Port-related Supply Chain Management for Refinery/Chemical /Petrochemical/Oil and Gas Industries under Uncertainties
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.
Select Refenrences
- 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.