1985
DOI: 10.1080/00207548508904714
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Computer-aided tool cost estimating: an evaluation of the labour content of injection moulds

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Cited by 7 publications
(4 citation statements)
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“…Sundaram and Maslekar [8] used regression model approach in injection mold cost estimation. Lowe and Walshe [9] used labor involvement in injection mold making as a reference; mold cost was estimated using linear regression analysis.…”
Section: Previous Workmentioning
confidence: 99%
“…Sundaram and Maslekar [8] used regression model approach in injection mold cost estimation. Lowe and Walshe [9] used labor involvement in injection mold making as a reference; mold cost was estimated using linear regression analysis.…”
Section: Previous Workmentioning
confidence: 99%
“…Like conventional tool-cost-estimat- [4][5][6] ing methods, they are meant to be applied after the tooling system has been detailed. Therefore, they are inadequate as a measure of comparison to the costs of alternative parts and mold designs that can be proposed for a new product at the early stages of product design.…”
Section: Design Of a Cost-based System For Molded Partsmentioning
confidence: 99%
“…Table 1 summarizes the cost-estimation methods proposed in the past for injection-moulded, permanent-mould casting and die-cast parts. Lowe and Walshe (1985) developed a system for calculating the total manufacturing hours required for the preparation of an injection mould. However, their system was mainly concerned with the labour content of tool manufacture.…”
mentioning
confidence: 99%
“…They considered part complexity by calculating the total number of surfaces for calculating the mould manufacturing cost, but part design feature complexity and tolerance considerations were not addressed in their work. In addition, the system was based on a labour cost model given by Lowe and Walshe (1985) to find the die manufacturing cost. Bidanda et al (1998) developed an integrated castability and cost-estimation system for parts to be produced by permanent mould casting.…”
mentioning
confidence: 99%