Benchmarking and QFD: accelerating the successful implementation of no clean soldering

Gutiérrez, Sergio Andrés Parra; Tulkoff, Cheryl

doi:10.1109/iemt.1994.404741

Cited by 4 publications

(3 citation statements)

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“…Those correlations are used as the input parameters for the product design optimization by using mathematical programming. For accelerating successful implementation, a combination of benchmarking and the QFD method was suggested by Gutierrez and Tulkoff in 1994 [11], with the Austin's Electronic Card Assembly and Test (ECAT) manufacturing process applied as the case study. Customer satisfaction was obtained when the time taken to make similar changes was reduced.…”

Section: Literature Reviewmentioning

confidence: 99%

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Applying Quality Function Deployment in Open Innovation Engineering

Rianmora

Werawatganon

2021

Journal of Open Innovation: Technology, Market, and Complexity

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The purpose of the present study was to identify the customer requirements and engineering attribute expectations of an innovative product to which a Kano’s model and quality function deployment (QFD) analysis was applied. In order to accomplish the research, a new water filling machine design was used as the case study. This alternative machine was aimed at making life more convenient and to support people interested in small businesses, since a Do-It-Yourself (DIY) filling machine saved production costs. This research began by classifying the obtained answers from questionnaires into groups. We then conducted a statistical analysis on potential users. The number of elements of the customer requirements was 11 and the number of engineering attributes expected was 5. The customer requirements of the innovated automatic filling machine was quickly identified. The machine, therefore, was designed and evaluated according to the considerations and relationships between customer requirements and engineering characteristics, where the cost and the machining capacity were considered important factors in the analysis.

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Section: Literature Reviewmentioning

confidence: 99%

“…Moreover, this method is essential, especially in terms of product design and innovation. The concept of QFD is very effective at giving the appropriate engineering elements at each stage of engineering design, production process, and development and prototype evaluation [11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Applying Quality Function Deployment in Open Innovation Engineering

Rianmora

Werawatganon

2021

Journal of Open Innovation: Technology, Market, and Complexity

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“…However, in Butler's treatment, there were no explicit cost factors for PWAs related to environmental costs. Guitierrez and Tulkoff (1994) report savings for PWA product and process design changes that include waste reduction, labor reduction, utilities reduction, and material cost reduction. In other financial models, life-cycle costing for both production and disassembly of electronics has been developed (Brouwers and Stevels 1995;Cramer and Stevels 1995;Willeins and Stevels 1995).…”

Section: Lca Dfe Environmental Management and Production Planning mentioning

confidence: 99%

Activity‐Based Environmental Inventory Allocation

Stuart

Turbini

Ammons

1998

J of Industrial Ecology

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Summary This article presents a generic method to assist product and process designers in measuring resource use and environmental discharges based on the relationships between process flow inputs and outputs and their activity levels. It combines activity‐based costing from conventional accounting with life‐cycle inventories. The method is demonstrated on four electronic assembly product and process designs. The demonstration exhibits the disaggregation and allocation of costs and effluents from various manufacturing operations. This activity‐based environmental allocation approach may be integrated with inventory analysis‐the first step in full and streamlined life‐cycle assessments, design for environment evaluation methods, environmental management activities, and new production planning models that consider environmental impacts.

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