Download Agent-Based Supply Network Event Management by Roland Zimmermann PDF

By Roland Zimmermann

"Supply Chain occasion administration (SCEM)" is among the significant subject matters in application-oriented provide Chain administration. even though, many ideas lack conceptual precision and at present on hand client-server SCEM-systems are ill-suited for complicated provide networks in cutting-edge enterprise setting. Agent-based proactive details logistics can provide to beat present deficits by way of offering event-related details to all individuals within the disbursed surroundings. accordingly, follow-up charges of disruptive occasions are considerably lowered for all community members and function of a offer community is elevated. during this publication a radical research of the development administration challenge area is the start line to advance a accepted agent-based method of offer community occasion administration. the main target lies on functional problems with occasion administration (e.g. semantic interoperability) and financial advantages to be completed with agent expertise during this state of the art challenge domain.Customer ReviewsBe the 1st to jot down a review!"

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Extra resources for Agent-Based Supply Network Event Management

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2 EDI messages/order Characteristics of existing tracking system at LSP‘s subsidiary ƒ 200,000 orders/year monitored ƒ 95%-98% of orders not critical Æ Æ Æ ƒ Tracking data received in fixed time-intervals Æ Æ ƒ No indication of criticality Æ ƒ Missing automated data analysis ƒ Missing automated alerts Æ Æ Æ Æ 440,000 EDI messages/year processed Only 8,800 - 22,000 messages which may contain data on critical orders Operational costs of tracking system wasted for non-critical orders Order status outdated Loss of reaction time in case of problems Few carriers indicate problems in fulfillment and never provide details on problems No appropriate reactions to disruptive events possible Deviations to plans not identified automatically Reactions cannot be triggered automatically Tracking data only accessed manually by personnel Fig.

The data types are considered to be order attributes of the type OA n . However, important data types for SNEM functions are missing. 1). g. planned dates of achievement) (Karrer 2003, p. 8). g. 00") and a detailed view that offers every data set retrieved for an order (see excerpt in fig. 2-14). g. delay of an order) is missing. g. based on the FORTRAS - 38 - Chapter 2. Event Management in Supply Networks definitions (Fortras 2002)). g. severity) is provided. Extendable data structures T&T-systems are generally open to different data types as long as those can be integrated into the underlying data model and database.

2). Therefore, the data model has to support effective decision making of actors which react to event management data. g. type, severity, date of occurrence). They are used for deciding on activities in reactions. For instance, information that a delay of a delivery which has not yet arrived is caused by a traffic accident in which the transportation vehicle has been destroyed - in contrast to the reason traffic jam - will result in different reactions of an informed actor. In the first case, the delivery is supposedly completely lost whereas in the latter case, it will still arrive sometime.

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