Classification and mitigation of uncertainty as per the product design stages: framework and case study

Kumar, Prabhat; Tandon, Puneet

doi:10.1007/s40430-017-0822-9

Cited by 7 publications

(4 citation statements)

References 130 publications

(127 reference statements)

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“…This article mainly focuses on the uncertainty in the engineering design field. Effectiveness of a product development strongly depends on how it handles uncertainty (Kumar and Tandon 2017). However, at present, there is no unified definition for uncertainty in the design field.…”

Section: The Connotation Of Uncertainty For Product Platformmentioning

confidence: 99%

“…To further understand the connotation of uncertainty in the design field, some scholars have studied the classification of uncertainty, which has different connotations from various perspectives: (i) uncertainty can be divided into 'exogenous uncertainty' and 'endogenous uncertainty' depending on whether the source of uncertainty is outside or within the system boundary, such as de Weck, Eckert, and Clarkson (2007); (ii) uncertainty can be divided into 'aleatory uncertainty' and 'epistemic uncertainty' depending on whether the uncertainty is objective irreducible or subjective reducible, such as Dantan et al (2013), Kumar and Tandon (2017); (iii) uncertainty can be divided into 'data uncertainty' that the data itself is incomplete and inaccurate, and 'description uncertainty' that the description of information is unclear and has not a specific boundary, such as Hastings and McManus (2004) and Clarkson and Eckert (2010). In fact, the above uncertain classifications also have mutual relations, as shown in Figure 1.…”

Section: The Connotation Of Uncertainty For Product Platformmentioning

confidence: 99%

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A systematic literature review of product platform design under uncertainty

Han

Wang

et al. 2019

Journal of Engineering Design

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With intense global competition, many enterprises adopt platform strategies to develop diverse products with a lower corresponding increase in cost and a shorter lead time. In the past, enormous efforts have been made in investigating product platforms. Recent researches and practices show that developing Uncertainty-Oriented Product Platform (UOPP) is a promising approach to improving the adaptability of enterprises to meet uncertain markets, customer requirements, technologies, policies, and regulations, etc., which includes flexible product platform, adaptable product platform, market-driven product platform, and sustainable product platform. This paper provides a comprehensive review in this field, including the connotation of uncertainty, the concepts of emerging UOPPs, the development process of UOPP, as well as the development technologies in each step. It also highlights the future research framework, opportunities and challenges. This literature review lays the foundation for future research of product platform design under uncertainty.

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Section: The Connotation Of Uncertainty For Product Platformmentioning

confidence: 99%

Section: The Connotation Of Uncertainty For Product Platformmentioning

confidence: 99%

A systematic literature review of product platform design under uncertainty

Han

Wang

et al. 2019

Journal of Engineering Design

View full text Add to dashboard Cite

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“…For instance, the attempts to manage uncertainties, instead of obtaining knowledge to limit fuzziness, as well as to test deliberately provisional versions of products, characterize agile development. Agile methodologies and approaches based on articulated plans are somehow at the antipodes (Kumar and Tandon, 2017). Agile product development foresees that prototypes are tested in the marketplace and this allows for a continuous acquisition of knowledge (a sort of learning process) with regard to both technical and customer-related aspects (Schuh et al, 2017).…”

Section: Potential New Trends In Early Product Design Phasesmentioning

confidence: 99%

Investigating the future of the fuzzy front end: towards a change of paradigm in the very early design phases?

Borgianni

Cascini

Rotini

2018

Journal of Engineering Design

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Investigating the future of the Fuzzy Front End: towards a change of paradigm in the very early design phases? Many scholars argue that very early design phases are not supported adequately in many respects, although they are at the cornerstone of successful new product development. Difficulties in developing appropriate methods emerge because of the need to account for uncertainties and ambiguities that feature the Fuzzy Front End. This is likely the reason behind the limited industrial adoption of existing design methods, especially those that are oriented to support Product Planning. In this context, the thrust of the paper is the attempt to identify key activities and functions featuring Product Planning. The study entrusts figures about the foreseeable growth of the intensity of research displayed by classes of methods supporting different functions in Product Planning. As the data, emerging from the application of S-curves, indicate no preferential direction in the medium term, other phenomena are monitored that might overturn the conventional systematic course of action to design in the early stages. The "trial-and-error" learning approach characterizing agile strategies can be seen as a partial answer to the expected demise of research about Product Planning. Beyond these conclusions, the paper includes a frame of reference that classifies Product Planning methods (adequately reviewed) beyond the classical distinction between responsive and proactive approaches.

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“…A better way to ascertain the availability of these sub features in the design concepts is to carry out part analysis of the designs to see which parts are responsible for the functions related to the design sub features (Hambali et al, 2009). Furthermore, design expert's decision has been used in apportioning weights to the design features particularly during evaluation of design alternatives (Kumar and Tandon, 2017). This is necessary because it determines which design alternative satisfies the desired design features.…”

Section: Introductionmentioning

confidence: 99%

Adopting hybridized multicriteria decision model as a decision tool in engineering design

Olabanji

Mpofu

2019

JEDT

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Purpose The purpose of this paper is to determine the suitability of adopting hybridized multicriteria decision-making models as a decision tool in engineering design. This decision tool will assist design engineers and manufacturers to determine a robust design concept before simulation and manufacturing while all the design features and sub features would have been identified during the decision-making process. Design/methodology/approach Fuzzy analytical hierarchy process (FAHP) and fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) are hybridized and applied to obtain optimal design of a reconfigurable assembly fixture (RAF) from a set of alternative design concepts. Design features and sub features associated with the RAF are identified and compared using fuzzified pairwise comparison matrices to obtain weights of their relative importance in the optimal design. The FAHP obtained the fuzzy synthetic extent (FSE) values of the design features and sub features. The FSE values are used as weights of the design features and sub features in generating the decision matrix. FTOPSIS and FTOPSIS based on left and right scores were adopted to predict effects of the weights. Results were obtained for normalized and unnormalized weights of the design features and its effects on the relative closeness coefficients of the design alternatives. Findings The improved performance of the FTOPSIS based on left and right scores is due to the involvement of the left and right scores of weights of the design features in the computation of distances from positive and negative ideal solutions. Embedding the weights of the design features in the normalized decision matrix before estimating the distances of the design concepts from ideal solutions reduces the dependency of the closeness coefficients on the weights of the design features. This also decreases the difference in the final values of the design concepts. In essence, the weights of the design features have an impact in the closeness coefficient. There is reduction in the closeness coefficients of the design concepts due to normalization of the weights of the design features. However, normalizing the weights of the design features did not affect the variations in the final values of the design concept. As the final value of the design concepts can be influenced by the normalized weights of the design features, it can be implied that normalization of weights of the sub features will also affect the decision matrix. The study has been able to proof that hybridizing FAHP and FTOPSIS can produce effective results for decisions on optimal design by the application of FTOPSIS based on left and right scores rather than the general FTOPSIS. Originality/value This research develops a hybridized multicriteria decision-making model for decision-making in engineering design. It presents a detailed extension of hybridized FAHP and FTOPSIS based on left and right scores as a useful tool for considering the relative importance of design features and sub features in optimal design selection.

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Classification and mitigation of uncertainty as per the product design stages: framework and case study

Cited by 7 publications

References 130 publications

A systematic literature review of product platform design under uncertainty

A systematic literature review of product platform design under uncertainty

Investigating the future of the fuzzy front end: towards a change of paradigm in the very early design phases?

Adopting hybridized multicriteria decision model as a decision tool in engineering design

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