A distributed architecture for automated manufacturing systems

Rana, S.P.; Taneja, S. K.

doi:10.1007/bf02601562

Cited by 23 publications

(8 citation statements)

References 15 publications

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“…The centralized control architecture is represented by a mainframe computer that performs all planning and information processing functions [18]. In this case, all control decisions are taken at a unique location.…”

Section: Evolution Of Manufacturing Systemsmentioning

confidence: 99%

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Evaluating Centralized and Heterarchical Control of Smart Manufacturing Systems in the Era of Industry 4.0

Boccella¹,

Centobelli

Cerchione

et al. 2020

Applied Sciences

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In light of the Fourth Industrial Revolution, the concepts of flexibility and re-configurability of manufacturing systems and the evolution of their control architectures are becoming increasingly important. The development of Cyber Physical Systems (CPS) and their flexibility and integrated capabilities have paved the way to the transition from centralized control to heterarchical (decentralized) control architectures. In this paper, a comparison between centralized and heterarchical control architectures in a virtual learning environment is presented. The control architectures of the assembly station and the materials handling system of modern manufacturing systems have been conceptualized and tested under different working conditions. The results show that centralized control is the best solution only for deterministic and predictable scenarios, which are very far from reality, whereas, in case of failures, a more flexible control is preferable.

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Section: Evolution Of Manufacturing Systemsmentioning

confidence: 99%

“…Finally, the fourth typology of control architecture is the heterarchical control. It was introduced to overcome most of the disadvantages of the other control architectures [18][19][20][21][22][23]. The conventional pyramidal structure of the hierarchical control architecture disappears.…”

Section: Evolution Of Manufacturing Systemsmentioning

confidence: 99%

Evaluating Centralized and Heterarchical Control of Smart Manufacturing Systems in the Era of Industry 4.0

Boccella¹,

Centobelli

Cerchione

et al. 2020

Applied Sciences

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show abstract

“…It regards VPSs as the object to be supervised and controlled, and introduces the autonomous and coordination mechanisms, which enables both local quick response of distributed control (Rana and Taneja 1988) and global optimization of hierarchical control (Wang 1999). …”

Section: Supervisory Control System For Vpss and Working Principlesmentioning

confidence: 99%

Formal design and analysis of a hybrid supervisory control structure for Virtual Production Systems

Jiang

2006

International Journal of Production Research

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Virtual Production Systems (VPSs) is a dynamic paradigm for production resources structure, which was proposed to cope with changing and uncertain manufacturing environment. However, the high performance of VPSs relies on a high-quality control in practice. Motivated by both local quick responses and global optimization, a supervisory control structure based on autonomous and coordination mechanisms is proposed for VPSs in this paper. This hybrid supervisory control structure is formally designed and analysed with timed automata on the platform of an integrated tool named UPPAAL. First, the Discrete Events Dynamic Systems (DEDS) model of VPSs is established. Then autonomous and coordinated supervisory controllers are further designed under the guidance of heuristic scheduling rules, such that the desired characteristics of both performance (production flow and time) and activity (overflow-, conflict-and deadlock-free) can be ensured. Finally, system analysis, including deadlock-free analysis, calculation and simulation of time-optimal scheduling, is made through verification. A case study is made to illustrate that control and scheduling can be well integrated into this hybrid supervisory control structure in practice.

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“…A variety of different system architectures for distributed control of manufacturing systems and associated bidding approaches have been developed and investigated by researchers such as Duffie and Prabhu [19], Rana and Taneja [20], Shaw and Whinston [21], and Maley [22]. Traditionally, in order to quickly respond to a job request, a bid is constructed using the FCFS rule; that is, the bid value submitted by a resource for a job equals the sum of the total flow time of all of the preceding jobs at the resource and this new job's estimated processing time at the resource.…”

Section: Bid Constructionmentioning

confidence: 99%

Bid construction scheme for job flow time reduction in auction-based fully-distributed manufacturing systems

Veeramani

Wang

2005

Int J Adv Manuf Technol

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This study presents a novel bid construction scheme for an auction-based fully-distributed manufacturing system. The scheme is applied to the planning and control of manufacturing activities. A set of independent machining resources in the system, each with several ongoing set-up dependent jobs, compete for an upcoming job. The manner in which a resource constructs a bid determines job allocation and resource utilization and, consequently, job flow times. Resources that employ simple heuristic methods (e.g., based on a first-come-first-served scheme) to construct bids, often neglecting setup considerations, limit their applicability and performance quality. Here, the bid construction problem of a resource is formulated as a setup-sequencing (SS) problem. The optimal sequencing theory is then applied to develop a dynamic programming (DP)-based bid construction algorithm. The proposed algorithm has a computational complexity lower than that of the best-known algorithm for the SS problem. Additionally, parallel and distributed computing technology is utilized to model and implement this auction-based manufacturing control system in order to gain further insights into the effectiveness of the proposed DP-based bid construction scheme. Experimental results demonstrate that the proposed bid construction scheme performs well, and its contribution becomes obvious in the case of larger setup times and lot sizes.

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A distributed architecture for automated manufacturing systems

Cited by 23 publications

References 15 publications

Evaluating Centralized and Heterarchical Control of Smart Manufacturing Systems in the Era of Industry 4.0

Evaluating Centralized and Heterarchical Control of Smart Manufacturing Systems in the Era of Industry 4.0

Formal design and analysis of a hybrid supervisory control structure for Virtual Production Systems

Bid construction scheme for job flow time reduction in auction-based fully-distributed manufacturing systems

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