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Related Concept Videos

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Design Example01:23

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Related Experiment Videos

Developing new services using fuzzy QFD: a LIFENET case study.

Zillur Rahman1, M N Qureshi

  • 1Department of Management Studies, Indian Institute of Technology, Roorkee, India. yusuffdm@iitr.ernet.in

International Journal of Health Care Quality Assurance
|December 6, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces fuzzy Quality Function Deployment (QFD) to understand healthcare customer needs, improving strategic decisions and market positioning for LIFENET in a competitive Indian market.

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Area of Science:

  • Healthcare Management
  • Operations Research
  • Decision Science

Background:

  • Understanding diverse customer needs is crucial for healthcare service providers.
  • Market competition necessitates strategic approaches to meet evolving demands.
  • Uncertainty and imprecision in customer feedback can hinder effective service planning.

Purpose of the Study:

  • To propose fuzzy Quality Function Deployment (QFD) for assessing LIFENET customers' explicit and implicit needs.
  • To guide strategic portfolio optimization and competitor analysis for LIFENET.
  • To establish revised targets for customer satisfaction and profitability in a competitive healthcare market.

Main Methods:

  • A fuzzy QFD methodology is developed to address LIFENET's strategic objectives.
  • Fuzzy logic is employed to manage uncertainty and vagueness in customer data.
  • Symmetric triangular fuzzy numbers (STFNs) enhance data accuracy for needs assessment.
  • The House of Quality (HOQ) matrix is utilized for comprehensive requirement analysis.

Main Results:

  • Fuzzy QFD effectively translates customer needs (WHATs) into actionable technical parameters (HOWs).
  • The QFD HOQ facilitates critical comparisons (e.g., WHATs vs. HOWs) for strategic insights.
  • This approach aids in revising targets to maintain market competitiveness.
  • Fuzzy QFD provides a framework for successful customer-centric management in the health industry.

Conclusions:

  • Assessing Indian healthcare customer needs is challenging due to individual variability in decision-making factors (cost, response time, satisfaction).
  • Fuzzy QFD can help LIFENET identify preferred health services, supporting strategic expansion and first-mover advantages.
  • The method assists in avoiding potentially detrimental long-term investment decisions.