شناسایی و اولویت‌بندی عوامل کلیدی موفقیت پیاده‌سازی لجستیک الکترونیک در شهرک سلامت اصفهان
محورهای موضوعی : -مدارک پزشکی
سعید دارابی
1
(دانشجوی کارشناسی‌ارشد مهندسی صنایع، دانشکده فنی و مهندسی، واحد نجف‌آباد، دانشگاه آزاد اسلامی، اصفهان، ایران)
مهدی ایران پور
2
(استادیار، دانشکده مهندسی صنایع و سیستم‌ها، دانشگاه صنعتی اصفهان، اصفهان، ایران)
عاطفه امین دوست
3
(استادیار، گروه مهندسی صنایع، دانشکده فنی و مهندسی، واحد نجف‌آباد، دانشگاه آزاد اسلامی، اصفهان، ایران)
کلید واژه: عوامل کلیدی موفقیت, خدمات سلامت, خوشه‌بندی کامینز, لجستیک الکترونیک,
چکیده مقاله :
مقدمه: سازمان‌های ارائه‌دهنده خدمات بهداشتی و درمانی نقش اساسی در هر جامعه‌ای دارند. برخورداری این سازمان‌ها از فرآیند‌های الکترونیکی می‌تواند در کیفیت و کمیت خدمات و متعاقبا بهبود وضعیت سلامت جامعه تاثیر بسزایی بگذارد. پژوهش حاضر جهت شناسایی و اولویت‌بندی عوامل کلیدی برای پیاده‌سازی لجستیک الکترونیک در شهرک سلامت اصفهان انجام می‌گیرد. روش پژوهش: پس از بررسی پیشینه پژوهش، 28 عامل به عنوان عوامل موثر بر پیاده‌سازی لجستیک الکترونیک استخراج گردید. در ادامه میزان تاثیر عوامل بر اساس نظر خبرگان و با استفاده از روش‌های تصمیم‌گیری گروهی مشخص شد، به منظور غربال کردن عوامل نامرتبط یا کم اهمیت از روش خوشه‌بندی کامینز استفاده گردید. سپس با بهره‌گیری از روش جدید رتبه‌بندی اعداد فازی به نام روش مرکز ثقل که مبتنی بر فاصله بین دو عدد فازی است، اولویت‌بندی عوامل از نظر شاخص کلی اثربخشی هزینه‌ای انجام گرفت. یافته‌ها: با انجام غربالگری توسط روش خوشه‌بندی کامینز 8 عامل حذف شده و اولویت‌بندی 20 عامل باقیمانده بر حسب شاخص کلی اثربخشی هزینه‌ای صورت گرفت. پس از محاسبه فاصله هر عامل با بازه حداکثر و حداقل عوامل، عامل تدوین چشم‌انداز با مقدار 761/3 و عامل نگهداری و تعمیرات با مقدار 093/0 به ترتیب به عنوان مهم‌ترین و کم اهمیت‌ترین عامل شناخته شدند. نتیجه‌گیری: در این پژوهش مشخص شد که عوامل تدوین چشم‌انداز، استراتژی و تعهد و حمایت مدیریت جهت پیاده‌سازی لجستیک الکترونیک در شهرک سلامت اصفهان به ترتیب از بالاترین اهمیت برخوردارند.
Introduction: The organizations providing health services have a significant role in the society. Organizations the utilization of the electronic process can improve the quality and capacity of services and so the level of in the health society. This study identifies and prioritizes the key factors to implement the electronic logistics in the Isfahan Health City. Methods: by reviewing the literature, 28 potential factors for implementation of E-logistics were extracted. After that, the degree of significant of these factors was determined according to the expert using group decision making. to screen the in significant factors a method based on K-means clustering was used. Then using a recent method for ranking the fuzzy numbers, which is based on the interval of the fuzzy numbers and the center of gravity, the space the factors were prioritize according to the overall cost effectiveness index. Results: by K-Means clustering method 8 factors have been screened and the 20 remaining factors were prioritize according to the overall cost effectiveness index. After calculating the distance of each factor with maximum and minimum range of factors, the vision factor with score 3.761 and the Maintenance factor with score 0.093 were identified as the most important and the least important factors respectively. Conclusion: In this study it was found that vision, create project teams, strategy and management support are the most importance factors for the implementation of E-logistics.
1- Mehrban A, Mojdeh N, Jalali A. E- Logistic and its important And role in supplychain management. Fourth National Conference on e-commerce; 2007.
2- Kathryn J, Marion H, Ball J. Business in Healthcare From eProcurement to Supply Chain Management. Health Informatics (formerly Computers in Health Care); 2007.
3- Sabetti M، Razavi M. Identification and rating of critical success factors for technology transfer, information systems in Iran's auto industry. Quarterly Journal of parks and incubator; 2010.
4- Kamunyori J، Emma S. Business Case for an Electronic Logistics Management Information System. U.S. Agency for International Development; 2013.
5- Kamunyori J, Ahmed M. Nigeria: Readiness Assessment for an Electronic Logistics Management Information System in Bauchi State, U.S. Agency for International Development; 2012.
6- Ferretti M, Favalli F, Zangrandi A. Impact of a logistic improvement in a hospital pharmacy: effects on the economics of a healthcare organization. Journal of Engineering, Science and Technology, 2014; 6(3): 85-95.
7- Amiri Y، Salarzerehi H, Parish R. Identify and prioritize the factors affecting the implementation of e-business in small and medium companies using fuzzy MADM, Journal of change management; 2011.
8- Yaghobi N, Shokohi J, Jafari H. Identification and rating of key factors influencing the use of cloud computing in e-health, Journal of Information Processing and Management, 2014; 30(2): 572-549.
9- Ngai E, Cheng T, Ho S. Critical Success Factors of Web-based Supply Chain Management System Using Exploratory Factor Analysis. Production, Planning & Control, 2004, 5(6): 622 - 630.
10- Vaidya K, Sajeev A, Callender G. Critical Factors That Influence E-Procurment Implementation Success In The Public Sector, Journal Of Public Procurment, 2006; 6(1-3): 70-99.
11- Wittstruck D, Teuteber F. Understanding the Success Factors of Sustainable Supply Chain Management: Empirical Evidence from the Electrics and Electronics Industry، Institute of Information Management and Corporate Governance, University of Osnabrueck; 2011.
12- Raieninezhad A. Identifying and prioritizing the factors influencing the success of science and technology foresight in the field of economy, Management Science Letters, 2014; 4: 1885–1892.
13- Tung F, Chang S, Chou C. An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry, international journal of medical informatics, 2008; 77: 324-335.
14- Drodchi M, Nikmehr N. The importance of information technology in supply chain management, Fourth National Conference on e-commerce; 2007.
15- Pedrycz W، Ekel P، Parreiras R. Fuzzy Multicriteria Decisiin-Making Models, Methods and Applications, 2011.
16- Goli Chenari F، Saniee M. Review on the k- means clustering algorithm and meta-heuristic algorithms in order to deal with the disadvantages of k-means algorithm Congress computer science, computer engineering and information technology, 2012.
17- Salahshour S, Abbasbandy S, Allahviranloo, T. Ranking fuzzy numbers using fuzzy maximizing-minimizing points, Atlantis Press, 2011.
18- Aleksic A، Tadic D، Stefanovic M. Managment Of Keystone Vulnerabilities In Small And Medium Enterprizes–The Fuzzy Model For Assesment, Innovative management & business performance, 2012.
19- Onut S, Kara S, Isik E. Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company, Expert Systems with Applications, 2009; 36 (2): 3887–3895.
20- Vencheh A, Allame M. on the relation between a fuzzy number and its centroid, Computers and Mathematics with Applications, 2010; 59: 3578–358.
21- Jaffarnejad A, Mahdiji H. Design and control of the supply chain. Kind of book publishing, Tehran, 2012.
22- Sharifi S. Providing a comprehensive model plan for the reproduction system, Production planning and marketing, Faculty of Engineering, Islamic Azad University, Najaf Abad, 2010.
23- Rahnavard F, Mohammadi A. Identify the critical success factors of knowledge management systems in universities and higher education centers in Tehran”, Journal of Technology Management, 2009; 1(3): 52-37
24- Hong-Oanh N, Critical factors in e-business adoption: Evidence from Australian transport and logistics companies،, Int. J. Production Economics, 2013; 146: 300–312.
25- Rockart, J. Chief executives define their own information needs, Harvard Business Review, 1979; 59(2): 81-93.
26- Bruno A, Leidecker J. Identifying and Using Critical Success Factors. In: Long Range Planning, 1984; 17(1): 23-32.
27- Pinto J, Slevin D. Critical Factors in Successful Project Implementation, In IEEE Transactions on Engineering Management, 1987; 34(1): 22-27.
28- Alazmi M, Zairi M. Knowledge management critical success factors, Total Quality Management, 2003; 14(2): 199-204.
29- Alberto D, Anna C, Giuilio M, Francesca P. Factor influencing Logistics Service Providers Efficiency in urban Distribution System, transition research procedia, 2014; 3: 499-507.
30- Christian L, Ehrentraut F, Jodin D. Containers for the Physical Internet: requirements and engineering design related to FMCG logistics, Logistics Research, 2015.
31- Denolf J, Trienekens J, Wognum P. Towards a framework of critical success factors for implementing supply chain information systems, Computers in Industry, 2015.
32- Kadłubek M. The Selected Areas of E-logistics in Polish E-commerce, Procedia Computer Science, 2015; 65: 1059-1065.
33- Chung P, Chuen R, Cheng C. Implementation of e-Logistics Systems for Developing EC Capability in Small and Medium-sized Enterprises: A Conceptual Model International Journal of e-Education, e-Business, e-Management and e-Learning; 2015: 5.
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1- Mehrban A, Mojdeh N, Jalali A. E- Logistic and its important And role in supplychain management. Fourth National Conference on e-commerce; 2007.
2- Kathryn J, Marion H, Ball J. Business in Healthcare From eProcurement to Supply Chain Management. Health Informatics (formerly Computers in Health Care); 2007.
3- Sabetti M، Razavi M. Identification and rating of critical success factors for technology transfer, information systems in Iran's auto industry. Quarterly Journal of parks and incubator; 2010.
4- Kamunyori J، Emma S. Business Case for an Electronic Logistics Management Information System. U.S. Agency for International Development; 2013.
5- Kamunyori J, Ahmed M. Nigeria: Readiness Assessment for an Electronic Logistics Management Information System in Bauchi State, U.S. Agency for International Development; 2012.
6- Ferretti M, Favalli F, Zangrandi A. Impact of a logistic improvement in a hospital pharmacy: effects on the economics of a healthcare organization. Journal of Engineering, Science and Technology, 2014; 6(3): 85-95.
7- Amiri Y، Salarzerehi H, Parish R. Identify and prioritize the factors affecting the implementation of e-business in small and medium companies using fuzzy MADM, Journal of change management; 2011.
8- Yaghobi N, Shokohi J, Jafari H. Identification and rating of key factors influencing the use of cloud computing in e-health, Journal of Information Processing and Management, 2014; 30(2): 572-549.
9- Ngai E, Cheng T, Ho S. Critical Success Factors of Web-based Supply Chain Management System Using Exploratory Factor Analysis. Production, Planning & Control, 2004, 5(6): 622 - 630.
10- Vaidya K, Sajeev A, Callender G. Critical Factors That Influence E-Procurment Implementation Success In The Public Sector, Journal Of Public Procurment, 2006; 6(1-3): 70-99.
11- Wittstruck D, Teuteber F. Understanding the Success Factors of Sustainable Supply Chain Management: Empirical Evidence from the Electrics and Electronics Industry، Institute of Information Management and Corporate Governance, University of Osnabrueck; 2011.
12- Raieninezhad A. Identifying and prioritizing the factors influencing the success of science and technology foresight in the field of economy, Management Science Letters, 2014; 4: 1885–1892.
13- Tung F, Chang S, Chou C. An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry, international journal of medical informatics, 2008; 77: 324-335.
14- Drodchi M, Nikmehr N. The importance of information technology in supply chain management, Fourth National Conference on e-commerce; 2007.
15- Pedrycz W، Ekel P، Parreiras R. Fuzzy Multicriteria Decisiin-Making Models, Methods and Applications, 2011.
16- Goli Chenari F، Saniee M. Review on the k- means clustering algorithm and meta-heuristic algorithms in order to deal with the disadvantages of k-means algorithm Congress computer science, computer engineering and information technology, 2012.
17- Salahshour S, Abbasbandy S, Allahviranloo, T. Ranking fuzzy numbers using fuzzy maximizing-minimizing points, Atlantis Press, 2011.
18- Aleksic A، Tadic D، Stefanovic M. Managment Of Keystone Vulnerabilities In Small And Medium Enterprizes–The Fuzzy Model For Assesment, Innovative management & business performance, 2012.
19- Onut S, Kara S, Isik E. Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company, Expert Systems with Applications, 2009; 36 (2): 3887–3895.
20- Vencheh A, Allame M. on the relation between a fuzzy number and its centroid, Computers and Mathematics with Applications, 2010; 59: 3578–358.
21- Jaffarnejad A, Mahdiji H. Design and control of the supply chain. Kind of book publishing, Tehran, 2012.
22- Sharifi S. Providing a comprehensive model plan for the reproduction system, Production planning and marketing, Faculty of Engineering, Islamic Azad University, Najaf Abad, 2010.
23- Rahnavard F, Mohammadi A. Identify the critical success factors of knowledge management systems in universities and higher education centers in Tehran”, Journal of Technology Management, 2009; 1(3): 52-37
24- Hong-Oanh N, Critical factors in e-business adoption: Evidence from Australian transport and logistics companies،, Int. J. Production Economics, 2013; 146: 300–312.
25- Rockart, J. Chief executives define their own information needs, Harvard Business Review, 1979; 59(2): 81-93.
26- Bruno A, Leidecker J. Identifying and Using Critical Success Factors. In: Long Range Planning, 1984; 17(1): 23-32.
27- Pinto J, Slevin D. Critical Factors in Successful Project Implementation, In IEEE Transactions on Engineering Management, 1987; 34(1): 22-27.
28- Alazmi M, Zairi M. Knowledge management critical success factors, Total Quality Management, 2003; 14(2): 199-204.
29- Alberto D, Anna C, Giuilio M, Francesca P. Factor influencing Logistics Service Providers Efficiency in urban Distribution System, transition research procedia, 2014; 3: 499-507.
30- Christian L, Ehrentraut F, Jodin D. Containers for the Physical Internet: requirements and engineering design related to FMCG logistics, Logistics Research, 2015.
31- Denolf J, Trienekens J, Wognum P. Towards a framework of critical success factors for implementing supply chain information systems, Computers in Industry, 2015.
32- Kadłubek M. The Selected Areas of E-logistics in Polish E-commerce, Procedia Computer Science, 2015; 65: 1059-1065.
33- Chung P, Chuen R, Cheng C. Implementation of e-Logistics Systems for Developing EC Capability in Small and Medium-sized Enterprises: A Conceptual Model International Journal of e-Education, e-Business, e-Management and e-Learning; 2015: 5.