استفاده از روش نقشه شناختی در طراحی مدل زنجیره تامین پایدار بیمارستان‌ها در محیط فازی نوع 2
محورهای موضوعی : -مدارک پزشکی
سید حبیب الله میرغفوری
1
(دانشیار، گروه مدیریت صنعتی، دانشکده اقتصاد، مدیریت و حسابداری، دانشگاه یزد، ایران)
علی مروتی شریف آبادی
2
(دانشیار، گروه مدیریت صنعتی، دانشکده اقتصاد، مدیریت و حسابداری، دانشگاه یزد، ایران)
سلیم کریمی تکلو
3
(دانشجوی دکتری گروه مدیریت صنعتی، دانشکده اقتصاد، مدیریت و حسابداری، دانشگاه یزد، ایران)
کلید واژه: بیمارستان, فازی نوع 2, زنجیره تامین خدمات, زنجیره تامین پایدار, نقشه شناختی,
چکیده مقاله :
مقدمه: با وجود اهمیت بخش خدمات و افزایش سهم آن در اقتصاد جهان، مطالعات در مورد زنجیره تامین بخش خدمات در مقایسه با بخش صنعت، به دلیل مشکلات ذاتی در توسعة مدل استاندارد زنجیرۀ تأمین و پیچیدگی فرایندهای طراحی و تحویل آنها، بسیار نادر و کمیاب است. در بین بخش‌های خدماتی، حوزه بهداشت و درمان به عنوان یکی از بزرگ‌ترین حوزها در بخش خدمات فرصت مناسبی برای تاثیرگذاری بر عملکرد پایدار دارد. هدف این مقاله در ابتدا شناسایی مفاهیم موثر بر زنجیره تامین پایدار بیمارستان‌ها و سپس طراحی مدل زنجیره تامین پایدار بیمارستان می باشد. روش پژوهش: این پژوهش از لحاظ هدف کاربردی و توسعه‌ای است. در این مطالعه ابتدا با استفاده از مصاحبه عمیق با خبرگان بیمارستان، مفاهیم موثر بر زنجیره تامین پایدار بیمارستان استخراج گردید و سپس با روش دلفی مفاهیم در قالب 15 مفهوم اصلی قرار داده شدند و با روش نقشه شناختی فازی نوع 2 مدل زنجیره تامین پایدار طراحی گردید. یافته‌ها: در این پژوهش 68 مفهوم موثر بر زنجیره تامین پایدار بیمارستان شناسایی و در قالب 15 مفهوم اصلی قرار گرفت. نتایج نشان داد از بین 15 مفهوم، مدیریت ارائه خدمات از جمله مفاهیمی می‌باشد که در بیمارستان‌ها دارای تاثیرپذیری و تاثیرگذاری بالایی است و با مدیریت کردن این مفهوم، می توان به زنجیره تامین پایدار موثرتری در بیمارستان رسید. نتیجه‌گیری: با تمرکز بر روی مفاهیمی چون مدیریت ارائه خدمات و مدیریت ظرفیت و منابع که دارای مرکزیت بالایی دارند می‌توان به بهبود زنجیره تامین پایدار بیمارستان کمک زیادی نمود.
Introduction: Despite the importance of the service sector and its contribution to the world economy, studies on the supply chain of the service sector in comparison with the industrial sector are very rare The purpose of this paper are: identify effective concepts on the sustainable supply chain of hospitals, and design a sustainable supply chain model for the hospital. Methods: This study is an applied descriptive survey. its nature is a type of qualitative and Delphi methods. At first, using deep interviews, effective concepts on the sustainable supply chain of the hospital were extracted. Then, using the Delphi method, the concepts were placed in the form of 15 main concepts. then, using of Type-2 fuzzy cognitive mapping method a causal model of sustainable supply chain were desined. Results: Effective concepts on the sustainable supply chain include 68 concepts that are in the form of the 15 main concepts such as: demand management, resource and capacity management, customer relationship management, supplier relationship management, service management, information management, financial performance management, Attention to the environment, contamination, energy consumption, legal requirements, employees, community and stakeholders, social accountability and business ethics. Based 15 concepts, the mapping of the sustainable supply chain of the hospital was designed. The results indicate that service delivery management is highly central among other concepts. Conclusion: By focusing on concepts such as service management and capacity and resources management that have a high level of focus, a sustained supply chain supply chain can be improved.
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2- Baltacioglu T. A New Framework for Service Supply Chains. The Service Industries, 2007; 27(2): 105-124.
3- Carter CR, Roger DS. A framework of sustainable supply chain management: moving toward new theory. International Journal of Physical Distribution & Logistics Management, 2008; 38 (5): 360-387.
4- Paul R, Kleindorfer, Kalyan Singhal ET Luk N. Wassenhove. Sustainable Operations Management ». Production and Operations Management, 2005; 14(4): 482-492.
5- Seuring S, Müller M. Core issues in sustainable supply chain management – a Delphi study, Business Strategy and the Environment, 2008; 17(8): 455–466.
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7- Ahi P, Searcy C. Assessing sustainability in the supply chain: A triple bottom line approach, Applied Mathematical Modelling, 2015; 39 (10): 2882-2896.
8- Brandenburg M, Govindan K, Sarkis J, Seuring S. Quantitative models for sustainable supply chain management: Developments and directions, European Journal of Operational Research, 2014; 233(2): 299-312.
9- Ahi P, Searcy C. A comparative literature analysis of definitions for green and sustainable supply chain management. Journal of Cleaner Production, 2013; 52: 329-341.
10- Wittstruck D, Teuteberg F. Understanding the success factors of sustainable supply chain management: empirical evidence from the electrics and electronics industry. Corporate Social Responsibility and Environmental Management, 2011; 19(3): 141-158.
11- Touboulic A, Walker H. Theories in sustainable supply chain management: a structured literature review, International Journal of Physical Distribution & Logistics Management, 2015; 45(1).
12- Willard B. The Sustainability Advantage: Seven Business Case Benefits of a Triple Bottom Line. New Society, Gabriola Island, BC; 2002.
13- SundarakaniB, De SouzaR, Goh M, WagnerSM, ManikandanS. Modeling carbon footprints across the supply chain. Int J Prod Econ, 2010; 128: 43–50.
14- CucekL, KlemešJJ, KravanjaZ. A review of footprint analysis tools for monitoring impacts on sustainability. J. Cleaner Prod, 2012; 34: 9–20.
15- Gaussin M, Hu G, Abolghasem S, Basu S, Shankar MR, Bidanda B. Assessing the environmental footprint of manufactured products: A survey of current literature. International Journal of Production Economics, 2013; 146 (2): 515 -523.
16- Neves AR, Leal V. Energy sustainability indicators for local energy planning: Review of current practices and derivation of a new framework. Renew Sustain Energy Rev, 2010; 14: 2723–35.
17- Mayyas A, Qattawi A, Omar M, Shan D. Design for sustainability in automotive industry: a comprehensivere view. Renew Sustain Energy Rev; 2012; 16:1845–62
18- Cho DW, Lee YH, Ahn S, H. Hwang MK. A framework for measuring the performance of service supply chain management. Computers & Industrial Engineering, 2012; 62: 801–818.
19- Haksever C, Render B. Service Management: An Integrated Approach to Supply Chain Management and Operations: FT Press; 2013.
20- Iranian Statistics Center. Labor Force Survey Results. Tehran: Iran Statistics Center 1392.
21- Van Ark B, Mahony M., Timmer MP. The productivity gap between Europe and the United States: trends and causes. Journal of Economic Perspectives, 2008; 22(1): 25-44.
22- Sampson SE, Froehle CM. Foundations and implications of a proposed unified services theory. Production and Operations Management, 2006; 15(2): 329-343.
23- Hussain M; Khan M, Al-Aomar R. A framework for supply chain sustainability in service industry with CFA. Renew. Sustain. Energy Rev. 2015; 55: 1301–1312.
24- Truffer A. Health Spending Projections Through 2019: The Recession Continues, Health Affairs Journal, 2010; 29(3): 522–529.
25- Chung JW, Meltzer DO. Journal of the American Medical Association, November 2009; 302(18): 1970–1972.
26- Seuring S, Muller M. Core issues in sustainable supply chain management—a Delphi study.
Bus. Strategy Environ, 2008; 17: 455–466.
27- Weihua L, Enze B, Liwei L and Wanying W. A Framework of Sustainable Service Supply Chain Management: A Literature Review and Research Agenda. Journal of sustainability; 2017.
28- McGain F, Naylor C. Environmental sustainability in hospitals – a systematic review and research agenda. Journal of Health Services Research & Policy, 2014; 19(4), 245–252.
29- De Vries J, Huijsman R. Supply chain management in health services: an overview, Supply Chain Management: An International Journal, 2011; 16 (3).
30- Pheng TK, Hamdani Y, Zailani S., Investigation on Service Supply Chain in Private Hospitals Malaysia, Proceedings of the International Conference on Industrial Engine; 2014: 1569.
31- Borgonovi E, Compagni A. Sustaining Universal Health Coverage: The Interaction of Social, Political, and Economic Sustainability. Value in Health, 2013; 16(1): 34–38.
32- Axelrod R. Structure of Decision: The Cognitive Maps of Political Elites, Princeton University Press, Princeton, NJ; 1976.
33- Kosko B. adaptive bi-directional associative memories. IEEE Trans. Srst. Mancybern, 1998; 18(1): 49- 60
34- Schneider M, Shnaider E, Kandel A, and Chew G. Automatic Construction of FCMs. Fuzzy Sets and Systems, 1998; 93: 161-172.
35- Luis Rodriguez-Repisoa, Rossitza Setchia,*, Jose Luis Salmeronb. Modelling IT Projects Success with Fuzzy Cognitive Maps. Expert Systems with Applications, 2007; 32(2): 543-559
36- Mendel, J. M. Type-2 Fuzzy Sets. In Uncertain Rule-Based Fuzzy Systems; 2017: 259–306.
37- Kahraman C, Öztayşi B, Uçal Sarı İ, Turanoğlu E. Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowledge-Based Systems, 2014; 59: 48–57.
38- Merriam, Sharan B, Case Study Research in Education: A Qulitative Approach, San Francisco; 1988.
39- Sadipur E. Research Methods in Psychology and Educational Sciences, 2014, Dorn publishing.
40- Lambert D, Cooper M. Issue in supply chain management. Industrial marketing management, 2000; 29(1): 65-83.
41- Zhu Q, Geng Y. Drivers and barriers of extended supply chain practices for energy saving and emission reduction among Chinese manufacturers. Journal of Cleaner Production, 2013; 40: 6–12.
42- Giménez C, Lourenço H. R. e-SCM : internet ’ s impact on supply chain processes, 2004, https://doi.org/10.1108/09574090810919189
43- Abdullah L, Najib L. A new type-2 fuzzy set of linguistic variables for the fuzzy analytic hierarchy process. Expert Syst. Appl, 2014; 41: 3297–3305.
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1- Ellram L, Tate W, Billington C. Understanding and managing the services supply chain. Journal of Supply Chain Management, 2004; 40(4): 17–32.
2- Baltacioglu T. A New Framework for Service Supply Chains. The Service Industries, 2007; 27(2): 105-124.
3- Carter CR, Roger DS. A framework of sustainable supply chain management: moving toward new theory. International Journal of Physical Distribution & Logistics Management, 2008; 38 (5): 360-387.
4- Paul R, Kleindorfer, Kalyan Singhal ET Luk N. Wassenhove. Sustainable Operations Management ». Production and Operations Management, 2005; 14(4): 482-492.
5- Seuring S, Müller M. Core issues in sustainable supply chain management – a Delphi study, Business Strategy and the Environment, 2008; 17(8): 455–466.
6- Teuteberg F, Wittstruck D. A systematic review of sustainable supply chain management research: What is there and what is missing? MKWI 2010 – Betriebliches.
7- Ahi P, Searcy C. Assessing sustainability in the supply chain: A triple bottom line approach, Applied Mathematical Modelling, 2015; 39 (10): 2882-2896.
8- Brandenburg M, Govindan K, Sarkis J, Seuring S. Quantitative models for sustainable supply chain management: Developments and directions, European Journal of Operational Research, 2014; 233(2): 299-312.
9- Ahi P, Searcy C. A comparative literature analysis of definitions for green and sustainable supply chain management. Journal of Cleaner Production, 2013; 52: 329-341.
10- Wittstruck D, Teuteberg F. Understanding the success factors of sustainable supply chain management: empirical evidence from the electrics and electronics industry. Corporate Social Responsibility and Environmental Management, 2011; 19(3): 141-158.
11- Touboulic A, Walker H. Theories in sustainable supply chain management: a structured literature review, International Journal of Physical Distribution & Logistics Management, 2015; 45(1).
12- Willard B. The Sustainability Advantage: Seven Business Case Benefits of a Triple Bottom Line. New Society, Gabriola Island, BC; 2002.
13- SundarakaniB, De SouzaR, Goh M, WagnerSM, ManikandanS. Modeling carbon footprints across the supply chain. Int J Prod Econ, 2010; 128: 43–50.
14- CucekL, KlemešJJ, KravanjaZ. A review of footprint analysis tools for monitoring impacts on sustainability. J. Cleaner Prod, 2012; 34: 9–20.
15- Gaussin M, Hu G, Abolghasem S, Basu S, Shankar MR, Bidanda B. Assessing the environmental footprint of manufactured products: A survey of current literature. International Journal of Production Economics, 2013; 146 (2): 515 -523.
16- Neves AR, Leal V. Energy sustainability indicators for local energy planning: Review of current practices and derivation of a new framework. Renew Sustain Energy Rev, 2010; 14: 2723–35.
17- Mayyas A, Qattawi A, Omar M, Shan D. Design for sustainability in automotive industry: a comprehensivere view. Renew Sustain Energy Rev; 2012; 16:1845–62
18- Cho DW, Lee YH, Ahn S, H. Hwang MK. A framework for measuring the performance of service supply chain management. Computers & Industrial Engineering, 2012; 62: 801–818.
19- Haksever C, Render B. Service Management: An Integrated Approach to Supply Chain Management and Operations: FT Press; 2013.
20- Iranian Statistics Center. Labor Force Survey Results. Tehran: Iran Statistics Center 1392.
21- Van Ark B, Mahony M., Timmer MP. The productivity gap between Europe and the United States: trends and causes. Journal of Economic Perspectives, 2008; 22(1): 25-44.
22- Sampson SE, Froehle CM. Foundations and implications of a proposed unified services theory. Production and Operations Management, 2006; 15(2): 329-343.
23- Hussain M; Khan M, Al-Aomar R. A framework for supply chain sustainability in service industry with CFA. Renew. Sustain. Energy Rev. 2015; 55: 1301–1312.
24- Truffer A. Health Spending Projections Through 2019: The Recession Continues, Health Affairs Journal, 2010; 29(3): 522–529.
25- Chung JW, Meltzer DO. Journal of the American Medical Association, November 2009; 302(18): 1970–1972.
26- Seuring S, Muller M. Core issues in sustainable supply chain management—a Delphi study.
Bus. Strategy Environ, 2008; 17: 455–466.
27- Weihua L, Enze B, Liwei L and Wanying W. A Framework of Sustainable Service Supply Chain Management: A Literature Review and Research Agenda. Journal of sustainability; 2017.
28- McGain F, Naylor C. Environmental sustainability in hospitals – a systematic review and research agenda. Journal of Health Services Research & Policy, 2014; 19(4), 245–252.
29- De Vries J, Huijsman R. Supply chain management in health services: an overview, Supply Chain Management: An International Journal, 2011; 16 (3).
30- Pheng TK, Hamdani Y, Zailani S., Investigation on Service Supply Chain in Private Hospitals Malaysia, Proceedings of the International Conference on Industrial Engine; 2014: 1569.
31- Borgonovi E, Compagni A. Sustaining Universal Health Coverage: The Interaction of Social, Political, and Economic Sustainability. Value in Health, 2013; 16(1): 34–38.
32- Axelrod R. Structure of Decision: The Cognitive Maps of Political Elites, Princeton University Press, Princeton, NJ; 1976.
33- Kosko B. adaptive bi-directional associative memories. IEEE Trans. Srst. Mancybern, 1998; 18(1): 49- 60
34- Schneider M, Shnaider E, Kandel A, and Chew G. Automatic Construction of FCMs. Fuzzy Sets and Systems, 1998; 93: 161-172.
35- Luis Rodriguez-Repisoa, Rossitza Setchia,*, Jose Luis Salmeronb. Modelling IT Projects Success with Fuzzy Cognitive Maps. Expert Systems with Applications, 2007; 32(2): 543-559
36- Mendel, J. M. Type-2 Fuzzy Sets. In Uncertain Rule-Based Fuzzy Systems; 2017: 259–306.
37- Kahraman C, Öztayşi B, Uçal Sarı İ, Turanoğlu E. Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowledge-Based Systems, 2014; 59: 48–57.
38- Merriam, Sharan B, Case Study Research in Education: A Qulitative Approach, San Francisco; 1988.
39- Sadipur E. Research Methods in Psychology and Educational Sciences, 2014, Dorn publishing.
40- Lambert D, Cooper M. Issue in supply chain management. Industrial marketing management, 2000; 29(1): 65-83.
41- Zhu Q, Geng Y. Drivers and barriers of extended supply chain practices for energy saving and emission reduction among Chinese manufacturers. Journal of Cleaner Production, 2013; 40: 6–12.
42- Giménez C, Lourenço H. R. e-SCM : internet ’ s impact on supply chain processes, 2004, https://doi.org/10.1108/09574090810919189
43- Abdullah L, Najib L. A new type-2 fuzzy set of linguistic variables for the fuzzy analytic hierarchy process. Expert Syst. Appl, 2014; 41: 3297–3305.