Viable Systems Model: More Support Tools Needed
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Quality Management in Service Desk How Does Service Desk Managers Define and Measure Quality
Quality Management in Service Desk How Does Service Desk Managers Define and Measure Quality Maiju Hjelt1 and Nestori Syynimaa1,2,3 1Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland 2Gerenios Ltd, Tampere, Finland 3Sovelto Plc, Helsinki, Finland Keywords: IT Service Management, ITIL, Quality, Quality Management, Measurement. Abstract: Many public and private sector organisations are depending on IT services provided by external service providers. The quality of the service affects the customer satisfaction and consequently the customer behaviour. The concept of quality has many meanings in the literature. In this paper, we study how service desk managers perceive the concept of quality and how to manage it in an organisation which has adopted ITIL. Our findings indicate that the quality is seen only in terms of how the agreed service levels are achieved. This view excludes the quality of the processes used to deliver IT services. Quality measurements are reflecting the perception of the concept of quality. 1 INTRODUCTION The purpose of this paper is to study how service desk managers perceive the concept of quality and how Public and private sector organisations are currently they manage it in an organisation which has adopted depending more and more on information technology ITIL. (IT). Currently, many IT needs are delivered and consumed in the form of services. Some of these IT services are acquired from external suppliers for 2 IT SERVICE MANAGEMENT various reasons, such as the lack of required IT-skills and knowledge, low-risk attitude, and costs IT service can be defined as a means of delivering associated with the ownership of IT service. -
Collective Purchasing of Food for Federal School Nutrition Programs
FEEDING AMERICA’S SCHOOLCHILDREN Collective Purchasing of Food for Federal School Nutrition Programs Federal school nutrition programs are increasingly seen as a critical component in national efforts to reduce childhood obesity. At the same time, school officials are faced with a complex system of legal requirements and practical challenges to getting nutritious food on children’s trays. Collective purchasing can be an effective tool through which individual schools can leverage their purchasing power with other schools to lower prices and streamline the contracting, purchasing, processing, and distribution of food served as part of federal school nutrition programs. This fact sheet provides an overview of collective purchasing approaches used by schools in the operation of federal school nutrition programs.* How Do School Food Authorities Purchase Food for School Nutrition Programs? SCHOOL FOOD AUTHORITY School food authorities (SFAs) purchase food or A school food authority (SFA) is the governing body services for school nutrition programs through direct responsible for the administration of federal school or collective purchasing. nutrition programs in one or more schools. A school food authority has the legal authority to operate the Direct purchasing is a method through which SFAs federal school nutrition program. contract directly with food suppliers (i.e., without the help of collective purchasing agreements or food Sources: 7 C.F.R. §§ 210.2, 215.2, 220.2, 225.2 service management companies). These suppliers (2012); 42 U.S.C. 1761(a)(8) (2006); 77 Fed. Reg.10992 could be local, regional, or national companies or (Feb. 24, 2012) (to be codified at 7 C.F.R. -
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). -
1 © Stafford Beer December 1992 WORLD in TORMENT a TIME
ã Stafford Beer December 1992 WORLD IN TORMENT A TIME WHOSE IDEA MUST COME You will remember the beginning of humankind. Our first parents were quick to get themselves into trouble. They were expelled from the garden of Eden. I understand that Adam took Eve's hand, and said: 'My dear, we are living in a time of transition'. Perhaps people have always felt like that. We certainly do today. Have you ever tried to list the components of contemporary change? It is easy enough to cite the marvels of modern science and technology - how the computer, and television, and medical science have changed our lives. If you start with such matters, it becomes a 'profound insight' to observe that there has been a change in the rate of change. But that was obvious twenty to thirty years ago, for I was writing books about it then. Components of Contemporary Change Today, my list is different. At the top is the spectacular advance in human misery. I estimate that more human beings are enduring agony today than ever before; the number could be greater than the sum of sufferers throughout history. I speak of starvation and epidemic; war and terrorism; deprivation, exploitation, and physical torture. I repeat the word agony; I am not talking about 'hard times'. Second on my list is the collapse of the civilisation we have known in our lifetime. We are looking at the rubble that remains of two competing empires. Soviet communism has accepted its own demise; Western capitalism has not accepted it yet. But I am not making a forecast. -
Essays on Inventory Management, Capacity Management, and Resource-Sharing Systems Ph.D
ESSAYS ON INVENTORY MANAGEMENT, CAPACITY MANAGEMENT, AND RESOURCE-SHARING SYSTEMS by Yang Bo APPROVED BY SUPERVISORY COMMITTEE: Milind Dawande, Co-Chair Ganesh Janakiraman, Co-Chair Alp Muharremoglu Anyan Qi Copyright c 2017 Yang Bo All rights reserved To my dear family and friends. ESSAYS ON INVENTORY MANAGEMENT, CAPACITY MANAGEMENT, AND RESOURCE-SHARING SYSTEMS by YANG BO, BS DISSERTATION Presented to the Faculty of The University of Texas at Dallas in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY IN MANAGEMENT SCIENCE THE UNIVERSITY OF TEXAS AT DALLAS August 2017 ACKNOWLEDGMENTS I am deeply thankful to my advisors, Drs. Milind Dawande and Ganesh Janakiraman, for patiently guiding me in my research endeavors, and for providing me with constructive advice and feedback. My frequent beneficial interactions with them have sharpened my research ability and have enabled me to become an independent researcher. I owe much to my parents and my wife; their unconditional love and support continues to give me courage and make me stronger. I would also like to express my gratitude to the following professors in my department, from whom I have benefited a lot: Alain Bensoussan, Metin Cakanyildirim, Dorothee Honhon, Elena Katok, Alp Muharremoglu, Shun-Chen Niu, Ozalp Ozer, Anyan Qi, Suresh P. Sethi, Kathryn Stecke, Serdar Simek, Shouqiang Wang, John J. Wiorkowski, and Shengqi Ye. Last but not the least, I would like to thank my fellow PhD students: Ying Cao, Bahriye Cesaret, Jiayu Chen, Shaokuan Chen, Wei Chen, Ilhan Emre Ertan, Zhichao Feng, Blair Flicker, Shivam Gupta, Harish Guda, Bharadwaj Kadiyala, Ismail Kirci, Chungseung Lee, Jingyun Li, Ting Luo, Sandun Perera, Xi Shan, Sina Shokoohyar, Yulia Vorotyntseva, Xiao Zhang, and many others. -
Maintaining Quality of Service Based on ITIL-Based IT Service Management
Maintaining Quality of Service Based on ITIL-Based IT Service Management V Koji Ishibashi (Manuscript received January 18, 2007) Interest in the IT Infrastructure Library (ITIL) of system management best practices has increased in recent years, and corporations are starting to incorporate ITIL in their IT systems. To help with this incorporation, Fujitsu provides the Systemwalker product group, which supports ITIL-based IT service management. ITIL contains many kinds of management processes. In this paper, we focus on the service deliv- ery area, which includes capacity, availability, and service level managements, and discuss the functions provided by Systemwalker Service Quality Coordinator (SSQC) and Systemwalker Availability View (SAView) from the ITIL perspective. An overview of the architecture used to implement these functions is also included. 1. Introduction functions and has been widely accepted in the The IT service management processes of the Japanese IT market. IT Infrastructure Library (ITIL)1) arise from the SAView is a new product that was launched following two core areas: in 2006 and provides visualization of business 1) Service support: Processes related to the service availability. daily operation and support of an IT service SSQC and SAView can be positioned as 2) Service delivery: Long-term planning and products that play a supporting role in imple- improvement processes related to IT service menting the following management processes provision that fall under the ITIL service delivery core In this paper, we mainly discuss the service area: delivery part of these two core areas, which con- 1) Capacity management tains the processes used to maintain the high 2) Availability management quality of the services provided by an IT system. -
What Is a Complex System?
What is a Complex System? James Ladyman, James Lambert Department of Philosophy, University of Bristol, U.K. Karoline Wiesner Department of Mathematics and Centre for Complexity Sciences, University of Bristol, U.K. (Dated: March 8, 2012) Complex systems research is becoming ever more important in both the natural and social sciences. It is commonly implied that there is such a thing as a complex system, different examples of which are studied across many disciplines. However, there is no concise definition of a complex system, let alone a definition on which all scientists agree. We review various attempts to characterize a complex system, and consider a core set of features that are widely associated with complex systems in the literature and by those in the field. We argue that some of these features are neither necessary nor sufficient for complexity, and that some of them are too vague or confused to be of any analytical use. In order to bring mathematical rigour to the issue we then review some standard measures of complexity from the scientific literature, and offer a taxonomy for them, before arguing that the one that best captures the qualitative notion of the order produced by complex systems is that of the Statistical Complexity. Finally, we offer our own list of necessary conditions as a characterization of complexity. These conditions are qualitative and may not be jointly sufficient for complexity. We close with some suggestions for future work. I. INTRODUCTION The idea of complexity is sometimes said to be part of a new unifying framework for science, and a revolution in our understanding of systems the behaviour of which has proved difficult to predict and control thus far, such as the human brain and the world economy. -
Cybernetica-The Law of Requisite Variety
The Law of Requisite Variety “The Principles of Cybernetica Web” at http://pespmc1.vub.ac.be/REQVAR.HTML The larger the variety of actions available to a control system, the larger the variety of perturbations it is able to compensate. Control or regulation is most fundamentally formulated as a reduction of variety: perturbations with high variety affect the system's internal state, which should be kept as close as possible to the goal state, and therefore exhibit a low variety. So in a sense control prevents the transmission of variety from environment to system. This is the opposite of information transmission, where the purpose is to maximally conserve variety. In active (feedforward and/or feedback) regulation, each disturbance D will have to be compensated by an appropriate counteraction from the regulator R. If R would react in the same way to two different disturbances, then the result would be two different values for the essential variables, and thus imperfect regulation. This means that if we wish to completely block the effect of D, the regulator must be able to produce at least as many counteractions as there are disturbances in D. Therefore, the variety of R must be at least as great as the variety of D. If we moreover take into account the constant reduction of variety K due to buffering, the principle can be stated more precisely as: V(E) ³ V(D) - V(R) - K Ashby has called this principle the law of requisite variety: in active regulation only variety can destroy variety. It leads to the somewhat counterintuitive observation that the regulator must have a sufficiently large variety of actions in order to ensure a sufficiently small variety of outcomes in the essential variables E. -
History of Cybernetics - R
SYSTEMS SCIENCE AND CYBERNETICS – Vol. III - History of Cybernetics - R. Vallee HISTORY OF CYBERNETICS R. Vallée Université Paris-Nord, France Keywords: Autopoiesis, cybernetics, entropy, feedback, information, noise, observation, variety. Contents 1. Origins of Cybernetics 1.1 Contemporary Initiators 1.2 Past Contributors 2. Basic Concepts 2.1 Foundations 2.1.1.Retroaction 2.1.2.Information 2.2 Other Important Concepts 2.2.1.Variety 2.2.2.Observers 2.2.3.Epistemology and Praxiology 2.2.4.Isomorphism and Multidisciplinarity 3. Links with Other Theories 4. Future of Cybernetics Appendix Glossary Bibliography Biographical Sketch Summary The most important initiator of cybernetics was Norbert Wiener (l894–1964) with his book “Cybernetics or Control and Communication in the Animal and the Machine”. The contribution of Warren S. McCulloch (1898–1969) may be compared to that of Wiener. Cybernetics UNESCOhas also had precursors such as– A. M.EOLSS Ampère who introduced the word cybernétique as well as B. Trentowski who did the same in Polish. H. Schmidt, S. Odobleja in the 1930s, and P. Postelnicu in the early 1940s recognized the general importance of the idea of negative feedback. SAMPLE CHAPTERS The basic concepts of cybernetics are negative feedback and information. A famous example of negative feedback is given by Watt’s governor, the purpose of which is to maintain the speed of the wheel of a steam engine, at a given value, despite perturbations. The theory of information, mainly due to Claude E. Shannon, gives a measure of the unexpectedness of a message carried by a signal. Other traits of cybernetics must be noted, such as the “principle of requisite variety” introduced by W. -
1 System Viability of Organizations and The
SYSTEM VIABILITY OF ORGANIZATIONS AND THE AETIOLOGY OF ORGANIZATIONAL CRISIS A Quantitative Assessment of Stafford Beer’s Viable System Model SYSTEMISCHE LEVENSVATBAARHEID VAN ORGANISATIES EN DE ETIOLOGIE VAN ORGANISATIE CRISES Een kwantitatieve toets van Stafford Beers 'Viable System Model' (met een samenvatting in het Nederlands) Proefschrift ter verkrijging van de graad van doctor aan de Universiteit Utrecht op gezag van de rector magnificus, prof.dr. G.J. van der Zwaan, ingevolge het besluit van het college voor promoties in het openbaar te verdedigen op maandag 20 november 2017 des ochtends te 10.30 uur door Michael Dominik PFIFFNER geboren op 9 oktober 1963 te Zürich, Zwitserland 1 Promotoren: Prof. dr. S.G.L. Schruijer Prof. dr. J.P.P.E.F. Boselie 2 3 Committee: Prof. dr. M. van Bottenburg Prof. dr. A.J. Meijer Prof. dr. E.F. Loos Prof. dr. P. Curşeu Prof. dr. A. Wierdsma 4 5 1 Abstract 1.1 Abstract in English Michael Dominik Pfiffner System Viability of Organizations and the Aetiology of Organizational Crisis A Test of Stafford Beer’s Viable System Model and a Quantitative As- sessment of the System Viability of Organizations for the Understanding and Pre-Emption of Organizational Crisis Keywords: System Viability, Organizational Crisis, Failure, Manage- ment Cybernetics, Early Recognition, Prevention, VSM Subject of this dissertation is the aetiology of crisis processes which place organizations under existential threats and which often cause organiza- tional demise and bankruptcy. To date, research on organizational crises (OC) has not succeeded in identifying the generic grounds for these detri- mental processes in organizations. Instead, by referring to the complexity and to the assumed multi-causality of the phenomenon, research has contin- ued to provide only either general observations or deep singular analyses of often prominent crisis cases, which provide no generalizable insights. -
Capacity Management Ensures Proper Utilization of Available Resources and Makes Future Capacity Requirement Available in Cost-Effective and Timely Manner
CCAAPPAACCIITTYY MMAANNAAGGEEMMEENNTT http://www.tutorialspoint.com/itil/capacity_management.htm Copyright © tutorialspoint.com Capacity Management ensures proper utilization of available resources and makes future capacity requirement available in cost-effective and timely manner. Capacity Management is considered during Service Strategy and Service Design phases. It also ensures that IT is sized in optimum and cost-effective manner by producing and regularly upgrading capacity plan. Capacity Manager is the process owner of this process. Capacity Management Activities The following table describes several activities involved in Capacity Management Process: S.N. Capacity Management Activities 1. Producing capacity plans, enabling service provider to continue to provide services of quality defined in SLA. 2. Assistance with identification and resolution of any incident associated with any service or component performance. 3. Understanding customer’s current and future demands for IT resources and producing forecasts for future requirements 4. Monitoring Pattern of Business activity and service level plans through performance, utilization and throughput of IT services and the supporting infrastructure, environmental, data and applications components. 5. Influencing demand management in conjunction with Financial Management 6. Undertaking tuning activities to make the most efficient use of existing IT resources. 7. Proactive improvement of service or component performance Objectives Here are the several objectives of Capacity Management: S.N. Objectives 1. Produce and maintain an appropriate up-to-date capacity plan reflecting the current and future needs of the business. 2. Provide advice and guidance to all other areas of the business and IT on all capacity and performance related issues. 3. To manage performance and capacity of both services and resources. -
Design and Simulation of a Capacity Management Model Using a Digital Twin Approach Based on the Viable System Model: Case Study of an Automotive Plant
applied sciences Article Design and Simulation of a Capacity Management Model Using a Digital Twin Approach Based on the Viable System Model: Case Study of an Automotive Plant Sergio Gallego-García 1,* , Jan Reschke 2,* and Manuel García-García 1,* 1 Department of Construction and Fabrication Engineering, National Distance Education University (UNED), 28040 Madrid, Spain 2 Institute for Industrial Management (FIR), RWTH Aachen University, 52074 Aachen, Germany * Correspondence: [email protected] (S.G.-G.); Jan.Reschke@fir.rwth-aachen.de (J.R.); [email protected] (M.G.-G.); Tel.: +34-682-880-591 (M.G.-G.) Received: 21 October 2019; Accepted: 11 December 2019; Published: 17 December 2019 Abstract: Matching supply capacity and customer demand is challenging for companies. Practitioners often fail due to a lack of information or delays in the decision-making process. Moreover, researchers fail to holistically consider demand patterns and their dynamics over time. Thus, the aim of this study is to propose a holistic approach for manufacturing organizations to change or manage their capacity. The viable system model was applied in this study. The focus of the research is the clustering of manufacturing and assembly companies. The goal of the developed capacity management model is to be able to react to all potential demand scenarios by making decisions regarding labor and correct investments and in the right moment based on the needed information. To ensure this, demand data series are analyzed enabling autonomous decision-making. In conclusion, the proposed approach enables companies to have internal mechanisms to increase their adaptability and reactivity to customer demands.