Buradasınız

Anasayfa » Content

GRİ ANALİTİK AĞ SÜRECİ VE GRİ İLİŞKİSEL ANALİZ İLE ENTEGRE EDİLMİŞ AR-GE PROJELERİNİN SEÇİMİ: EV ALETLERİ ŞİRKETİNDE BİR UYGULAMA

R&D PROJECT SELECTION BY INTEGRATED GREY ANALYTIC NETWORK PROCESS AND GREY RELATIONAL ANALYSIS: AN IMPLEMENTATION FOR HOME APPLIANCES COMPANY

Journal Name:

  • Havacılık ve Uzay Teknolojileri Dergisi

Publication Year:

  • 2015

Key Words:

Keywords (Original Language):

Author NameUniversity of Author
Abstract (2. Language): 
For many firms, the key to improve competitiveness is their ability of research and development (R&D);therefore the R&D project selection is an essential decision process for them. In this study, we worked on R&D Project Selection issue and performed an implementation for a home appliances company. Wefirst discussed important criteria for R&D projects selection with R&D specialists in the company. Inorder to evaluate projects, many criteria, containing various sub-criteria were determined via extensiveliterature research. After reviewing multi criteria decision methods in order to handle theinterdependencies among the criteria and the sub-criteria, Analytic Network Process (ANP) was chosen.Due to being conformed to characteristics of R&D projects, the ANP model generated basing on greynumbers. Also, ANP was used to get the weight of criteria. The experts filled the pairwise comparisonmatrices, which were built up for defining the importance and influences of the criteria/sub-criteria inthe ANP model. According to these matrices, weights were determined. Then, determined alternativeprojects were ranked via Grey Relational Analysis (GRA) method. The model was applied on a real liferefrigerator projects in a home appliances company.
Bookmark/Search this post with
Abstract (Original Language): 
Araştırma ve geliştirme yeteneği bir çok şirketin rekabet etme gücünü arttıracak önemli bir faktördür. Bu nedenle Ar-Ge projelerinin seçimi şirketler için temel karar sürecidir. Bu çalışmada, Ar-Ge projeleri seçimi üzerine çalışılmış ve bir ev aletleri şirketinde konuyla ilgili bir uygulama yapılmıştır. İlk olarakAr-Ge uzmanlarıyla birlikte Ar-Ge projeleri seçiminde önemli olan kriterler üzerine çalışılmıştır. Projeleri değerlendirmek için birçok kriter ve bunlara bağlı alt kriterler geniş bir literatür araştırmasıyla belirlenmiştir. Birçok çok kriterli karar verme metodu incelendikten sonra, kriterler ve kriterler arası bağlılığı ele almak amacıyla ANP metodu kullanılmıştır. Bu çalışmada Ar-Ge projelerinin karakteriyle uyumlu olması nedeniyle gri sayılara dayalı ANP modeli oluşturulmuş ve kriter ağırlıklarının belirlenmesi için kullanılmıştır. ANP modelinde kriterlerin ve alt kriterlerin birbirlerine olan etkileri ve önem derecelerinin belirlenmesi için ikili karşılaştırma matrisleri oluşturulmuş ve uzmanlar tarafından değerlendirilmiştir. Oluşturulan bu matrislere göre ağırlıklar belirlenip, tanımlanan alternatif projelerGri İlişkisel Analiz (GİA) metodu kullanılarak sıralanmıştır. Uygulama olarak da bir ev aletleri şirketindeki gerçek buzdolabı Ar-Ge projelerinde bu modele başvurulmuştur.
FULL TEXT (PDF): 
PDF icon arastirmax-gri-analitik-ag-sureci-gri-iliskisel-analiz-ile-entegre-edilmis-ar-ge-projelerinin-secimi-ev-aletleri-sirketinde-bir-uygulama.pdf
  • 2
35
41
  • Turkish

REFERENCES

References: 

[1] Porter, M.E., 1985, “Competitive Strategy:
Techniques for Analyzing Industries and
Competitors”, The Free Press.
[2] Mohanty, R. P., Agarwal, R., Choudhury A. K.
And Tiwari, M. K., 2005, “A Fuzzy ANP-Based
Approach to R&D Project Selection: A Case Study”
,International Journal of Production Research, Vol.
43, No. 24, 5199–5216.
[3] Liberatore, M. J., 1988, “An Expert Support
System for R&D Project Selection” , Malhl Comput.
Modelling, Vol. I I, pp. 260-265, Great Britain.
[4] Martino J. P., 1995, “Research and
Development Project Selection”, Wiley Series in
Engineering & Technology Management, New York.
[5] Shakhsi-Niaei, M., Torabi, S. A. and
Iranmanesh, S. H., 2011, “A Comprehensive
Framework for Project Selection Problem Under
Uncertainty and Real-World Constraints”, Computers
& Industrial Engineering, Vol. 61, pp. 226–237.
[6] Duan, X., Huang, M., Yang, X., Wan, B. 2013,
“A Method of Partner Selection for Supply Chain
Based on Grey-ANP in Cloud Computing”, 2013 10th
Web Information System and Application Conference.
[7] Li, G.D., Yamaguchi, D., Nagai, M. 2007, “A
Grey-Based Decision-Making Approach to the
Supplier Selection Problem”, Mathematical and
Computer Modeling 46, 573–581, Japan.
[8] Julong, D., 1989 “Introduction to Grey System
Theory”, The Journal of Grey System 1,1-24.
[9] Wen K. 2004, “The Grey System Analysis and
Its Application in Gas Breakdown And Var
Compensator Finding(İnvited Paper)”, Int. Journal of
computational Cognition 2(1), 21-44.
[10] Saaty, T.L., 1999 “Fundamentals of the
Analytic Network Process”, ISAHP 1999, August 12-
14, Kobe, Japan.
[11] Carlucci, D. and Schiuma, G., 2010,
“Determining Key Performance Indicators – An
Analytical Network Approach”, Gunasekaran A. and
Sandhu M. (Editors), Handbook on Business
Information Systems, World Scientific Publishing,
ISBN 978-981-283-605-2, Chapter 21, pp. 515-536.
[12] Zhang, W., Zhang, X., Fu, X., Liu, Y., 2009,
“A Grey Analytic Network Process (ANP) Model to
Identify Storm Tide Risk”, Proceedings of 2009 IEEE
International Conference on Grey Systems and
Intelligent Services, November 10-12, 2009, Nanjing,
China.
[13] Dou, Y., Zhu, Q, Sarkis, J., 2014, “Evaluating
Green Supplier Development Programs with a Grey-
Analytical Network Process-
BasedMethodology”,European Journal of
Operational Research 233, 420–431.
R&D Project Selection By Integrated Grey Analytic Network Process And
Grey Relational Analysis: An Implementation For Home Appliances
Company
TUZKAYA, YOLVER
41
[14] Saaty, T. L., & Vargas, L. G. 1998. “Diagnosis
with Dependent Symptoms: Bayes Theorem and the
Analytichierarchy Process.” Operations Research,
46(4), 491–502.
[15] Sallehuddin, R., Shamsuddin, S. M. H.,
Hashim, S. Z. M., 2008, “Grey Relational Analysis
and Its Application on Multivariate Time Series”,
Proceedings of IEEE International Conference on
intelligent Systems Design and Applications, vol:2.
[16] Deng, J. L., (1989) “Introduction to Grey
System”, Journal of Grey System, 1(1), 1-24.
[17] Sreenivasulu, R., SrinivasaR., Dr.Ch (2012),
“Application of Gray Relational Analysis For Surface
Roughness and Roundness Error in Drilling of Al
6061 Alloy”, International Journal of Lean Thinking
Vol. 3, Issue 2, December.

Thank you for copying data from http://www.arastirmax.com