| تعداد نشریات | 61 |
| تعداد شمارهها | 2,201 |
| تعداد مقالات | 17,933 |
| تعداد مشاهده مقاله | 54,980,952 |
| تعداد دریافت فایل اصل مقاله | 28,774,472 |
توسعه مدل همیاری وسائل نقلیه یخچالی و غیریخچالی برای کالاهای فسادپذیر | ||
| مطالعات مدیریت صنعتی | ||
| مقاله 5، دوره 20، شماره 65، تیر 1401، صفحه 143-183 اصل مقاله (2.13 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22054/jims.2022.36129.2168 | ||
| نویسندگان | ||
| شقایق وزیری1؛ فرهاد اعتباری* 2؛ بهنام وحدانی2 | ||
| 1دانشجوی دکتری مهندسی صنایع،دانشگاه آزاد اسلامی،واحد قزوین | ||
| 2استادیار، دانشگاه آزاد اسلامی، واحد قزوین، گروه مهندسی صنایع، قزوین، ایران | ||
| چکیده | ||
| مسئله همیاری ناوگان حملونقل برای بهینهسازی لجستیک بخشی اساسی از زنجیره تأمین پایدار است و در سالهای اخیر بهطور فزایندهای موردبررسی قرار میگیرد. در این پژوهش نوع جدیدی از مدل غیرخطی ریاضی برای همکاری ناوگان حملونقل توسعه داده میشود. این مسئله شامل مجموعه از وسائلنقلیه ناهمگن با ظرفیتهای مشخص برای سرویسدهی کالاهای فسادپذیر را در بر میگیرد. کالاها با نرخ ثابتی فاسد میشوند. هدف از این مدل پیدا کردن مسیر شدنی بهمنظور حداکثر کردن سود در راستای بالا بردن میزان رضایت مشتری است. افزایش رضایت مشتری بر اساس میزان تازگی کالاها تعریف میشود. مدل پیشنهادی کاربردهای فراوانی را شامل میباشد؛ به کاهش آلودگی ناشی از حملونقل به میزان قابلتوجهی کمک میکند. برای حل مدل، الگوریتم ژنتیک هیبریدی توسعه داده میشود که جهت هدفمندتر شدن الگوریتم برای تولید مقادیراولیه از ساختار همسایگی استفاده میگردد. بهمنظور اعتبارسنجی نتایج بهدستآمده نتایج روش شاخه وحد که در نرمافزار گمز تهیهشده، با مثالهای عددی مقایسه میشود. نتایج بهدستآمده حاکی از آن است که الگوریتم پیشنهادی کارایی لازم برای به دست آوردن جواب منطقی در بازه زمانی مشخص را دارا میباشد. | ||
| کلیدواژهها | ||
| همیاری افقی لجستیک؛ مسئله برداشت و تحویل؛ تابع رضایت مشتری؛ پخش محصولات غذایی فسادپذیر؛ وسیله نقلیه یخچالی | ||
| مراجع | ||
|
Barkaoui, M., Berger, J., & Boukhtouta, A. (2015). Customer satisfaction in dynamic vehicle routing problem with time windows. Applied Soft Computing, 35, 423-432.
Bell, J. E., & McMullen, P. R. (2004). Ant colony optimization techniques for the vehicle routing problem. Advanced engineering informatics, 18(1), 41-48.
Berbeglia, G., Cordeau, J. F., & Laporte, G. (2010). Dynamic pickup and delivery problems. European journal of operational research, 202(1), 8-15. https://doi.org/10.1016/j.ejor.2009.04.024ttps
Braekers, K., Ramaekers, K., & Van Nieuwenhuyse, I. (2016). The vehicle routing problem: State of the art classification and review. Computers & Industrial Engineering, 99, 300-313.
Cai, X., Chen, J., Xiao, Y., Xu, X., & Yu, G. (2013). Fresh-product supply chain management with logistics outsourcing. Omega, 41(4), 752-765.
Cordeau, J. F., G. Laporte, M. W. P. Savelsbergh, & D. Vigo. (2007). Chapter 6 Vehicle Routing. Handbooks in Operations Research & Management Science 14: 367–428. https://doi.org/10.1016/S0927-0507(06)14006-2
Dai, B., & Chen, H. (2012). Profit allocation mechanisms for carrier collaboration in pickup and delivery service. Computers & Industrial Engineering, 62(2), 633-643
Dai, B., Chen, H., & Yang, G. (2014). Price-setting based combinatorial auction approach for carrier collaboration with pickup and delivery requests. Operational Research, 14(3), 361-386. https://doi.org/10.1007/s12351-014-0141-1
Dror, M., & Trudeau, P. (1989). Savings by split delivery routing. Transportation Science, 23(2), 141-145.
Eksioglu, B., Vural, A. V., & Reisman, A. (2009). The vehicle routing problem: A taxonomic review. Computers & Industrial Engineering, 57(4), 1472-1483. https://doi.org/10.1016/j.cie.2009.05.009
Farahani, P., Grunow, M., & Günther, H. O. (2012). Integrated production and distribution planning for perishable food products. Flexible services and manufacturing journal, 24(1), 28-51.
Fernández, E., Roca-Riu, M., & Speranza, M. G. (2018). The shared customer collaboration vehicle routing problem. European Journal of Operational Research, 265(3), 1078-1093.
Fraley, S., Oom, M., Terrien, B., & Date, J. (2006). Design of experiments via Taguchi methods: orthogonal arrays. The Michigan chemical process dynamic and controls open text book, USA, vol 2. No. 3. p 4.
Jiang, Y., Bian, B., & Liu, Y. (2020). Integrated multi-item packaging and vehicle routing with split delivery problem for fresh agri-product emergency supply at large-scale epidemic disease context. Journal of Traffic and Transportation Engineering (English Edition).
Gansterer, M., & Hartl, R. F. (2018). Collaborative vehicle routing: a survey. European Journal of Operational Research, 268(1), 1-12.
Gansterer, M., Küçüktepe, M., & Hartl, R. F. (2017). The multi-vehicle profitable pickup and delivery problem. OR Spectrum, 39(1), 303-319. https://doi.org/10.1007/s00291-016-0454-y
Ghilas, V., Demir, E., & Van Woensel, T. (2016). A scenario-based planning for the pickup and delivery problem with time windows, scheduled lines and stochastic demands. Transportation Research Part B: Methodological, 91, 34-51. https://doi.org/10.1016/j.trb.2016.04.015
Govindan, K., Jafarian, A., Khodaverdi, R., & Devika, K. (2014). Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food. International Journal of Production Economics, 152, 9-28.
Goyal, S. K., & Giri, B. C. (2001). Recent trends in modeling of deteriorating inventory. European Journal of operational research, 134(1), 1-16.
Holland, J. H. (1992). Genetic algorithms. Scientific american, 267(1), 66-73 https://doi.org/10.1016/j.jclepro.2017.01.001
Hu, H., Zhang, Y., & Zhen, L. (2017). A two-stage decomposition method on fresh product distribution problem. International Journal of Production Research, 1-24.
Iassinovskaia, G., Limbourg, S., & Riane, F. (2017). The inventory-routing problem of returnable transport items with time windows and simultaneous pickup and delivery in closed-loop supply chains. International Journal of Production Economics, 183, 570-582.
Kachitvichyanukul, V., Sombuntham, P., & Kunnapapdeelert, S. (2015). Two solution representations for solving multi-depot vehicle routing problem with multiple pickup and delivery requests via PSO. Computers & Industrial Engineering, 89, 125-136. https://doi.org/10.1016/j.cie.2015.04.011
Karaesmen, I. Z., Scheller–Wolf, A., & Deniz, B. (2011). Managing perishable and aging inventories: review and future research directions. In Planning production and inventories in the extended enterprise (pp. 393-436). Springer US
Laporte, G. (2009). Fifty years of vehicle routing. Transportation science, 43(4), 408-416.
Li, Y., Chen, H., & Prins, C. (2016). Adaptive large neighborhood search for the pickup and delivery problem with time windows, profits, and reserved requests. European Journal of Operational Research, 252(1), 27-38 https://doi.org/10.1016/j.ejor.2015.12.032
Nahmias, S. (1982). Perishable inventory theory: A review. Operations research, 30(4), 680-708.
Nowak, M., Ergun, Ö., & White III, C. C. (2008). Pickup and delivery with split loads. Transportation Science, 42(1), 32-43.
Osvald, A., & Stirn, L. Z. (2008). A vehicle routing algorithm for the distribution of fresh vegetables and similar perishable food. Journal of food engineering, 85(2), 285-295.
Padmanabhan, B., Huynh, N., Ferrell, W., & Badyal, V. (2020). Potential benefits of carrier collaboration in vehicle routing problem with pickup and delivery. Transportation Letters, 1-16
Parragh, S. N., Doerner, K. F., & Hartl, R. F. (2008). A survey on pickup and delivery models part ii: Transportation between pickup and delivery locations. Journal für Betriebswirtschaft, 58(2), 81-117.
Rahimi, M., Baboli, A., & Rekik, Y. (2014, December). A bi-objective inventory routing problem by considering customer satisfaction level in context of perishable product. In Computational Intelligence in Production and Logistics Systems (CIPLS), 2014 IEEE Symposium on (pp. 91-97). IEEE.
Song, B. D., & Ko, Y. D. (2016). A vehicle routing problem of both refrigerated-and general-type vehicles for perishable food products delivery. Journal of Food Engineering, 169, 61-71.
Vaziri, S., Etebari, F., & Vahdani, B. (2019). Development and optimization of a horizontal carrier collaboration vehicle routing model with multi-commodity request allocation. Journal of Cleaner Production, 224, 492-505.
Verdonck, L., Caris, A. N., Ramaekers, K., & Janssens, G. K. (2013). Collaborative logistics from the perspective of road transportation companies. Transport Reviews, 33(6), 700-719.
Wang, C., Zhao, F., Mu, D., & Sutherland, J. W. (2013, September). Simulated annealing for a vehicle routing problem with simultaneous pickup-delivery and time windows. In IFIP international conference on advances in production management systems (pp. 170-177). Springer, Berlin, Heidelberg.
Wang, H. F., & Chen, Y. Y. (2013). A coevolutionary algorithm for the flexible delivery and pickup problem with time windows. International Journal of Production Economics, 141(1), 4-13.
Wang, X., Wang, M., Ruan, J., & Zhan, H. (2016). The Multi-objective Optimization for Perishable Food Distribution Route Considering Temporal-spatial Distance. Procedia Computer Science, 96, 1211-1220.
Wang, Y., Ma, X. L., Lao, Y. T., Yu, H. Y., & Liu, Y. (2014). A two-stage heuristic method for vehicle routing problem with split deliveries and pickups. Journal of Zhejiang University SCIENCE C, 15(3), 200-210.
Wang, Y., Ma, X., Xu, M., Liu, Y., & Wang, Y. (2015). Two-echelon logistics distribution region partitioning problem based on a hybrid particle swarm optimization–genetic algorithm. Expert Systems with Applications, 42(12), 5019-5031.
Wu, Q., Mu, Y., & Feng, Y. (2015). Coordinating contracts for fresh product outsourcing logistics channels with power structures. International Journal of Production Economics, 160, 94-105.
Zachariadis, E. E., Tarantilis, C. D., & Kiranoudis, C. T. (2015). The load-dependent vehicle routing problem and its pick-up and delivery extension. Transportation Research Part B: Methodological, 71, 158-181. https://doi.org/10.1016/j.trb.2014.11.004
Zhang, Y., & Chen, X. D. (2014). An Optimization Model for the Vehicle Routing Problem in Multi-product Frozen Food Delivery. Journal of applied research and technology, 12(2), 239-250.
Zhang, W., Chen, Z., Zhang, S., Wang, W., Yang, S., & Cai, Y. (2020). Production, 274, 122593. | ||
|
آمار تعداد مشاهده مقاله: 756 تعداد دریافت فایل اصل مقاله: 783 |
||