Design for Changeability: Incorporating Change Propagation Analysis in Modular Product Platform Design

Schuh, Guenther; Riesener, Michael; Breunig, Stefan

doi:10.1016/j.procir.2016.11.238

Cited by 18 publications

(13 citation statements)

References 8 publications

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“…The dependencies between product components are assessed by the methods with the lowest granularity (Clarkson et al, 2004;Koh et al, 2013;Keller et al, 2005;Ullah et al, 2017;Ou-Yang and Cheng, 2003;Lee and Hong, 2015;Ullah et al, 2018;Koh, 2017). Methods with a higher granularity decompose the product into different layers (structure, behaviour, function) (Hamraz and Clarkson, 2015), into product parameters (Masmoudi et al, 2017;Yin et al, 2017) and into degrees of freedom (Schuh et al, 2017). Consequently, the dependencies within a product are described from different levels of detail.…”

Section: Ec Assessment Methodsmentioning

confidence: 99%

“…It is challenging that changes could propagate along the existing system dependencies and cause further changes throughout the system (Terwiesch and Loch 1999;Schuh, Riesener, and Breunig 2017). Jarrett et al (2011) summarised three characteristics that influence change propagation: the number, the specification and the complexity of system dependencies.…”

Section: Challenges and Characteristics That Influence Change Propagamentioning

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%

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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: Ec Assessment Methodsmentioning

confidence: 99%

Section: Challenges and Characteristics That Influence Change Propagamentioning

confidence: 99%

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

confidence: 99%

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Characteristics of changeable systems across value chains

Masood

Kern

Clarkson

2020

International Journal of Production Research

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“…Some recent publications extended product platform design and optimization framework to incorporate supply chain, as the platform itself and product variants inevitably affect supply chain operation and costs . Other recent advances in product platform‐related research include establishing a relationship between the product platform and inherent system attributes, such as complexity and changeability, which can be used to optimize product platforms for additional system attributes in addition to commonality and modularity.…”

Section: Literature Reviewmentioning

confidence: 99%

Value chain and stakeholder‐driven product platform design

Choi

Suh

Park

2019

Systems Engineering

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Product platform design and development is an arduous process that involves multiple stakeholders both inside and outside of a company. However, owing to its benefits, product platform has been widely implemented in the industry. Although numerous methodologies for product platform option generation, selection, and optimization have been proposed and demonstrated through various case studies, only a few researchers have explored and demonstrated a product platform design process that considered various value chain impacts. Herein, a value chain and stakeholderdriven product platform design process is introduced. The process is demonstrated through a case study, where different water purifier product platform options were generated and evaluated for their effects on value chain, such as organization structure, production line configuration, economic effect, and preferences of different stakeholders. K E Y W O R D SProduct Platform, Quality Function Deployment, Value Chain Analysis, Water Purifier 1 wileyonlinelibrary.com/journal/sys Systems Engineering. 2020;23:312-326.

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“…Clarkson [24] proposes a change prediction method to calculate the risk of direct and indirect change propagation. In [25], an efficient engineering change management (ECM) is presented as a key enabler for the agile product development of physical products.…”

Section: Change Prediction and Propagation In The Conceptual Design Amentioning

confidence: 99%

Model-Based System Reconfiguration: A Descriptive Study of Current Industrial Challenges

Qasim

Janković

Olaru

et al. 2018

Complex Systems Design &Amp; Management

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System Reconfiguration is essential in management of complex systems because it allows companies better flexibility and adaptability. System evolutions have to be managed in order to ensure system effectivity and efficiency through its whole lifecycle, in particular when it comes to complex systems that have decades of development and up to hundreds of years of usage. System Reconfiguration can be considered and deployed in different lifecycle phases. Two significant phases are considered for configuration management and System Reconfiguration: design-time-allowing system performances by modifying the architecture in early stages-and run-time-allowing optimization of performances during the in-service operations. This paper gives an overview of a field research being initiated and currently undergoing to capture the strengths and the shortages in the current industrial landscape. It also discusses possible future management strategies with regard to identified issues and challenges.

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Design for Changeability: Incorporating Change Propagation Analysis in Modular Product Platform Design

Cited by 18 publications

References 8 publications

Characteristics of changeable systems across value chains

Characteristics of changeable systems across value chains

Value chain and stakeholder‐driven product platform design

Model-Based System Reconfiguration: A Descriptive Study of Current Industrial Challenges

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