A framework for developing an agent-based collaborative service-support system in a manufacturing information network

Tso, S.K.; Lau, Henry C. W.; Ho, J.C.M.; Zhang, Wenjun

doi:10.1016/s0952-1976(98)00041-4

Cited by 20 publications

(8 citation statements)

References 20 publications

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“…A mathematical approach with fuzzy logic principles is recommended in this study to monitor the supply chain performance by evaluating the planned and actual performances, such as ongoing delivery time and product quality, and making adjustment in order quantity based on the actual performance. The proposed methodology is to complement the authors' previous research publications on supply chain management with the multi-agent technologies [18], genetic algorithm [19], distributed object technology [20], and neural network [21].…”

Section: The Proposed Frameworkmentioning

confidence: 99%

An Intelligent Approach for Optimizing Supply Chain Operations

Lau¹,

Zhao²,

Nakandala³

2015

JOEBM

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Abstract-This paper aims to provide a model of supply chain management covering the principles of fuzzy logic for assessing performance of suppliers based on several pre-determined benchmarking metrics. Most important of all, it paves the way to extend this approach to tackle the issue of trans-shipment optimization where the stochastic nature of customer demand and supplier lead-time is taken into account. IndexTerms-Fuzzy logic, logistic management, trans-shipment cost.

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Section: The Proposed Frameworkmentioning

confidence: 99%

An Intelligent Approach for Optimizing Supply Chain Operations

Lau¹,

Zhao²,

Nakandala³

2015

JOEBM

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“…It includes the control of individual manufacturing resources or coordination of the recourses in shop-floor level [13]. Typically, agent models are built and implemented in order to attain the flexibility, reusability and fast response to both internal and external uncertainties in the shop floor environment [14][15][16][17][18][19][20].…”

Section: Agent-based Applications In Manufacturing Controlmentioning

confidence: 99%

Application of Auto-ID in agent-based manufacturing control

Wong

Leung

2010

The 40th International Conference on Computers &Amp; Indutrial Engineering

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A feasibility study has been established to integrate agent and auto-ID technologies in manufacturing control applications. A multi-agent system (MAS) framework for intelligent manufacturing has been established. The intelligent MAS environment attempts to exploit the potential of Auto-ID (RFID in particular) technology in manufacturing applications. The aim is to evaluate the applications of Auto-ID, especially with RFID technology, in manufacturing control. This involves the establishment of the hardware and software interfaces to enable production and process data to be recorded and written in the Auto-ID devices. Experiments are being conducted to study the working requirements and parameters of the Auto-ID devices in the shopfloor environments. Subsequently, the RFID technology is adopted in a flexible assembly cell (FAC) to evaluate the feasibility of integrating the RFID devices in a multi-agent based manufacturing control system. A MAS infrastructure for FAC control has been developed to incorporate the coordination of the RFID devices.

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“…As the manu-facturing market is becoming more borderless by national borders, a number of global supply chain networks have been established, taking advantage of the fast-growing networking and information technologies [27]. Study indicates that while a number of infrastructural frameworks related to dispersed supply chain systems have been described in contemporary publications [14,21,30,31], the detailed structure and formulation of a "smart" monitoring infrastructure for such a system has not received too much attention.…”

Section: Paradigms Of Supply Chain Workflowmentioning

confidence: 99%

“…Review on contemporary publications indicates that whilst the research findings so far have contributed to the progressive introduction of intelligence level to the models in terms of tasks decomposition and optimization of process planning operations, the machine self-learning aspect and in particular, the ability to predict possible outcomes, has not achieved the anticipated research advances [4,7,11,12,25,28,30]. Machine self-learning enables the progressive addition of intelligence and corporate information to a system through a systematic knowledge creation process.…”

Section: Paradigms Of Supply Chain Workflowmentioning

confidence: 99%

“…Rule-based reasoning works by narrowing attention to a specific problem domain, then codifying human-developed rules of thumb and patterns of reasoning and the recommendations provided are normally similar to what a human expert would conclude given the same evidence whereas object technology is featured by its inheritance of data to related objects and its "properties plus behaviours" encapsulation. However, research findings based on the past years of study [16,20,30] show that the self-learning feature although exists yet is not remarkable due to the distinct inherent features of these technologies which are not specifically designed for the building of an autonomous knowledge creation mechanism with the ability to predict events -should they occur at a later stage.…”

Section: Paradigms Of Supply Chain Workflowmentioning

confidence: 99%

See 1 more Smart Citation

Infrastructure of an Agile Supply Chain System: A Virtual Agent Modeling Approach

Lau

Wong

2003

Lecture Notes in Computer Science

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This paper attempts to suggest an infrastructural framework for the design and development of an agile supply chain system which is characterized by its ability to cope with unprecedented changes related to the management of suppliers and the flow of parts within the value chain of the entire production network. In particular, a virtual agent modeling approach, which provides the adaptive and predictive capability to meet the requirements of this agile system, is proposed. The infrastructure of this agile supply chain system highlights the deployment of virtual agents, which are basically intelligent functional objects emulating the behavior of human beings with relatively high adaptability. The significance of contribution of this paper is concerned with the suggestion of an infrastructural framework, which is able to enhance the agility as well as adaptability of value-added activities in a supply chain, thereby providing more alternatives and ideas for those researchers who are interested in this field of study.

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A framework for developing an agent-based collaborative service-support system in a manufacturing information network

Cited by 20 publications

References 20 publications

An Intelligent Approach for Optimizing Supply Chain Operations

An Intelligent Approach for Optimizing Supply Chain Operations

Application of Auto-ID in agent-based manufacturing control

Infrastructure of an Agile Supply Chain System: A Virtual Agent Modeling Approach

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