Subsystems Change Ranking Methodology (SCRaM) for Complex Product Redesign Process

Romli, Fairuz Izzuddin; Cheang, Kian Hou; Chew, Jun Xian; Rafie, Azmin Shakrine Mohd

doi:10.4028/www.scientific.net/amr.308-310.167

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…In order to demonstrate the implementation feasibility and practicality of a new proposed design framework, a sample application case study is commonly used. For instances, Romli et al [49] illustrated potential use of their proposed new subsystems change ranking methodology (SCRaM) for complex product redesign process through an aircraft case study while Zhang et al [50] showed the feasibility of their proposed design framework using sample smart train case study. In line with this standard practice, a s imple validation experiment case study using the proposed IQM design framework is conducted with a few volunteering undergraduate students.…”

Section: 3simple Validation Studymentioning

confidence: 99%

A comprehensive 7M IoT adoption model-a lifecycle shift paradigm

Ibrahim¹,

Romli²,

Arep³

et al. 2021

IJATEE

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One of the primary issues with many product design and development processes today is to have a good balance between the elements of form and function. While all products must be able to perform their intended functions, considerations of aesthetic features are also necessary for them to be accepted as a good quality design. However, most available design and development processes of engineering products have been more focused on achieving the functional aspects and tend to treat the aesthetic aspects as less crucial features. This approach has led to many failed functional products in the market as their physical design lacks appealing factors to the targeted customers. To improve the situation, a new product design and development framework is proposed in this study to better facilitate designers or engineers in creating an all -rounded quality product design. This new method is developed based on the findings from conducted survey among engineeringstudents, who are future product design engineers, to identify and resolve issues with current methods that they use for their design tasks. All in all, the new proposed method is essentially tailored to offer a comprehensive guide for developing beautiful and useful products based on semantics design approach.

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Section: 3simple Validation Studymentioning

confidence: 99%

A comprehensive 7M IoT adoption model-a lifecycle shift paradigm

Ibrahim¹,

Romli²,

Arep³

et al. 2021

IJATEE

View full text Add to dashboard Cite

show abstract

“…Repeated changes can reduce the capacity of components to absorb changes. This means susceptibility to propagating change can only be determined statistically [16] [17], and in the end each change requires its own propagation analysis, which depends critically on knowledge of the operating margins of each component [13].…”

Section: Impact Of Change Ordersmentioning

confidence: 99%

Engineering Change Management Concepts for Systems Modeling

Bock¹,

Feeney²

2013

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A significant cost of manufactured systems arises in changing system specifications after they have been built and delivered to customers. This might be due to errors in the original specifications, feedback from customers, competition from other producers, or new ideas for product improvement. It involves revisiting decisions and tasks that were considered completed, including modifying engineering specifications produced by these activities. This paper reviews engineering change management to understand the demands it places on system models and modeling languages, in particular the Systems Modeling Language.

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Use of Monte Carlo method to estimate subsystem redesign risk for complex products: aircraft redesign case study

Romli

Harmin

2015

Aircraft Eng & Aerospace Tech

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Purpose – The purpose of this paper is to achieve the capability of redesigning complex products system with enhanced efficiency and effectiveness. Design/methodology/approach – It is noted that, by changing one subsystem in a complex product design architecture, the change effects can be propagated to other subsystems through their interrelationships. This condition has to be taken into account when deciding on which subsystems to be modified in the redesign plan because the subsequent effects might be too risky for the development process. Estimating redesign risk for complex product architectures is not an easy task, thus designers often need a decision-making aid to efficiently select the best “change initiating” subsystems. This can be done by providing the designers with a ranking of subsystems based on their estimated redesign risk. Moreover, this decision-making process is taking place during early redesign stages whereby the uncertainties related to the actual level and type of changes to be made on the subsystems are high. Because of this, a stochastic approach is taken to be more appropriate in deriving the redesign risk estimates. This leads to the proposed application of the Monte Carlo method to estimate the subsystem redesign risk for complex products, as demonstrated through an example case study of aircraft redesign. Findings – This use of the Monte Carlo method helps to distinguish the level of risks associated with each subsystem in the complex product design architecture, which is helpful for designers while making decisions on which subsystems to be changed for the redesign task at hand. Practical implications – This technique can be applied to assist designers in making decisions during the early stages of the redesign process under high design uncertainties. Originality/value – The work presents a new alternative method to estimate the redesign risks of subsystems in complex products that can improve the effectiveness of the designer’s decision-making process in the early redesign stages. While many other available change methods tend to ignore the uncertainty associated with the decision-making process, the method presented here directly takes into account the stochastic nature of the process.

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Subsystems Change Ranking Methodology (SCRaM) for Complex Product Redesign Process

Cited by 4 publications

References 11 publications

A comprehensive 7M IoT adoption model-a lifecycle shift paradigm

A comprehensive 7M IoT adoption model-a lifecycle shift paradigm

Engineering Change Management Concepts for Systems Modeling

Use of Monte Carlo method to estimate subsystem redesign risk for complex products: aircraft redesign case study

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