Agent-based manufacturing execution systems for short-series production scheduling

Cupek, Rafał; Ziębiński, Adam; Huczala, Lukasz; Erdogan, Huseyin

doi:10.1016/j.compind.2016.07.009

Cited by 80 publications

(58 citation statements)

References 34 publications

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“…MAS approaches are currently being used to build-up some typical CPS functions. Between these, one can cite [5,12,53] for Cloud computing, references [54,55] for Internet of Things (IoT) and [2] for a Service Oriented Architecture (SOA), besides MAS use as a means of integrating other system functions in References [3,56].…”

Section: Mass Applications In Cyber-physical Systemsmentioning

confidence: 99%

“…The MAS' characteristics of modularity, autonomy, flexibility, robustness and adaptability can also be implemented to fulfill functions of integration between different factory operations. On this subject, reference [56] present an architecture for Agent-based MES dedicated to short-series production support. Both workflow and information exchange follow ISA-95 standard and are implemented in a dynamic, agent-based environment.…”

Section: Mass Applications In Cyber-physical Systemsmentioning

confidence: 99%

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Solving the Job-Shop Scheduling Problem in the Industry 4.0 Era

et al. 2018

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Technological developments along with the emergence of Industry 4.0 allow for new approaches to solve industrial problems, such as the Job-shop Scheduling Problem (JSP). In this sense, embedding Multi-Agent Systems (MAS) into Cyber-Physical Systems (CPS) is a highly promising approach to handle complex and dynamic JSPs. This paper proposes a data exchange framework in order to deal with the JSP considering the state-of-the-art technology regarding MAS, CPS and industrial standards. The proposed framework has self-configuring features to deal with disturbances in the production line. This is possible through the development of an intelligent system based on the use of agents and the Internet of Things (IoT) to achieve real-time data exchange and decision making in the job-shop. The performance of the proposed framework is tested in a simulation study based on a real industrial case. The results substantiate gains in flexibility, scalability and efficiency through the data exchange between factory layers. Finally, the paper presents insights regarding industrial applications in the Industry 4.0 era in general and in particular with regard to the framework implementation in the analyzed industrial case.

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Section: Mass Applications In Cyber-physical Systemsmentioning

confidence: 99%

Section: Mass Applications In Cyber-physical Systemsmentioning

confidence: 99%

Solving the Job-Shop Scheduling Problem in the Industry 4.0 Era

et al. 2018

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“…A. Maka et al have used agent-based modeling in modeling decision-making systems, which allows more flexibility than standard central management systems [6]. The use of agent-based systems allows mass manufacturing to be changed into customized mass production and short-series production, as recently confirmed by R Cupek et al [7]. The most important properties of an agent are the autonomy, intelligence, adaptation, and cooperation [11].…”

mentioning

confidence: 94%

“…IEC 61499 further does not make provision for dynamic instantiation, which inhibits its ability to implement holonic control architectures [5]. However, most research in RMS has used the agent-based system, such as referred to in [6][7][8][9][10][11][12][13]. A. Maka et al have used agent-based modeling in modeling decision-making systems, which allows more flexibility than standard central management systems [6].…”

mentioning

confidence: 99%

Research on Reconfigurable Mechanism of Manufacturing System for Printing Process Based on ACP

Luo

Zhou

et al. 2018

Mathematical Problems in Engineering

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The reconfiguration manufacturing system (RMS) allows mass manufacturing to be changed into customized mass production and short-series production. However, the existing RMS models are not applicable to the printing production process, which is coexistence of the hybrid nature of being continuous and discrete. With the printing manufacturing system as the object of the research, this paper proposes the Agent-Resource-Workstation (ARW) model based on agent by analyzing the characteristics of "Production and Consumption of Resources" in the printing process. And then, each component of the ARW model is analyzed and defined. Finally, after systematically abstracting the reconfiguration of workstation models (RWMs), the reconfigurable mechanism of RWMs is established based on the algebra of communicating process (ACP), and formal verification was conducted by applying axioms of process algebra. The verification results show that RWM can show its external behavior well. Meanwhile, our research provides a theoretical approach for the reconfiguration of the printing manufacturing system. InstructionAt present, the direction of international advanced printing manufacturing system is going gradually to digital network and intelligence. Reconfigurable printing manufacturing system (RPMS) provides the best way to do this. In the late 1990s, Y. Koren, the professor of University of Michigan, proposed the concept of reconfigurable manufacturing system [1]. The model and design theory of reconfigurable systems mostly focused on the discrete manufacturing system, which is typical of machining. Because function block model is regarded as the key to improve the efficiency of reconstruction, we abstract model from the function block of system before reconstructing the printing manufacturing system, and then the model is formally verified. Finally, the reconfigurable principle of the manufacturing system is explored.Recently, agent-based function block and IEC 61499-based function block are proposed for the RMS. Mulibika and Basson [2], as well as Kruger and Basson [3], have compared these two approaches. Although Valentea, Mazzolinib, and Carpanzanoa [4] have confirmed that IEC 61499 holds promise for RMS applications, there has been a severe lack of support for this standard by major automation controller vendors, and the development platforms to support this approach are not mature enough to be attractive to the industry. IEC 61499 further does not make provision for dynamic instantiation, which inhibits its ability to implement holonic control architectures [5]. However, most research in RMS has used the agent-based system, such as referred to in [6][7][8][9][10][11][12][13]. A. Maka et al. have used agent-based modeling in modeling decision-making systems, which allows more flexibility than standard central management systems [6]. The use of agent-based systems allows mass manufacturing to be changed into customized mass production and short-series production, as recently confirmed by R Cupek et al. [7]. The most important...

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“…Despite the vast capacity of the modern computer systems supporting the planning processes, the problem of generating the production schedule in a quick way is still unsolved. There are no effective tools that could be used for the determination of the optimal sequence of the orders entered into the production system and for the proper assignment of particular orders to the machines [1].…”

Section: Scheduling Of the Production Orders In The Two-machine Systemmentioning

confidence: 99%

Minimization of Delay Costs in the Realization of Production Orders in Two-Machine System

Dylewski

Jardzioch

Dworak

2018

Management Systems in Production Engineering

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Abstract:The article presents a new algorithm that enables the allocation of the optimal scheduling of the production orders in the two-machine system based on the minimum cost of order delays. The formulated algorithm uses the method of branch and bounds and it is a particular generalisation of the algorithm enabling for the determination of the sequence of the production orders with the minimal sum of the delays. In order to illustrate the proposed algorithm in the best way, the article contains examples accompanied by the graphical trees of solutions. The research analysing the utility of the said algorithm was conducted. The achieved results proved the usefulness of the proposed algorithm when applied to scheduling of orders. The formulated algorithm was implemented in the Matlab programme. In addition, the studies for different sets of production orders were conducted.

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Agent-based manufacturing execution systems for short-series production scheduling

Cited by 80 publications

References 34 publications

Solving the Job-Shop Scheduling Problem in the Industry 4.0 Era

Solving the Job-Shop Scheduling Problem in the Industry 4.0 Era

Research on Reconfigurable Mechanism of Manufacturing System for Printing Process Based on ACP

Minimization of Delay Costs in the Realization of Production Orders in Two-Machine System

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