nonlinearities are often unanticipated changes in the scope of the project, the dismissal of project managers, shedding people with critical labour skills or the termination of credit arrangements with banks. The interdependencies are the relationships between project management, the suppliers and contractors, the clients and the other stakeholders. The feedback systems most common to the success and failure of project management are the rework cycles and their impact on both the demand for labour and the final budget and completion date. The paper outlines a methodology for project management that integrates a number of systems thinking tools into the project management process. Introduction The project management processes as described constitutes what is commonly known as a "wicked problem". Such problems require a multi-methodological approach because they are often not amenable to solution with a single methodology. Lee and Miller (2004) document a multi-methodology approach combining System Dynamics with Critical Chain Project Management to simulate a multi-project environment where the focus is on interactions between projects. The approach taken in this paper is broader and examines a series of methodologies, primarily from Soft Systems Methodology (SSM), System Dynamics (SD), and Viable Systems Methodology (VSM). -
Systems Thinking Is the Process of Understanding How Things Influence One Another Within a Whole
Systems Thinking Systems thinking is the process of understanding how things influence one another within a whole. In nature, systems thinking examples include ecosystems in which various elements such as air, water, movement, plants, and animals work together to survive or perish. In organizations, systems consist of people, structures, and processes that work together to make an organization healthy or unhealthy. Systems Thinking has been defined as an approach to problem solving, by viewing "problems" as parts of an overall system, rather than reacting to specific part, outcomes or events and potentially contributing to further development of unintended consequences. Systems thinking is not one thing but a set of habits or practices [1] within a framework that is based on the belief that the component parts of a system can best be understood in the context of relationships with each other and with other systems, rather than in isolation. Systems thinking focuses on cyclical rather than linear cause and effect. In science systems, it is argued that the only way to fully understand why a problem or element occurs and persists is to understand the parts in relation to the whole. [2] Standing in contrast to Descartes's scientific reductionism and philosophical analysis , it proposes to view systems in a holistic manner. Consistent with systems philosophy , systems thinking concerns an understanding of a system by examining the linkages and 1 / 8 Systems Thinking interactions between the elements that compose the entirety of the system. Science systems thinking attempts to illustrate that events are separated by distance and time and that small catalytic events can cause large changes in complex systems .