Product and process parameters determination for quality and cost

Jeang, Angus; Lin, Yang-Kuei

doi:10.1080/00207721.2012.760761

Cited by 19 publications

(8 citation statements)

References 20 publications

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“…Monte Carlo simulation and response surface methodology were utilized for developing mathematical optimization model. Jeang and Lin (2014) determined product and process parameters concurrently for combined quality and cost. The objective functions optimized the mean cost, tolerance cost, quality loss and failure cost.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal parameters and tolerances in concurrent product and process design using simulation and fuzzy goal programming

Al–Refaie

Haddadin

Qabaja

2019

IJQRM

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Purpose The purpose of this paper is to propose an approach to determine the optimal parameters and tolerances in concurrent product and process design in the early design stages utilizing fuzzy goal programming. A wheelchair design is provided for illustration. Design/methodology/approach The product design is developed on the basis of both customer and functionality requirements. The critical product components are then determined. The design and analysis of experiments are performed by using simulation, and then the probability distributions are adopted to determine the values of desired responses under each combination of critical product parameters and tolerances. Regression nonlinear models are then developed and inserted as constraints in the complete optimization model. Preferences on product specifications and process settings, as well as process capability index ranges, are also set as model constraints. The combined objective functions are finally formulated to minimize the sum of positive and negative deviations from desired targets and maximize process capability. The optimization model is applied to determine the optimal wheelchair design. Findings The results showed that the proposed approach is effective in determining the optimal values of the design parameters and tolerances of the critical components of the wheelchair with their related process means and standard deviations that enhance desired multiple quality responses under uncertainty. Practical implications This work provides a general methodology that can be applied for concurrent optimization of product design and process design in a wide range of business applications. Moreover, the methodology is beneficial when uncertainty exists in quality responses and the parameters and tolerances of product design and its critical processes. Originality/value The fuzziness is rarely considered in research and development stage. This research considers membership functions for parameters and tolerances of a product and its related processes rather than crisp values. Moreover, presented optimization model considers multiple objective functions, sum of deviations and process capability. Finally, the indirect quality responses are calculated from the best-fit probability distributions rather than assuming a normal distribution.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal parameters and tolerances in concurrent product and process design using simulation and fuzzy goal programming

Al–Refaie

Haddadin

Qabaja

2019

IJQRM

View full text Add to dashboard Cite

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“…Recently, these optimization models have been integrated with inspection plan, production and inventory control, and supply chain management to obtain the optimal parameters in the system under study, e.g. Carlsson [2,3], Pulak and Al-Sultan [22], Roan et al [27], Bowling et al [1], Chen [4], Chen and Lai [5], Darwish [7], Jeang [14][15][16], Jeang and Lin [17], Darwish and Duffuaa [10], Darwish and Abdulmalek [9], Duffuaa and El-Ga'aly [11,12], Darwish et al [8], and so forth.…”

Section: Introductionmentioning

confidence: 99%

Modified economic production and raw material model with quality loss for conforming product

Chen

Chou

Kan

2015

Journal of Industrial and Production Engineering

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In 2000, Roan et al. developed an imperfect production system including raw material procurement cost and finished product cost for determining the optimal process mean, production run size, and raw material order quantity, in which the quality cost of conforming products was not included. Taguchi proposed the quadratic quality loss function for measuring the product quality and redefined the product quality as the loss of society when the product is shipped and sold to the customer. In the present paper, the model developed by Roan et al. is modified with quality loss for obtaining the optimal parameters associated with raw material and production process. Numerical results show that our modified model leads to larger process mean, larger raw material order quantity, higher expected total relevant cost of products, smaller production run size, and smaller number of order quantity of the raw material satisfying each production run than those from the original model, which indicates that the original model given in Roan et al. may underestimate the expected total relevant cost of products due to ignoring the quality loss of conforming products.

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“…To date, product designers normally focus on functionality, quality, and cost, which have long been the most important factors in product design. 1,2 Sustainability has become ever more important in product design. This study advances the concept of ecological design (eco-design) as a system of strategies that aim to integrate environmental aspects throughout a product's life cycle.…”

Section: Introductionmentioning

confidence: 99%

Eco-design case-based reasoning tool: The integration of ecological quality function deployment and case-based reasoning methods for supporting sustainable product design

Romli

Setchi

Prickett

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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Several methods and tools have been developed to facilitate sustainable product design, but they lack critical application of the ecological design (eco-design) process and economic costing, particularly during the conceptual design phase. This research study overcomes these deficiencies by integrating eco-design approaches across all phases of the product life cycle. It proposes an 'eco-design case-based reasoning' (Eco-CBR) tool that is integrated with the recently developed 'ecological quality function deployment' (Eco-QFD) method, which supports sustainable product design. The Eco-CBR tool is an intuitive decision support tool that complements the Eco-QFD method and proposes solutions related to customers' requirements and the environmental and economic impacts of the product. The Eco-QFD method ensures that customers' needs are considered within the context of product sustainability. The novelty of this paper is in the development of the Eco-CBR tool which is based on the premise that if experiences from the Eco-QFD process can be captured in some useful form, designers can refer to and learn from them. This approach helps industrial decision-makers propose solutions by reusing solutions from similar cases and from their past experiences. The novelty is in the way the cases are structured and new cases are generated, using life cycle assessments (LCA), cost estimations and information about related manufacturing processes and means of transportation. This paper demonstrates the applicability of the proposed approach through an http://mc.manuscriptcentral.com/JOEM

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Product and process parameters determination for quality and cost

Cited by 19 publications

References 20 publications

Optimal parameters and tolerances in concurrent product and process design using simulation and fuzzy goal programming

Optimal parameters and tolerances in concurrent product and process design using simulation and fuzzy goal programming

Modified economic production and raw material model with quality loss for conforming product

Eco-design case-based reasoning tool: The integration of ecological quality function deployment and case-based reasoning methods for supporting sustainable product design

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