Event-driven Production Planning and Control Based on Individual Customer Orders

Kasakow, Georg; Menck, Nicole; Aurich, Jan C.

doi:10.1016/j.procir.2016.11.075

Cited by 9 publications

(4 citation statements)

References 7 publications

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“…Autonomous production control (APC) has the potential to deliver optimal and resource efficient processes as well as higher quality and variations of products than conventional, centralized decision-making systems [16] Adaptive, decentralised production control can reduce planning efforts [17], enable shorter reaction times in planning [18] and create greater planning flexibility [19].…”

Section: Maintenance In Apcmentioning

confidence: 99%

“…A typical task is to assign a waiting workpiece, which is to be processed in the course of a production job, to a machine or a workstation taking into account available resources, logistical parameters and the smoothing of the job load. Existing APC approaches are usually either carried out as event-driven sequencing [18] or agent-based sequencing [24].…”

Section: Maintenance In Apcmentioning

confidence: 99%

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Integrating maintenance strategies in autonomous production control using a cost-based model

Grepl

Ansari²,

Viharos³

et al. 2021

ACTA IMEKO

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<p class="Abstract">Autonomous production control (APC) is able to deal with challenges, inter alia, high delivery accuracy, shorter planning horizons, increasing product and process complexity, and frequent changes. However, several state-of-the-art approaches do not consider maintenance factors contributing to operational and tactical decisions in production planning and control. The incomprehensiveness of the decision models and related decision support tools cause inefficiency in production planning and thus lead to a low acceptance in the manufacturing enterprises. To overcome this challenge, this paper presents a conceptual cost-based model for integrating different maintenance strategies in autonomous production control. The model provides relevant decision aspects and a cost function for different maintenance strategies using on a market-based approach. The present work thus makes a positive contribution to cope with the high demands on flexibility and response times in planning while at the same time ensuring high plant productivity.</p>

show abstract

Section: Maintenance In Apcmentioning

confidence: 99%

Section: Maintenance In Apcmentioning

confidence: 99%

Integrating maintenance strategies in autonomous production control using a cost-based model

Grepl

Ansari²,

Viharos³

et al. 2021

ACTA IMEKO

View full text Add to dashboard Cite

show abstract

“…The necessary information to the production station is part of the linked information. When the production order of a superordinate part is completed, the next production order can be created for the following part within the chaining of the BOM [16].…”

Section: Physical Modeling For Virtual Manufacturing Systems and Procmentioning

confidence: 99%

Reactive Production Control - Information to Control a Production

Kasakow¹,

Aurich²

2017

AMM

Self Cite

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Sustainable protection and expansion of the competitiveness of the industrial location Germany is an important topic of current research. How can manufacturing companies in high wage countries counter the challenges of market turbulences? Crucial for the competitiveness of these companies is the compensation of wage and salary costs through highly efficient processes. A promising approach is to increase the responsiveness of a company. Responsiveness means, to react as quickly as possible to events or changes of the market, which are not yet evident and can not be foreseen at the time of production system planning. An increase of responsiveness enables companies to react quickly and flexible to market turbulences. The question arises, which market information are relevant, to which a company has to react as quickly as possible in order to handle market turbulence. This paper addresses this issue and identifies relevant information, that are already known during the phase of product development, and the unknown information of the market, to which an existing production system has to react in order to compensate market turbulences. The interplay of known and unknown information enables a responsive production control. The origin and usage of this information, which enables reactive production control, are a part of this article and are explained therein.

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“…In order to meet the ever-changing customer demands, smart manufacturing also needs to intelligently integrate and coordinate the entire manufacturing supply chain [8]. Backboned by complex event processing technology, event-driven architecture (EDA) can reduce the amount of information communicated in the system [9], and is known to be strong at processing high-volume complex event streams [10]. Furthermore, owing to its extremely loose coupled and highly distributable nature, EDA has advantages of integrating and coordinating the various organizations and their manufacturing resource and information resource throughout the supply chain.…”

Section: Introductionmentioning

confidence: 99%

Auto-configurable Event-Driven Architecture for Smart Manufacturing

Cao

Xing

2017

Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing

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In order to meet the ever-changing customer demands, smart manufacturing needs to intelligently integrate and coordinate the entire manufacturing supply chain. Event-driven architecture has been considered as a promising enabler for smart manufacturing. However, in the primitive event-driven architecture all components work in parallel, and there are few frameworks or standards that deal with organizing and managing the components. This paper proposes an ontology based holonic event-driven architecture for smart manufacturing systems. Powered by the developed ontology model and Semantic Web technology, the ontology based architecture enables the distributed components in a smart manufacturing system to be configured autonomously and collaborate with each other even when they don't know much about their counterpart.

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Event-driven Production Planning and Control Based on Individual Customer Orders

Cited by 9 publications

References 7 publications

Integrating maintenance strategies in autonomous production control using a cost-based model

Integrating maintenance strategies in autonomous production control using a cost-based model

Reactive Production Control - Information to Control a Production

Auto-configurable Event-Driven Architecture for Smart Manufacturing

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