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QFD in Supply Chain Management
Research Guide

What is QFD in Supply Chain Management?

QFD in Supply Chain Management applies Quality Function Deployment to translate customer requirements into supply chain processes for supplier selection, logistics optimization, and sustainable sourcing.

This subtopic integrates QFD with methods like fuzzy logic, AHP, and ANP to link customer needs to supplier performance metrics. Key frameworks include multi-stage QFD for green supplier evaluation (Büyüközkan and Berkol, 2011) and hybrid QFD-ANP for maritime chains (Lam, 2014). Over 10 papers from 2006-2021 explore these integrations, with Ho (2007) review cited 1128 times.

Curated Papers

Key Challenges

Why It Matters

QFD aligns supply chain decisions with customer satisfaction, enabling sustainable sourcing in energy (Cui et al., 2021, 202 citations) and beverages (Babbar and Amin, 2017, 185 citations). Firms use it for supplier selection under uncertainty (Scott et al., 2014, 198 citations), reducing costs and emissions. Bottani and Rizzi (2006, 250 citations) show fuzzy QFD improves logistics service strategy.

Key Research Challenges

Handling Uncertainty in Criteria

Supply chain QFD faces imprecise customer needs and supplier data, addressed by fuzzy AHP (Chan et al., 2019, 226 citations) over standard AHP. Leal (2019, 279 citations) simplifies AHP for practical use. Integration with PROMETHEE aids green selection (Abdullah et al., 2018, 217 citations).

Multi-Stakeholder Decision Integration

Balancing customer, supplier, and environmental priorities requires stochastic models (Scott et al., 2014, 198 citations). Ho (2007, 1128 citations) reviews AHP integrations for such conflicts. Goal programming in QFD resolves trade-offs (Büyüközkan and Berkol, 2011, 192 citations).

Sustainable Metrics Deployment

Translating sustainability goals to supply chain KPIs challenges traditional QFD matrices. Cui et al. (2021, 202 citations) use interval-valued fuzzy QFD for energy chains. Lam (2014, 183 citations) applies hybrid QFD-ANP for maritime sustainability.

Essential Papers

Integrated analytic hierarchy process and its applications – A literature review

William Ho · 2007 · European Journal of Operational Research · 1.1K citations

AHP-express: A simplified version of the analytical hierarchy process method

José Eugênio Leal · 2019 · MethodsX · 279 citations

Strategic management of logistics service: A fuzzy QFD approach

Eleonora Bottani, Antonio Rizzi · 2006 · International Journal of Production Economics · 250 citations

When should fuzzy analytic hierarchy process be used instead of analytic hierarchy process?

Hing Kai Chan, Xuting Sun, Sai‐Ho Chung · 2019 · Decision Support Systems · 226 citations

Application of PROMETHEE method for green supplier selection: a comparative result based on preference functions

Lazim Abdullah, W. H. K. Chan, Ali Reza Afshari · 2018 · Journal of industrial engineering international · 217 citations

The PROMETHEE is a significant method for evaluating alternatives with respect to criteria in multi-criteria decision-making problems. It is characterized by many types of preference functions that...

Analysis of the innovation strategies for green supply chain management in the energy industry using the QFD-based hybrid interval valued intuitionistic fuzzy decision approach

Haiyun Cui, Zhixiong Huang, Serhat Yüksel et al. · 2021 · Renewable and Sustainable Energy Reviews · 202 citations

A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments

James A. Scott, William Ho, Prasanta Kumar Dey et al. · 2014 · International Journal of Production Economics · 198 citations

Reading Guide

Foundational Papers

Start with Ho (2007) for AHP-QFD literature review (1128 citations), then Bottani and Rizzi (2006) fuzzy logistics QFD (250 citations), and Scott et al. (2014) stochastic supplier models (198 citations) to build core frameworks.

Recent Advances

Study Cui et al. (2021) intuitionistic fuzzy QFD for energy sustainability (202 citations), Babbar and Amin (2017) multi-objective beverages model (185 citations), and Chan et al. (2019) fuzzy AHP conditions (226 citations).

Core Methods

Core techniques: fuzzy QFD matrices, AHP/ANP prioritization, PROMETHEE preference functions, goal programming for trade-offs, and interval-valued intuitionistic fuzzy sets.

How PapersFlow Helps You Research QFD in Supply Chain Management

Discover & Search

Research Agent uses searchPapers and exaSearch to find QFD-supply chain papers like Ho (2007) integrated AHP review, then citationGraph reveals 1128 citing works on fuzzy extensions. findSimilarPapers expands from Bottani and Rizzi (2006) to logistics QFD applications.

Analyze & Verify

Analysis Agent applies readPaperContent to extract fuzzy QFD matrices from Bottani and Rizzi (2006), verifies claims with CoVe against Ho (2007), and runs PythonAnalysis with pandas to recompute AHP priorities from Büyüközkan and Berkol (2011). GRADE grading scores evidence strength for sustainable metrics.

Synthesize & Write

Synthesis Agent detects gaps in stochastic QFD via contradiction flagging across Scott et al. (2014) and Babbar and Amin (2017), while Writing Agent uses latexEditText, latexSyncCitations for Ho (2007), and latexCompile for QFD house-of-quality diagrams. exportMermaid visualizes multi-stage frameworks.

Use Cases

"Reproduce fuzzy AHP weights for green supplier selection from recent QFD papers"

Research Agent → searchPapers('fuzzy QFD supplier selection') → Analysis Agent → readPaperContent(Abdullah et al. 2018) → runPythonAnalysis(pandas AHP computation) → matplotlib weight plots and GRADE verification.

"Draft LaTeX section on hybrid QFD-ANP for maritime supply chains"

Research Agent → citationGraph(Lam 2014) → Synthesis Agent → gap detection → Writing Agent → latexEditText('QFD-ANP framework') → latexSyncCitations([Lam 2014, Ho 2007]) → latexCompile → PDF with compiled diagrams.

"Find open-source code for QFD-based order allocation models"

Research Agent → searchPapers('QFD supplier order allocation') → Code Discovery → paperExtractUrls(Scott et al. 2014) → paperFindGithubRepo → githubRepoInspect → Python sandbox verification of stochastic models.

Automated Workflows

Deep Research workflow scans 50+ QFD papers via searchPapers, structures report on supplier selection trends from Ho (2007) to Cui et al. (2021). DeepScan applies 7-step CoVe to verify fuzzy QFD claims in Bottani and Rizzi (2006). Theorizer generates hypotheses on QFD for resilient chains from citationGraph clusters.

Try Doxa for QFD in Supply Chain Management Research

Frequently Asked Questions

What defines QFD in supply chain management?

QFD translates customer needs into supply chain metrics for supplier selection and logistics using matrices extended with fuzzy AHP (Bottani and Rizzi, 2006).

What methods combine with QFD here?

Fuzzy QFD, AHP-ANP hybrids, PROMETHEE, and goal programming integrate with QFD (Ho, 2007; Büyüközkan and Berkol, 2011; Lam, 2014).

What are key papers?

Ho (2007, 1128 citations) reviews AHP integrations; Bottani and Rizzi (2006, 250 citations) apply fuzzy QFD to logistics; Scott et al. (2014, 198 citations) model stochastic supplier selection.

What open problems exist?

Challenges include real-time uncertainty handling beyond fuzzy sets and scaling QFD to global chains with multi-stakeholder conflicts (Chan et al., 2019; Cui et al., 2021).