Modeling of supply chain: a multi-agent approach

Pathak, Surya Dev; Nordstrom, G.; Kurokawa, Sam

doi:10.1109/icsmc.2000.886417

Cited by 18 publications

(5 citation statements)

References 7 publications

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“…Proposed an agent-based software system for assisting in the decision making of SCM and for efficient and effective usage of EDI. In particular, they developed a model integrated computingbased SCM modeling environment to allow domain experts creating models of software agents to simulate and control the actual on-line negotiation processes [8].…”

Section: State Of the Artmentioning

confidence: 99%

An Agent-Based Framework for Supply Chain Cooperation

Abed

Benaissa

Benabdelhafid

et al. 2013

AMM

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The importance of cooperation in the supply chain has led scholars to suggest diverse approaches for problems in the collaboration process. Cooperation refers to the integration of different parts of an organization or different organizations in supply chain to accomplish a collective set of tasks and to achieve mutual benefits. The use of modern information technology (IT) decision support systems is fast becoming an indispensable tool for designing and managing complex supply chain systems today. This study describes a model of intelligent framework for cooperation in the supply chain environment. The aim of the paper is to demonstrate that agent technology can represent the supply chains by (a) reviewing intelligent agent applications for supply chain and (b) illustrating how a multi-agent system can provides a solution for supply chain cooperation. We review and synthesis existing applications in comparison to traditional and Internet-based technologies and critically evaluate agent technology applicability for supply chain management. This paper thus provides an intelligent framework for extended enterprise cooperation (i-SEEC) by adopting the techniques of the Semantic Web service and Multi-agents system. The proposed system can integrate different information technologies to make its behavior more intelligent and to catch more useful information from supply chain actors.

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Section: State Of the Artmentioning

confidence: 99%

An Agent-Based Framework for Supply Chain Cooperation

Abed

Benaissa

Benabdelhafid

et al. 2013

AMM

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“…All these research directions have been followed by the researchers' community but more work is needed on the interaction between all these elements and their impact on the efficiency of the global system. The use of domain ontology is already proven as beneficial for supply chain management (SCM), in the development of self-integrating SCM systems [3], or facilitating collaboration of inter-enterprise design teams [4], simulation of Supply Chain Network [5], or online negotiations [6], development of approaches to semantic integration of industrial information systems [7], etc. There are also influential efforts to provide the exhaustive ontology-based semantic models for SCM [8], organized in a modular way to support the reusability and maintainability of the involved micro-theories.…”

Section: Semantics Analysis Can Be Useful At Different Levels Of Suppmentioning

confidence: 99%

An approach for formalising the supply chain operations

Zdravković

Panetto

Trajanović

et al. 2011

Enterprise Information Systems

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Reference models play an important role in the knowledge management of the various complex collaboration domains (such as Supply Chain Networks). However, they often show a lack of semantic precision and, they are sometimes incomplete. In this paper, we present an approach to overcome semantic inconsistencies and incompleteness of the Supply Chain Operations Reference (SCOR) model and hence, improve its usefulness and expand the application domain. First, we describe a literal OWL (The Web Ontology Language) specification of SCOR concepts (and related tools), built with the intention to preserve the original approach in the classification of process reference model entities and hence, to enable effectiveness of usage in original contexts. Next, we demonstrate the system for its exploitation, in specific -tools for SCOR framework browsing and rapid supply chain process configuration. Then, we describe the SCOR-Full ontology, its relations with relevant domain ontology and show how it can be exploited for improvement of SCOR ontological framework competence. Finally, we elaborate the potential impact of the presented approach, to interoperability of systems in Supply Chain Networks.

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“…A particularly appealing technology for MAS development is the Model Integrated Computing (MIC). MIC systems are multi-aspect in nature, allowing detailed subsystem design to occur within the system-wide framework [11].…”

Section: Mas For Tool Inventory Control and Automatic Procurementmentioning

confidence: 99%

Multi-Agent Tool Management in the Manufacturing of Aircraft Engines

D’Addona

Teti

2011

Proceedings of the Institution of Mechanical Engineers, Part B:

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A Multi-Agent Tool Management System (MATMS) for automatic tool procurement in a supply network was developed and implemented. The MATMS realization involved the engineering design of an agent system that operates in the framework of a negotiation-based multiple-supplier network where an aircraft engine producer (buyer) requires from external tool manufacturers (sellers) the purchase of new cubic boron nitride (CBN) grinding wheels and the performance of dressing operations on worn-out CBN grinding wheels for turbine blade fabrication. The main purpose of the MATMS is the optimized tool management for nickel-based alloy turbine blade grinding while operating in a supply environment made uncertain by external tool manufacturers providing unreliable tool delivery time responses.

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Modeling of supply chain: a multi-agent approach

Cited by 18 publications

References 7 publications

An Agent-Based Framework for Supply Chain Cooperation

An Agent-Based Framework for Supply Chain Cooperation

An approach for formalising the supply chain operations

Multi-Agent Tool Management in the Manufacturing of Aircraft Engines

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