Quality function deployment: exploiting interrelationships for progressive prioritization

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jitendra Sharma
Keyword(s):  
Quality Function Deployment ◽  
Real Life ◽  
Weighted Average ◽  
Quality Function ◽  
Content Type ◽  
Prioritization Process ◽  
Research Article ◽  
Proposed Model ◽  
Procedural Complications

PurposeThe purpose of this paper is twofold: to incorporate the symbolic relationships among the attributes of customer requirements (CRs) and engineering characteristics (ECs) as well as to factor in the values numerically to enhance the prioritization process for an improved, comprehensive quality function deployment (QFD) analysis. The aim is to develop the concept of assimilating and factoring in the often-ignored interrelationships among CRs and ECs utilizing the weighted average method for the CR and EC correlations with overall calculations.Design/methodology/approachAfter a brief literature review of the methods utilized, the research paper discusses the framework for the correlation triangle challenge and introduces a novel mathematical solution utilizing triangle values in conjunction with computed initial raw weights for CRs and initial priority scores for ECs. The capability and applicability of the proposed model are demonstrated with a real-life example.FindingsThrough the proposed technique, the roof and the interrelationship triangle's signs and symbols are translated into numerical values for each permutation of ECs and CRs, and then the prioritization values are processed and finalized. The proposed model successfully modifies and removes vagueness from an otherwise overlooked part of the QFD process.Practical implicationsThe illustrated case study aptly proves that the proposed methodology yields more revealing and informative outcomes for engineers and designers, thus adding much-needed reliability to the outcome and its analysis. The validation conducted through the rank comparison endorses the premise, and the results obtained reflect the strength and accuracy of the progressive QFD as a product planning tool.Originality/valueThe research article proposes a fresh and unique QFD approach that solves typical procedural complications encountered in a regular QFD. Whereas the traditional methods neglect the interrelationships among CRs and ECs, this new methodology employs them in an improved, numerical way by incorporating them in quantitative analysis, which leads to judicious and improved decision-making.

scholarly journals Quality function deployment: more than a design tool

2019 ◽  
Vol 11 (2) ◽  
pp. 142-166 ◽  
Author(s):  
Nadiye Ozlem Erdil ◽  
Omid M. Arani
Keyword(s):  
Quality Improvement ◽  
Quality Function Deployment ◽  
Design Tool ◽  
Quality Improvements ◽  
Literature Study ◽  
Quality Function ◽  
Content Type ◽  
Study Approach ◽  
Design Activities

Purpose This paper aims to investigate to what extent quality function deployment (QFD) can be used in quality improvement rather than design activities. Design/methodology/approach A framework was developed for implementation of QFD as a quality improvement tool. A case study approach is used to test this framework, and quality issues were analyzed using the framework in a ceramic tile manufacturing company. Findings The results showed considerable improvements in the critical quality characteristics identified and sales rates, demonstrating the potential of QFD to be used in assessing and prioritizing areas of improvement, and converting them into measurable process or product requirements. Research limitations/implications One case study was completed. More studies would be beneficial to support current findings. Practical implications This framework provides structured approach and guidelines for practitioners in adapting QFD for quality improvements in existing products or processes. Originality/value This study proposes a new framework to use QFD in quality improvement activities, expanding its application areas. Moreover, the results of the literature study performed provide a valuable collection of practical QFD implementation examples.

Interval type-2 fuzzy inference-based failure mode and effect analysis model in a group decision-making setting

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
İlker Gölcük
Keyword(s):  
Failure Modes ◽  
Fuzzy Inference ◽  
Real Life ◽  
Effect Analysis ◽  
Inference System ◽  
Content Type ◽  
Proposed Model ◽  
Interval Type

PurposeThis paper proposes an integrated IT2F-FMEA model under a group decision-making setting. In risk assessment models, experts' evaluations are often aggregated beforehand, and necessary computations are performed, which in turn, may cause a loss of information and valuable individual opinions. The proposed integrated IT2F-FMEA model aims to calculate risk priority numbers from the experts' evaluations and then fuse experts' judgments using a novel integrated model.Design/methodology/approachThis paper presents a novel failure mode and effect analysis (FMEA) model by integrating the fuzzy inference system, best-worst method (BWM) and weighted aggregated sum-product assessment (WASPAS) methods under interval type-2 fuzzy (IT2F) environment. The proposed FMEA approach utilizes the Mamdani-type IT2F inference system to calculate risk priority numbers. The individual FMEA results are combined by using integrated IT2F-BWM and IT2F-WASPAS methods.FindingsThe proposed model is implemented in a real-life case study in the furniture industry. According to the case study, fifteen failure modes are considered, and the proposed integrated method is used to prioritize the failure modes.Originality/valueMamdani-type singleton IT2F inference model is employed in the FMEA. Additionally, the proposed model allows experts to construct their membership functions and fuzzy rules to capitalize on the experience and knowledge of the experts. The proposed group FMEA model aggregates experts' judgments by using IT2F-BWM and IT2F-WASPAS methods. The proposed model is implemented in a real-life case study in the furniture company.

Optimal selection of third-party logistics service providers using quality function deployment and Taguchi loss function

2015 ◽  
Vol 22 (7) ◽  
pp. 1281-1300 ◽  
Author(s):  
Satyendra Kumar Sharma ◽  
Vinod Kumar
Keyword(s):  
Loss Function ◽  
Quality Function Deployment ◽  
Third Party ◽  
Third Party Logistics ◽  
Taguchi Loss Function ◽  
Quality Function ◽  
Content Type ◽  
Logistics Service ◽  
Proposed Model ◽  
Selection Of

Purpose – Selection of logistics service provider (LSP) (also known as Third-party logistics (3PL) is a critical decision, because logistics affects top and bottom line as well. Companies consider logistics as a cost driver and at the time of LSP selection decision, many important decision criteria’s are left out. 3PL selection is multi-criteria decision-making process. The purpose of this paper is to develop an integrated approach, combining quality function deployment (QFD), and Taguchi loss function (TLF) to select optimal 3PL. Design/methodology/approach – Multiple criteria are derived from the company requirements using house of quality. The 3PL service attributes are developed using QFD and the relative importance of the attributes are assessed. TLFs are used to measure performance of each 3PL on each decision variable. Composite weighted loss scores are used to rank 3PLs. Findings – QFD is a better tool which connects attributes used in a decision problem to decision maker’s requirements. In total, 15 criteria were used and TLF provides performance on these criteria. Practical implications – The proposed model provides a methodology to make informed decision related to 3PL selection. The proposed model may be converted into decision support system. Originality/value – Proposed approach in this paper is a novel approach that connects the 3PL selection problem to practice in terms of identifying criteria’s and provides a single numerical value in terms of Taghui loss.

Improving the weight of Technical Attributes in Quality Function Deployment by the Integration of Techniques for Order of Preference by Similarity to Ideal Solution method

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ajit Kumar Singh ◽  
A.M. Rawani
Keyword(s):  
Customer Satisfaction ◽  
Quality Function Deployment ◽  
Solution Method ◽  
Ideal Solution ◽  
Quality Function ◽  
Content Type ◽  
Product Service ◽  
Practical Implications

PurposeThis study aims to integrate the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method with quality function deployment (QFD) which helps to improve the weight of technical attributes by calculating the closeness of particular attributes with the best attributes and farthest from the worst technical attributes simultaneously.Design/methodology/approachFor the fulfilment of the aim of the study, detailed literature is reviewed and a suitable tool for score calculation has been selected. Further, the proposed methodology is applied in a literature-based case study, and a new weight is calculated and compared with the previous weight.FindingsThe finding of the study suggests that higher weightage is assigned to those technical attributes which is very close to the best technical attribute, and lower weightage is assigned to the technical attributes which are very close to worst technical attributes. Therefore, the weight calculated with the help of the proposed methodology will suggest to optimally invest the resources on technical attributes so that the maximum customer satisfaction is achieved.Practical implicationsThe proposed method will help in better score calculation of QFD. Therefore, the use of the proposed method will help in better product and service design for maximum customer satisfaction.Social implicationsProposed methodology aims to help managers, administrators, QFD practitioners and product/service designers to design a new product/service or mange the quality of existing product/services in an effective way.Originality/valueThis is the first kind of study, in which modification in score calculation has been proposed. This modification will help in the better assignment of resources for maximum customer satisfaction.

A three-dimensional house: extending quality function deployment in two organizations

2019 ◽  
Vol 57 (7) ◽  
pp. 1589-1608 ◽  
Author(s):  
Moein Farokhnia ◽  
Mohammad Ali Beheshtinia
Keyword(s):  
Quality Function Deployment ◽  
Design Methodology ◽  
Hybrid Approach ◽  
Three Dimensional ◽  
Competitive Environment ◽  
House Of Quality ◽  
Quality Function ◽  
Content Type ◽  
Proposed Model ◽  
Final Weight

Purpose Nowadays, many organizations use quality function deployment (QFD) in order to recognize their customers’ wants and arrange a set of corrective activities in order to satisfy these wants. In a competitive environment, two or more organizations cooperate in order to meet their customers’ wants. The purpose of this paper is to introduce a new hybrid approach of QFD employing SERVQUAL method, named three-dimensional house of quality (3DHOQ) to help the cooperation between two organizations with common customers by determining some common corrective activities that would satisfy their customers’ wants. Design/methodology/approach In order to better explain the proposed model, it is implemented in Birjand International Airport and Iran Air airline. At first, the customers’ want in the airport and airline sections are identified and the SERVQUAL method is used to determine the final weight of these wants. Afterwards, the corrective activities for satisfying the customers’ wants are determined using the three-dimensional QDF; and then are given weights using the multi-dimensional relation matrix. Findings Results of this study show the customers’ wants in two sections of airport and airline, the importance of each customer want, the gap between customers’ perception and expectation of each want, the collective corrective activities required to satisfy the customers’ wants and the weight of these corrective activities. Research limitations/implications This paper helps the airline and airport sections have an analyzed list of their customers’ wants and a set of shared and unshared corrective activities to meet these wants. Originality/value This paper presents a simultaneous QFD analysis in the airport and airline sections. Moreover, a new hybrid approach employing SERVQUAL method, named 3DHOQ is introduced to determine the corrective activities of both organizations and their weights.

Financial feasibility and value engineering principles integrated quality function deployment for a manufacturing organization

2014 ◽  
Vol 12 (1) ◽  
pp. 71-88 ◽  
Author(s):  
P. Rajiv ◽  
R. Logesh ◽  
Sekar Vinodh ◽  
D. Rajanayagam
Keyword(s):  
Feasibility Study ◽  
Quality Function Deployment ◽  
Value Engineering ◽  
Quality Function ◽  
Content Type ◽  
Customer Complaints ◽  
Financial Feasibility ◽  
Cost Calculations ◽  
Manufacturing Organization

Purpose – The purpose of this paper is to report a case study in which financial feasibility integrated quality function deployment (QFD) approach was implemented. Design/methodology/approach – Customer complaints were systematically gathered. The house of quality (HoQ) matrix was developed. The technical descriptors were prioritized and subjected to the financial feasibility study. The cost calculations were carried out and the actions were derived. A set of value engineering (VE) principles was used during this case study. Findings – The study reported in this paper indicated the need for integrating financial feasibility study with QFD for enhancing the effectiveness of the method. The measures taken to prevent the customer complaints will be of considerable value to the manufacturing organizations. Research limitations/implications – During the conduct of case study, high-cost factors restricted the selection of materials which would exhibit higher performance. The case study was carried out in a single electronic switches manufacturing organization. Practical implications – The manufacturing costs incurred have been reduced by incorporating changes in the part material. The outcomes of the study have been considered for further implementation in the case organisation which indicated the practicality of the study. Originality/value – The concept of apportionment of HoQ cost developed with the idea of integrating the same with QFD is the original contribution of the authors.

An integrated neutrosophic AHP and SWOT method for strategic planning methodology selection

2018 ◽  
Vol 25 (7) ◽  
pp. 2546-2564 ◽  
Author(s):  
Mohamed Abdel Basset ◽  
Mai Mohamed ◽  
Arun Kumar Sangaiah ◽  
Vipul Jain
Keyword(s):  
Strategic Planning ◽  
Swot Analysis ◽  
Real Life ◽  
Business Environment ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Strategic Plans ◽  
Proposed Model ◽  
Planning Methodology

PurposeStrategic planning is an organization’s process of describing its strategy, or direction, and making decisions on allocating its resources to track this strategy. SWOT analysis is one of the most commonly used techniques for strategic planning. SWOT examines the strengths (S) and weaknesses (W) agents of the community together with opportunities (O) and threats (T), for selecting and implementing the best strategy which helps in achieving its goals. The purpose of this paper is to enhance the performance of SWOT analysis regarding the quantitative side of strategies, select the best strategy from different strategies and deal effectively with vague and incompatible information, which occurs usually in actual life.Design/methodology/approachThis study used the neutrosophic analytic hierarchy process (AHP) incorporated with SWOT analysis.FindingsBy adding the neutrosophic AHP to SWOT analysis, the performance of SWOT analysis is enhanced through determining the quantitative values and dealing with vague and inconsistent information effectively leading to improved decisions.Research limitations/implicationsThe developed integrated methodology is validated in a real-life case of Starbucks company. For the case study of Starbucks company, the proposed model helps in determining different strategic plans and, further, ranking these plans effectively, which will help the company to compete with its competitors and develop itself by obtaining a competitive advantage over its competitors in an uncertain business environment.Practical implicationsIn the case study of Starbucks company, the proposed model helps to determine the different strategic plans, rank these plans which help the company compete with its competitors, develop itself and grow.Originality/valueThis research is the first to address SWOT analysis with neutrosophic AHP.

Six sigma in health-care service: a case study on COVID 19 patients’ satisfaction

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kaja Bantha Navas Raja Mohamed ◽  
Palaninatha Raja M. ◽  
SharmilaParveen S. ◽  
John Rajan A. ◽  
Ranjitham Anderson
Keyword(s):  
Health Care ◽  
Waiting Time ◽  
Six Sigma ◽  
Quality Function Deployment ◽  
Health Care Service ◽  
Psychological Needs ◽  
Process Standardization ◽  
Content Type ◽  
Patients Satisfaction

Purpose The purpose of this paper is to determine the major influencing factors for the COVID 19 patients’ satisfaction with a six sigma framework model and to explore the successful deployment of six sigma in the health-care sector a case study on COVID 19 patients’ satisfaction. Design/methodology/approach The study is based on a descriptive research design conducted in Chennai, India between May to July 2020 wherein 1,000 COVID 19 patients were studied. The convenience sampling method is used by the researcher for data collection. In this research paper, define-measure-analysis-improve-control methodology has been applied and factors such as assurance, process standardization, infrastructure, waiting time, cost were analyzed using quality function deployment (QFD), regression analysis and Monte Carlo simulation. Findings The applied six sigma model indicated that process standardization contributed the most toward the variation in COVID 19 patients’ satisfaction. Assurance by doctors is the second important factor. The interpersonal quality is important, which indicates a higher level of psychological needs in COVID 19 patients. Waiting time is another important factor influencing COVID 19 patients’ satisfaction. One of the unexpected findings is that cost is insignificant in influencing COVID 19 patients’ satisfaction. Originality/value Six Sigma focuses on process variation improvement that encourages data analysis and problem-solving statistical techniques and evaluates the ability of a process to perform defect-free. Six sigma focused toward COVID 19 patients’ satisfaction has not been carried out, which this paper has done.

A bi-level mathematical model for logistic management considering the evolutionary game with environmental feedbacks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peiman Ghasemi ◽  
Fariba Goodarzian ◽  
Angappa Gunasekaran ◽  
Ajith Abraham
Keyword(s):  
Mathematical Model ◽  
Lagrangian Relaxation ◽  
Evolutionary Games ◽  
Relaxation Method ◽  
Objective Functions ◽  
Content Type ◽  
Medical Centers ◽  
Location Routing ◽  
Proposed Model

PurposeThis paper proposed a bi-level mathematical model for location, routing and allocation of medical centers to distribution depots during the COVID-19 pandemic outbreak. The developed model has two players including interdictor (COVID-19) and fortifier (government). Accordingly, the aim of the first player (COVID-19) is to maximize system costs and causing further damage to the system. The goal of the second player (government) is to minimize the costs of location, routing and allocation due to budget limitations.Design/methodology/approachThe approach of evolutionary games with environmental feedbacks was used to develop the proposed model. Moreover, the game continues until the desired demand is satisfied. The Lagrangian relaxation method was applied to solve the proposed model.FindingsEmpirical results illustrate that with increasing demand, the values of the objective functions of the interdictor and fortifier models have increased. Also, with the raising fixed cost of the established depot, the values of the objective functions of the interdictor and fortifier models have raised. In this regard, the number of established depots in the second scenario (COVID-19 wave) is more than the first scenario (normal COVID-19 conditions).Research limitations/implicationsThe results of the current research can be useful for hospitals, governments, Disaster Relief Organization, Red Crescent, the Ministry of Health, etc. One of the limitations of the research is the lack of access to accurate information about transportation costs. Moreover, in this study, only the information of drivers and experts about transportation costs has been considered. In order to implement the presented solution approach for the real case study, high RAM and CPU hardware facilities and software facilities are required, which are the limitations of the proposed paper.Originality/valueThe main contributions of the current research are considering evolutionary games with environmental feedbacks during the COVID-19 pandemic outbreak and location, routing and allocation of the medical centers to the distribution depots during the COVID-19 outbreak. A real case study is illustrated, where the Lagrangian relaxation method is employed to solve the problem.

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