بهینه سازی مساله انتخاب شریک با رویکرد شرکت مجازی و زمانبندی حمل و نقل مشارکتی
محورهای موضوعی : تحقیق در عملیات
نازنین قاسمی
1
(گروه مهندسی صنایع، دانشگاه آزاد اسلامی واحد علوم و تحقیقات، تهران، ایران)
علی حسین زاده کاشان
2
(دانشکده مهندسی صنایع و سیستم ها، دانشگاه تربیت مدرس)
سید اسماعیل نجفی
3
(گروه مهندسی صنایع، دانشگاه آزاد اسلامی واحد علوم و تحقیقات، تهران، ایران)
کلید واژه: Collaborative transportation, Virtual enterprise, Partner selection,
چکیده مقاله :
در تجارت رقابتی امروز، شرکت‌ها بی وقفه به دنبال راه‌های جدید برای کاهش هزینه‌ها و بهبود کیفیت محصولات خود هستند. یک شرکت برای ماندگاری در بازار به منابع مختلفی احتیاج دارد که برای شرکت‌های کوچک و متوسط می‌تواند چالش برانگیز است. بنابراین، شرکت‌ها برای رسیدن به اهداف مشترکشان ظرفیت‌های خود را با یکدیگر به اشتراک می‌گذارند. این اشتراک‌گذاری می‌تواند تحت عنوان یک شرکت مجازی صورت گیرد. شرکت مجازی یک اتحاد اقتصادی است که در آن چندین شرکت توانایی‌های خود را برای تهیه محصولات و خدمات خاص ارائه می‌دهند. اموری که به طور سنتی توسط یک شرکت واحد صورت می‌پذیرفت. مزایای شرکت مجازی ساختار انعطاف‌پذیر و ارائه‌ی پاسخ سریع به بازار است که محصولات و خدمات را با هزینه کمتر، کیفیت بالاتر، ریسک کمتر و مدت زمان کوتاهتر فراهم می‌کند. بنابراین، انتخاب شریک مناسب برای تکمیل پروژه‌ها یک امر مهم و حیاتی جهت موفقیت در ایجاد همکاری بین شرکت‌ها است. در این مطالعه، یک مدل انتخاب شریک جدیدکه یک برنامه‌ریزی خطی عدد صحیح مختلط (MILP) مبتنی بر مفهوم شرکت مجازی با در نظر گرفتن حمل و نقل مشترک تحت فرضیات مشخص در شرایط قطعی ارائه شده است. هم چنین، یک مثال عددی برای بررسی رفتار مدل مورد تجزیه و تحلیل قرار گرفته و نتایج آن گزارش شده است. نهایتا، حساسیت تابع هدف توسط برخی پارامترها تحلیل می‌شود و نتایج نشان می‌دهد که با افزایش دو پارامتر حداکثر تعداد زیر پروژه‌هایی انجام شده توسط یک شریک و ظرفیت حمل و نقل، مجموع هزینه های شبکه یا کاهش پیدا می‌کند یا تغییری نمی‌کند.
In today’s competitive business, companies are continuously looking for new ways to reduce their costs and improve their products’ quality. A company needs various resources to stay in the market and it can be challenging to provide these resources for small and medium-sized companies. Therefore, companies share their capacities with each other to achieve their common goals. This sharing can be done under the title of a virtual enterprise. A virtual enterprise is an economic alliance in which several companies share their capabilities to provide specific products and services. Virtual company’ advantages over the traditional companies include flexible structure and quick response to the market. VE should provide the situation for manufacturing products and services at a lower cost and higher quality with less risk and shorter lead times. So, partner selection has become a vital task for companies. The success of a virtual company is dependent on the selection of partners.In this study, a new partner selection model is presented with a VE concept integrated with collaborative transportation. The proposed model is presented in deterministic state. A numerical example is analyzed to investigate model behavior, and the results are presented and discussed. Finally, the sensitivity of the objective function is analyzed by some parameters and the results show that by increasing two parameters, the maximum number of sub-projects carried out by a partner and the transportation capacity, the total costs either decrease or remain unchanged.
[1] Unver, H. O., & Kilic, S. E. "Design of a Customer's Type Based Algorithm for Partner Selection Problem of Virtual Enterprise". Procedia Computer Science, 95, (2016): 467-474.
[2] Mehrjerdi, Y. Z., & Alipour, M. "Partners' Selection in Supply Chain Asing System Dynamics Approach". International Journal of Engineering Science (2008-4870), (2016):27(4).
[3] Wu, L., & Chiu, M. L. Examining supply chain collaboration with determinants and performance impact: Social capital, justice, and technology use perspectives. International Journal of Information Management,39,(2018):5-19.
[4] Ip, W. H., Huang, M., Yung, K. L., & Wang, D. Genetic "algorithm solution for a risk-based partner selection problem in a virtual enterprise". Computers & Operations Research,30(2),(2003):213-231.
[5] Zhao, Q., Zhang, X., & Xiao, R. "Particle swarm optimization algorithm for partner selection in virtual enterprise". Progress in Natural Science, 18(11), (2008): 1445-1452.
[6] Twardy, D., & Duysters, M. "Partner selection: A source of alliance success". Research Project, Eindhoven University of Technology and Zuyd University of Applied Science, (2009).
[7] Dickson, G. W. "An analysis of vendor selection systems and decisions". Journal of purchasing, 2(1), (1966): 5-17.
[8] Weber, C. A., Current, J. R., & Benton, W. C. "Vendor selection criteria and methods". European journal of operational research, 50(1), (1991): 2-18.
[9] De Boer, L., Labro, E., & Morlacchi, P. "A review of methods supporting supplier selection". European journal of purchasing & supply management, 7(2), (2001): 75-89.
[10] Huang, X. G., Wong, Y. S., & Wang, J. G. "A two-stage manufacturing partner selection framework for virtual enterprises". International Journal of Computer Integrated Manufacturing, 17(4), (2004): 294-304.
[11] Crispim, J. A., & Pinho de Sousa, J. "Partner selection in virtual enterprises: a multi-criteria decision support approach". International Journal of Production Research, 47(17), (2009): 4791-4812.
[12] Zhang, Y., Tao, F., Laili, Y., Hou, B., Lv, L., & Zhang, L. "Green partner selection in virtual enterprise based on Pareto genetic algorithms". The International Journal of Advanced Manufacturing Technology, 67(9-12), (2013): 2109-2125.
[13] Dao, S. D., Abhary, K., & Marian, R. "Optimization of partner selection and collaborative transportation scheduling in Virtual Enterprises using GA". Expert Systems with Applications, 41(15), (2014): 6701-6717.
[14] Wu, C., & Barnes, D. "An integrated model for green partner selection and supply chain construction". Journal of Cleaner Production, 112, (2016): 2114-2132.
[15] Meng, F., Wang, N., & Xu, Y. "Interval neutrosophic preference relations and their application in virtual enterprise partner selection". Journal of Ambient Intelligence and Humanized Computing, 10(12), (2019): 5007-5036.
[16] Cheng, C. Y., & Tang, M. J. "Partner-selection effects on venture capital investment performance with uncertainties". Journal of Business Research, 95, (2019): 242-252.
[17] Wu, C., Zhang, Y., Pun, H., & Lin, C. "Construction of partner selection criteria in sustainable supply chains: A systematic optimization model". Expert Systems with Applications, 158, (2020): 113643.
[18] Wang, C., Wu, R., & Deng, L. "An incentive mechanism for partner selection from a collaborative network with private information". Computers & Industrial Engineering, 154, (2021): 107053.
[19] Crispim, J. A., & de Sousa, J. P. "Partner selection in virtual enterprises". International Journal of Production Research, 48(3), (2010): 683-707.
[20] Solesvik, M. Z., & Encheva, S. "Partner selection for interfirm collaboration in ship design". Industrial Management & Data Systems. (2010).
[21] Yu, C., & Wong, T. N. "Multiple products partner selection model of virtual enterprise based on multi-agent systems". In Proceedings of the World Congress on Engineering, (2011).
[22] Qi, F., & Chen, Z. "Partner selection and optimization based on manufacturing resource sharing platform for virtual enterprise". In Informatics and Management Science (2013):119-126.
[23] Crispim, J., Rego, N., & Pinho de Sousa, J. "Stochastic partner selection for virtual enterprises: a chance-constrained approach". International Journal of Production Research, 53(12), (2015): 3661-3677.
[24] Abdelsalam, H. M., & Mohamed, A. M. "Multi-objective simulated annealing algorithm for partner selection in virtual enterprises". In Artificial intelligence, evolutionary computing, and metaheuristics (2013) :751-774
[25] Prakash, C., & Barua, M. K. "An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment". Resources, Conservation and Recycling, 108, (2016): 63-81.
[26] Salamat, V., Aliahmadi, A., Pishvaee, M., & Hafeez, K. "A robust fuzzy possibilistic AHP approach for partner selection in international strategic alliance". Decision Science Letters, 7(4), (2018): 481-502.
[27] Kao, C., "Efficiency measurement for parallel production systems". European Journal of Operational Research, 196(3), (2009): 1107-1112.
[28] Seiford LM, and Zhu J "Profitability and marketability of the top 55 US commercial banks". Management science. 45(9), (1999): 1270-1288
[29] Lafkihi, M., Pan, S., & Ballot, E. "Rule-based incentive mechanism design for a decentralized collaborative transport network". International Journal of Production Research, 58(24), (2020): 7382-7398