Leading to Chaos: A Conversation With General Stanley McChrystal
SM: It all depends on how you use it. When we got all this technology, common sense says, you have got to use it. And then, as you start using it, you start thinking, “OK, how are we going to use it?” The first thing you do when you have the ability to connect everyone is to say, “I am going to control every operation from the center, because now I can see and hear every operation.” That is what we were doing in late 2004. We were working as hard as we could, not sleeping, just going as hard as we could. Then you realize that the quantity of information [that comes from everyone being] connected overwhelms the center. There is no way that the headquarters is going to know everything and have granular knowledge at the speed things are happening. So the first attempt you make is to bring it all in, process it, and be this supercomputer center—and you realize you just can’t do it.
Then you say, “OK, what am I going to do?” Suddenly, you realize that communication goes both ways. This ability to communicate now, instead of just using small groups as tentacles or sensors pumping information to the brain, allows you to put the brain out there. Let people operate. It is too fast, too complex to process it all here in the center, so we process it across the entire organization without really controlling that process. We are letting everyone think, letting everyone have the information, then they can act locally. That started to work really well. That was probably in late 2004, and partners from across government started playing into it, and that, of course, just reinforces what works.
https://www.igi-global.com/dictionary/software-agents/8044
Distributed decision making is a decision-making process where several people are involved to reach a single decision, for example, a problem solving activity among a few persons when the problem is too complex for anyone alone to solve it. Learn more in: Software Agents
https://www.sciencedirect.com/science/article/abs/pii/S0377221702005015
Distributed decision making––a unified approach
Abstract
The paper gives an overview over the broad area of distributed decision making (DDM). In achieving a systematic procedure a general framework is developed that allows to describe the numerous approaches in DDM in a unified way. Focusing on application areas the paper is not only considering various fields in the management sciences, like hierarchical production planning, supply chain management, or managerial accounting, but is regarding other disciplines as well. Particularly, economics and computer sciences are investigated as to their specific contributions to DDM. It turns out that each field and discipline elaborate different aspects of DDM which particularly for OR could be used to solve concrete highly involved DDM problems.
https://www.springer.com/gp/book/9783540402015
© 2003
Distributed Decision Making
Authors: Schneeweiss, Christoph
Distributed decision making (DDM) has become of increasing importance in quantitative decision analysis. In applications like supply chain management, service operations, or managerial accounting, DDM has led to a paradigm shift. The book provides a unified approach to such seemingly diverse fields as multi-level stochastic programming, hierarchical production planning, principal agent theory, negotiations or contract theory. Different settings like multi-level one-person decision problems, multi-person antagonistic planning, and leadership situations are covered. Numerous examples and real-life planning cases illustrate the concepts. The new edition has been considerably expanded by additional chapters on supply chain management, service operations and multi-agent systems.
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