Multi-objective robust optimisation model for MDVRPLS in refined oil distribution

References

• Adelzadeh, Mehdi, Vahid Mahdavi Asl, and Mehdi Koosha. 2014. “A Mathematical Model and a Solving Procedure for Multi-depot Vehicle Routing Problem with Fuzzy Time Window and Heterogeneous Vehicle.” International Journal of Advanced Manufacturing Technology 75 (5-8): 793–802.
   Web of Science ®Google Scholar
• Bahri, Oumayma, Nahla Ben Amor, and El-Ghazali Talbi. 2016. “Robust Routes for the Fuzzy Multi-Objective Vehicle Routing Problem.” IFAC-PapersOnLine 49 (12): 769–774.
   Google Scholar
• Ben-Ammar, Oussama, Belgacem Bettayeb, and Alexandre Dolgui. 2019. “Optimization of Multi-period Supply Planning Under Stochastic Lead Times and a Dynamic Demand.” International Journal of Production Economics 218: 106–117.
   Web of Science ®Google Scholar
• Ben-Tal, Aharon, Laurent El Ghaoui, and Arkadi Nemirovski. 2009. “Robust Optimization.” Princeton University Press Princeton Nj 2 (3): xxii+542.
   Google Scholar
• Bertsimas, Dimitris, and Melvyn Sim. 2004. “The Price of Robustness.” Operations Research 52 (1): 35–53.
   Web of Science ®Google Scholar
• Bian, Junsong, Yi Liao, Yao Yu Wang, and Feng Tao. 2021. “Analysis of Firm CSR Strategies.” European Journal of Operational Research 290 (3): 914–926.
   Web of Science ®Google Scholar
• Bo, L. I., and Hongyan Qiu. 2014. “Two-stage Fuzzy Clustering Genetic Algorithm for Multiple-Depot Vehicle Routing Problem.” Computer Engineering & Applications 50 (05): 261–264+270.
   Google Scholar
• Brown, Gerald G., and Glenn W. Graves. 1979. “Real-Time Dispatch of Petroleum Tank Trucks.” Management Science 27 (1): 19–32.
   Web of Science ®Google Scholar
• Chakrabortty, Ripon K., Ruhul A. Sarker, and Daryl L. Essam. 2016. “Multi-Mode Resource Constrained Project Scheduling Under Resource Disruptions.” Computers & Chemical Engineering 88: 13–29.
   Web of Science ®Google Scholar
• Chan, Felix T. S., P. Shekhar, and M. K. Tiwari. 2014. “Dynamic Scheduling of Oil Tankers with Splitting of Cargo at Pickup and Delivery Locations: A Multi-Objective Ant Colony-Based Approach.” International Journal of Production Research 52 (24): 7436–7453.
   Web of Science ®Google Scholar
• Coello, C. A. Coello, and M. S. Lechuga. 2002. “MOPSO: A Proposal for Multiple Objective Particle Swarm Optimization.” In Wcci, Vol. 2, 1051–1056.
   Google Scholar
• Cornillier, Fabien, Fayez F. Boctor, Gilbert Laporte, and Jacques Renaud. 2008. “A Heuristic for the Multi-Period Petrol Station Replenishment Problem.” European Journal of Operational Research 191 (2): 295–305.
   Web of Science ®Google Scholar
• Cornillier, Fabien, Gilbert Laporte, Fayez F. Boctor, and Jacques Renaud. 2009. “The Petrol Station Replenishment Problem with Time Windows.” Computers & Operations Research 36 (3): 919–935.
   Web of Science ®Google Scholar
• Dan, A. Iancu, and Nikolaos Trichakis. 2014. “Pareto Efficiency in Robust Optimization.” Management Science 60 (1): 130–147.
   Web of Science ®Google Scholar
• Dolgui, Alexandre, and Caroline Prodhon. 2007. “Supply Planning Under Uncertainties in MRP Environments: A State of the Art.” Annual Reviews in Control 31: 269–279.
   Web of Science ®Google Scholar
• Dolgui, Alexandre, and Jean-Marie Proth. 2010. “Supply Chain Engineering: Useful Methods and Techniques.”
   Google Scholar
• Dridi, Imen Harbaoui, Essia Ben Alaïa, Pierre Borne, and Hanen Bouchriha. 2020. “Optimisation of the Multi-Depots Pick-Up and Delivery Problems with Time Windows and Multi-Vehicles Using PSO Algorithm.” International Journal of Production Research 58 (14): 4201–4214.
   Web of Science ®Google Scholar
• Escobar, John Willmer, Rodrigo Linfati, Paolo Toth, and Maria G. Baldoquin. 2014. “A Hybrid Granular Tabu Search Algorithm for the Multi-Depot Vehicle Routing Problem.” Journal of Heuristics 20 (5): 483–509.
   Web of Science ®Google Scholar
• Ghoddousi, Parviz, Ehsan Eshtehardian, Shirin Jooybanpour, and Ashtad Javanmardi. 2013. “Multi-Mode Resource-constrained Discrete Time-Cost-Resource Optimization in Project Scheduling Using Non-Dominated Sorting Genetic Algorithm.” Automation in Construction 30 (30): 216–227.
   Web of Science ®Google Scholar
• Gromov, Vasilii A., Konstantin A. Kuznietzov, and Timothy Pigden. 2019. “Decision Support System for Light Petroleum Products Supply Chain.” Operational Research 19 (1): 219–236.
   Web of Science ®Google Scholar
• Guo, Yi-Nan, Jian Cheng, Sha Luo, Dunwei Gong, and Yu Xue. 2018. “Robust Dynamic Multi-Objective Vehicle Routing Optimization Method.” IEEE/ACM Transactions on Computational Biology and Bioinformatics 15 (6): 1891–1903.
   PubMed Web of Science ®Google Scholar
• Guyonnet, Pierre, F. Hank Grant, and Miguel J. Bagajewicz. 2009. “Integrated Model for Refinery Planning, Oil Procuring, and Product Distribution.” Ind.eng.chem.res 48 (1): 463–482.
   Web of Science ®Google Scholar
• Hazir, Oncu, and Alexandre Dolgui. 2019. “A Review on Robust Assembly Line Balancing Approaches.” IFAC-PapersOnLine 52: 987–991.
   Google Scholar
• Hu, Hao, Jian Li, and Xiang Li. 2018. “A Credibilistic Goal Programming Model for Inventory Routing Problem with Hazardous Materials.” Soft Computing 22 (17): 5803–5816.
   Web of Science ®Google Scholar
• Hu, Hao, Xiang Li, Yuanyuan Zhang, Changjing Shang, and Sicheng Zhang. 2018. “Multi-Objective Location-Routing Model for Hazardous Material Logistics with Traffic Restriction Constraint in Inter-City Roads.” Computers & Industrial Engineering 128: 861–876.
   Web of Science ®Google Scholar
• Hu, Zhi Hua, Jiuh-Biing Sheu, Lei Zhao, and Chung-Cheng Lu. 2015. “A Dynamic Closed-Loop Vehicle Routing Problem with Uncertainty and Incompatible Goods.” Transportation Research Part C: Emerging Technologies 55: 273–297.
   Web of Science ®Google Scholar
• Jabali, O., T. Van Woensel, and A. G. De Kok. 2012. “Analysis of Travel Times and CO2 Emissions in Time-Dependent Vehicle Routing.” Production & Operations Management 21 (6): 1060–1074.
   Web of Science ®Google Scholar
• Jafari-Eskandari, M, S. G. H Jalali-Naiini, A. R. Aliahmadi, and S. J. Sadjadi. 2010. “A Robust Optimization Approach for the Milk Run Problem with Time Windows under Inventory Uncertainty – An Auto Industry Supply Chain Case Study.” In Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management, 1–7.
   Google Scholar
• Jemai, Jaber, Manel Zekri, and Khaled Mellouli. 2012. “An NSGA-II Algorithm for the Green Vehicle Routing Problem.” In European Conference on Evolutionary Computation in Combinatorial Optimization. Berlin: Springer.
   Google Scholar
• Jia, S. J., J. Yi, G. K. Yang, B. Du, and J. Zhu. 2013. “A Multi-Objective Optimisation Algorithm for the Hot Rolling Batch Scheduling Problem.” International Journal of Production Research 51 (3): 667–681.
   Web of Science ®Google Scholar
• Kachitvichyanukul, Voratas, Pandhapon Sombuntham, and Siwaporn Kunnapapdeelert. 2015. “Two Solution Representations for Solving Multi-Depot Vehicle Routing Problem with Multiple Pickup and Delivery Requests Via PSO.” Computers & Industrial Engineering 89 (C): S0360835215001606.
   Google Scholar
• Lahyani, Rahma, Anne-Lise Gouguenheim, and Leandro C. Coelho. 2019. “A Hybrid Adaptive Large Neighbourhood Search for Multi-Depot Open Vehicle Routing Problems.” International Journal of Production Research 57 (22): 6963–6976.
   Web of Science ®Google Scholar
• Li, B., L. Wang, and B. Liu. 2008. “An Effective PSO-Based Hybrid Algorithm for Multi-Objective Permutation Flow Shop Scheduling.” IEEE Transactions on Systems, Man, and Cybernetics -- Part A: Systems and Humans 38 (4): 818–831.
   Web of Science ®Google Scholar
• Liu, Jie, and Voratas Kachitvichyanukul. 2015. “A Pareto-Based Particle Swarm Optimization Algorithm for Multi-Objective Location Routing Problem.” International Journal of Industrial Engineering 22 (3): 314–329.
   Google Scholar
• Liu, Zhi, Kevin W. Li, Bang-Yi Li, Jun Huang, and Juan Tang. 2019. “Impact of Product-Design Strategies on the Operations of a Closed-Loop Supply Chain.” Transportation Research Part E: Logistics and Transportation Review 124: 75–91.
   Web of Science ®Google Scholar
• Luo, Jianping, and Min Rong Chen. 2014. “Multi-Phase Modified Shuffled Frog Leaping Algorithm with Extremal Optimization for the MDVRP and the MDVRPTW.” Computers & Industrial Engineering72 (1): 84–97.
   Web of Science ®Google Scholar
• Ma, Hongguang, Xiaoyu Guan, and Liang Wang. 2020. “A Single-Facility Competitive Location Problem in the Plane Based on Customer Choice Rules.” Journal of Data, Information and Management 2 (4): 323–336.
   Google Scholar
• Men, Jinkun, Peng Jiang, Huan Xu, Song Zheng, Yaguang Kong, Pingzhi Hou, and Feng Wu. 2020. “Robust Multi-Objective Vehicle Routing Problem with Time Windows for Hazardous Materials Transportation.” IET Intelligent Transport Systems 14 (3): 154–163.
   Web of Science ®Google Scholar
• Mulvey, John M., Robert J. Vanderbei, and Stavros A. Zenios. 1995. “Robust Optimization of Large-Scale Systems.” Operations Research 43 (2): 264–281.
   Web of Science ®Google Scholar
• Olivera, Alfredo, and Omar Viera. 2007. “Adaptive Memory Programming for the Vehicle Routing Problem with Multiple Trips.” Computers & Operations Research 34 (1): 28–47.
   Web of Science ®Google Scholar
• Padhye, N., J. Branke, and S. Mostaghim. 2009. “Empirical Comparison of MOPSO Methods -- Guide Selection and Diversity Preservation.” In Eleventh Conference on Congress on Evolutionary Computation, 2516–2523.
   Google Scholar
• Piotr, Czyzżak, and Adrezej Jaszkiewicz. 1998. “Pareto Simulated Annealing – A Metaheuristic Technique for Multiple-objective Combinatorial Optimization.” Journal of Multi Criteria Decision Analysis 7 (1): 34–37.
   Google Scholar
• Rabbani, Masoud, Mahyar Taheri, and Mohammad Ravanbakhsh. 2016. “A Bi-Objective Vehicle Routing Problem with Time Window by Considering Customer Satisfaction.” International Journal of Strategic Decision Sciences 7 (2): 16–39.
   Google Scholar
• Samanlioglu, Funda. 2013. “A Multi-Objective Mathematical Model for the Industrial Hazardous Waste Location-Routing Problem.” European Journal of Operational Research 226 (2): 332–340.
   Web of Science ®Google Scholar
• Sear, T. N. 1993. “Logistics Planning in the Downstream Oil Industry.” Journal of the Operational Research Society 44 (1): 9–17.
   Web of Science ®Google Scholar
• Shen, Chun Hao, Rui Miao, Min Ge, and Zhi Bin Jiang. 2012. “Research of Oil Product Secondary Distribution Optimization Based on Particular Service Level.” Advanced Materials Research 524–527: 1856–1860.
   Google Scholar
• Souza, Thatiana C. N. De, Elizabeth Ferreira Gouvea Goldbarg, and Marco César Goldbarg. 2009. “The Bi-Objective Problem of Distribution of Oil Products by Pipeline Networks Approached by a Particle Swarm Optimization Algorithm.” In Ninth International Conference on Intelligent Systems Design and Applications, ISDA 2009, Pisa, Italy, November 30–December 2.
   Google Scholar
• Sumichras, Robert T., and Ina S. Markham. 1995. “A Heuristic and Lower Bound for a Multi-Depot Routing Problem.” Computers and Operations Research 22 (10): 1047–1056.
   Web of Science ®Google Scholar
• Tan, K. C., C. K. Goh, Y. J. Yang, and T. H. Lee. 2006. “Evolving Better Population Distribution and Exploration in Evolutionary Multi-Objective Optimization.” European Journal of Operational Research171 (2): 463–495.
   Web of Science ®Google Scholar
• Tian, Jing, Xinchang Hao, and Mitsuo Gen. 2019. “A Hybrid Multi-Objective EDA for Robust Resource Constraint Project Scheduling with Uncertainty.” Computers & Industrial Engineering 130: 317–326.
   Web of Science ®Google Scholar
• Tong, Zi-qiang, and Peng-xiang Li. 2019. “Vehicle Routing Problem of Refined Oil Distribution Considering Real-Time Traffic Condition and Vehicle Turnover Rate.” Industrial Engineering and Management 24 (2): 109–115.
   Google Scholar
• Ulungu, E. L., J. Teghem, and Ch Ost. 1998. “Efficiency of Interactive Multi-Objective Simulated Annealing Through a Case Study.” Journal of the Operational Research Society 49 (10): 1044–1050.
   Web of Science ®Google Scholar
• Validi, Sahar, Arijit Bhattacharya, and P. J. Byrne. 2014. “Integrated Low-Carbon Distribution System for the Demand Side of a Product Distribution Supply Chain: A DoE-Guided MOPSO Optimiser-Based Solution Approach.” International Journal of Production Research 52 (10): 3074–3096.
   Web of Science ®Google Scholar
• Veldhuizen, David A. Van. 1999. “Multi-Objective Evolutionary Algorithms: Classifications, Analyses, and New Innovations.”
   Google Scholar
• Wang, Tiejun. 2013. “Study on Multi-Depots Vehicle Routing Problem Based on Improved Particle Swarm Optimization.” Computer Engineering & Applications 49 (2): 5–8.
   Google Scholar
• Wu, Jei-Zheng, Chen-Fu Chien, and Mitsuo Gen. 2012. “Coordinating Strategic Outsourcing Decisions for Semiconductor Assembly Using a Bi-Objective Genetic Algorithm.” International Journal of Production Research 50 (1): 235–260.
   Web of Science ®Google Scholar
• Xu, Xiaofeng, Jun Hao, Lean Yu, and Yirui Deng. 2018. “Fuzzy Optimal Allocation Model for Task-Resource Assignment Problem in Collaborative Logistics Network.” IEEE Transactions on Fuzzy Systems 27 (5): 1112–1125.
   Web of Science ®Google Scholar
• Xu, Xiaofeng, Jun Hao, and Yao Zheng. 2020. “Multi-Objective Artificial Bee Colony Algorithm for Multi-Stage Resource Leveling Problem in Sharing Logistics Network.” Computers & Industrial Engineering 142: 106338.
   Web of Science ®Google Scholar
• Xu, Xiaofeng, Ziru Lin, and Jing Zhu. 2020. “DVRP with Limited Supply and Variable Neighborhood Region in Refined Oil Distribution.” Annals of Operations Research. doi:10.1007/s10479-020-03780-9.
   Web of Science ®Google Scholar
• Xu, Xiaofeng, Zhang Wei, Li Ning, and Huiling Xu. 2015. “A Bi-Level Programming Model of Resource Matching for Collaborative Logistics Network in Supply Uncertainty Environment.” Journal of the Franklin Institute 352 (9): 3873–3884.
   Web of Science ®Google Scholar
• Xu, D., and R. Xiao. 2015. “An Improved Genetic Clustering Algorithm for the Multi-Depot Vehicle Routing Problem.” International Journal of Wireless & Mobile Computing 9 (1): 1–7.
   Google Scholar
• Yang, Ming, Yankui Liu, and Guoqing Yang. 2020. “Robust Optimization for a Multiple-Priority Emergency Evacuation Problem Under Demand Uncertainty.” Journal of Data, Information and Management 2 (4): 185–199.
   Google Scholar
• Yang, Ying-qing, and Jiu-ping Xu. 2008. “A Class of Multiobjective Vehicle Routing Optimal Model Under Fuzzy Random Environment and Its Application.” World Journal of Modelling and Simulation4 (2): 112–119.
   Google Scholar
• Zhu, Min Jie, Jian Wei Zhang, and Sheng Hua Bao. 2011. “Research on Product Oil Distribution Logistics Vehicle Configuration.” Applied Mechanics & Materials 71–78: 407–410.
   Google Scholar