Browsing by Author "Arundachawat, Panumas"

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    Design Rework Prediction in Concurrent Design Environment: Current Trends and Future Research Directions
    (Cranfield University Press, 2009-03-31) Arundachawat, Panumas; Roy, Rajkumar; Al-Ashaab, Ahmed; Shehab, Essam; Rajkumar Roy; Essam Shehab
    This paper aims to present state-of-the-art and formulate future research areas on design rework in concurrent design environment. Related literatures are analysed to extract the key factors which impact design rework. Design rework occurs due to changes from upstream design activities and/or by feedbacks from downstream design activities. Design rework is considered as negative iteration; therefore, value in design activities will be increased if design rework is reduced. Set-based concurrent engineering is proposed as an alternative design approach to mitigate design rework risk, however, duplication effort for designing set of artefacts are still needed to consider before selecting set-based concurrent engineering in design activities.
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    The Development of Methods to Estimate and Reduce Design Rework
    (Cranfield University, 2012) Arundachawat, Panumas; Roy, Rajkumar; Al-Ashaab, Ahmed
    Design rework includes unnecessary repetition in design tasks to correct design problems. Resolving design matters in advance, through in-depth understanding of the design planning and rework issues and development of effective predictive tools could contribute to higher business profit margins and a faster product time-to-market. This research aims to develop three novel and structured methods to predict the design rework occurrence and effort at the very early design stage, which may otherwise remain undiscovered until the testing and refinement phase. The major contribution obtained from the Design Rework Probability of Occurrence Estimation method, DRePOE, is the development of design rework drivers. The developed drivers have been synthesised with data from interview results, direct observations, and archival records obtained from eleven world-class aerospace and automotive components manufacturers. To predict the probability of occurrence, the individual score of each driver was compared against historical records utilising the analogy-based method. The Design Rework Effort Estimation method, DREE, was developed to interconnect functional structures and identify failure relationships among components. A significant contribution of The DREE method is its capability to assess the design rework effort at the component level under the worst-case scenario. Next a Prioritisation Design by Design Rework Effort Based method, PriDDREB, was developed to provide a tool to forecast the maximum design rework given the constraint. This method provides a tool to determine and prioritise the components that may require a significant design rework effort. The three methods developed were validated with an automotive water pump, a turbocharger, and a McPherson strut suspension system in accordance with the validation square method. It is demonstrated that DRePOE, DREE, PriDDREB methods can offer the product design team a means to predict the probability of design rework occurrence and assess the required effort during the testing and refinement phase at the very early design phase.