Hierarchies in Distributed Decision Making
Christoph A. Schneeweiss
Springer, Jan 1, 1999 - Business & Economics - 341 pages
Distributed decision making is described in this book from a hierarchical perspective. A unified approach allows to treat such seemingly diverse fields as multi-level decision making, hierarchical production planning, principal agent theory, hierarchical negotiations, & dynamic games within the framework of a general pair of functional equations. In doing so, the book covers the range from a multi-level one-person decision problem to a multi-person antagonistic planning & leadership situation. These general ideas are illustrated with numerous examples & real-life planning situations. In addition, the treatise provides a theoretical foundation for important problem areas in business administration, such as hierarchical production planning, the problems of design & implementation, modern concepts in managerial accounting, & supply chain management.
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activities AF(IN algorithm anticipation function arg max arg opt aspiration level assumed asymmetric information asymmetry base-criterion base-decision base-level base-model Chapter considered constraints constructional hierarchy contract coordination cost accounting cost parameters coupling equations criteria cycle decision field decision maker defined demand denoting described discussion distributed decision dynamic programming evaluate example explicit reactive anticipation final flexibility potential forecast formal Hence hierarchical planning hierarchical production planning hierarchies in distributed implementation incentive individual decision process influence information asymmetry information status instruction leadership linear linear programming lotsizes master model medial-level medium term level multi-criterion decision problem negotiation process non-reactive anticipation operational level Operational Research operationalization organizational hierarchies particular planning hierarchies procedure random variable reaction relaxation hierarchy result risk aversion scenarios Section short term solution solving specific standard model stochastic structure tactical-operational hierarchy taking into account team situation tion top-criterion top-decision top-equation top-level top-model variables