Decentralized planning and control for assembly areas driven by Gentelligent&amp;#x00AE; parts

Schmidt, Matthias; Fronia, Philip; Fisser, Frank; Nyhuis, Peter

doi:10.1109/ieem.2007.4419360

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…To give an example for the assembly of parts with a real time capable, part driven control, static information such as a part list of the components which are to be mounted can be stored. Herewith, it is further possible to prepare an assembly process by having a part driven picking, up to the completion starting with a selected key part [8]. Accordingly, information relevant to other utilizations of Gentelligent ® Parts can also be stored.…”

Section: A Development Of the Data Modelmentioning

confidence: 99%

“…After the potentials of the Gentelligent ® Technology (GI Technology) have been identified and presented in [8] with focus on the controlling of the assembly of parts, an approach has to be developed that concentrates on the entire value adding chain. For this reason, a data model has to be established that samples needed information systematically without redundancies.…”

Section: Introductionmentioning

confidence: 99%

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Part based decentralized information handling for process improvements along the supply chain

Schmidt

Hartmann

Nyhuis

2008

2008 IEEE International Conference on Industrial Engineering and Engineering Management

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Gentelligence ® " is a neologism which consists of the two words "genetic" and "intelligent". Gentelligent ® Parts are basically components which are able to save information. The special and specific property is that they have both the ability to save and store information and to handing it over to the next component generation. Lifecycle information is saved in a continuous process. Due to these characteristics, Gentelligent ® Parts can serve as a decentralized Enterprise Information System (EIS). As a result, it is possible to identify extensive potential for improving logistic and technical processes arising along the product evolutionary process and during the usage phase. This article provides insight into both the principle of Gentelligent ® Parts as well as the corresponding data structure and targeted process improvements.

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Section: A Development Of the Data Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Part based decentralized information handling for process improvements along the supply chain

Schmidt

Hartmann

Nyhuis

2008

2008 IEEE International Conference on Industrial Engineering and Engineering Management

Self Cite

View full text Add to dashboard Cite

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Coupling order release methods with autonomous control methods – an assessment of potentials by literature review and discrete event simulation

Grundstein

Schukraft

Scholz‐Reiter

et al. 2015

Int. J. Prod. Manag. Eng.

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Production planning and control faces increasing uncertainty, dynamics and complexity. Autonomous control methods proved themselves as a promising approach for coping with these challenges. However, there is a lack of knowledge regarding the interaction between autonomous control and precedent functions of production planning and control. In particular, up to now previous research has paid no attention to the influence of order release methods on the efficiency of autonomous control methods. Thereby, many researchers over the last decades provided evidence that the order release function has great influence on the logistic objective achievement in conventional production systems. Therefore, this paper examines the influence of order release methods on the efficiency of autonomous control methods by both theoretic evaluation and discrete event simulation. The simulation results indicate an overall high influence. Moreover, the logistic performance differs considerably depending on the implemented order release methods and the combinations of order release methods with autonomous control methods. The findings highlight demand for further research in this field.

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Decentralized planning and control for assembly areas driven by Gentelligent® parts

Cited by 2 publications

References 4 publications

Part based decentralized information handling for process improvements along the supply chain

Part based decentralized information handling for process improvements along the supply chain

Coupling order release methods with autonomous control methods – an assessment of potentials by literature review and discrete event simulation

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