Simulation-based dimensioning of manufacturing process chains

Denkena, Berend; Henjes, Jan; Henning, Helge

doi:10.1016/j.cirpj.2011.06.015

Cited by 21 publications

(3 citation statements)

References 2 publications

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“…In each process pair, the output of the first process becomes the input of the second one, which creates complex interdependencies that define the so-called technological interface between the component technologies. 38,39 By implementing the concept of technological interfaces between two consecutive processes, a link between the processes is established, and the effect of their combined set of capability parameters on the performance of a process pair can be modelled and assessed. Thus, at the technology level, the interfaces between component manufacturing technologies in such process chains are systematically analysed in order to assess both their individual and combined capabilities and also their compatibility and complementarity.…”

Section: Methodsmentioning

confidence: 99%

Technology maturity assessment of micro and nano manufacturing processes and process chains

Vella

Dimov

Minev

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part B:

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Section: Methodsmentioning

confidence: 99%

Technology maturity assessment of micro and nano manufacturing processes and process chains

Vella

Dimov

Minev

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…Bei direkten Zusammenhängen wirkt sich die Prozessanpassung auf den unmittelbaren Folgeprozess aus, bei indirekten erst auf spätere Prozesse [1]. Eine Planung von Einzelprozessen ohne Berücksichtigung der Wirkbeziehungen kann folglich dazu führen, dass nur lokale Verbesserungen erzielt werden, für die Gesamtprozesskette jedoch kein positiver Effekt eintritt [2].…”

Section: Einführungunclassified

Prozesskettenplanung unter Unsicherheit/Process chain planning under uncertainty – Consideration of internal and external uncertainties during planning of process chains across companies

Denkena¹,

Wichmann²,

Kettelmann³

2023

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Die Planung von fertigungstechnischen Prozessketten über Unternehmensgrenzen hinweg ist aufgrund technologischer Wirkbeziehungen zwischen Prozessschritten eine große Herausforderung. In diesem Beitrag wird eine Planungsmethode vorgestellt, die mit dezentralen Modulen eine unternehmensübergreifende Optimierung der Fertigungskosten ermöglicht. Zusätzlich werden Unsicherheiten durch Modellfehler sowie externe Einflüsse in die Methode eingebunden. Dadurch wird eine kollaborative Planung umgesetzt, die zu robusten Ergebnissen führt. Planning of manufacturing process chains across companies is a great challenge due to technological interdependencies. This paper presents a planning method enabling cross-company manufacturing cost optimization with decentralized modules. In addition, uncertainties due to model errors as well as external factors made are integrated into the method. This allows for collaborative planning and leads to robust results.

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“…However, it is important to note that most approaches focus on the optimisation of single processes without considering potential interdependencies with subsequent processes. As Denkena et al [17] state, it is questionable whether a singleprocess oriented optimisation results in a global optimum. In contrast to single-process oriented optimisation approaches, a holistic process chain optimisation considers all processes of the process chain as well as their interactions.…”

Section: State Of the Artmentioning

confidence: 99%

Methodology for integrative production planning in highly dynamic environments

Denkena¹,

Dittrich²,

Jacob³

2019

Prod. Eng. Res. Devel.

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Flexibility has become one of the most important characteristics in modern manufacturing. As a result, process chains must be highly adaptable to varying demands and to new products. Furthermore, many process chains contain external processes from suppliers to handle the fluctuating process utilisation. Moreover, novel manufacturing processes that allow an even higher flexibility, such as additive manufacturing, have been introduced. In order to identify optimal parameters for flexible process chains and considering interactions between processes, a new approach for production planning is necessary. This article presents a methodology for integrative production planning in highly dynamic environments thereof. The introduced methodology is applied on two industrial use cases with the aim of identifying optimal process elements and parameters taking production costs and time under consideration. The results show that the developed methodology allows for successful modelling and optimisation of the process chain.

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Simulation-based dimensioning of manufacturing process chains

Cited by 21 publications

References 2 publications

Technology maturity assessment of micro and nano manufacturing processes and process chains

Technology maturity assessment of micro and nano manufacturing processes and process chains

Prozesskettenplanung unter Unsicherheit/Process chain planning under uncertainty – Consideration of internal and external uncertainties during planning of process chains across companies

Methodology for integrative production planning in highly dynamic environments

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