Assessing the Impact of Changes and their Knock-on Effects in Manufacturing Systems

Plehn, Christian; Stein, Florian; Neufville, Richard de; Reinhart, Gunther

doi:10.1016/j.procir.2016.11.083

Cited by 22 publications

(20 citation statements)

References 23 publications

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“…Some literature is focussed on another type of methods covering only dependencies within a manufacturing system (Plehn et al, 2016;Gernhardt et al, 2016;Bauer et al, 2017).…”

Section: Assessment Methodsmentioning

confidence: 99%

“…In proactive decision-making, the change impact is assessed to prevent changes in critical areas (Yin et al, 2017;Giffin et al, 2009;Lee and Hong, 2015) and to increase the changeability in both the product (Koh et al, 2015;Schuh et al, 2017) and the processes (Hawer et al, 2017;Plehn et al, 2016). In reactive decisionmaking, the change impact is assessed to compare different change options (Koh et al, 2012;Ullah et al, 2017) and to implement changes more effectively and efficiently (Pasqual and De Weck, 2012;Kocar and Akgunduz, 2010;Ou-Yang and Cheng, 2003).…”

Section: Why Is It Important To Assess the Change Propagation?mentioning

confidence: 99%

“…It is also evident from the literature review that there is a reported gap that assessment of ECs lacks in the consideration of other domains, especially of the process domain (Siddharth and Sarkar, 2017;Ullah et al, 2017;Plehn et al, 2016;Koch et al, 2016;Hamraz and Clarkson, 2015;Hamraz et al, 2012;Koh et al, 2012).…”

Section: Literature Gap and Its Relevancementioning

confidence: 99%

See 2 more Smart Citations

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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“…Some literature is focussed on another type of methods covering only dependencies within a manufacturing system (Plehn et al, 2016;Gernhardt et al, 2016;Bauer et al, 2017).…”

Section: Assessment Methodsmentioning

confidence: 99%

Section: Why Is It Important To Assess the Change Propagation?mentioning

confidence: 99%

See 1 more Smart Citation

Characteristics of changeable systems across value chains

Masood

Kern

Clarkson

2020

International Journal of Production Research

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“…Manufacturing models deal with a multitude of interdisciplinary dependencies. They aim at predicting changes and estimating change impact based on the systems' manufactured products, the technical system itself and the involved stakeholders, such as engineers (Plehn et al 2016). Hybrid approaches, which take into account the complexity and interdisciplinarity of innovation projects in manufacturing, move into focus by adding the concept of agility to the set of models (Brandl et al 2018).…”

Section: Manufacturing Modelmentioning

confidence: 99%

Interdisciplinary engineering of cyber-physical production systems: highlighting the benefits of a combined interdisciplinary modelling approach on the basis of an industrial case

et al. 2020

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In the context of cross-disciplinary and cross-company cooperation, several challenges in developing manufacturing systems are revealed through industrial use cases. To tackle these challenges, two propositions are used in parallel. First, coupling technical models representing different content areas facilitates the detection of boundary crossing consequences, either by using a posteriori or a priori connection. Second, it is necessary to enrich these coupled technical models with team and organizational models as interventions focusing on the collaboration between individuals and teams within broader organizational conditions. Accordingly, a combined interdisciplinary approach is proposed. The feasibility and benefits of the approach is proven with an industrial use case. The use case shows that inconsistencies among teams can be identified by coupling engineering models and that an integrated organizational model can release the modelling process from communication barriers.

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“…Validation efforts are not considered. Approaches with similar attributes were developed by Plehn [24] and Cichos et al [25]. An approach considering component characteristics and offering a systematic procedure to identify MCs was developed by Karl et al [26].…”

Section: State Of Research Regarding the Identification Of Alternativmentioning

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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Assessing the Impact of Changes and their Knock-on Effects in Manufacturing Systems

Cited by 22 publications

References 23 publications

Characteristics of changeable systems across value chains

Characteristics of changeable systems across value chains

Interdisciplinary engineering of cyber-physical production systems: highlighting the benefits of a combined interdisciplinary modelling approach on the basis of an industrial case

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

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