Modeling of interdependencies between products, processes and resources to support the evolution of mechatronic systems

Hoang, Xuan-Luu; Marks, Philipp; Weyrich, Michael; Fay, Alexander

doi:10.1016/j.ifacol.2017.08.873

Cited by 22 publications

(4 citation statements)

References 2 publications

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“…Yin et al (2016) consider the topological dependencies with assembly tooling (Yin et al, 2016). Some assessment methods capture the dependencies with process resources and process parameters (Siddharth and Sarkar, 2017;Hoang et al, 2017;Do et al, 2008). Masood et al (2017a) assessed implications of product architecture changes in conjunction with supply network design during the early stages of product design to increase the resultant resilience of the offsite manufacturing supply network.…”

Section: Multi-domain Ec Assessment Methodsmentioning

confidence: 99%

Characteristics of changeable systems across value chains

Masood

Kern

Clarkson

2020

International Journal of Production Research

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Engineering changes (ECs) are inevitable for businesses due to increasing innovation, shorter lifecycles, technology and process improvements and cost reduction initiatives. The ECs could propagate and cause further changes due to existing system dependencies, which can be challenging. Hence, change management (CM) is a relevant discipline, which aims to reduce the impact of changes. EC assessment methods form the basis of CM that support in assessing system dependencies and the impact of changes. However, understanding of which factors influence the changeability across value chains (VCs) is limited. This research adopted a VC approach to EC assessment. Dependencies in products and processes were captured, followed by risk (i.e. likelihood x impact) assessment of ECs using change prediction method (CPM). Four industrial case studies were conducted (3x automotive, 1x furniture manufacturing) to identify design (product) and manufacturing (process) elements with high risk to be affected by ECs. Based on the case results, characteristics were identified that influence changeability across VC. This contributed to the CM domain while businesses could also use the results to assess ECs across VC, and improve the design of products and processes by increasing their changeability across VC e.g. by proactive decoupling or reactive handling of system dependencies.

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Section: Multi-domain Ec Assessment Methodsmentioning

confidence: 99%

Characteristics of changeable systems across value chains

Masood

Kern

Clarkson

2020

International Journal of Production Research

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“…2 Initial situation, case study and conceptual design of the methodology possible to process the matrix on a computer, which will improve the methodology's industrial applicability in future research. The application of MDMs to model interdependencies within manufacturing was first presented by Hoang et al, who used an MDM to model interdependencies between a process, resources and a product for single mechatronic systems [35]. A simplified MDM for the LVAD is depicted in Fig.…”

Section: Modeling the Established Manufacturing Process Chainmentioning

confidence: 99%

Methodology for the identification of alternative manufacturing changes for safety–critical components

Bergs

Hermann

Rey

et al. 2020

Prod. Eng. Res. Devel.

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A variety of factors are forcing companies to change their products and the components these products are composed of. Examples of current factors are changing customer requirements, product optimizations or ever-shorter product lifecycles. These component changes, particularly in safety-critical components in the medical and aerospace industry, pose great challenges and are limited in scope. The challenges and limitations arise from the high costs and the amount of time involved in component recertification as required by law, as well as revalidations of the manufacturing after a change has been implemented. Some component changes are even mandatory. In this case there are no options for reducing recertification efforts by choosing between different design changes. In contrast, there are alternative manufacturing options with which to implement the prescribed component changes that can reduce the amount of revalidation required on the manufacturing side. Due to the fact that changes to the manufacture of safety-critical components require validation, the existence of alternative manufacturing changes offers the potential to save time and money by selecting the best-suited alternative. In order to be able to select the best-suited alternative, all alternative manufacturing changes must be known, which poses a challenge for technology planners dealing with the complex manufacture of safety-critical components. Therefore, a methodology is introduced to support technology planners in identify alternative manufacturing changes with which to implement scope-restricted changes to safety-critical components. The methodology is validated by applying it to a case study from the medical industry.

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“…Hoang et al studied the relations between processes and resources using an interdependency matrix including process, resource and product. However, the matrix has the drawback of taking a long time to be developed and it is valid only for a particular process chain and a determined product [18].…”

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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Modeling of interdependencies between products, processes and resources to support the evolution of mechatronic systems

Cited by 22 publications

References 2 publications

Characteristics of changeable systems across value chains

Characteristics of changeable systems across value chains

Methodology for the identification of alternative manufacturing changes for safety–critical components

Methodology for integrative production planning in highly dynamic environments

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