سامانه پشتیبانی خدمات اطلاعات

  اخبار و اعلانات

 آمار

تعداد نشریات158
تعداد شماره‌ها6,230
تعداد مقالات67,755
تعداد مشاهده مقاله115,100,099
تعداد دریافت فایل اصل مقاله89,852,454
Haji Mohammad Ali Jahromi, Meghdad, Kashanian, Abbas. (1397). A linear mathematical programming model for the governmental barter supply chain. , 52(3), 337-347. doi: 10.22059/jieng.2019.253859.1557
Meghdad Haji Mohammad Ali Jahromi; Abbas Kashanian. "A linear mathematical programming model for the governmental barter supply chain". , 52, 3, 1397, 337-347. doi: 10.22059/jieng.2019.253859.1557
Haji Mohammad Ali Jahromi, Meghdad, Kashanian, Abbas. (1397). 'A linear mathematical programming model for the governmental barter supply chain', , 52(3), pp. 337-347. doi: 10.22059/jieng.2019.253859.1557
Haji Mohammad Ali Jahromi, Meghdad, Kashanian, Abbas. A linear mathematical programming model for the governmental barter supply chain. , 1397; 52(3): 337-347. doi: 10.22059/jieng.2019.253859.1557

A linear mathematical programming model for the governmental barter supply chain

Advances in Industrial Engineering
مقاله 3، دوره 52، شماره 3، دی 2018، صفحه 337-347    اصل مقاله (660.53 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jieng.2019.253859.1557
نویسندگان
Meghdad Haji Mohammad Ali Jahromi* 1؛ Abbas Kashanian2
1Department of Industrial Engineering, Damavand Branch, Islamic Azad University, damavand, iran
2engineer of industrial
چکیده
Exchange of goods with goods or supplies Although the long-standing method is in trade, today, new and emerging networks of national and international networks have found a special place. Aiding economic boom, confronting monetary sanctions, maintaining foreign exchange reserves, maintaining labor force, etc. is one of the benefits of modern markets. Given the widespread presence of these markets, proper management to balance the market, reduce costs, reduce the risk of entry into a network, etc., requires a thorough and math-molded modeling. In this paper, a multipurpose mathematical optimization problem has been designed and implemented with the aim of reducing the costs and liabilities of countries by considering a government-run network of several countries as members of the network to supply the goods needed by each country. The results of solving the proposed model show that the proposed model can provide a suitable model for the production and exchange of goods between the countries forming a public government network.
کلیدواژه‌ها
Barter؛ Mathematical optimization؛ Governmental supply chain؛ network of governmental exchange
عنوان مقاله [English]
ارائۀ مدل برنامه ریزی ریاضی خطی برای زنجیرۀ تأمین تهاتری دولتی
نویسندگان [English]
مقداد حاجی محمدعلی جهرمی1؛ عباس کاشانیان2
1استادیار گروه مهندسی صنایع، واحد دماوند، دانشگاه آزاد اسلامی، دماوند، ایران
2دانش آموخته کارشناسی ارشد مهندسی صنایع، واحد دماوند، دانشگاه آزاد اسلامی، دماوند، ایران
چکیده [English]
تبادل کالا با کالا یا تهاتر روشی دیرینه در مبادلات تجاری است، اما امروزه شبکه‌های نوین تهاتری در سطح ملی و بین‌المللی جایگاه ویژه‌ای یافته‌اند. کمک به رونق اقتصادی، مقابله با تحریم‌های پولی، حفظ ذخایر ارزی، حفظ نیروی کار و موارد دیگر از جمله مزایای بازارهای نوین تهاتری است. با توجه به گستردگی این بازارها، مدیریت صحیح برای ایجاد توازن در بازار، کاهش هزینه‌ها، کاهش ریسک ورود به شبکة تهاتری مستلزم مدل‌بندی دقیق و جامع ریاضی است. در این مقاله، با درنظرگرفتن شبکة تهاتری دولتی شامل چندین کشور به‌عنوان اعضای این شبکه، به‌منظور تأمین کالاهای مورد نیاز هر کشور، مسئلة بهینه‌سازی ریاضی چندهدفه با هدف کاهش هزینه‌ها و بدهی کشورها طراحی و ارائه شد. نتایج حاصل از حل مدل ارائه‌شده نشان می‌دهد این مدل الگوی مناسبی برای تولید و تبادل کالا میان کشورهای تشکیل‌دهندة شبکة تهاتری دولتی ارائه می‌دهد.
کلیدواژه‌ها [English]
بهینه‌سازی ریاضی, تهاتر, زنجیرة تأمین دولتی, شبکة تهاتر دولتی
مراجع
  1. O'Sullivan, A., and Sheffrin, S. M., (2007). Economics: Principles in action. Pearson/Prentice Hall.
  2. Zhang, K., and Antonopoulos, N., (2013). “A Novel Bartering Exchange Ring Based Incentive Mechanism For Peer-To-Peer Systems”, Future Generation Computer Systems, Vol. 105, No. 2, PP. 361-369.
  3. Abdulkadiroglu, A., and Sönmez, T., (1999). “House allocation with existing tenants”, Journal of Economic Theory, Vol. 88, No. 2, PP. 233–260.
  4. Syeda, Z., and Peter, B., (2018). “Cloud provider Capacity Augmentation through Automated Resource Bartering”, Future Generation Computer Systems, Vol. 102, No. 1, PP. 203-218.
  5. Roth, A. E., Sönmez, T., and Ünver, M., (2004). “Kidney exchange”, The Quarterly Journal of Economics, Vol. 119, No. 2, PP. 457–488.
  6. Roth, A. E., Sönmez, T., and Ünver, M. (2005). “A kidney exchange clearinghouse in new England”, American Economic Review, PP. 376–380.
  7. Sönmez, T., and Switzer, T. B., (2013). “Matching with (branch-of-choice) Contracts at the United States Military Academy”, Econometric, Vol. 81, No. 2, PP. 451–488.
  8. Fang, W., Tang, P., and Zuo, S., (2016). “Digital good exchange”, In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, PP. 264–270.
  9. Luo, S., and Tang, P., (2015). “Mechanism Design and Implementation for Lung Exchange”, In IJCAI.
  10.  Li, J.  et al., (2014). “Egalitarian Pairwise Kidney Exchange: Fast Algorithms Vialinear Programming and Parametric Flow”, In Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems, PP. 445–452.
  11.  Abraham, D. J., Blum, A., and Sandholm, T., (2007). “Clearing Algorithms for Barter Exchange Markets: Enabling Nationwide Kidney Exchanges”, In Proceedings of the 8th ACM Conference on Electronic Commerce, PP. 295–304.
  12.  Sobhanallahi, M. A. and Kohgard, A., (2016). “Productivity Method for Economic Growth without Liquidity Growth”, Journal of Research in Economic Modeling, Vol. 6, No. 24, PP. 201-225.
  13.  Kim, B. Y. and Pirttilä, J., (2004). “Money, barter, and inflation in Russia”, Journal of Comparative Economics, Vol. 32, No. 2, PP. 297-314.
  14.  Maria, J., and Elena, R., (2018). “Aligning Supply Chain Design for Boosting Resilience”, Business Horizons,Vol. 29, No. 2, PP. 85-93.
  15.  Sreedevi, R., and Saranga, H., (2017). “Uncertainty and Supply Chain Risk: The Moderating Role of Supply Chain Flexibility In Risk Mitigation”, International Journal of Production Economics, Vol. 193, , PP. 332-342
  16.  Banerjee, A.V., and Maskin, E. S., (1996). “A Walrasian Theory of Money and Barter”, The Quarterly Journal of Economics, Vol. 111, No. 4, PP. 955-1005.
  17.  Cellarius, B. A., (2000). “You Can Buy Almost Anything with Potatoes: An Examination of Barter During Economic Crisis in Bulgaria”, Ethnology, Vol. 39, No. 1, PP. 73-92.
  18.  Chen, S., and Kao, Y. C., (2010). “Money, barter, and consumption interdependence”, Economics Letters, Vol. 106, No. 2, PP. 119-121.
  19.  Núñez, M., Rodríguez, I., and Rubio, F., (2005). “Formal specification of multi-agent e-barter systems”, Science of Computer Programming, Vol. 57, No. 2, PP. 187-216.
  20.  Sudzina, F., (2012). “Motives for Barter in Developing, Transition, And Developed Economies”, 1st International Conference on Economics, Political and Law Science, Zlin, Czech Republic, PP. 125-129.
  21.  Anderson, R.  et al., (2014). “A Dynamic Model of Barter Exchange”, In Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, PP. 1925-1933
  22. 22.               Taleizadeh, A., and Dariyan, M., (2018). “Developing a Model of Economic Production in Integrated and Non-Integrated Three-Level Supply Chains with Consideration of Optimal Inventory Control Policy”, Industrial Engineering Journal, Vol. 52, No. 1, PP. 125-137. (In Persian)
  23.  Akbari Jokar, M. R., Abochenari, M., and Akefi, H., (2016). “Designinig of Chain Network to Provide Complete Packet Ring Under the Conditions of Demand Uncertainty and Return of Products”, Industrial Engineering Journal, Vol. 50, No. 3, PP. 355-369. (In Persian)
  24.  A linear mathematical programming model for the governmental barter supply chain
  25.  Meghdad Haji Mohammad Ali Jahromim, Abbas Kashaniyan
  26.  Meghdad Haji Mohammad Ali Jahromim , Assistant Professor of Industrial engineering Department, Damavand Branch, Islamic Azad University, Damavand, Iran
  27.  Abbas Kashaniyan, Graduated of Master of Science, Industrial engineering Department, Damavand Branch, Islamic Azad University, Damavand, Iran

 

آمار
تعداد مشاهده مقاله: 454
تعداد دریافت فایل اصل مقاله: 405


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب