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KALİTE FONKSİYON GÖÇERİMİ VE ANALİTİK HİYERARŞİ SÜRECİ ARACILIĞIYLA ÜRÜN TASARIMININ OPTİMİZASYONU: BİR SERAMİK LAVABO TASARIMI

OPTIMIZATION OF PRODUCT DESIGN THROUGH QUALITY FUNCTION DEPLOYMENT AND ANALYTICAL HIERARCHY PROCESS: CASE STUDY OF A CERAMIC WASHBASIN

Journal Name:

Publication Year:

DOI: 
10.4305
Abstract (2. Language): 
Quality Function deployment (QFD) is a useful method for optimizing products which can be applied during the design process as well as in the postproduction process for further developments and revisions. This paper aims at examining the applicability of QFD and Analytic Hierarchy Process (AHP) to incorporate customer expectations and design quality into the product through a case study on a ceramic washbasin (1). In the first phase of the study customer needs and satisfaction are surveyed based on the current product design. This data is then merged with a Voice of Engineer (VOE) chart where technical attributes and features corresponding to the items in the Voice of Customer (VOC) are listed. By using the Analytic Hierarchy Process (AHP), the customer needs as well as technical attributes are quantified and prioritized. Quality characteristics are then obtained by the calculation of customer weights according to the level of importance, which were then transformed into measurable technical attributes in the House of Quality (HOQ). Interrelations among customer requirements, technical attributes and planning blocks were put in a matrix in order to get precise evaluations. The findings of this study demonstrate that the application of QFD at an earlier period in the design phase can help to efficiently implement design remediation.
Abstract (Original Language): 
Kalite Fonksiyon Göçerimi (KFG), ürünlerde yapılacak ileri iyileştirme ve geliştirmeler için üretim sonrasında olduğu kadar tasarım süreci boyunca da uygulanabilen yararlı bir yöntemdir. Bu çalışma, müşteri beklentilerini ve tasarım kalitesini ürüne aktarabilmek için KFG ve Analitik Hiyerarşi Süreci (AHS)’nin ürün tasarımında uygulanabilirliğini ölçmeyi amaçlar ve bir seramik lavabo tasarımı vaka çalışması özelinde konuyu ele alır. Çalışmanın ilk bölümünde, ele alınan ürünle ilgili müşteri gereksinimleri ve beklentileri araştırılmıştır. Bu veriler öncelikle Müşteri Sesi adı verilen tablolara aktarılmış, oradan da teknik özelliklere karşılık gelecek biçimde dönüştürülerek Mühendisin Sesi adı verilen tablolar oluşturulmuştur. Analitik Hiyerarşi Sürecinin bu vakaya uygulanması ile müşteri beklentileri ve teknik özellikler bir ölçü sistemi içerisinde sayısal değerlere dönüştürülmüştür. Kalite özellikleri önem seviyelerine göre müşteri ağırlıklarının hesaplanmasıyla elde edilerek daha sonra Kalite Evi adı ile anılan ve ölçülebilen teknik değerler içeren tablolara aktarılmıştır. Daha kesin sonuçlar elde etmek amacı ile birbirleriyle ilişkileri olan müşteri beklentileri, teknik özellikler ve planlanlama engelleri bir matrise yerleştirilmiştir. Bu çalışmanın bulguları, KFG yönteminin tasarım sürecinin ilk aşamalarında kullanıldığında, ürün iyileştirme konusunda daha etkin olabileceğini kanıtlamaktadır.
FULL TEXT (PDF): 
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REFERENCES

References: 

AKAO, Y. (1990) Quality Function Deployment: Integrating Customer
Requirements into Product Design, Productivity Press, Cambridge MA.
ASKIN, R.G., DAWSON, D.W. (2000) Maximizing Customer Satisfaction
by Optimal Specification of Engineering Characteristics, IIE
Transactions, 32 (1) 9-20.
BHATTACHARYA, A., SAKAR, B., MUKHERJEE, S.K. (2005) Integrating
AHP with QFD for Robot Selection Under Requirement Perspective,
International Journal of Product Research, 43 (17) 3671-85.
CHAN, L.K., WU, M.L. (2002) Quality Function Deployment: A Literature
Review, European Journal of Operational Research, n: 143; 463-97.
CHAN, L.K., WU, M.L. (2005) A Systematic Approach to Quality Function
Deployment with a Full Illustrative Example, OMEGA-International
journal of management science, 33( 2) 119-39.
CHEN, L.H., WENG, M.C. (2003) A Fuzzy Model For Exploiting Quality
Function Deployment, Mathematical and Computer Modeling, 38 (5-6)
559-70.
CHEN, Y., TANG, J., Fung, R.Y.K., REN, Z. (2004) Fuzzy Regression-
Based Mathematical Programming Model For Quality Function
Deployment, International Journal of Production Research, 42 (5) 1009-
27.
CHEN, Y., FUNG, R.Y.K, YANG, J. (2005) Fuzzy Expected Value
Modeling Approach for Determining Target Values of Engineering
Characteristics in QFD, International Journal of Production Research, 43
(17) 3583-604.
CLAUSING, D. and COHEN, L. (1994) Recent Developments in QFD in
the United States, Institution of Mechanical Engineering Conference,
Coventry, UK.
COHEN, L. (1995) Quality Function Deployment: How to Make QFD Work for
You, Addison-Wesley, Reading, MA.
DAWSON, D., ASKIN, R.G. (1999) Optimal New Product Design Using
Quality Function Deployment with Empirical Value Functions,
Quality and Reliability Engineering International, 15 (1) 17-32.
DIKMEN, I., BIRGONUL, M. T., KIZILTAS, S. (2005) Strategic Use of
Quality Function Deployment (QFD) in the Construction Industry,
Building and Environment (40) 245-55.
DWEIRI, F.T., KABLAN, M.M. (2005) An Integration of the Analytic
Hierarchy Process into the Quality Function Deployment Process,
International Journal of Industrial Engineering-Theory, Applications and
Practice, 12 (2) 180-8.
FUNG, R.Y.K., POPPLEWELL, K., XIE, J. (1998) An Intelligent Hybrid
System for Customer Requirements Analysis and Product Attribute
Targets Determination, International Journal of Production Research, 36
(1) 13-34.
FUNG, R.Y.K., CHEN, Y.Z., TANG, J.F. (2006) Estimating the Functional
Relationships for Quality Function Deployment Under Uncertainties,
Fuzzy Sets and Systems, 157 (1) 98-120.
GERLING, W.H., PREUSSGER, A.F., WULFERT, W. (2002) Reliability
Qualification of Semiconductor Devices Based on Physics-of-Failure
and Risk and Opportunity Assessment, Quality and Reliability
Engineering International, 18 (2) 81-98.
HAN, C.H., KIM, J.K., CHOI, S.H. (2004) Prioritizing Engineering
Characteristics in Quality Function Deployment with Incomplete
Information: A Linear Partial Ordering Approach, International
Journal of Production Research, 91 (3) 235-49.
HARI, A., KASSER, J.E., WEISS, M. (2007) How Lessons Learned from
Using QFD Led to the Evolution of a Process for Creating Quality
Requirements for Complex Systems, Willey Interscience, 10 (1) 45-63.
HAUSER, J.R., CLAUSING, D. (1988) The House of Quality, Harvard
Business Review, 66 (3) 63-73.
HO, W. (2008) Integrated Analytic Hierarchy Process and its Applications -
A Literature Review, European Journal of Operational Research, n: 186;
211-28.
KAHN, K.B. (2006) New Product Forecasting: An Applied Approach, Armonk,
NY.
KAHRAMAN, C., ERTAY, T., BUYUKOSMAN, G. (2006) A Fuzzy
Optimization Model for QFD Planning Process Using Analytic
Network Approach, European Journal of Operational Research (171)
390-411.
KALARGEROS, N., GAO, J.X. (1998) QFD: Focusing on its Simplification
and Easy Computerization Using Fuzzy Logic Principles,
International Journal of Vehicle Design (19) 315-25.
KING, B. (1989) Better Designs in Half the Time. Goal/QPC, Methuen, MA.
KARSAK, E.E., SÖZER, S., ALPTEKIN, S.E. (2003) Product Planning in
Quality Function Deployment Using A Combined Analytic Network
Process and Goal Programming Approach, Computers and Industrial
Engineering, 44 (1) 171-90.
KARSAK, E.E. (2004) Fuzzy Multiple Objective Decision Making Approach
to Prioritize Design Requirements in Quality Function Deployment,
International Journal of Production Research, 42 (18) 3957-74.
KIM, K. (1997) Determining Optimal Design Characteristic Levels in QFD,
Quality Engineering, 10 (2) 295-307.
KIM, K., MOSKOWITZ, H., DHINGRA, A., EVANS, G. (2000) Fuzzy
Multicriteria Models for Quality Function Deployment, European
Journal of Operational Research, 121 (3)504-18.
LAI, X., XIE, M., TAN, K.C. (2004) Optimizing Product Design Using the
Kano Model and QFD, IEEE International Engineering Management
Conference. IEEE EMS Singapore; 1085-9.
LAI, X., TAN, K.C., XIE, M. (2007) Optimizing Product Design Using
Quantitative Quality Function Deployment: A Case Study, Quality
and Reliability Engineering International, n: 23; 45-57.
LIN, M.C., WANG, C.C., CHEN, M.S., CHANG, C.A. (2008) Using AHP
and Topsis Approaches in Customer-Driven Product Design Process,
Computers in Industry, n: 59; 17-31.
LIU, S.T. (2005) Rating Design Requirements in Fuzzy Quality Function
Deployment via Mathematical Programming Approach, International
Journal of Production Research, 43 (17) 497-513.
LU, M., MADU, C.N., KUEI, C., WINOKUR, D. (1994) Integrating QFD,
AHP and Benchmarking in Strategic Marketing, Journal of Business
and Industrial Marketing, 9 (1) 41-50.
MAZUR, G. (1997) Voice of Customer Analysis: A Modern System of
Front-End QFD Tools, with Case Studies, AQC Milwakuee American
Society of Quality Control, Orlando.
MAZUR, G. (2008) Modern QFD Introduction, 2nd National Symposium on
Quality Function Deployment, Dokuz Eylül University, İzmir.
MOSKOWITZ, H., KIM, K. (1997) QFD Optimizer: A Novice Friendly
Quality Function Deployment Decision Support System for
Optimizing Product/Service Designs, Computers and Industrial
Engineering, 32 (3) 641-55.
MRAD, F. (1997) An Industrial Workstation Characterization and Selection
Using Quality Function Deployment, Quality Reliability Engineering
International, 13 (5) 261-8.
PARK, T., KIM, K.J. (1998) Determination of An Optimal Set of Design
Requirements Using House of Quality, Journal of Operations
Management (16) 569-81.
POEL, I. (2007) Methodological Problem in QFD and Directions for Future
Development, Research Engineering Design (18) 21-36.
PRASAD, B. (1998a) Review of QFD and Related Deployment Techniques,
Journal of Manufacturing Systems, 17 (3) 221-34.
PRASAD, B. (1998b) Synthesis of Market Research Data through A
Combined Effort of QFD, Value Engineering, and Value Graph
Techniques, Qualitative Market Research: An International Journal, 1 (3)
156-72.
PRESSON, P., KAMMERLIND, P., BERGMAN, B., ANDERSON, J. (2000)
A Methodology for Multi-Characteristic Systems Improvement
with Active Expert Involvement, Quality and Reliability Engineering
International, 16 (5) 405-16.
SAATY, T.L. (1980) Analytic Hierarchy Process, McGraw-Hill, Newyork.
SHEN, X.X., TAN, K.C. (1998) Customer Satisfaction Benchmarking in
QFD: Avoiding Pitfalls, 2nd International and 5th National Research
Conference on Quality Management, Monash University: Victoria,
Australia; 196-203.
STEUER, R.E., NA, P. (2003) Multiple Criteria Decision Making Combined
with Finance: A Categorized Bibliographic Study, European Journal of
Operational Research, 150(3) 496-515.
SULLIVAN, L.P. (1986) Quality Function Deployment. Quality Progress, 19
(6) 39-50.
VAIDYA, O.S., KUMAR, S. (2006) Analytic Hierarchy Process: An
Overview of Applications, European Journal of Operational Research,
169(1) 1-29.
VANEGAS, L.V., LABIB, A.W. (2001) A Fuzzy Quality Function
Deployment (FQFD) Model for Deriving Optimum Targets,
International Journal of Production Research, 39 (1) 99-120.
YILMAZ, H. (2009) Optimization of the Product Design Through Quality
Function Deployment (QFD) and Analytical Hierarchy Process
(AHP): A Case Study of A Ceramic Washbasin, Yayınlanmamış
Yüksek Lisans Tezi, Endüstri Ürünleri Tasarımı Bölümü, İYTE,
İzmir.
YORAM, R., EYAL, L. (2005) Managing Product Design Quality Under
Resource Constraints, International Journal of Production Research, 42
(13) 2555-72.

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