پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 161 |
| تعداد شمارهها | 6,532 |
| تعداد مقالات | 70,501 |
| تعداد مشاهده مقاله | 124,101,225 |
| تعداد دریافت فایل اصل مقاله | 97,207,968 |
Smart multi-commodity location-routing model for perishable goods with an emphasis on big data under uncertainty and congestion | ||
| Interdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies) | ||
| دوره 17، شماره 2، تیر 2024، صفحه 653-668 اصل مقاله (1.06 M) | ||
| نوع مقاله: SI: DBBD-2023 | ||
| شناسه دیجیتال (DOI): 10.22059/ijms.2023.359254.675865 | ||
| نویسندگان | ||
| Sina Rashvand Falari1؛ Kimars Fathi Hafshjani* 2؛ Mohammad Ali Afshar Kazemi3 | ||
| 1Department of Industrial Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| 2Department of Industrial Management, Faculty of Management, South Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| 3Department of Industrial Management, Faculty of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| چکیده | ||
| In recent decades, the integrated optimization approach of information-based logistics systems has been one of the most important aspects of optimization in supply chain management. This approach deals with the simultaneous investigation of dependencies between facility location, allocation of suppliers/customers to facilities, the structure of transportation routes, planning, and inventory control. One of the most critical issues related to logistics is location routing. Therefore, in this research, a multi-objective mathematical model for locating and routing multiple perishable goods is presented, considering the objectives of minimizing logistics costs and transportation costs, minimizing product distribution time among customers, and maximizing customer service. Among the most critical limitations considered are the capacities of suppliers, vehicles, and producers and the soft time window of product distribution. Due to the uncertainty in the number of customers' orders for product delivery in the supply chain and the large volume of big data, the queue model based on M/M/C/K was introduced in the fuzzy conditions of customer demand. Finally, the mathematical model was optimized and analyzed with MOSA and MOKA. The analysis results of two meta-heuristic algorithms in the studied problem showed that the MOSA has better efficiency. | ||
| کلیدواژهها | ||
| Smart Location-Routing؛ Perishable Goods؛ Queuing Theory؛ Meta-Heuristic Algorithm؛ Big Data Analysis | ||
| مراجع | ||
|
Alamatsaz, K., Ahmadi, A., & Mirzapour Al-e-hashem, S. M. J. (2022). A multiobjective model for the green capacitated location-routing problem considering drivers’ satisfaction and time window with uncertain demand. Environmental Science and Pollution Research, 29(4), 5052-5071.
Aliahmadi, A., Ghahremani-Nahr, J., & Nozari, H. (2023). Pricing decisions in the closed-loop supply chain network, taking into account the queuing system in production centers. Expert Systems with Applications, 212, 118741.
Basso, R., Kulcsár, B., & Sanchez-Diaz, I. (2021). Electric vehicle routing problem with machine learning for energy prediction. Transportation Research Part B: Methodological, 145, 24-55.
Biuki, M., Kazemi, A., & Alinezhad, A. (2020). An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network. Journal of Cleaner Production, 120842.
Chen, Y., Zhao, Q., Wang, W., & Zhang, S. (2023). Mixed multi-echelon location routing problem with differentiated intermediate depots. Computers & Industrial Engineering, 177, 109026.
Chernonog, T. (2020). Inventory and marketing policy in a supply chain of a perishable product. International Journal of Production Economics, 219, 259-274.
Ghahremani-Nahr, J., Ghaderi, A., & Kian, R. (2022). Bi-objective Fuzzy Food Bank Network Design with Considering Freshness of Food Baskets. Journal of Applied Research on Industrial Engineering.
Ghahremani-Nahr, J., Ghaderi, A., & Kian, R. (2023). A food bank network design examining food nutritional value and freshness: A multi objective robust fuzzy model. Expert Systems with Applications, 215, 119272.
Ghahremani-Nahr, J., Nozari, H., & Aliahmadi, A. (2023). Contract Design for Return Products in a Cooperative Closed-Loop Supply Chain. Global Business Review, 09721509221148892.
Ghasemkhani, A., Tavakkoli-Moghaddam, R., Rahimi, Y., Shahnejat-Bushehri, S., & Tavakkoli-Moghaddam, H. (2022). Integrated production-inventory-routing problem for multi-perishable products under uncertainty by meta-heuristic algorithms. International Journal of Production Research, 60(9), 2766-2786.
Gómez, M., & Martinez, M. M. (2023). Redistribution of surplus bread particles into the food supply chain. LWT, 173, 114281.
Govindan, K., Shaw, M., & Majumdar, A. (2021). Social sustainability tensions in multi-tier supply chain: A systematic literature review towards conceptual framework development. Journal of Cleaner Production, 279, 123075.
Haghi, M., Arslan, O., & Laporte, G. (2023). A location-or-routing problem with partial and decaying coverage. Computers & Operations Research, 149, 106041.
Jouzdani, J., & Govindan, K. (2020). On the sustainable perishable food supply chain network design: A dairy products case to achieve sustainable development goals. Journal of Cleaner Production, 123060.
Khan, S., Kaushik, M. K., Kumar, R., & Khan, W. (2023). Investigating the barriers of blockchain technology integrated food supply chain: a BWM approach. Benchmarking: An International Journal, 30(3), 713-735.
Kumar, M., Raut, R. D., Jagtap, S., & Choubey, V. K. (2023). Circular economy adoption challenges in the food supply chain for sustainable development. Business Strategy and the Environment, 32(4), 1334-1356.
Liu, M., Liu, X., Chu, F., Zheng, F., & Chu, C. (2019). Distributionally inventory routing problem to maximize the service level under limited budget. Transportation Research Part E: Logistics and Transportation Review, 126, 190-211.
Maghfiroh, M. F. N., Yu, V. F., Redi, A. A. N. P., & Abdallah, B. N. (2023). A Location Routing Problem with Time Windows Consideration: A Metaheuristics Approach. Applied Sciences, 13(2), 843.
Meidute-Kavaliauskiene, I., Yıldırım, F., Ghorbani, S., & Činčikaitė, R. (2022). The design of a multi-period and multi-echelon perishable goods supply network under uncertainty. Sustainability, 14(4), 2472.
Mohamed, I. B., Klibi, W., Sadykov, R., Şen, H., & Vanderbeck, F. (2023). The two-echelon stochastic multi-period capacitated location-routing problem. European Journal of Operational Research, 306(2), 645-667.
Mohebalizadehgashti, F., Zolfagharinia, H., & Amin, S. H. (2020). Designing a green meat supply chain network: A multi-objective approach. International Journal of Production Economics, 219, 312-327.
Oscar F. Carrasco Heine, Antonia Demleitner, Jannik Matuschke (2023) Bifactor approximation for location routing with vehicle and facility capacities. European Journal of Operational Research,Volume 304, Issue 2, 2023, Pages 429-442.
Partovi, F., Seifbarghy, M., & Esmaeili, M. (2023). Revised solution technique for a bi-level location-inventory-routing problem under uncertainty of demand and perishability of products. Applied Soft Computing, 133, 109899.
Rafie-Majd, Z., Pasandideh, S. H. R., & Naderi, B. (2018). Modelling and solving the integrated inventory-location-routing problem in a multi-period and multi-perishable product supply chain with uncertainty: Lagrangian relaxation algorithm. Computers & chemical engineering, 109, 9-22.
Rahbari, M., Razavi Hajiagha, S. H., Amoozad Mahdiraji, H., Riahi Dorcheh, F., & Garza-Reyes, J. A. (2022). A novel location-inventory-routing problem in a two-stage red meat supply chain with logistic decisions: evidence from an emerging economy. Kybernetes, 51(4), 1498-1531.
Rohmer, S. U. K., Claassen, G. D. H., & Laporte, G. (2019). A two-echelon inventory routing problem for perishable products. Computers & Operations Research, 107, 156-172.
Sahebjamnia, N., Fathollahi-Fard, A. M., & Hajiaghaei-Keshteli, M. (2018). Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks. Journal of cleaner production, 196, 273-296.
Saif-Eddine, A. S., El-Beheiry, M. M., & El-Kharbotly, A. K. (2019). An improved genetic algorithm for optimizing total supply chain cost in inventory location routing problem. Ain Shams Engineering Journal, 10(1), 63-76.
Schneider, M. (2017). Wasting the rural: Meat, manure, and the politics of agro-industrialization in contemporary China. Geoforum, 78, 89-97.
Tavakkoli-Moghaddam, R., Ghahremani-Nahr, J., Samadi Parviznejad, P., Nozari, H., & Najafi, E. (2022). Application of internet of things in the food supply chain: a literature review. Journal of applied research on industrial engineering, 9(4), 475-492.
Wang, H., & Lim, M. K. (2018). Two stage heuristic algorithm for logistics network optimization of integrated location-routing-inventory. In Recent Advances in Intelligent Manufacturing: First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Chongqing, China, September 21-23, 2018, Proceedings, Part I 5 (pp. 209-217). Springer Singapore.
Wu, D., Ji, X., Xiao, F., & Sheng, S. (2022). A location inventory routing optimisation model and algorithm for a remote island shipping network considering emergency inventory. Sustainability, 14(10), 5859.
Yavari, M., Enjavi, H., & Geraeli, M. (2020). Demand management to cope with routes disruptions in location-inventory-routing problem for perishable products. Research in Transportation Business & Management, 37, 100552.
Zheng, X., Yin, M., & Zhang, Y. (2019). Integrated optimization of location, inventory and routing in supply chain network design. Transportation Research Part B: Methodological, 121, 1-20. | ||
|
آمار تعداد مشاهده مقاله: 380 تعداد دریافت فایل اصل مقاله: 495 |
||