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​​The port-related supply chain management (PSCM) for refineries/chemical/ petrochemical industries covers crude/raw material purchasing, vessel shipping, unloading and storage in ports, inland transportation, blending and discharging, plant manufacturing, and product marketing. The optimization of PSCM is very important for those industries’ profitability and port management business. Because of the increasing global competition, more volatile crude/chemical market, and stricter environmental regulation, the optimality and robustness of PSCM solutions under uncertainties need to be sufficiently studied. In this research area, we have developed a series of robust or reactive PSCM methodology for short-term and middle-term planning and scheduling crude/raw material logistic ranging from purchasing, transportation, manufacturing, to final marketing. The developments focus on synergies of port and industrial supply-chain management to minimize the PSCM cost and operating risk. They can handle various uncertainties such as shipping delay, product demand change, and storage/charging tank unavailability as well.

Selected References

• Yu, L., Wang, S. J., Xu, Q.*, “Optimal Scheduling for Simultaneous Refinery Manufacturing and Multi Oil-product Pipeline Distribution”, Computers & Chemical Engineering, 157, 107613, 2022.
• Wang, X. C., Wang, S. J., Xu, Q.*, “Simultaneous Production and Maintenance Scheduling for Refinery Front-end Process with Considerations of Risk Management and Resource Availability”, Industrial & Engineering Chemistry Research, accepted, https://doi.org/10.1021/acs.iecr.1c03863, 2022.
• Yu, L., Chen, M., Xu, Q.*, “Simultaneous Scheduling of Multi-product Pipeline Distribution and Depot Inventory Management for Petroleum Refineries”, Chemical Engineering Science, 220, 115618-115632, 2020.
• Qu, H. L., Wang, S. J., Xu, Q.*, “Integrated Proactive and Reactive Scheduling for Refinery Front-end Crude Movement with Consideration of Unit Maintenance”, Industrial & Engineering Chemistry Research, 58, 12192-12206, 2019.
• Qu, H. L., Xu, J. L., Wang, S. J., Xu, Q.*, “A Novel MINLP Model of Front-end Crude Scheduling for Refinery with Consideration of Inherent Upset Minimization”, Computers & Chemical Engineering, 117, 42-46, 2018.
• Qu, H. L., Xu, J. L., Wang, S. J., Xu, Q.*, “Optimal Front-end Crude Scheduling for Refineries under Consideration of Inherent Upset Reduction”, Computer Aided Chemical Engineering, 44, 1315-1320, 2018.
• Xu, J. L., Qu, H. L., Zhang, J., Wang, S. J., Xu, Q.*, “Emission Conscious Scheduling of Crude Unloading, Transferring, and Processing for Petroleum Refineries”, Computer Aided Chemical Engineering, 44, 1219-1224, 2018.
• Xu, J. L., Qu, Honglin, Wang, S. J., Xu, Q.*, “A New Proactive Scheduling Methodology for Front-end Crude Oil and Refinery Operations under Uncertainty of Shipping Delay”, Industrial & Engineering Chemistry Research, 56(28), 8041-8053, 2017.
• Xu, J. L., Zhang, S. J., Zhang J. Wang, S. J., Xu, Q.*, “Simultaneous Scheduling of Front End Crude Transfer and Refinery Processing”, Computers & Chemical Engineering, 96, 212-236, 2017.
• Zhang, S. J., Xu, Q.*, “A New Reactive Scheduling Approach for Short-term Crude Oil Operations under Tank Malfunction”, Industrial & Engineering Chemistry Research, 54 (49), 12438-12454 2015.
• Zhang, S. J., Xu, Q.*, “Refinery Short-term Crude Scheduling with Consideration of Long-distance Pipeline Transportation”, Computers & Chemical Engineering, 75, 74-94, 2015.
• Zhang, S. J., Xu, Q.* “Reactive Scheduling of Short-Term Crude Oil Operations under Uncertainties”, Industrial & Engineering Chemistry Research, 53 (31), 12502–12518, 2014.
• Zhang, J., Wen, Y. Q., Xu, Q.*, “Simultaneous Optimization of Crude Oil Blending and Purchase Planning with Delivery Uncertainty Consideration”, Industrial & Engineering Chemistry Research, 51 (25), 8453-8464, 2012.