مسیریابی- مکان‌یابی زنجیره تأمین فرآورده‌های خونی در شرایط وقوع بحران زلزله با در نظر گرفتن میزان ریشتر زلزله (نمونه پژوهش: شهر تهران)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری ، گروه مدیریت صنعتی، دانشکده اقتصاد و مدیریت ، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.

2 دانشیار، گروه مدیریت صنعتی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران.

3 دانشیار، گروه مدیریت صنعتی، دانشکده مدیریت دانشگاه تهران، تهران، ایران .

4 استاد، گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد، دانشگاه تربیت مدرس، تهران، ایران

چکیده

زنجیرة تأمین خون یکی از بخش‌های استراتژیک نظام سلامت می‌باشد. خون به عنوان یک مسئلة حیاتی و بسیار مهم، که در زمان وقوع زلزله تقاضای آن به ‌شدت افزایش پیدا می‌کند، شناخته می‌شود. تأمین خون کافی، به خصوص در شرایط اضطراری، چالشی بزرگ است. مکان‌‌یابی مناسب پایگاه‌های اهداء خون در مدیریت عرضه نقش به سزایی دارد. در این مقاله، مسئلة مسیریابی- مکان‌یابی زنجیرة تأمین فرآورده‌های خونی در شرایط وقوع بحران زلزله، با در نظر گرفتن میزان ریشتر زلزله (نمونة پژوهش: شهر تهران)، مورد مطالعه قرار گرفته است. اهدف این مقاله عبارتند از: کمینه کردن هزینه‌ها و زمان ارسال فرآورده‌های خونی، مکان‌یابی مراکز خون‌گیری و مراکز درمانی موقت و مسیریابی فاز توزیع. در این مقاله از روش اقلیدسی و الگوریتم کوتاه‌ترین مسیر جهت تعیین مسیر وسایل نقلیه و برای مکان‌یابی از نرم‌افزارهای Arc Map و Arc Gis استفاده شده است. نتایج حاکی از آن است که برای کاهش هزینه‌ها باید پایگاه‌هایی نزدیک به مراکز خون برای احداث انتخاب شوند و با توجه به مطلوبیت، اهداکنندگان به پایگاه‌های نزدیک تخصیص ‌یابند تا مطلوبیت بیشتری کسب کنند و مراکز درمانی موقت باید در مناطق مناسبی تأسیس شوند تا حداکثر آسیب‌دیدگان پوشش‌دهی شوند. همچنین نتایج نشان داد که کاربران زنجیرة تأمین فرآورده-های خونی، با توجه به تعیین مسیرهای امن، قادر به تصمیم‌گیری صحیح خواهند بود.

کلیدواژه‌ها


عنوان مقاله [English]

Routing-Locating the Blood Products Supply Chain in the Event of an Earthquake Crisis, Considering the Earthquake Magnitude (Richter) (Case Study: Tehran City)

نویسندگان [English]

  • Meysam karamipour 1
  • Mohammad Ali Afshar Kazemi 2
  • Ezatollah Asghari Zadeh 3
  • Adel Azar 4
1 Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Associate Prof., Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran , Iran
3 Associate Prof., Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
4 Department of Industrial Management, Faculty of Management and Economic, Tarbiat Modares University, Tehran, Iran
چکیده [English]

One of the strategic parts of the health system is the blood supply chain. Blood is known as a vital and key issue with a sharply increasing demand for which over an earthquake. Sufficient blood supply, particularly in emergencies, is a major challenge. Properly locating the blood donation centers plays a significant role in supply management. In the present paper, the problem of routing-locating of the blood products supply chain in the event of an earthquake crisis has been reviewed, considering the magnitude of the earthquake (Richter) (case study: Tehran city). The objectives of this paper include minimization of the costs and time of sending blood products, location of blood collection centers and temporary treatment centers, as well as routing the distribution phase. The Euclidean method and the shortest route algorithm are employed in this paper in order to specify the route of vehicles, while Arc Map and Arc GIS software are used for location. The results suggest that bases close to blood centers should be chosen for construction to reduce costs, and given the desirability, donors should be allocated to nearby bases in order to obtain more desirability, and temporary medical centers must be established in suitable areas to cover most of the injured victims. Furthermore, the results indicate that through determining safe routes, blood supply chain users will be able to make proper decisions.

کلیدواژه‌ها [English]

  • Routing
  • Earthquake Magnitude (Richter)
  • Blood Supply Chain
  • Uncertainty
  • Locating
[1]      Gunpinar, S., & Centeno, G. (2015). Stochastic integer programming models for reducing wastages and shortages of blood products at hospitals. Computers & Operations Research54, 129-141.
[2]      Zahiri, B., Torabi, S. A., Mousazadeh, M., & Mansouri, S. A. (2015). Blood collection management: Methodology and application. Applied Mathematical Modelling, 39(23-24), 7680-7696. (in Persian)
[3]      Negaresh, d. H., (2001) "Earthquake, cities and faults", Geographical Research, No. 1. (in Persian)
[4]      Fereiduni, M., & Shahanaghi, K. (2016). A robust optimization model for blood supply chain in emergency situations. International Journal of Industrial Engineering Computations7(4), 535-554.
[5]      Ramezanian, R., & Behboodi, Z. (2017). Blood supply chain network design under uncertainties in supply and demand considering social aspects. Transportation Research Part E: Logistics and Transportation Review104, 69-82.
[6]      Salehi, F., Mahootchi, M., & Husseini, S. M. M. (2017). Developing a robust stochastic model for designing a blood supply chain network in a crisis: A possible earthquake in Tehran. Annals of Operations Research, 1-25.
[7]      Kamyabniya, A., Lotfi, M. M., Naderpour, M., & Yih, Y. (2018). Robust platelet logistics planning in disaster relief operations under uncertainty: a coordinated approach. Information Systems Frontiers20(4), 759-782.
[8]      Ensafian, H., Yaghoubi, S., & Yazdi, M. M. (2017). Raising quality and safety of platelet transfusion services in a patient-based integrated supply chain under uncertainty. Computers & Chemical Engineering106, 355-372.
[9]      Samani, M. R. G., Hosseini-Motlagh, S. M., Sheshkol, M. I., & Shetab-Boushehri, S. N. (2019). A bi-objective integrated model for the uncertain blood network design with raising products quality. European Journal of Industrial Engineering13(5), 553-588.
[10]   Hosseini-Motlagh, S. M., Samani, M. R. G., & Cheraghi, S. (2019). Robust and stable flexible blood supply chain network design under motivational initiatives. Socio-Economic Planning Sciences, 100725.
[11]   Mansoori, Soheil, Bozorgi Amiri, Ali, Biatloo, Fatemeh. (2018). Provide a robust two-objective optimization model for the design of an emergency blood supply network under uncertainty. New Research in Decision Making, 3 (2), 249-274.
[12]   Salehi Sarbijan, Morteza, Behnamian, Javad. (2019). Modeling and solving the problem of routing the production of several products based on outsourcing and accident risk in transportation. New Research in Decision Making, 5 (2), 137-163. (in Persian)
[13]   Kolyaei, M., Azar, A., Amini, M., & Rajabzadeh Gatari, A. (2016). Design of integrated mathematical model for closed-loop supply chain. Management Research in Iran20(1), 1-32. (in Persian)
[14]   Farrokh, M., Azar, A., & Jandaghi, G. (2016). A novel robust fuzzy programming approach for closed loop supply chain design. Modern Research in Decision Making1(3), 131-160. (in Persian)
[15]    Jafarnejad, A., Safari, H., Azar, A., & Ebrahimi, S. A. (2015). Supply chain orders management based on both traditional and activity-based costing and their comparison. Management Research in Iran18(4), 23-42. (in Persian)
[16]    Hamdan, B., & Diabat, A. (2019). A two-stage multi-echelon stochastic blood supply chain problem. Computers & Operations Research101, 130-143.
[17]    Rajendran, S., & Ravindran, A. R. (2019). Inventory management of platelets along blood supply chain to minimize wastage and shortage. Computers & Industrial Engineering130, 714-730.
[18]    Ezugwu, A. E., Olusanya, M. O., & Govender, P. (2019). Mathematical model formulation and hybrid metaheuristic optimization approach for near-optimal blood assignment in a blood bank system. Expert Systems with Applications137, 74-99.
[19]   Habibi-Kouchaksaraei, M., Paydar, M. M., & Asadi-Gangraj, E. (2018). Designing a bi-objective multi-echelon robust blood supply chain in a disaster. Applied Mathematical Modelling55, 583-599.
[20]   Kurup, R., Anderson, A., Boston, C., Burns, L., George, M., & Frank, M. (2016). A study on blood product usage and wastage at the public hospital, Guyana. BMC research notes9(1), 1-6.
[21]    Mobasher, A., Ekici, A., & Özener, O. Ö. (2015). Coordinating collection and appointment scheduling operations at the blood donation sites. Computers & Industrial Engineering87, 260-266.
[22]   Mansur, A., Vanany, I., & Arvitrida, N. I. (2018). Challenge and opportunity research in blood supply chain management: a literature review. In MATEC Web of Conferences (Vol. 154, p. 01092). EDP Sciences. (in Persian)
[23]   Yousefinejad Attari, Mehdi, Pasandideh, Seyed Hamid Reza, Aghaei, Afsaneh, Akhavan Niaki, Seyed Taghi. (2019). Reducing the cost of waste and shortage of different blood products of hospitals by considering the compatibility of different groups. Industrial Management Studies, 17 (53), 1-31. doi: 10.22054 / jims.2017.16777.1598.
[24]   Dodman, Mansour, Bozorgi Amiri, Ali. (1398). Designing an integrated blood supply chain network under conditions of uncertainty, taking into account lateral transfers. Industrial Management Perspective, 9 (4).9-40.
[25]    Javadi Azar, R., Vosoughi, B., Ghaffari Razin, M., (2015). "Analysis of crustal deformation in Iran with Novozhilov medium period criterion using finite element method", Journal of Surveying Science and Technology, Pp. 85 -93. (in Persian)
[26]    Samaei, Meqdad, Barzegari, Amir, Qoyimi Panah, Mohammad Reza, Jafari, Farhad, Shami, Abolfazl. (2019). Simulation of probable scenarios of earthquake occurrence in Tehran. Journal of Earth Sciences.26 (103), 141-156. doi: 10.22071/gsj.2017.4677. (in Persian)
[27]    Pourmohammadi, M. R., & Mosayebzadeh, A. (2008). The vulnerability of Iranian cities against earthquake and the role of neighborhood participation in providing assistance for them. (in Persian)