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Annotated Table of Contents Preface: Why Study the Agile Virtual Enterprise? Agility and the Virtual Enterprise The U.S. Department of Defense with the National Science Foundation sponsored the core of this work after some remarkable disappointments in research programs. The recognition was that the whole system, the enterprise needed to be addressed, novel ideas like the virtual enterprise needed to be enable and the ability to respond quickly needed to be enhanced. How the Project/Book Was Put Together Thousands of researchers and users provided input through various modes, including a focused set of workshops over three years. Chapter 1: Introduction Agility is a business requirement, especially as a remedy to an unwise rush to lean manufacturing. Toyota is an example. Agility is Different The consumer electronics industry is an example of how you can do all the ordinary things right and still fail. Agility is necessary but differs according to context. Wang and IBM are examples. Agility can be used as a stragic weapon: Chryslers (accidental?) use of agility against Ford is given. Burger King is a great example of how agility can be used as a strategic weapon against the competition. We describe the strategy. A similar series of agile steps are outlined in the electronic gaming sector. Chapter 2: An Historical Example Military Research Can Dos and Donts Government research in agility tools has a history. An example of problems in forecasting is research into tin canning food. A Review of Best Agile Practices Since it will take time to evaluate whether an agility strategy was best, we looked at historical examples and discovered the whaling industry. This detailed example permeates the book. It is an example of a large, strategically important virtual enterprise which turned out to be agile. Some Lessons Learned Factors which contribute to the whaling success are homogenous culture which generated a case-law based ethical system of instant contracts. The enterprise infrastructure takes on a life of its own. Chapter 3: The Social Factor Social and Cultural dynamics are a key factor in the AVE. Waterworld The movie industry is the descendant of the whaling industry. The disasterous film, Waterworld, is an example of a mixup in the cultural infrastructure. Role of Culture as an Agent Several examples of culturally-driven virtual enterprises exist and are discussed here: Indian software collectives, the Russian Mafia, and a forthcoming experiment in distributed automobile manufacturing. Chapter 4: Cultural Memes The English and French Engineering Paradigms The nature of cultural conventions in contract law is examined more closely as self-propogating infrastructure. In particular, one can understand how this works by examining two competing models, both of which are found in the business environment. Their legacies are pegged to English and French traditions respectively. Lessons for Management Metrics One can see how inappropriate application of each of these models can result in inagile, inefficient systems. We give a specific rather critical example from the defense arena. Law Follows Engineering One can also see how the social infrastructure drives the legal infrastructure and how both define the engineering paradigm of the enterprise. Chapter 5: Empirical Principles of AVEs High Concept in the Virtual Enterprise A key element of the AVE is the ability to calibrate everyone on a unified goal. The existing technique is High Concept descriptions. We describe their use in the movie business, and the surprizing link to Japanese industrial planning. High Concept in Organizing the Virtual Enterprise High Concept is easy to understand but hard to engineer. We need a new science to enable this, and we describe some leverageable techniques. Three Visions of the Future A detailed technical roadmap exercise looked at the High Concept and developed three visions of the enterprise of the future, together with technical needs. We recount them here in order to flesh out the mechanics of High Concept in the gerenarl business case. The Bottom Line Chapter 6: Agility and the Defense Industry The Need for Agility Going back to the link among advanced Japanese industrial planning, the movie business, and the aerospace business, we explore some surprizing links that can help identify leveragable techniques. Necessity of Government Investment Some of these leverageble ideas are applicable to government action. In this section, we review the roles and benefits of government action within the infrastructures. We review these actions and agencies in the next few sections. The Advanced Research Projects Agency Why We Were Sponsored One of the government roles is behind why we were sponsored. Those dynamics are reviewed. The Story So Far Chapter 7: Definitions Having outlined the territory, we now turn to specific definitions. Virtual Enterprise We define four types of VE. Agility Here, we give our definition of agility and contrast it to the use of the term by others. Types of Change You need agility to respond to change, but change has several faces. We define and discuss those here. Metrics In order to engineer your enterprise, you need metrics to measure agility. In this long section, the notion of metrics is defined and contrasted to less formal characterizations. Chapter 8: What Agility Is Not Lean Manufacturing and Agility Agility is not lean and the two often work against each other. The Agile Virtual Enterprise and Electronic Commerce The AVE dynamic is more sophisticated than ecommerce as usually understood. We explain how. Flexible Manufacturing Flexible manufacturing is agile manufacturing limited to the shop floor. Static Business Practices We contrast agility to activity-based costing and enterprise resource planning. Techie Solutions We also contrast agility to concurrent engineering, enterprise integration, product data management, and object oriented modeling. Chapter 9: Issues A Tool Strategy Heres how you would fit the engineering of agility into your other corporate planning tools. Summary of the Method We give an overview of how the agility tools work, and what preparation is required. Limits of Our Approach As with any technique, there are limits to what can be done. We discuss them here. Agility Forum and A3 Agility The definitions and techniques we use differ substantially from those used by the Agility Forum. We outline the differences here and why they are important. Chapter 10: The Agile Virtual Enterprise Reference Model Now we turn to specific tools. In this lengthy chapter, we describe the reference model for virtual enterprises defined by the Focus Group. The Reference Model Here is the actual definition of the reference model consisting of enterprise infrastructures and life cycle decisionpoint processes. A couple hundred agility examples are included. Infrastructure Elements Infrastructure Observations Best Agile Practice Examples In the context of the reference model, we present eight case studies of enterprises that exhibited some best agility practices. Chapter 11: Communicative Acts and Information Theory The central tool we present is based on a specific formal theory. Here, we give a non-technical overview of that theory. Leveraging Information Theory The foundation is information theory. We outline its important points. Communicative Acts The expression of the theory is in a specific way of representing processes and decisions. We briefly described this method, known by many. Modeling by Communicative Acts We give a brief tutorial on how to model this way, and outline what the advantages are. Parallel Trends in Theory If one uses this technique, many analytical benefits follow. In particular, analyses based on other theories are automatic. We present what those theories are and how they can be used. Bottom Line Here us a brief summary of the chapter. Chapter 12: Examples Use of the Metrics Having provided so much background, we now turn to a simple walk-through of how to use the metrics to engineer agility into your enterprise, virtual or not. We include a warmup example. An Example Here is an example that is worked out in detail, in a long section with many graphics. Application in the Real World: A Case Study The cost of applying the tools is an issue. We conducted a cost case study, the results of which we present here. This aslo serves at yet a third example which is worked out in detail. Deeper into a Case Study Cost and Benefits The final result of the examples is to present in time and money the costs and benefits of various agility strategies. Costs We present here the detailed cost breakdown of performing the analysis. Chapter 13: Trust An Example of the Problem We now turn to a key dynamic that has appeared in all our cases: that of engineering trust. Here is an example of an apparent good idea failing because it destabilized the trust network. Inductive and Deductive Trust We need a formal understanding of trust. So here we define what we mean by trust, contrasted to less stringent meanings. Mitigated Inductive Trust Heres how the engineering of trust supports the engineering of agility. Truth Trust depends on a definition of truth which often is local. Here are some dynamics of trust that you have to consider, some not intuitive. Agents and Channels Having trust in an agent is different than having trust in the way that agent works with you. We have good tools for understanding one but not the other, so we outline some basic principles where needed. Trust Metrics In particular, we submit some trust metrics for the interactions in an enterprise which extend the idea of agility metrics. Chapter 14: Summary and Tools Strategy (Threat and Options) Here we review a demonstration tool for strategic planning, Turnip, that we created to support the agility methods described here. Turnip is downloadable from this site if you wish. Complexity Heres how agility and our tools in particular form a method for managing complexity in the enterprise. Softness There is a need to understand and model the social and cultural dynamics of the enterprise. The methods in the book go a long way toward providing revolutionary new tools in the regard. State The final big challenge to enterprises involves the notion of knowing, perhaps in great detail, what state evrything is in. The outstanding technical issues are presented here including some progress provided by the agility tools. Dooley Graph Calculator We created a demonstration Dooley Graph calculator, Pomegranate, which you can download here if you wish. Its function is described here. Conclusion Chapter 15: Bibliography and References Index A very nice index, which you can see below
A Aerospace Agile Manufacturing Research Center. See Organizations: Aerospace Agile Manufacturing Research Center Agents
Agile Virtual Enterprise Focus Group. See Research projects: Agile Virtual Enterprise Focus Group Agile virtual enterprise reference model, 109 to 143 Agility
Agility Forum. See Organizations: Agility Forum AIM-9X. See Research projects: AIM-9X missile Apollo mission, 32 Apple. See Companies: Apple Computer ARPA. See U.S. Government Agencies: Defense Advanced Research Projects Agency Augustine, Norman, 33 Automation and Robotics Research Institute. See Organizations: Automation and Robotics Research Institute B Brazil, 225 C CALS. See Research projects: Computer Aided Logistics Support, 34 Carroll, Lewis, 239 Case law
Center for the Study of Language and Information, See Organizations: Center for the Study of Language and Information Chomsky, Noam, 172 Communicative acts, 158 to 171
Companies
Concurrent engineering, xii, 186 Cost and operational effectiveness analysis, 209 D Darius, 35 DARPA. See U.S. Government Agencies: Defense Advanced Research Projects Agency Darwin, 242 Defense acquisition reform, 197 to 203 Descartes, René, 239, 240 Digital Equipment Corp. See Companies: Digital Equipment Corp. Dooley graph, 164, 176 to 195, 242 Dylan, 242 E Enterprise engineering, xii Enterprise integration
Enterprise modeling
ESPRIT. See Research Projects: European Strategic Program for Research in Information Technology F Film industry, 12 to 13
G Gates, Bill, 19 Gold rush, 16 H Hammurabi, 35 Harriot, Thomas, 239 High concept, 40 to 51, 203
Hughes, Howard, 54 I IBM. See Companies: IBM ICAM. See Research projects: Integrated Computer Aided Manufacturing Industrial Technology Institute. See Organizations: Industrial Technology Institute International Conference on Enterprise Integration Modeling Technology, See Research Projects: International Conference on Enterprise Integration Modeling Technology intertwingle, 89, 98 J Java, xiv Jefferson, Thomas, 31, 53 Jeito, 225 K keidanran, 39, 56 keiretsu, 39, 56 kisha club, 39 L Lean manufacturing, 1
LISP, 242, 243 M MacArthur, General Douglas, 38 Mach, 242 ManTech. See U.S. Government Agencies: Manufacturing Technology Directorate Mass customization
Meme
Metrics
microkernel, 242 Moby Dick, 14 Morita, Akio, 39, 57, 197
The Japan that Can Say No, 39, 57 Movies
N National Cash Register. See Companies: AT&T National Research Council. See Organizations; National Research Council O Oak Ridge National Laboratories. See U.S. Government Agencies: Oak Ridge National Laboratories Object Management Group. See Organizations: Object Management Group Object request broker, xiv Oil industry
Organizations
P Panama canal, 32 Peirce, C.S., 239 Pomegranate, 242 to 247 Prograph CPX, 243 R Railroad industry, 31 Research projects
Rogers, William Barton, 31 S Selective ignorance, 23 SEMATECH. See Research projects: SEMATECH Semiconductor industry
Sirius-Beta. See Companies: Sirius-Beta Spielberg, Steven, 40 Spruce Goose (aircraft), 54 Steelcase. See Companies: Steelcase Structured brainstorming, 228 Suppliers Working Group. See Research projects: Suppliers Working Group Systems engineering, 58 T Trust
Turnip, 229 to 234 U U.S. Government Agencies
V Virtual enterprise
W Washington, George, 31 Weapon systems, 2
Whaling industry, 13 to 19
Work and Technology Institute. See Organizations: Work and Technology Institute World War I
World War II
Z zaibatsu, 39 |
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