Multi-agent based scheduling in manufacturing cells in a dynamic environment

Renna, Paolo

doi:10.1080/00207543.2010.518736

Cited by 42 publications

(14 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Huang and Liao (2012) have suggested a distributed parallel machine scheduling for electro etching process of manufacturing of aluminium foil. Renna (2011) has presented a coordinated concept for multi agent framework as per the calculation of internal and external indexes of generic manufacturing cell.…”

Section: Literature Reviewmentioning

confidence: 99%

Cloud-based multi-agent architecture for effective planning and scheduling of distributed manufacturing

Singh

Kumari

Govindan

et al. 2016

International Journal of Production Research

View full text Add to dashboard Cite

In modern world, manufacturing processes have become very complex because of consistently fluctuating demand of customers. Numerous production facilities located at various geographical locations are being utilized to address the demands of their multiple clients. Often, the components manufactured at distinct locations are being assembled in a plant to develop the final product. In this complex scenario, manufacturing firms have to be responsive enough to cope with the fluctuating demand of customers. To accomplish it, there is need to develop an integrated, dynamic, autonomous system. In this article, a self-reactive cloud based multi agent architecture for distributed manufacturing system is developed. The proposed architecture will assist manufacturing industry to establish real time information exchange between the autonomous agents, clients, suppliers and manufacturing unit. The mechanism described in this study demonstrates how the autonomous agents interact with each other to rectify the internal discrepancies in manufacturing system. It can also address the external interferences like variations in client's orders to maximise the profit of manufacturing firm in both short and long term. Execution process of proposed architecture is demonstrated using simulated case study.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Cloud-based multi-agent architecture for effective planning and scheduling of distributed manufacturing

Singh

Kumari

Govindan

et al. 2016

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…Multi-agent negotiation in supply chains was proposed in Wong and Fang (2010). The multi-agent technology also has been used to construct flexible manufacturing system models , Merdan et al 2011, Renna 2011, Ruiz et al 2011. Bo¨hnlein et al (2011) used agent-based technologies to research the transport planning in the newspaper industry.…”

Section: Review Of the Related Researchmentioning

confidence: 99%

The impact of collaborative transportation management on demand disruption of manufacturing supply chains

Chan

2012

International Journal of Production Research

View full text Add to dashboard Cite

This paper describes the impact of collaborative transportation management (CTM) on the performance of manufacturing supply chains using a multi-agent approach. Two supply chain models (with and without CTM) are proposed to show how it realises the real operational interactions between different supply chain partners under demand disruption. Simulation results of the proposed models reveal the evolution of the CTM supply chain with demand disruption. The dynamic delivery ability and order point which are caused by demand disruption in the CTM supply chain are investigated. The results indicate that CTM can significantly reduce costs and improve the flexibility of companies in handling demand disruption problems. It is suggested that CTM is an efficient mechanism to manage supply chains, especially under a demand disruption environment.

show abstract

“…Multi-agent methodology appears to be a useful tool for handling these problems in online and dynamic environments; see, for example, Wauters et al (2011), Renna (2011) and Nejad et al (2011). In this paper, we propose a graph-theoretic model and exact and heuristic algorithms based on this model.…”

Section: Introduction and Literature Reviewmentioning

confidence: 98%

A graph-theoretic approach to interval scheduling on dedicated unrelated parallel machines

Cheng

Bandalouski

et al. 2014

Journal of the Operational Research Society

View full text Add to dashboard Cite

We study the problem of scheduling n non-preemptive jobs on m unrelated parallel machines. Each machine can process a specified subset of the jobs. If a job is assigned to a machine, then it occupies a specified time interval on the machine. Each assignment of a job to a machine yields a value. The objective is to find a subset of the jobs and their feasible assignments to the machines such that the total value is maximized. The problem is NP-hard in the strong sense. We reduce the problem to finding a maximum weight clique in a graph and survey available solution methods. Furthermore, based on the peculiar properties of graphs, we propose an exact solution algorithm and five heuristics. We conduct computer experiments to assess the performance of our and other existing heuristics. The computational results show that our heuristics outperform the existing heuristics.

show abstract

Multi-agent based scheduling in manufacturing cells in a dynamic environment

Cited by 42 publications

References 19 publications

Cloud-based multi-agent architecture for effective planning and scheduling of distributed manufacturing

Cloud-based multi-agent architecture for effective planning and scheduling of distributed manufacturing

The impact of collaborative transportation management on demand disruption of manufacturing supply chains

A graph-theoretic approach to interval scheduling on dedicated unrelated parallel machines

Contact Info

Product

Resources

About