Cost evaluation in design with form features

Feng, Cheng; Kusiak, Andrew; Huang, Chun‐Che

doi:10.1016/0010-4485(96)00009-7

Cited by 49 publications

(22 citation statements)

References 9 publications

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“…It is, however justified, because in most cases, at early stages of a design project, there will be inadequate data for full cost consideration. Typically, in current advanced design industries, parametric and statistical modelling techniques based on design features are used for determining the cost of a product or assembly (Feng et al 1996, Roy and Palacio 2000, Cavalieria and Maccarrone 2004, H'mida et al 2006, Qian and Ben-Arieh 2008. However, it has been shown by one of the present authors (Agyapong-Kodua et al 2007) that cost modelling for advanced manufacturing systems should carefully consider processes required for manufacturing, particularly taking process sequences, resources consumed during process realisation, inventories, resource sharing, resource availability and material flows into consideration.…”

Section: Results From Product-process Models and Comparison With Convmentioning

confidence: 92%

An integrated product–process design methodology for cost-effective product realisation

Agyapong-Kodua¹,

Brown²,

Darlington³

et al. 2012

International Journal of Computer Integrated Manufacturing

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Methods related to Design for X are known to have contributed positively to product designs, resource selection and realisation of products. Despite these achievements, frequent design errors which can be attributed to the lack of integration of design and manufacturing concepts exist. Departmentalisation, skill concentration and protection of institutional interests contribute largely to the non-full integration of design and manufacturing methods. This article adopts a process-engineering approach which supports the development and integration of product and process models for design concept analysis. The methodology described in this article is part of a broad-based design methodology with a potential to improve design and manufacturing integration and offers solutions for effective and timely reconfiguration of manufacturing systems in view of meeting market demands.

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Section: Results From Product-process Models and Comparison With Convmentioning

confidence: 92%

An integrated product–process design methodology for cost-effective product realisation

Agyapong-Kodua¹,

Brown²,

Darlington³

et al. 2012

International Journal of Computer Integrated Manufacturing

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show abstract

“…Literature [4] establishes mapping between resources and cost center, and mapping between production activity and parts by resource-driving factor and activity cost-driving factor, and develops the activity-based costing model. Literature [5] uses directed graph of geometric features to represent production process and establishes the feature-based cost estimation model. Qualitative methods mainly include cost estimation methods based on rules and cost estimation methods based on instances.…”

Section: Literature Reviewmentioning

confidence: 99%

Product Family Configuration Price Prediction Based On Neural Network

Lai¹,

Lin²,

Wu³

2018

dtcse

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Abstract. In order to quickly and effectively respond to customer enquiry in the dynamic changeable market, a new method for product family configuration price prediction is proposed based on neural network with adjustable number of hidden layer nodes. Based on product family configuration history of various product variants and the corresponding prices, the relationship model between the product configuration and price is established using neural network, which is utilized to predict the market price of the newly configured product variant for some random order.

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“…complies with the current trend of the mechanical engineering community. For design, manufacturing and cost estimating activities, this notion presents a federative aspect (Wierda 1991, Feng et al 1996, Kiritsis et al 1999, Wei and Egbelu 2000. As a reminder, a manufacturing feature is a parameterized geometrical form (dimensions, tolerances, surface quality, etc.)…”

Section: Formulationmentioning

confidence: 99%

A constraint approach (flexible CSP) for alternative cost estimation of a mechanical product

H'Mida¹,

Vernadat

2008

International Journal of Production Research

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Most product cost estimation systems propose as output a single cost corresponding to a single process plan. In design activities, the lack of information about the cost structure (e.g. composition) and about the production processes (i.e. process plans) does not help the designer to make the targeted modifications for cost reduction. The need of having a representation that takes into account the multiplicity of the technical solutions, and a management of the alternative product realizations, led us to model the product cost estimation in the form of a flexible constraints satisfaction problem (flexible CSP). In this article, the principles used for the design of a decision support system based on the flexible CSP approach are presented and intended to manage the constraints related to the production cost estimation. For a given mechanical part or product, this model makes it possible to determine a set of process plan solutions with a cost for each one. The best solutions, ranked in decreasing order, are those which maximize a satisfaction degree. An application is presented using the Con'flex CSP environment.

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Cost evaluation in design with form features

Cited by 49 publications

References 9 publications

An integrated product–process design methodology for cost-effective product realisation

An integrated product–process design methodology for cost-effective product realisation

Product Family Configuration Price Prediction Based On Neural Network

A constraint approach (flexible CSP) for alternative cost estimation of a mechanical product

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