ORIGINAL_ARTICLE
Investigation of Project Risk Management in Project-Based Organizations Using the PMBOK Guideline Case Study: National Gas Company of Lorestan province
Project management approach is one of the crucial aspects of enhancing the operational efficiency of project-based organizations that makes optimum resources use possible. Risks management significantly affects operational effectiveness and performance efficiency in competitive organizations. These calls for a new management approach, such as the PMBOK project management standard that helps risks identification and methods of mitigating their adverse consequences. The aim is to focus on analysis of project-related processes in organizations using the PMBOK guideline risk management concept. The study is undertaken in the project-oriented Lorestan National Gas Company in Iran. The methodology involved using primary data using interviews of relevant stakeholders on project-management processes involving three major stages of data collection, process identification and process analysis based on the PMBOK. Results show the importance of risk management analysis in identifying major risk-generation areas required to take appropriate measures in averting or overcoming unexpected operational and performance challenges that affect organizational survival. Results further show the effectiveness of the proposed method in achieving a more effective project control system that makes it possible for on-time project scheduling, enhanced performance effectiveness, economic justification and organizational survival.
https://www.journal-aprie.com/article_43022_82255d20246ad0e5faaed25fd405a9e5.pdf
2014-06-01
50
58
Risk Management
PMBOK guideline
project
Project-Based Organizations
Fatemeh
Jaferi
fatemeh.jaferi@gmail.com
1
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran
LEAD_AUTHOR
Seyed Mojtaba
Sajadi
msajadi@ut.ac.ir
2
Assistant Professor, Faculty of Entrepreneurship, University of Tehran, Iran
AUTHOR
Mehdi
Alinaghian
alinaghian@cc.iut.ac.ir
3
Department of Industrial and Systems Engineering, Isfahan University of Technology, 84156-83111 Isfahan, Iran
AUTHOR
Moslem
Beyranvand
4
MA in Industrial Engineering, Master of System Analysis, lorestan Gas Company, Khorramabad, Iran
AUTHOR
Adler, T.R. and Smith, W.L. (2009). “How organisational cost reporting practices affect project management: the issues of project review and evaluation”. International Journal of Project Organization and Management, Vol. 1, No. 3, pp. 309-320.
1
Araúzo, J.A., Javier, p. and Lopez-Paredes, A. (2010). “Simulating the dynamic scheduling of project portfolios”. Simulation Modelling Practice and Theory. Vol. 18, No. 10, pp. 1428-1441.
2
MacArthur, P.J., Crosslin, R.L. and Warren, J.R. (1994). “A strategy for evaluating alternative information system designs for business process reengineering”. International Journal of Information Management. Vol. 14, No. 4, pp. 237–251.
3
Ping, X.G. (1995). “Business process reengineering — A case study”. International Conference on Computers and Industrial Engineering. Vol. 29, No. 1–4, pp. 367–369.
4
Rehman, A., Usmani, Y.S. and Al-Ahmari, A.M.A. (2012). “A study to assess significance of project management performance: assessment model in applied projects”. International Journal of Applied Systemic Studies. Vol. 4, No. 3, pp. 140–149.
5
Soderlund, J. ( 2005). “What project management really is about: alternative perspectives on the role and practice of project management”. International Journal of Technology Management. Vol. 32, No. 3/4, pp. 371-387.
6
Voss, M. and Kock, A. (2013). “Impact of relationship value on project portfolio success — investigating the moderating effects of portfolio characteristics and external turbulence”. International Journal of Project Management. Vol. 31, No. 6, pp. 847–861.
7
ORIGINAL_ARTICLE
Ranking Organizations On The Basis of Intellectual Capital Indices By Applying DEA: A Case Study of Petrochemical Companies Listed On Tehran Stock Exchange
DEA (Data Envelopment Analysis) is a linear programming method whose main purpose is comparing and evaluating a number of similar decision making units with different amounts of input and output. Using this method, one can rank efficient and inefficient companies and then among the efficient companies, identify the efficiency frontier. In ranking stock companies, one of the factors which have been overlooked in previous research is “Intellectual Capital” index. In this paper, based on this index, along with financial indices, the petrochemical companies listed on the stock exchange have been ranked by means of Data Envelopment Analysis method and then efficient and inefficient companies have been identified. Subsequently, employing Benchmark Approach, efficient units have been ranked. Also, to determine the importance of inputs, by applying Sensitivity Analysis, the model has been solved three times, each time removing one of the inputs and the difference between the obtained values and the values gotten from the primal model has been calculated. The results of the study show that among the 16 companies under study, 9 units have been known to be efficient and the “Intellectual Capital” index, as an input in DEA model, has a significant role in evaluating these units.
https://www.journal-aprie.com/article_43025_5aff05b154b4109759aaa2a0ce94fb0f.pdf
2014-06-01
59
73
Ranking
Data envelopment analysis (DEA)
intellectual capital
petrochemical companies
Stock Exchange
Esmat
Baktash
shirin.baktash@gmail.com
1
Department of Industrial Engineering, Islamic Azad University of Najaf Abad, Iran
LEAD_AUTHOR
Behjat
Amoushahi
sayeh786@gmail.com
2
Department of Industrial Engineering, Islamic Azad University of Najaf Abad, Iran
AUTHOR
Mohammad Mehdi
Behdad
m.m.behdad@gmail.com
3
Ph.D. Student of Business Administration, University of Applied Science and Technology, Iran.
AUTHOR
Adler, T.R. and Smith, W.L. (2009). “How organisational cost reporting practices affect project management: the issues of project review and evaluation”. International Journal of Project Organization and Management, Vol. 1, No. 3, pp. 309-320.
1
Araúzo, J.A., Javier, p. and Lopez-Paredes, A. (2010). “Simulating the dynamic scheduling of project portfolios”. Simulation Modelling Practice and Theory. Vol. 18, No. 10, pp. 1428-1441.
2
MacArthur, P.J., Crosslin, R.L. and Warren, J.R. (1994). “A strategy for evaluating alternative information system designs for business process reengineering”. International Journal of Information Management. Vol. 14, No. 4, pp. 237–251.
3
Ping, X.G. (1995). “Business process reengineering — A case study”. International Conference on Computers and Industrial Engineering. Vol. 29, No. 1–4, pp. 367–369.
4
Rehman, A., Usmani, Y.S. and Al-Ahmari, A.M.A. (2012). “A study to assess significance of project management performance: assessment model in applied projects”. International Journal of Applied Systemic Studies. Vol. 4, No. 3, pp. 140–149.
5
Soderlund, J. ( 2005). “What project management really is about: alternative perspectives on the role and practice of project management”. International Journal of Technology Management. Vol. 32, No. 3/4, pp. 371-387.
6
Voss, M. and Kock, A. (2013). “Impact of relationship value on project portfolio success — investigating the moderating effects of portfolio characteristics and external turbulence”. International Journal of Project Management. Vol. 31, No. 6, pp. 847–861.
7
Coelli, T.J., Rao, D.S.P., O'Donnell, C.J. and Battese, G.E. (2005). “An Introduction to Efficiency and Productivity Analysis”. Kluwer academic publisher, 2nd ed. XVII, 350 p.
8
Edvinsson, L. and Malone M.S. (1997). “Intellectual Capital: Realizing Your Company's True Value by Finding its Hidden Brainpower”. HarperBusiness; 1st edition.
9
Ghodratian Kashan, S.A.J. and Anvari Rostamie A.A. (2005). “Designing a comprehensive model to evaluate performance and rank of a company”. Modarres Human Sciences; 8((Tome 36)); pp. 109-134.
10
Hatami Shirkouhi L., Nazari Shirkouhi A., Samadi H. and Nemati M. (2012). “Developing a new approach to rank companies of Tehran stock exchange by fuzzy data envelopment analysis”. Iranian Journal of Economic, No. 46.
11
Khajavi, S., Salimifard, A. and Rabieh, M. (2005). “The application of data envelopment analysis in determining a portfolio of the most efficient firms accepted in Tehran Stock Exchange”. Journal of Humanities and Social Sciences of Shiraz University. Period 22, No. 2, Series 43, Accounting Special Edition.
12
Khanhossini D., Taleb nia g., Nikoonesbati M. and Moazez E. (2012). “The Investigation Intellectual Capital Effect on Market Value and Financial Performance of Cement Industry Companies Listed onTehran Stock Exchange”. Vol. 2, No. 1.
13
Mehregan M.R., Kamyab Moghadas A. and Kazemi A. (2008). “Presenting a goal programming model for evaluating Iranian oil refineries”. management knowledge. Vol. 21, No. 81, pp. 127- 144.
14
Mehregan M.R. (2008). “quantitative models in performance evaluation of organizations: DEA”. Tehran University Management School Press.
15
Nikoomaram, H., Qayy, N. and Alirezaei, M.R. (2005). “Performance evaluation of investment companies listed in Tehran Stock Exchange”. Economic Research Journal. No. 16.
16
Noravesh I. and Heidari, M. (2005). “The Review of Information Content of Cash Value Added (CVA) in Relation to Annual Stock Return: Comparative Analysis with Operating Profit (OP) and Operating Cash Flows (OCF)”.
17
Accounting Studies. NO. 8. Pulic and Ante (2004) “Intellectual Capital–Dose it Create or Destroy Value?” Measuring Business Excellence. Vol. 8, No. 1, pp. 62-68.
18
Ranjbar M.H., Abedini, B. and Afroomand, E. (2013). “Performance evaluation of petrochemical firms accepted in Tehran stock exchange using DEA (window analysis)”. European Online Journal of Natural and Social Sciences. Vol. 2, No. 3, pp. 580-588.
19
Sabeti Saleh E. (2009). “Propose the Multiple Criteria decision model for ranking the applicant companies of banks secure financial: Case study”. 2th international conference of secure financial system in Iran, 20.
20
Sarmadi S. (2013). “Investigating of relationship between intellectual capital and financial performance of Petrochemical Companies listed in Tehran Stock Exchange”. Social Science Research Network.
21
Salehi Sadeghiani, Amiri M., Taghavifard M.T. and Razavi S.H. (2008). “Ranking of efficient units by using DEA and AHP process”. management knowledge. Vol. 21, No. 81, pp. 75-90.
22
Souza, Geraldo da Silva and Benjamin Miranda Tabak (2003). “Factors Affecting the Technical Efficiency of Production of the Brazilian Banking System: A Comparison of Four Statistical Models in the Context of Data Envelopment Analysis”. Financial Stability Report. pp. 175-190.
23
Wang, Y.M., Greatbanks, R. and Yang, B. (2005). “Interval efficiency assessment using data envelopment analysis, Fuzzy Sets and Systems”. Vol. 153, pp. 347–370.
24
ORIGINAL_ARTICLE
Studying and Prioritization of Mediating Factors of Market-Orientation in Supply Chain Performance using TOPSIS Technique
The present study aimed to explore the role of mediating factors of market orientation with regard to supply chain performance to help the firms achieve high levels of performance via identification of mediating factors of market orientation effective on supply chain performance and determining their degree of importance. The statistical population included all managers and experts of the purchasing, business and selling sector of Reef Iran Chemical and Industrial Group among whom 85 persons were selected as the statistical sample. The obtained results disclosed that mediating factors of market orientation including decentralization, formalization, control system, inter-sectoral coordination, senior managers' support and reward system have a significant relation with supply chain performance. According to results of regression test, control system and decentralization are more effective than other factors in supply chain cycle. This shows that they have a positive effect on marketing, market-oriented behavior and supply chain performance of firms.
https://www.journal-aprie.com/article_43027_e79918bdaf6112ac78c67abfbc86d0c5.pdf
2014-06-01
74
95
Market Orientation
Mediating Factors of Market Orientation
Supply chain
Supply chain performance
Rahim
Moein
rahimmoein1@yahoo.com
1
Master of Business Management, Researcher at Iran Management and Productivity Study Center, Tehran, Iran
LEAD_AUTHOR
Adel, A.; Rajabzade, A. (2013). Applied decision making. Tehran: Negah-Danesh Publications.
1
Awwad, M. S., & Agti, D. A. M. (2011).The impact of internal marketing on commercial banks' market orientation. International Journal of Bank Marketing, Vol. 29, No. 4, pp. 308-332.
2
Bhatnagar, Rohit – S.sohal, Amrik, (2005), “Supply chain competitiveness: measuring the impact of location factors, uncertainly and manufacturing practices”, journal of Tech novation. Vol. 25, pp. 443-456.
3
Jian, C., Xiangdong, L., Zhihui, X. and Jin, L. (2009), “Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment”, Decision Support Systems, Vol. 46, pp. 212-521.
4
Cox and Andrew (1999), “value and supply chain management, Supply Chain Management”, An International Journal, Vol. 4, No. 4, pp. 167-175.
5
Deshpandé, Rohit and Farley, J.U. (1993), “Corporate Culture and Market Orientation: Comparing Indian and Japanese Firms”, Journal of International Marketing, Vol. 57, No. 1, pp. 23-37.
6
Kenneth, G.J., Ron, W.M. and Michael, K.C. (2006). “Does supply chain management strategy mediate the association between market orientation and organizational performance?”. Supply Chain Management: An International Journal. Vol. 11, No. 5, pp. 407–414.
7
Green J.R., Kenneth, W., Inman, A., Brown, G.T and Willis, H. (2005), “Market orientation: relation to structure and performance”, Journal of Business & Industrial Marketing, Vol. 20, No. 6, pp. 276–284.
8
Hunt, Shelby D and Robert M. Morgan, (1995), “The Comparative Advantage Theory of Competition”, Journal of Marketing, Vol. 59, pp. 1-15.
9
Hurley F Robert and Hult G Tomas (1998). Innovation, market orientation and organizational learning. An integration and empirical examination. Journal of marketing. Vol. 62, pp. 42-54.
10
Ju¨ttner, Uta Christopher Martin and Godsell Janet (2010). “A strategic framework for integrating marketing and supply chain strategies”. The International Journal of Logistics Management. Vol. 21, No. 1, pp. 104-112.
11
Kodali, R and Soni, G. (2010). “Internal benchmarking for assessment of supply chain performance”. Benchmarking: An International Journal, Vol. 17, No. 1, pp. 44-76.
12
Kohli, Ajay K., Bernard J. and Jaworski, (1990). “Market Orientation: The Construct, Research Proposition, and Management Implications”, Journal of Marketing, Vol. 54 (April).
13
Lee Chang Won, Ik-Whan G. Kwon and Severance Dennis (2007). “Relationship between supply chain performance and degree of linkage among supplier, internal integration, and customer”. Supply Chain Management: An International Journal. Vol. 12, No. 6, pp. 444–452.
14
Lee Sang M. DonHee Lee and Marc J. Schniederjans (2011). “Supply Chain Innovation and Organizational Performance in the Health Care Industry”. International Journal of Operations & Production Management, Vol. 31 No. 11.
15
Lin Ru-Jen, Chen Rong-Huei, Kevin Kuan-Shun Chiu, (2010). “Customer relationship management and innovation capability: an empirical study”. Industrial Management & Data Systems, Vol. 110, No. 1, pp. 111–133.
16
Low David R., Chapman Ross L and R. Sloan Terry (2007). “Inter relationships between innovation and market orientation in SMEs”. Management Research News. Vol. 30, No. 12, pp. 878-891.
17
Lummus, Rhonda R., Vokurka, Robert J. (1999), “Defining supply chain management: a historical perspective and practical guidelines”, Industrial Management & Data Systems, Vol. 1, pp. 11– 17.
18
Merlo, Omar, Auh and Seigyoung (2009), “The effects of entrepreneurial orientation market orientation and marketing subunit influence on firm performance”. Market Lett, Vol. 20, pp. 295-311.
19
Min Soonhong and Mentzer John T (2000). “The role of marketing in supply chain management”. International journal of physical distribution management. Vol. 30, No. 9, pp. 765-787.
20
Narver, John C. and Stanley F. Slater, (1990), “The Effect of a Market Orientation on Business Profitability”, Journal of Marketing. october, pp. 20-35.
21
Olavarrieta, S. and Friedmann, R. (2008). “Market orientation, knowledge-related resources and firm performance”. Journal of Business Research, Vol. 61, No. 6, pp. 623-630.
22
Subramanian, Ram, Kumar, Kamalesh and Strandholm, Karen (2010). “The role organization competencies in the market orientation – performance relationship”. International Journal of Commerce and Management, Vol. 19, No. 1, pp. 7-26.
23
Thakkar Jitesh, Kanda Arun and Deshmukh S.G. (2009), “Supply chain performance measurement frame work for small and medium scale enterprises”, Benchmarking: An International Journal, Vol. 16, No. 5, pp. 702-723.
24
Tsiotsou Rodoula H. (2010), “Delineating the effect of market orientation on services performance: a component-wise approach”, The service Industries Journal. Vol. 30, No. 3, pp. 375-403.
25
Tukamuhabwa, B.R, Eyaa, S. and Derek,F, (2011), “Mediating Variables in the Relationship between Market Orientation and Supply Chain Performance: A Theoretical Approach”, International Journal of Business and Social Science. Vol. 2, No. 1, pp. 22 -34.
26
Tummala, V.M. Rao, Phillips, Cheryl L.M. and Melanie Johnson (2006), “Assessing supply chain management success factors: a case study”, Supply Chain Management: An International Journal, Vol. 11, No. 2, pp. 179-192.
27
Wisner, J.D. (2003). “A structural equation model of supply chain management strategies and firm performance”. Journal of Business Logistics, Vol. 24, No. 1, pp. 1-26.
28
Wong, K.Y. and Olugu, E.U. (2009). “Supply Chain Performance Evaluation: Trends and Challenges”. American Journal of Engineering and Applied Sciences, Vol. 2, No. 1, pp. 202- 211.
29
ORIGINAL_ARTICLE
Prioritization of Sustainable Production Indicators Using Fuzzy Inference System
Sustainable production is using non-polluting processes and systems by considering energy conservation and natural resources, which is sustainable in terms of economic, safety and health for employees, society and consumers. In general sustainable production refers to valuable social production for all working people. There are different perspectives on sustainable production indicators. However, some recent researches offered indicators for measuring sustainable production. Increasing the number of indicators causes managers’ confusion in using them. This paper offers a fuzzy inference system for indicators ranking in organizations. In this study, general prioritizations regardless of the type of manufacturing industry were considered and effort was focused on showing the relative degree of indicators for managers. So that it offers good understanding about importance of each indicator with regard to others for assessmenting the past, present and future of organizations. The results of the present study shows that beside economy, specialists have great attention on the environmental issues which is important and necessary for manufacturing in protecting natural resources and environments.
https://www.journal-aprie.com/article_43030_e41b3546a083458541eccf1ac2badbd9.pdf
2014-06-01
96
111
Sustainability
Sustainable Production Indicators
Fuzzy Inference Systems
Environment
Hadi
Shirouyehzad
hadi.shirouyehzad@gmail.com
1
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran
AUTHOR
Sayyed Milad
Anvari
m.anvari@sin.iaun.ac.ir
2
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran
LEAD_AUTHOR
Amindoust, A., Ahmed, S., Saghafinia, A. and Bahreininejad, A. (2012). “Sustainable supplier selection: A ranking model based on fuzzy inference system”. Applied Soft Computing. Vol. 12, No. 6, pp. 1668–1677.
1
Asan, U., Erhan Bozdag, C., and Polat, S. (2004). “A fuzzy approach to qualitative cross impact analysis”. Omega – International Journal of Management Science. Vol. 32, No. 6, pp. 443– 458.
2
Boër, C.R. and Jovane, F. (1996). “Towards a New Model of Sustainable Production: ManuFuturing”. CIRP Annals - Manufacturing Technology. Vol. 45, No. 1, pp. 415–420.
3
Bozbura, F.T. and Beskese, A. (2007). “Prioritization of organizational capital measurement indicators using fuzzy AHP”. International Journal of Approximate Reasoning. Vol. 44, No. 2, pp. 124–147.
4
Bozbura, F.T., Beskese, A. and Kahraman, C. (2007). “Prioritization of human capital measurement indicators using fuzzy AHP”. Expert Systems with Applications. Vol. 32, No. 4, pp. 1100–1112.
5
Dibella, A. and Nevis, E. (1998). How Organizations Learn: An Integrated Strategy for Building Learning Capability. San Francisco: Jossey-Bass Press.
6
Farrell, A. and Hart, M. (1998). “What does sustainability really mean?”. Environment. Vol. 40, No. 9, pp. 5–31.
7
Guimaraes, F.A.C. and Lapa, C.M.F. (2004). “Nuclear transient phase ranking table using fuzzy inference system”. Annals of Nuclear Energy. Vol. 31, No. 15, pp. 1803–1812.
8
Han, D. and Han, I. (2004). “Prioritization and selection of intellectual capital measurement indicators using analytic hierarchy process for the mobile telecommunications industry”. Expert Systems with Applications. Vol. 26, No. 4, pp. 519–527.
9
Khanlari, A., Mohammadi, K. and Sohrabi, B. (2008). “Prioritizing equipments for preventive maintenance (PM) activities using fuzzy rules”. Computers & Industrial Engineering. Vol. 54, No. 2, pp. 169–184.
10
Lowell Center for Sustainable Production (1998) Sustainable Production: A Working Definition. Informal Meeting of the Committee Members.
11
Mamdani, E.H., (1974). “Applications of fuzzy algorithms for simple dynamic plant”. Proceedings of the IEEE. Vol. 121, No. 12, pp. 1585–1588.
12
Mehralian, G., Rasekh, H.R., Akhavan, P. and Ghatari, A.R. (2013). “Prioritization of intellectual capital indicators in knowledge-based industries: Evidence from pharmaceutical industry”. International Journal of Information Management. Vol. 33, No. 2, pp. 209–216.
13
O’Brien, C. (1999). “Sustainable production – a new paradigm for a new millennium”. International Journal Production Economics. Vol. 60–61, No. 1, pp. 1–7.
14
Quinn, M., Kriebel. D., Geiser, K. and Moure-Eraso, R. (1998). “Sustainable production: A proposed strategy for the work environment”. American Journal of Industrial Medicine. Vol. 34, No. 4, pp. 297–394.
15
Ranganathan, J. (1998). Sustainability Rulers: Measuring Corporate Environmental and Social Performance. Sustainable Enterprise Perspectives. World Resource Institute: Washington, DC, Retrieved from:http://www.wri.org/meb/pdf/janet/pdf
16
Tseng, M.L. (2013). “Modeling sustainable production indicators with linguistic preferences”. Journal of Cleaner Production. Vol. 40, No. 1, pp. 46-56.
17
Tseng, M.L., Divinagracia, L. and Divinagracia, R., (2009). “Evaluating firm’s sustainable production indicators in uncertainty”. Comput. Ind. Eng. Vol. 57, No. 4, pp. 1393–1403.
18
Veleva, V. and Ellenbecker, M. (2001). “Indicators of sustainable production: framework and methodology”. Journal of Cleaner Production. Vol. 9, No. 6, pp. 519–549.
19
Vollmann, T. (1996). The transformation imperative: achieving market dominance through radical change. Boston, MA: Harvard Business School Press.
20
Von Altrock, C. (1996). Fuzzy logic and neurofuzzy applications in business and finance, New Jersey: Prentice-Hall. Zadeh, L.A. (1965). “Fuzzy set”. Information and Control. Vol. 8, No. 3, pp.338–353.
21
ORIGINAL_ARTICLE
QFD Application Using Combined ANP-DEMATEL Approach for Improving Service Quality: A Case Study of Dental Clinic
The Quality Function Deployment method (QFD) is one of the most effective tools of designing and improving quality being used in order to supply customer’s requirements and enhancing his/her satisfaction. The main purpose of this research is to prioritize the identifiers of improving servicequality of dental clinic using QFD approach and combined ANP and DEMATEL with fuzzy approach. Initially in this research, patients’ demands were determined. Before ranking, the patients’ demands were classified based on dimensions of SERVQUAL model, then they were ranked by the combined ANP and DEMATEL with fuzzy approach. Then, technical requirements were determined by nominal group technique. At last, the matrix of house of quality (HOQ) was completed that the most significant technical requirements include holding training courses, purchasing modern equipment, and recruiting skilled and committed personnel.
https://www.journal-aprie.com/article_43031_1dff44fc043176556702abecddb103e3.pdf
2014-06-01
112
129
Quality Function Deployment
Analytic Network Process
DEMATEL
Technical Requirements
Customer requirements
Mohammad Hassan
Pourkhandani
mpourkhandani@gmail.com
1
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
LEAD_AUTHOR
Seyed Javad
Iranban
2
Department of Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran
AUTHOR
Seyed Masoud
Seyedi
3
Department of Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran
AUTHOR
Ataei, M. (2010).Fuzzy multi-criteria decision making, the first edition, Sharoud industrial university publication, Shahroud, p.114. [Text in Persian]
1
Ayag, Z. Samanlioglu, F. Buyukozkan, G. (2013).” A fuzzy QFD approach to determine supply chain management strategies in the dairy industry”. Journal of Intelligent Manufacturing, Vol.24, No.6, pp.1111-1122.
2
Azar, E. Shariati rad, M. (2012). “Designing and improving the extension of quality performance (fuzzy Kano model approach)”. The scientific- investigative seasonal journal of industrial management studies, Vol.27, No.4, pp. 1-15. [Text in Persian]
3
Bahadori, M.Sadeghifar, J.Nejati, M.Hamouzadeh, P.Hakimzadeh, M. (2011).”Assessing quality of educational service by the SERVQUAL model: Viewpoints of paramedical students at Tehran University of medical science”. Technics Technologies Education Management, Vol.6, No.4, pp.1058-1065.
4
Butt, M. De Run, EC. (2011).”Private healthcare quality: applying a SERVQUAL model”. International Journal of Health Care Quall Assur, Vol.23, No.7, pp.658-673.
5
Camgoz, H.Tarim, M.Lonial, S.Yatkin, A. (2013) “QFD application using SERVQUAL for private hospitals: A case study”, Leadership in Health Services, Vol. 26, No.3, pp.119-131.
6
Chakraborty, SH. (2013).” A quality function deployment-based model for materials selection Kanika Prasad”. Materials and Design, Vol.49, No.1, pp. 525-535.
7
Chen, L.H. and Kom, W.C. (2008), “Fuzzy linear programming models for new product design using QFD with FMEA”. Applied Mathematical Modeling, Vol.11, No.5, pp. 46-58.
8
Dorriz, H. Farid, F. Seidi, D. (2010). “To survey the level of patients’ satisfaction with the offered services at dentistry college o Tehran medical sciences in the academic year 2006-2007”. The dentistry magazine of the medical sciences and health/treatment services university of Tehran. The fourth year, Vol. 23, No.2, pp.249-255. [Text in Persian]
9
Esa, R. Rajah, P. Abdul Razak,I.(2006).” Satisfaction with the oral health services. A qualitative study among Non-Commissioned Officers in the Malaysian Armed Forces”. Community Dent Health, Vol. 23, No.1, pp. 15-20.
10
Ghopanchi, j. Daghigh afkaar, m. Azadi, a. Sedaghati shayesteh, s. (2009). “The patient’s satisfaction with the offered services at the Shiraz College of dentistry”. The dentistry magazine of Shiraz medical Sciences, Vol.10, No.1, pp. P 83-86.
11
Gremyr, I. Raharjo, H. (2013) “Quality function deployment in healthcare: a literature review and case study”, International Journal of Health Care Quality Assurance, Vol. 26, No.2, pp.135 – 146.
12
Hashim, R. (2005).” Patient Satisfaction with dental services at Ajman University, United Arab Emirates”. East Mediterr Health Journal, Vol.11, No.6, pp. 913 –921.
13
Hassanpour, H. Jahanshahi, H. Ahmadi ghavaghi, M. (2012). “Fuzzy multi-criteria decision making in implementing science management”. Two seasonal journals of the researches of human sciences management of Imam Hossein Jame University, Vol.11, No.1, pp.137-163. [Text in Persian]
14
Jaafar nejad, a. Momeni, m. (2010). “To improve product quality in sweet& chocolate industry by using QFD and AHP. “ The seasonal journal of industrial management of human sciences college of Sanandaj branch, Vol.11, No.1, pp.25-49. [Text in Persian]
15
Jose, L. Francescato, D. Ferreira, N. (2013).”Quality function deployment in a public plastic surgery service in Brazil”. European Journal of Plastic Surgery, Vol.36, No.8, pp.511-518.
16
Karbaisan, m. Raadpour, h. (2011). The collection of system engineering tools for designing engineers. The first edition, science pillars. Isfahan, p. 78. [Text in Persian]
17
Kardis A, Komboli- Kodovazenti, M. Hatzigeorgiou, D. Panis, V. (2001). “Expectations and Perceptions of Greek Patients regarding the quality of dental health care”. International Journal Quality Health care, Vol.13, No.5, pp. 409-416.
18
Bahadori, M.Sadeghifar, J.Nejati, M.Hamouzadeh, P.Hakimzadeh, M. (2011).”Assessing quality of educational service by the SERVQUAL model: Viewpoints of paramedical students at Tehran University of medical science”. Technics Technologies Education Management, Vol.6, No.4, pp.1058-1065.
19
Butt, M. De Run, EC. (2011).”Private healthcare quality: applying a SERVQUAL model”. International Journal of Health Care Quall Assur, Vol.23, No.7, pp.658-673.
20
Camgoz, H.Tarim, M.Lonial, S.Yatkin, A. (2013) “QFD application using SERVQUAL for private hospitals: A case study”, Leadership in Health Services, Vol. 26, No.3, pp.119-131.
21
Chakraborty, SH. (2013).” A quality function deployment-based model for materials selection Kanika Prasad”. Materials and Design, Vol.49, No.1, pp. 525-535.
22
Chen, L.H. and Kom, W.C. (2008), “Fuzzy linear programming models for new product design using QFD with FMEA”. Applied Mathematical Modeling, Vol.11, No.5, pp. 46-58.
23
Dorriz, H. Farid, F. Seidi, D. (2010). “To survey the level of patients’ satisfaction with the offered services at dentistry college o Tehran medical sciences in the academic year 2006-2007”. The dentistry magazine of the medical sciences and health/treatment services university of Tehran. The fourth year, Vol. 23, No.2, pp.249-255. [Text in Persian]
24
Esa, R. Rajah, P. Abdul Razak,I.(2006).” Satisfaction with the oral health services. A qualitative study among Non-Commissioned Officers in the Malaysian Armed Forces”. Community Dent Health, Vol. 23, No.1, pp. 15-20.
25
Ghopanchi, j. Daghigh afkaar, m. Azadi, a. Sedaghati shayesteh, s. (2009). “The patient’s satisfaction with the offered services at the Shiraz College of dentistry”. The dentistry magazine of Shiraz medical Sciences, Vol.10, No.1, pp. P 83-86.
26
Gremyr, I. Raharjo, H. (2013) “Quality function deployment in healthcare: a literature review and case study”, International Journal of Health Care Quality Assurance, Vol. 26, No.2, pp.135 – 146.
27
Hashim, R. (2005).” Patient Satisfaction with dental services at Ajman University, United Arab Emirates”. East Mediterr Health Journal, Vol.11, No.6, pp. 913 –921.
28
Hassanpour, H. Jahanshahi, H. Ahmadi ghavaghi, M. (2012). “Fuzzy multi-criteria decision making in implementing science management”. Two seasonal journals of the researches of human sciences management of Imam Hossein Jame University, Vol.11, No.1, pp.137-163. [Text in Persian]
29
Jaafar nejad, a. Momeni, m. (2010). “To improve product quality in sweet& chocolate industry by using QFD and AHP. “ The seasonal journal of industrial management of human sciences college of Sanandaj branch, Vol.11, No.1, pp.25-49. [Text in Persian]
30
Jose, L. Francescato, D. Ferreira, N. (2013).”Quality function deployment in a public plastic surgery service in Brazil”. European Journal of Plastic Surgery, Vol.36, No.8, pp.511-518.
31
Karbaisan, m. Raadpour, h. (2011). The collection of system engineering tools for designing engineers. The first edition, science pillars. Isfahan, p. 78. [Text in Persian]
32
Kardis A, Komboli- Kodovazenti, M. Hatzigeorgiou, D. Panis, V. (2001). “Expectations and Perceptions of Greek Patients regarding the quality of dental health care”. International Journal Quality Health care, Vol.13, No.5, pp. 409-416.
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