An autonomous multi-agent approach to supply chain event management

Bearzotti, Lorena; Salomone, Enrique; Chiotti, Omar

doi:10.1109/soli.2008.4686451

Cited by 20 publications

(37 citation statements)

References 8 publications

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“…Each of these entities would generate specific unexpected events that are related to them. A number of authors: [18,21,23,27,30,31,32,33,34,35,36,37,38,39] have identified a number of unexpected events and partially or completely agree with Darmoul et al [26]. In the literature, an additional specific unexpected event, production time variation, has also been proposed [ 21,23,25,31,37,38].…”

Section: Hierarchical Production Planning (Hpp)mentioning

confidence: 58%

“…Therefore, these events need to be addressed by the hierarchical production planning systems. How to handle unexpected events through flexible and robust manufacturing systems have previously been discussed in the literature [26,27]. However, most of the work in these areas only considers certain types of unexpected events such as lack of available materials, production time variations and rush orders, or provide limited assistance to the way people react.…”

Section: Hierarchical Production Planning (Hpp)mentioning

confidence: 99%

“…In Table 1 grey cells represent the extension of this typology and the table maps the relationships between the theoretical and empirical definitions. In order to manage each and every specific unexpected event in an integral way, it is necessary to consider different factors for its management such as, duration of the disturbance (estimation of how long can an unexpected event last) and criticality of the resources involved (which relates to substitution of resources) [30], as well as the impact (high: related to strategic decisions, or low: related to operational or tactical decisions) [27].…”

Section: Hierarchical Production Planning (Hpp)mentioning

confidence: 99%

See 2 more Smart Citations

Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning

Vargas

Boza

Patel

et al. 2016

Data & Knowledge Engineering

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Abstract:The novel idea of inter-enterprise architecture from the enterprise engineering perspective allows collaborative networks to integrate and coordinate different organizations. Therefore, interenterprise architecture offers multiple benefits, including: joint process harmonization, business strategy and information technology alignment, technological cost reduction, risk and redundancies reduction, customer services improvement and enhanced responsiveness. Inter-enterprise architecture can be used to solve the different issues that collaborative networks face on a daily basis. A conceptual model that addresses the problem of unexpected events management in the context of hierarchical production planning to improve decision making in collaborative environments is proposed using of inter-enterprise architecture. The proposed conceptual model comprises of a framework, a modelling language and the methodology. The conceptual model has been applied to a Spanish collaborative network from the ceramic tile sector.

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Section: Hierarchical Production Planning (Hpp)mentioning

confidence: 58%

Section: Hierarchical Production Planning (Hpp)mentioning

confidence: 99%

Section: Hierarchical Production Planning (Hpp)mentioning

confidence: 99%

See 1 more Smart Citation

Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning

Vargas

Boza

Patel

et al. 2016

Data & Knowledge Engineering

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“…Therefore, the ability to cope with these changes and helping decision makers react in the best way, are important issues that must be taken into account in the systems and planning processes. Some studies have proposed that manufacturing systems should be sufficiently flexible and robust in order to efficiently handle unexpected events [7,8] and new proposals arise for a better information management in production, such as Internet of Things [9]. However, most of the work in these areas only considers certain types of unexpected events, or provides limited assistance to manage how people react to them.…”

Section: Hierarchical Production Planning and Operational Riskmentioning

confidence: 99%

Risk Management in Hierarchical Production Planning Using Inter-enterprise Architecture

Vargas

Boza

Patel

et al. 2015

Risks and Resilience of Collaborative Networks

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Abstract. Unexpected events in hierarchical production planning, such as rush orders, labor problems, lack of availability of materials and faulty machines have to be managed efficiently because they represent a risk for business continuity, based on their impact and duration. The use of inter-enterprise architecture offers multiple benefits for collaborative networks, including: business strategy and information technology alignment, joint process integration and synchronization, supply chain cost reduction, risk and redundancy minimization and customer services improvement. Therefore, the use of inter-enterprise architecture to address the problem of unexpected events in hierarchical production planning supporting operational risk management is proposed. This paper presents a model for inter-enterprise architecture that addresses the problem of handling unexpected events in hierarchical production planning and how the inter-enterprise framework is embedded into the model.

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“…In addition, due to the globalisation and constant adoption of practices such as outsourcing, drop shipment and vendor management inventory, it is important for a company to keep track of happenings of potential risks in its entire supply chain network including disasters and social unrest around the regions of its key suppliers as they may have eventually an impact on the focal company itself. The appropriate management of constraints of the supply, manufacturing, and demand and relevant risks is essential for the sustainable development and business success of a company (Tang, 2006;Tang and Musa, 2011;Bearzotti et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

A k-means clustering for supply chain risk management with embedded network connectivity

Yin

Ponnambalam

et al. 2016

IJAL

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Abstract:In recent years, increased attention has been shown to the supply chain risk management due to the occurrences of several high profile disruptions which resulted in significant social, economic and political impact globally. However, there are not direct and easy ways of understanding the risk of an entire supply chain. In this paper, a network connectivity embedded k-means clustering approach has been proposed to determine at-risk clusters of nodes that share similar risk profiles and linkages with the focal company. It uses a multiple dimensional feature vector to represent the risks that nodes are facing, their geographical locations, supply chain attributes and network connectivity attributes. The clustering approach is able to reduce the complexity of a large supply chain network to facilitate in-depth targeted analysis and simulations. The effectiveness of the proposed approach has been illustrated by experiments that successfully identify the risk clusters and critical risk zones.

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An autonomous multi-agent approach to supply chain event management

Cited by 20 publications

References 8 publications

Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning

Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning

Risk Management in Hierarchical Production Planning Using Inter-enterprise Architecture

A k-means clustering for supply chain risk management with embedded network connectivity

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