Early cost estimating in product design

Dewhurst, P.; Boothroyd, G.

doi:10.1016/0278-6125(88)90003-9

Cited by 76 publications

(29 citation statements)

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“…F1 Product design and its complexity involvement in cost estimation Dewhurst and Boothroyd (1988), Jung (2002) The obtained 12 models can be classified to two classes: cost models considering product design complexity in cost estimating and others only based on planned production information. The 12 models are then presented through 2 sub-sections as follows.…”

Section: Interesting Features Modelsmentioning

confidence: 99%

“…4. This model is defined in Dewhurst and Boothroyd (1988). The model is dedicated to manufacturing cost estimation for machining and injection molding processes.…”

Section: Product Design Based Cost Modelsmentioning

confidence: 99%

“…,H'mida et al (2006),Boothroyd et al (2011),Quintana and Ciurana (2011),Shehab and Abdalla (2002),Ou-Yang and Lin (1997), andSwift and Booker (2013) F2 Different types of resources and their automation levels considering (at least manual and machines)Dewhurst and Boothroyd (1988),Jung (2002),Son (1991),Boothroyd et al (2011), and Shehab and Abdalla (2002) F3 Multiple resources handling in the process (more than one resource)Son (1991) and H'mida et al (2006) F4 Use of process graphic representation to provide a global view and easier cost estimation Pehrsson et al (2011) and H'mida et al (2006) F5 Decomposition to operations and cost per operations approach/Activity-based costing Son (1991), H'mida et al (2006), Boothroyd et al (2011), Shehab and Abdalla (2002), Ou-Yang and Lin (1997), and Swift and Booker (2013) F6 Time values determination source provided Jung (2002): empirical numeric formulas involving parts features; Boothroyd et al (2011): DFA time estimates tables; Shehab and Abdalla (2002): fuzzy sets for uncertainties handling, Swift and Booker (2013): time indexes tables F7 Standardized approach for generic application to assembly, or to manufacturing including assembly Son (1991), Pehrsson et al (2011), H'mida et al (2006), Boothroyd et al (2011), Shehab and Abdalla (2002), Ou-Yang and Lin (1997), and Swift and Booker (2013) F8 Cost rate computation and its considered components detailedSon (1991),Boothroyd et al (2011), Shehab andAbdalla (2002),Ou-Yang and Lin (1997), and Swift and Booker (2013) F9 Non-productive costs/overheads considered (tool change, set-up, etc. )Dewhurst and Boothroyd (1988),Jung (2002),Son (1991),Jha (1992),Jha (1996Jha ( ), H'mida et al (2006,Boothroyd et al (2011),Abdalla (2002), andOu-Yang andLin (1997) …”

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confidence: 99%

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A review of cost estimation models for determining assembly automation level

Salmi

David

Blanco

et al. 2016

Computers & Industrial Engineering

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Section: Interesting Features Modelsmentioning

confidence: 99%

“…4. This model is defined in Dewhurst and Boothroyd (1988). The model is dedicated to manufacturing cost estimation for machining and injection molding processes.…”

Section: Product Design Based Cost Modelsmentioning

confidence: 99%

mentioning

confidence: 99%

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A review of cost estimation models for determining assembly automation level

Salmi

David

Blanco

et al. 2016

Computers & Industrial Engineering

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“…As a result of which, more efficient product with less cost can be developed and thus improving sales [2]. According to Dewhurst et al [3], early cost estimation in product design is intended to form the basis for the design analysis for product design for efficient manufacture.…”

Section: Introductionmentioning

confidence: 99%

Redesigning of Shopping Cart for Cost Reduction Using DFMA

2017

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Abstract. Product Design is a way of creating new designs for various products to be sold by a business to customers. It is very efficient as certain new designs and ideas can lead to products with less cost. The two methodologies of design for manufacture and assembly (DFMA) include design for manufacture (DFM) which is concentrated on reducing the number of redundant parts for the ease of manufacturing and also design for assembly (DFA) which is concentrated on reducing the assembly time of the parts included in the design of the product. It also helps to reduce the inefficiency and waste in the product design. This paper includes a case study of manufacture and assembly costs estimation of a shopping cart which is widely used in supermarkets, department stores all around the world. The main aim of this paper is to reduce the overall manufacturing cost of the shopping cart. The CAD model of the different parts of the shopping cart was generated using solid works and then analysed using the DFMA software. The outcomes were studied and the re-design is done. The final assembly cost of the re-designed product was compared to that of the existing design and the results are discussed.

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“…Research work reported in the literature includes Boothroyd and Dewhurst's mathematical model for estimation of machining cost and empirical model for injection molding cost estimation (Dewhurst and Boothroyd, 1987); Apgar and Daschbach's parametric cost estimation model (Apgar and Daschbach, 1987); Boothroyd and Reynolds' costing model for machining rotational components on a CNC lathe (Boothroyd and Reynolds, 1989); Knight and Poli's work on a cost analysis tool for forged components (Knight and Poli, 1985); and Poli, Fenoglio and Shunmugasundaram's work on a relative cost model for injection molding and die casting processes (Poli et al, 1991). London et al have developed an expert system architecture that includes a cost estimation module and a tutorial module.…”

Section: Introductionmentioning

confidence: 99%

A knowledge-based approach to design for manufacturability

Venkatachalam

1993

J Intell Manuf

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In the light of growing global competition, organizations around the world today are constantly under pressure to produce high-quality products at an economical price. The integration of design and manufacturing activities into one common engineering effort has been recognized as a key strategy for survival and growth. Design for manufacturability (DFM) is an approach to design that fosters the simultaneous involvement of product design and process design. The implementation of the DFM approach requires the collaboration of both the design and manufacturing functions within an organization. Many reasons can be cited for the inability to implement the DFM approach effectively, including: lack of interdisciplinary expertise of designers; inflexibility in organizational structure, which hinders interaction between design and manufacturing functions; lack of manufacturing cost information at the design phase; and absence of integrated engineering effort intended to maximize functional and manufacturability objectives. The purpose of this research is to show how expert systems methodology could be used to provide manufacturability expertise during the design phase of a product. An object-and rule-based expert system has been developed that has the capability: (1) to make process selection decisions based on a set of design and production parameters to achieve cost-effective manufacture; and (2) to estimate manufacturing cost based on the identified processes. The expertise for primary process selection is developed for casting and forging processes. The specialized processes considered are die casting, investment casting, sand casting, precision forging, open die forging and conventional die forging. The processes considered for secondary process selection are end milling and drilling. The cost estimation expertise is developed for the die casting process, the milling and drilling operations, and the manual assembly operations. The results obtained from the application of the expert system suggest that the use of expert systems methodology is a feasible method for implementing the DFM approach.

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Early cost estimating in product design

Cited by 76 publications

References 1 publication

A review of cost estimation models for determining assembly automation level

A review of cost estimation models for determining assembly automation level

Redesigning of Shopping Cart for Cost Reduction Using DFMA

A knowledge-based approach to design for manufacturability

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