Service-oriented Product-driven Manufacturing

Legat, Christoph; Lamparter, Steffen; Seitz, Christian

doi:10.3182/20100701-2-pt-4011.00027

Cited by 12 publications

(8 citation statements)

References 4 publications

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“…In the field of service-oriented manufacturing systems [46], this challenge, namely matching services required by a customer's order with services and possible service orchestrations that hence fulfill a technical process to be realized, is referred to as Manufacturing Service Matching Problem (MSMP) [57]. To perform the MSMP using existing approaches, models that describe all technical processes realized by a plant have to be defined.…”

Section: A Multi-agent System For Mass Customized Productionmentioning

confidence: 99%

Agents enabling cyber-physical production systems

Vogel‐Heuser

Lee

Leitao

2015

At - Automatisierungstechnik

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In order to be prepared for future challenges facing the industrial production domain, Cyber-Physical Production Systems (CPPS) consisting of intelligent entities which collaborate and exchange information globally are being proclaimed recently as part of Industrie 4.0. In this article the requirements of CPPS and abilities of agents as enabling technology are discussed. The applicability of agents for realizing CPPS is exemplarily shown based on three selected use cases with different requirements regarding real-time and dependability. The paper finally concludes with opportunities and open research issues that need to be faced in order to achieve agent-based CPPSs.

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Section: A Multi-agent System For Mass Customized Productionmentioning

confidence: 99%

Agents enabling cyber-physical production systems

Vogel‐Heuser

Lee

Leitao

2015

At - Automatisierungstechnik

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“…Service-oriented manufacturing systems can easily be reconfigured and adapted to changing production programs [3]. Legat et al [4] introduce a service-oriented manufacturing architecture, where an intelligent product passes through several production sites and requests the required processing operations as services from the available resources. Hence, the product can be manufactured by a priori unknown and changeable manufacturing systems.…”

Section: Evolving Manufacturing Systemsmentioning

confidence: 99%

“…The model is explained in four steps: first the model for the description of manufacturing jobs and the modeling of the internal states of resources from [9] is reviewed. Following the model of [4], we assume that manufacturing job corresponds to single product or work piece. Hence, no real parallelism is possible during the manufacturing process (the work piece can only be at one place at a time), but concurrency and a partial order of manufacturing operations nevertheless increases the flexibility to generate scheduling.…”

Section: Scheduling Modelmentioning

confidence: 99%

An Evolutionary Approach on Multi-objective Scheduling for Evolving Manufacturing Systems

Klöpperr¹,

Pater

Dangelmaier

2014

2014 47th Hawaii International Conference on System Sciences

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New paradigms for designing manufacturing systems, such as adaptive and service-oriented manufacturing systems or self-optimizing resources, introduce new degrees of freedom into manufacturing control. These paradigms lead to the research question how human decision makers can be enabled to exploit the high adaptability of the new manufacturing systems in accordance to the current requirements arising from quickly changing market requirements and demand for sustainable manufacturing. This contribution extends a scheduling model for self-optimizing and serviceoriented manufacturing systems through the consideration of alternative resources and introduces a multi-objective scheduling concept based on evolutionary algorithms in combination with a new optimized type of crossover operator.

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“…The solution proposed in this paper provides triggers that can be used and extended for dynamic supply chain selection in an event-driven model. Another important research topic for product-driven manufacturing is the service orientation of these distributed systems [6,7]. The move from supplier-driven manufacturing to customer-driven manufacturing and implicitly to productdriven manufacturing, is affecting the information flow in the system and service orientation proves to be the best architectural choice in this context.…”

Section: Manufacturingmentioning

confidence: 99%

Multi-agent system for heterarchical product-driven manufacturing

Morariu

Răileanu

Morariu

et al. 2014

2014 IEEE International Conference on Automation, Quality and Testing, Robotics

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Product-driven manufacturing has gained a lot of traction recently among practitioners as it has the potential to take flexibility and agility of the manufacturing system to a new level compared to hierarchical control models. The advances in embedded technology have created the premises for the emergence of truly intelligent products that are capable not only of identification and information storage, but also of complex behavior and local decision making. In this context, this paper proposes a multi-agent control system that aims to solve the new challenges introduced by the shift to product-driven manufacturing, specifically addressing the special needs for information flow between shop floor entities and the MES system. The paper presents the pilot implementation, using the JADE multi-agent platform, a backtracking scheduler, an artificial neural network (ANN) for local decision making and the experimental results outlining the agent processing requirements during the product lifecycle.

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Service-oriented Product-driven Manufacturing

Cited by 12 publications

References 4 publications

Agents enabling cyber-physical production systems

Agents enabling cyber-physical production systems

An Evolutionary Approach on Multi-objective Scheduling for Evolving Manufacturing Systems

Multi-agent system for heterarchical product-driven manufacturing

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