Adaptive process planning

Denkena, Berend; Lorenzen, Leif-Erik; Schmidt, Justin

doi:10.1007/s11740-011-0353-7

Cited by 17 publications

(11 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This step might be automatically done or partially supported by CAPP, e.g. by adaptive process planning [33]. However, in any case it is important to determine the meta information of the repair feature like required manufacturing processes, process parameters and limitations on flexibility.…”

Section: Repair Featurementioning

confidence: 99%

Programming of adaptive repair process chains using repair features and function blocks

Spöcker

Schreiner

Huwer

et al. 2015

Journal of Computational Design and Engineering

View full text Add to dashboard Cite

The current trends of product customization and repair of high value parts with individual defects demand automation and a high degree of flexibility of the involved manufacturing process chains. To determine the corresponding requirements this paper gives an overview of manufacturing process chains by distinguishing between horizontal and vertical process chains. The established way of modeling and programming processes with CAx systems and existing approaches is shown. Furthermore, the different types of possible adaptions of a manufacturing process chain are shown and considered as a cascaded control loop. Following this it is discussed which key requirements of repair process chains are unresolved by existing approaches. To overcome the deficits this paper introduces repair features which comprise the idea of geometric features and defines analytical auxiliary geometries based on the measurement input data. This meets challenges normally caused by working directly on reconstructed geometries in the form of triangulated surfaces which are prone to artifacts. Embedded into function blocks, this allows the use of traditional approaches for manufacturing process chains to be applied to adaptive repair process chains

show abstract

Section: Repair Featurementioning

confidence: 99%

Programming of adaptive repair process chains using repair features and function blocks

Spöcker

Schreiner

Huwer

et al. 2015

Journal of Computational Design and Engineering

View full text Add to dashboard Cite

show abstract

“…To overcome these undefined behavior situations the data format manifest can specify if data is output or read as a list (compare Figs. 7,8,9).…”

Section: Wrapper Agentmentioning

confidence: 99%

“…Flexible process chains have the capability to dynamically adapt to varying inputs [9]. There are multiple reasons for introducing flexibility: first, products are nowadays often designed to be highly customizable while each variation might be produced in small lot sizes.…”

Section: Introductionmentioning

confidence: 99%

Reducing data loss within adaptive process chains in the context of commonly-used CAx systems

Klocke

Spöcker

Huwer

et al. 2015

Prod. Eng. Res. Devel.

View full text Add to dashboard Cite

In many industries the focus in CAx based manufacturing has changed from fixed process chains to ones which can adapt to dynamic inputs. This way process chains can take measurement data into account to produce optimal results. Unfortunately, existing approaches do not integrate well with the existing CAx systems since they do not ensure that existing processes will be kept unchanged. This restriction leads to a low adaption rate in some industries. Especially in the aerospace industry every change in the manufacturing processes will result in high costs. In this paper it is shown that an extended function block approach can be integrated with existing CAx systems while allowing the modeling and controlling of adaptive process chains with reduced data loss at the same time. In order to achieve this goal, data port manifests are introduced which announce supported data formats and features of the corresponding function block. This extension reduces information loss at system interfaces and helps to ensure that required data will be transferred between function blocks. A case study will show how this extension can be used in a common CAx system

show abstract

“…Even approaches to adaptive production control, e.g. adaptive process planning and control by Denkena et al [1], which increase flexibility and the ability to react to disturbances in an optimized way, are not suitable to compensate for these seasonal fluctuations in capacity.…”

Section: Introductionmentioning

confidence: 99%

Optimization of delivery adherence based on capacity planning and bid pricing

Denkena¹,

Dittrich²,

Wilmsmeier³

et al. 2020

Prod. Eng. Res. Devel.

View full text Add to dashboard Cite

Sales revenues of enterprises are often subject to seasonal fluctuation. This leads to high or low utilized resources and this in turn to revenue losses. Hence, the enterprises invest a high effort to improve long and short-term resource utilization. In this context, disregarding future capacity utilization within the process of quotation leads to short-timed capacity adjustments for instance, additional work hours across seasons. This paper presents an approach which focuses on dependencies between costs and capacity by linking cost pricing and production scheduling. A first evaluation at an MTO supplier shows that order delays can be reduced by up to 95% and total costs by 21% compared to using the most appropriate priority rule.

show abstract

Adaptive process planning

Cited by 17 publications

References 15 publications

Programming of adaptive repair process chains using repair features and function blocks

Programming of adaptive repair process chains using repair features and function blocks

Reducing data loss within adaptive process chains in the context of commonly-used CAx systems

Optimization of delivery adherence based on capacity planning and bid pricing

Contact Info

Product

Resources

About