Fuzzy analysis for higher effectiveness of control chart

Kabir, Golam; Mithy, Sharmin Nahar; Hasin, M. Ahsan Akhtar

doi:10.1504/ijqi.2011.043487

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…Since quality is defined as meeting customer needs, product needs are essential in customer satisfaction [40]. Therefore, it is inherent to utilize a customer-focused design strategy to develop products and services to satisfy customer expectations [41].…”

Section: Literature Reviewmentioning

confidence: 99%

Service Quality Improvement Strategy in The Auto Insurance Industry: Customer Perspective Study

Andriani

2023

IJIE

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Service quality is one of the parameters of conformity between consumers' perceived and expected services and influences the company's sustainability. In an insurance company, quality service is essential because advising quality services is important to develop more trusted engagement with the whole customers. In this study, the analysis of quality services was performed using gap analysis and quality function deployment (QFD) in auto insurance companies with intense competition. Gap analysis is required to identify the quality dimensions to be improved. While technical improvement actions are generated using the QFD method by mapping consumer needs and technical actions through the house of quality (HOQ) matrix. The results showed that using the integration of gap analysis and QFD, the auto insurance company received the gap scores and obtained recommendations for technical actions that could be adopted for continuous improvement.We propose continuous improvement by using a service blueprint to show the entire service process.

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Section: Literature Reviewmentioning

confidence: 99%

Service Quality Improvement Strategy in The Auto Insurance Industry: Customer Perspective Study

Andriani

2023

IJIE

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“…Chan et al (1999) combined triangular fuzzy numbers and entropy methods to determine the final importance of the customer requirements. Several researchers have developed fuzzy AHP based on the QFD model to prioritize customer requirements (Kabir & Hasin, 2011;Liu;2011;Vanegas & Labib, 2001;Lin, 2003;Chan & Wu, 2005;Kahraman et al, 2006). Chan et al (1999) used a fuzzy arithmetic approach to determine the importance of each requirement.…”

Section: Sharma (2012)mentioning

confidence: 99%

Customer Driven Quality Improvement of a Specific Product Through Ahp and Entropy Based Qfd: A Case Study

Karmaker

Halder²,

Ahmed

2019

IJAHP

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Understanding the voice of the customers (VOCs) and properly incorporating their preferences and perceptions into the conceptual design process is the core step of customer-driven product development. To improve customer satisfaction and market profitability, the design team should have a customer-driven quality management and product development system. Quality function deployment (QFD) is an important customer-driven quality management tool that helps identify customer requirements and translate them into proper technical measures. This paper focuses on the application of the AHP and an entropy-based QFD approach on a manufacturing company to improve the quality of its product (blender) and determine the priorities for further improvement. The paper shows how customer requirements can be identified and applied to prioritize the design requirements for improving the quality of a blender. The Analytic Hierarchy Process (AHP) is integrated to determine the final importance of the weights of the customer needs, and entropy is used to determine the set of priority ratings. This integrated framework can help achieve an effective evaluation of the final design solution for product development by overcoming the pitfalls of the traditional QFD approach. An application in a Bangladeshi company that produces blenders is presented to illustrate the performance of the proposed approach.

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A unique fuzzy multi-control approach for continuous quality improvement in a radio therapy department

et al. 2015

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Fuzzy analysis for higher effectiveness of control chart

Cited by 4 publications

References 14 publications

Service Quality Improvement Strategy in The Auto Insurance Industry: Customer Perspective Study

Service Quality Improvement Strategy in The Auto Insurance Industry: Customer Perspective Study

Customer Driven Quality Improvement of a Specific Product Through Ahp and Entropy Based Qfd: A Case Study

A unique fuzzy multi-control approach for continuous quality improvement in a radio therapy department

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