Manufacturing plant control challenges and issues

Morel, Guillaume; Valckenaers, Paul; Faure, Jean-Marc; Pereira, Carlos Eduardo; Diedrich, Christian

doi:10.1016/j.conengprac.2007.05.005

Cited by 80 publications

(20 citation statements)

References 36 publications

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“…Product-driven control is a way to exchange the hierarchical integrated vision of plant-wide control for a more interoperable/intelligent one [4], by dealing with products whose information content is permanently bound to their material content and which are able to influence decisions made about them [5]. This approach is applicable at the supply chain level to improve products information management, with applications of the system in tracking and logistics control [6].…”

Section: Introductionmentioning

confidence: 98%

The performance of product-driven manufacturing control: An emulation-based benchmarking study

Pannequin

Morel

Thomas

2009

Computers in Industry

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International audienceProduct-driven control may enable manufacturing companies to meet business demands more quickly and effectively. But a key point in making this concept acceptable by industry is to provide benchmarking environments in order to compare and analyze their efficiency on emulated large-scale industry-led case studies with regard to current technologies and approaches. In this paper, a benchmarking protocol is defined, in order to provide R\&D practitioners with benchmarking services in a product-driven implementation project. A component-based generic architecture is proposed to support this protocol, enabling to model and compare various control architectures. This benchmarking protocol is applied to an automotive-industry case study in order to evaluate the impact of making the products interact with the local decision centers. Finally the experiments show that product-driven control can perform as good as traditional centralized control, and that its robustness depends mainly of the local decision-making processes

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Section: Introductionmentioning

confidence: 98%

The performance of product-driven manufacturing control: An emulation-based benchmarking study

Pannequin

Morel

Thomas

2009

Computers in Industry

Self Cite

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“…Heterarchical control approaches are becoming increasingly attractive for controlling a production system (Morel, Valckenaers, Faure, Pereira, & Diedrich, 2007). In fact, the requirements of the industry have evolved from traditional performance criteria, described in terms of static optimality or near-optimality, to new performance criteria, described in terms of reactivity, adaptability and robustness (Schreiber (2007), cited in Sauer, 2008).…”

Section: Introductionmentioning

confidence: 98%

An effective potential field approach to FMS holonic heterarchical control

Pach

Bekrar

Zbib

et al. 2012

Control Engineering Practice

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“…Moreover, the customer calls for traceability as a basic product attribute. Products without a manufacturing history are becoming virtually worthless (Morel et al 2007). Identification technologies such as RFID provide the eyes for the distribution systems.…”

Section: Introductionmentioning

confidence: 99%

Improvements in operations management applied to a 3D simulation connected to a physical platform

2010

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Logistics are a key factor for manufacturing companies in developed countries to better exploit their competitive advantages of proximity to market and flexibility. In order to improve the management of a logistics/distribution center, this paper proposes the use of control methods based on Multi-Agent Systems enhanced with Radio-Frequency Identification. However, the best way to demonstrate the benefits of using these solutions, is to apply them to a real company; but, naturally, this is impractical. In this paper, an experimental platform composed of a 3D simulation combined with a physical miniature model is used to illustrate the proposed control methods. The set-up described here has been assembled in the AUTOLOG laboratory at the University of Castilla-La Mancha in Spain. The design of the platform is somewhat generic, allowing adaptation to different distribution problems, but has been inspired on a real local facility. The objective of this system is to provide a testbench to experiment with multidisciplinary theories, techniques, and algorithms that can be grouped into four areas: automation and robotics, instrumentation and control, production planning, and logistics and distribution.

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Manufacturing plant control challenges and issues

Cited by 80 publications

References 36 publications

The performance of product-driven manufacturing control: An emulation-based benchmarking study

The performance of product-driven manufacturing control: An emulation-based benchmarking study

An effective potential field approach to FMS holonic heterarchical control

Improvements in operations management applied to a 3D simulation connected to a physical platform

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