Get Agent-Based Supply Network Event Management PDF

By Roland Zimmermann

ISBN-10: 3764374861

ISBN-13: 9783764374860

"Supply Chain occasion administration (SCEM)" is without doubt one of the significant issues in application-oriented offer Chain administration. besides the fact that, many strategies lack conceptual precision and at present to be had client-server SCEM-systems are ill-suited for complicated offer networks in ultra-modern company surroundings. Agent-based proactive details logistics gives you to beat present deficits via supplying event-related details to all members within the allotted atmosphere. accordingly, follow-up expenses of disruptive occasions are considerably diminished for all community members and function of a provide community is elevated. during this booklet an intensive research of the development administration challenge area is the place to begin to increase a popular agent-based method of offer community occasion administration. the main target lies on useful problems with occasion administration (e.g. semantic interoperability) and financial merits to be accomplished with agent expertise during this state of the art challenge domain.Customer ReviewsBe the 1st to put in writing a review!"

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Extra resources for Agent-Based Supply Network Event Management

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Data gathered from event management is input for the Performance Analyzer module which allows to analyze past events, to identify and quantify exception trends and to evaluate the performance of trading partners in the supply chain on an ex-post basis. Event Manager (SAP) The Event Manager (EM) is a SCEM system developed by SAP for a broad range of business processes such as transportation, warehousing and production. The core data structure is the Event Handler (EH) object that is initialized for any order which is monitored by the Event Manager (see fig.

In case deviations from a transportation plan are identified, alerts are communicated to affected actors. The Inventory Monitor offers similar functions for warehousing processes with a focus on different types of inventory such as static inventory, projected inventory and inventory in motion. Alerts are communicated according to predefined roles and can be customized at the user level. The Order Monitor is used to track inbound and outbound orders with a focus on production orders and an ability to notify users upon identified deviations.

Although a direct measurement of the parameter γ is not realistic some further characteristics of γ are identified: - The tightness of relationships between supply network partners is one factor that influences the propagation of disruptive events. The more integrated processes between network partners are, the higher are any effects due to DEs. Today, a tendency to higher γ is prevailing, because minimization of stock and buffer-times are frequent goals for optimizing logistics processes. - In different industries, levels of integration differ.

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Agent-Based Supply Network Event Management by Roland Zimmermann

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