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Entities that plan for themselves or that plan for others can also be described in terms of actors (or agents) An actor is a special kind of entity in the sense that it is a coherent and integrated whole, it may have a bodily or physical manifestation, and it may be seen as an adaptive (intelligent) system Every actor is an entity, but not every entity is an actor Elsewhere (Gazendam and Jorna, 1998) we made a distinction in various kinds of actors Actors can be individuals and, in metaphorical sense, units, groups, or organizations Concerning actors as individuals, they can be response function systems, representational systems, or a combination Actors are response function systems if they react to external circumstances, but do not have internal representations Actors are representational systems if they have internal processes and mechanisms, but do not interact with the environment.

The class diagram for the Component Configurator pattern is as follows:

Actors are both if they can react to the environment and have internal representations An example of the rst kind of actor can be found in economics: the so-called economic man In economics, especially the human cognitive architecture and human information processing, are neglected The actors are empty actors An example of the second kind of actor is the AI actor or Cognitive Science actor, where an external environment is often omitted and, therefore, not modeled Examples of the third kind of actors are humans as real information processing systems living in natural environments The actors that we discuss in this planning book mostly concern the last kind of actors However, developments in robotics are so fast (see s 10 and 11) that one might tend to call the robots that also play soccer the representational response function systems.

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Optimizing an organization s value chain begins with understanding customer demand. Consider this observation: In the value chain there is only one independent decision being made, and all of the other thousands of decisions are dependent ones. What is that single independent decision It is the ultimate end-consumer choosing to exchange his money with a purchase. Subsequent to that, all stick replenishment and service decisions, loaded with production and logistics decisions, are governed. This is so profound that it makes me wonder why the term supply chain management was not initially coined as demand chain management. The performance management (PM) tools are enablers for the value chain intelligence suite of solutions. This solutions suite includes demand planning, inventory replenishment planning, price optimization, and spend management: Demand planning. Reliable forecasting is the key. Statistically sound large-scale demand forecasts serve as a foundation for all levels of business planning. Effective forecasting tools dynamically adjust to irregular demand series and also take into account the impact of sales promotions. This must be done for every item at every level of detail because one shortage can prevent an assembled product. Hence the need for a large-scale forecasting system. A strong competency in demand planning provides the foundation for demand creation generating higher pro ts with customerin uencing techniques. Inventory replenishment. Using reliable forecasts, economic-aware replenishment strategies are the key. That is, desired levels of service are blended with alternative rules or policies for different types of items, such as between repeatedly ordered, fast-moving items or their opposite types. Replenishments ideally should be planned by categories, often down to the item-by-item plans; and multiscenario analysis should allow exploration and comparison of different options. Here detail is needed because sometimes you have to get close down to the bottom where the dirt crops

Let us assume that the arc is preenabled at instant , which is the instant corresponding to the arrival of the required tokens in the place connected to this arc Then, a partial (temporal) enabling of t, related to this arc, is defined to be in the interval [ + min, + max] This new definition introduces an implicit timer related to the arc, and the starting date of this timer is the instant at which the place is pre-enabled by the tokens that enable the input place of the arc Note that if this arc is the only input arc of the transition, then clearly the transition is enabled as soon as it is enabled by this arc.

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