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2015 | OriginalPaper | Buchkapitel

A Multi-agent Hybrid Approach to Decision Support in Job Groups Handling

verfasst von : Jarosław Wikarek, Izabela Ewa Nielsen

Erschienen in: Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection

Verlag: Springer International Publishing

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Abstract

This study deals with scheduling groups of jobs, their arrival and delivery, and individual processing of each of them. All jobs in a group should be delivered at the same time after processing. One of the objectives is to minimize the average delivery time of the group containing that job (waiting period). The new way of modeling and solving the decision problem - a multi-agent hybrid approach is presented. This approach includes the design and implementation of two agent types: MP-agents (Mathematical Programming) and CLP-agents (Constraint Logic Programming). The iterative algorithm for solving the model under dynamic emergence of new orders is also included. This structure enables managers to ask all kinds of questions.

In addition, the paper proposes new functionalities based on the CLP environment and numerical experiments for illustrative examples.

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Vorheriges Kapitel Selected Activity Coordination Mechanisms in Complex Systems

Nächstes Kapitel Simulation of Supply Chain with Disturbances Using Flexsim - Case Study

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Titel: A Multi-agent Hybrid Approach to Decision Support in Job Groups Handling
verfasst von: Jarosław Wikarek
Izabela Ewa Nielsen
Verlag: Springer International Publishing
Buch: Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection
Print ISBN: 978-3-319-19032-7

Electronic ISBN: 978-3-319-19033-4

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-19033-4_7

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