Article2004

QFD‐ and VE‐enabled target costing: a fuzzy approach

R. Gandhinathan · N. Raviswaran · M. Suthakar

27 citations0/0 files storedInternational Journal of Quality & Reliability Management

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Quality Function Deployment in Product Design Accounting and Organizational Management Management and Optimization Techniques

Abstract

Globalization has provided excellent opportunities for the global manufacturing community together with a stringent barrier on cost control. Target costing has emerged as one of the main tools in aiding the manufacturers to be globally competitive. This paper analyses the effect of tools such as quality function deployment (QFD) and value engineering (VE) on target costing and explores the way in which these tools assist in achieving the target cost. The target costing model developed by Cooper and Slagmulder (Cooper, R. and Slagmulder, R.,Target Costing and Value Engineering, Productivity Press, New York, NY, 1997) has been modified and tools such as QFD and VE have been incorporated in the model. Due to inherent uncertainties in the associated cost of various elements, the model has been further strengthened with the use of fuzzy logic. The theoretical model developed was implemented in an Indian auto component manufacturing company and the results were analysed. Target costing significantly relies upon QFD and VE for its effective implementation. Uncertainty in cost estimation plays a significant role in the target costing process since any variation in cost violates the cardinal rule of target costing, “the target cost should never be exceeded”. Fuzzy logic plays a vital role in accounting for uncertainty in the target costing process and gives a different perspective to arrive at the function cost. A functional approach (VE) combined with QFD backed by fuzzy approach appears to work effectively for a target costing process that is evidenced from the case study. It appears that the model developed will work satisfactorily for an industrial product and the validity of the model for fast moving consumer goods has to be ascertained.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 27 citations exist upstream.

References

1988The House of Quality 2017Target Costing and Value Engineering 1988Value Engineering 1999Developing profitable new products with target costing 2000Target costing for supply chain management: criteria and selection

Cited by

2020IDENTIFYING AND PRIORITIZING COST REDUCTION SOLUTIONS IN THE SUPPLY CHAIN BY INTEGRATING VALUE ENGINEERING AND GRAY MULTI-CRITERIA DECISION-MAKING 2014Multi-objective optimization approach for cost management during product design at the conceptual phase 2007Revisão, análise e classificação da literatura sobre o QFD: tipos de pesquisa, dificuldades de uso e benefícios do método 2008Concurrent multifunction deployment (CMFD)2020Integration of quality function deployment (QFD) and value engineering in improving the quality of product: A literature review 2024Integrated Value Engineering with QFD and DFA as Product Design and Development Techniques: Literature Review 2014Financial feasibility and value engineering principles integrated quality function deployment for a manufacturing organization 2017Application of QFD & VE & lean approach for control tests in a product design

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.