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Commitments for agent-based supply chain management

Authors:

Mario Verdicchio,

Marco ColombettiAuthors Info & Claims

ACM SIGecom Exchanges, Volume 3, Issue 1

Pages 13 - 23

https://doi.org/10.1145/844331.844334

Published: 01 December 2001 Publication History

Abstract

As supply chain networks are becoming more and more global, process coordination must be considered a crucial point for successful business management. The need for a suitable management and communication framework is thus becoming evident. We already have some examples showing that information sharing is a key-point at certain levels of a supply chain network. As there are several analogies between a company in a business network and an agent, the Multi-Agent System paradigm can be a valid approach for modelling supply chain networks. We consider commitment as a concept that underlies the whole multi-agent environment, that is, an interagent state, reflecting a business relation between two companies that make themselves represented by software agents. We present a data structure for commitments that can be used in the agent-based communication framework for the management of a supply chain. Business partnership between companies leads to the creation of a "channel" through which we can identify three different kinds of flow (products, money and information). We show how commitments that deal with these flows are related to one another and how they can affect the supply chain.

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Cited By

Bertolini MMeroni GPlebani P(2023)Trusted Compliance Checking on Blockchain with Commitments: A Model-Driven ApproachBusiness Process Management Forum10.1007/978-3-031-41623-1_1(3-19)Online publication date: 1-Sep-2023
https://doi.org/10.1007/978-3-031-41623-1_1
Meneguzzi FMagnaguagno MSingh MTelang PYorke-Smith N(2018)GoCoAutonomous Agents and Multi-Agent Systems10.1007/s10458-018-9385-032:4(459-502)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.1007/s10458-018-9385-0
Tarimoradi MZarandi MZaman HTurksan I(2017)Evolutionary fuzzy intelligent system for multi-objective supply chain network designsJournal of Intelligent Manufacturing10.1007/s10845-015-1170-128:7(1551-1579)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1007/s10845-015-1170-1
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Commitments for agent-based supply chain management

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Published In

cover image ACM SIGecom Exchanges

ACM SIGecom Exchanges Volume 3, Issue 1

Chains of commitment

Winter, 2002

61 pages

EISSN:1551-9031

DOI:10.1145/844331

Issue’s Table of Contents

Copyright © 2001 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2001

Published in SIGECOM Volume 3, Issue 1

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Cited By

Bertolini MMeroni GPlebani P(2023)Trusted Compliance Checking on Blockchain with Commitments: A Model-Driven ApproachBusiness Process Management Forum10.1007/978-3-031-41623-1_1(3-19)Online publication date: 1-Sep-2023
https://doi.org/10.1007/978-3-031-41623-1_1
Meneguzzi FMagnaguagno MSingh MTelang PYorke-Smith N(2018)GoCoAutonomous Agents and Multi-Agent Systems10.1007/s10458-018-9385-032:4(459-502)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.1007/s10458-018-9385-0
Tarimoradi MZarandi MZaman HTurksan I(2017)Evolutionary fuzzy intelligent system for multi-objective supply chain network designsJournal of Intelligent Manufacturing10.1007/s10845-015-1170-128:7(1551-1579)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1007/s10845-015-1170-1
Telang PKalia AMadden JSingh M(2015)Combining Practical and Dialectical Commitments for Service EngagementsService-Oriented Computing10.1007/978-3-662-48616-0_1(3-18)Online publication date: 16-Nov-2015
https://dl.acm.org/doi/10.1007/978-3-662-48616-0_1
Gao XSingh M(2014)Mining Contracts for Business Events and Temporal Constraints in Service EngagementsIEEE Transactions on Services Computing10.1109/TSC.2013.217:3(427-439)Online publication date: Jul-2014
https://doi.org/10.1109/TSC.2013.21
Telang PMeneguzzi FSingh MGini MShehory OIto TJonker C(2013)Hierarchical planning about goals and commitmentsProceedings of the 2013 international conference on Autonomous agents and multi-agent systems10.5555/2484920.2485059(877-884)Online publication date: 6-May-2013
https://dl.acm.org/doi/10.5555/2484920.2485059
Bryceson KSlaughter G(2010)Alignment of performance metrics in a multi‐enterprise agribusinessInternational Journal of Productivity and Performance Management10.1108/1741040101103889259:4(325-350)Online publication date: 27-Apr-2010
https://doi.org/10.1108/17410401011038892
Gasmelseid T(2009)Intelligent ContractingEmergent Strategies for E-Business Processes, Services and Implications10.4018/978-1-60566-154-4.ch016(249-275)Online publication date: 2009
https://doi.org/10.4018/978-1-60566-154-4.ch016
Xu L(2009)Business Process Outsourcing ModelingConsumer Behavior, Organizational Development, and Electronic Commerce10.4018/978-1-60566-126-1.ch011(188-206)Online publication date: 2009
https://doi.org/10.4018/978-1-60566-126-1.ch011
Ardalan AArdalan R(2009)A data structure for supply chain management systemsIndustrial Management & Data Systems10.1108/02635570910926636109:1(138-150)Online publication date: 30-Jan-2009
https://doi.org/10.1108/02635570910926636
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