区域成品油优化配置研究进展
|
摘要
区域成品油合理配置直接影响成品油供给链物流系统构建和成品油市场的发展,但中国区域成品油优化配置问题尚未形成较为完善的理论体系和优化方法。通过调研国内外资源配置问题的相关研究成果,分析了区域资源优化配置问题研究现状,基于中国大区域成品油供给系统,从成品油供给链、运输方式、库存管理以及不确定因素分析等角度出发,从问题实质、解决思路、优化模型及求解方法等方面梳理了区域成品油优化配置问题的研究重点、难点及进展。最终结合工程实际需求,提出了区域成品油优化配置问题的研究难点与发展趋势。
Reasonable allocation of regional refined oil has the direct effect on the construction of logistics system for refined oil supply chain and the development of refined oil market. In China, however, the theoretical system and method on the allocation optimization of regional refined oil have not yet formed. In this paper, the research achievements on the resource allocation at home and abroad were investigated, and the research status on the allocation optimization of regional resources was analyzed. Then, from the viewpoints of refined oil supply chain, transportation mode, inventory management and uncertainty analysis, the research emphasis, difficulties and progress on the allocation optimization of regional refined oil were dissected from the aspects of problem essence, solution idea, optimization model and solution method based on Chinese large regional supply system of refined oil. Finally, the difficulties and development direction of the researches on the allocation optimization of regional refined oil were pointed out on the basis of actual engineering demand.
Reasonable allocation of regional refined oil has the direct effect on the construction of logistics system for refined oil supply chain and the development of refined oil market. In China, however, the theoretical system and method on the allocation optimization of regional refined oil have not yet formed. In this paper, the research achievements on the resource allocation at home and abroad were investigated, and the research status on the allocation optimization of regional resources was analyzed. Then, from the viewpoints of refined oil supply chain, transportation mode, inventory management and uncertainty analysis, the research emphasis, difficulties and progress on the allocation optimization of regional refined oil were dissected from the aspects of problem essence, solution idea, optimization model and solution method based on Chinese large regional supply system of refined oil. Finally, the difficulties and development direction of the researches on the allocation optimization of regional refined oil were pointed out on the basis of actual engineering demand.
引文
[1]BP Group.BP statistical review of world energy 2017[EB/OL].(2017-06)[2018-04-13].https://www.bp.com/content/dam/bp-country/de_ch/PDF/bp-statistical-review-of-world-energy-2017-full-report.pdf?tdsourcetag=s_pcqq_aiomsg.
[2]安宇宏.帕累托改进与帕累托最优[J].宏观经济管理,2013(3):76.AN Y H.Pareto improvement and Pareto optimality[J].Macroeconomic Management,2013(3):76.
[3]LUC D T.Pareto optimality[J].Springer Optimization&Its Applications,2016,17(1):481-515.
[4]魏炜,竺笠,罗凤章,等.主动配电网区域能源优化配置双层规划方法[J].电力系统及其自动化学报,2016,28(5):97-102.WEI W,ZHU L,LUO F Z,et al.Bi-level programming method for active power distribution network based on integrated resource strategy planning[J].Proceedings of the CSU-EPSA,2016,28(5):97-102.
[5]赵小强,何智娥.基于改进混沌遗传算法的水资源优化调度[J].兰州理工大学学报,2015,41(4):65-70.ZHAO X Q,HE Z E.Optimized scheduling of water resource based on improved chaos genetic algorithm[J].Journal of Lanzhou University of Technology,2015,41(4):65-70.
[6]曾敏刚,华贲,尹清华,等.基于区域资源优化配置的多炼厂生产计划优化模型[J].石油炼制与化工,2002,33(9):52-55.ZENG M G,HUA B,YIN Q H,et al.A model for optimization of multi-refineries production planning based on limited crude oil resources[J].Petroleum Processing and Petrochemicals,2002,33(9):52-55.
[7]曾敏刚,尹清华,解新安,等.基于区域资源优化配置的多个炼油厂生产计划建模与优化[J].炼油技术与工程,2002,32(5):31-34.ZENG M G,YIN Q H,XIE X A,et al.Modeling and optimization of multi-refineries’production planning based on regional resources optimal disposition[J].Petroleum Refinery Engineering,2002,32(5):31-34.
[8]MáS R,PINTO J M.A mixed-integer optimization strategy for oil supply in distribution complexes[J].Optimization and Engineering,2003,4(1):23-64.
[9]WANG X,ZHAN H,ZHANG J.Research of oil product secondary distribution optimization based on collaborative distribution[J].Procedia Computer Science,2015,60:1367-1376.
[10]KAIN R,VERMA A.Logistics management in supply chain-An overview[J].Materials Today,2018,5(2):3811-3816.
[11]MENEZES B C,KELLY J D,GROSSMANN I E.Logistics optimization for dispositions and depooling of distillates in dilrefineries:Closing the production scheduling and distribution gap[J].Computer Aided Chemical Engineering,2018,43:1135-1140.
[12]陆争光,张劲军,高鹏.成品油一次物流优化研究进展[J].油气储运,2016,35(9):913-919,927.LU Z G,ZHANG J J,GAO P.Research progress of refined oil first logistics optimization[J].Oil&Gas Storage and Transportation,2016,35(9):913-919,927.
[13]宋杰鲲,张在旭,张宇.成品油配送路线优化问题[J].油气储运,2008,27(11):28-30.SONG J K,ZHANG Z X,ZHANG Y.Research on the optimization of distribution route of oil products[J].Oil&Gas Storage and Transportation,2008,27(11):28-30.
[14]刘琼,杨建华.成品油物流体系优化的系统动力学思考[J].中国管理信息化,2016,19(7):167-171.LIU Q,YANG J H.Thoughts on system dynamics of product oil logistics system optimization[J].China Management Informationization,2016,19(7):167-171.
[15]LIMA C,RELVAS S,BARBOSA-PóVOA A P F D.Downstream oil supply chain management:A critical review and future directions[J].Computers&Chemical Engineering,2016,92:78-92.
[16]GARDAS B B,RAUT R D,NARKHEDE B.Determinants of sustainable supply chain management:A case study from the oil and gas supply chain[J].Sustainable Production and Consumption,2018,17(2):41-53.
[17]孙靖,林杰.基于蚁群算法的大规模定制供应链调度优化研究[J].计算机应用,2006,26(11):2631-2634.SUN J,LIN J.Study of supply chain optimization scheduling in mass customization based on ant colony algorithm[J].Computer Applications,2006,26(11):2631-2634.
[18]陈红霞.中石化北京石油公司成品油物流配送优化策略探析[D].北京:北京化工大学,2008:21-60.CHEN H X.A research on optimization strategy of oil products distribution by Sinopec Beijing Oil Products Sales Company[D].Beijing:Beijing University of Chemical Technology,2008:21-60.
[19]宋杨.A公司成品油物流协同研究[D].北京:北京交通大学,2014:16-41.SONG Y.Research on the logistics collaboration of product oil in A company[D].Beijing:Beijing Jiaotong University,2014:16-41.
[20]NEIRO S M S,PINTO J M.A general modeling framework for the operational planning of petroleum supply chains[J].Computers&Chemical Engineering,2004,28(6):871-896.
[21]FERNANDES L J,RELVAS S,BARBOSA-PóVOA A P.Strategic network design of downstream petroleum supply chains:Single versus multi-entity participation[J].Chemical Engineering Research&Design,2013,91(8):1557-1587.
[22]MIRHASSANI S A,NOORI R.Implications of capacity expansion under uncertainty in oil industry[J].Journal of Petroleum Science&Engineering,2011,77(2):194-199.
[23]耿紫星,朱海龙,王大鹏.成品油运输优化模型的研究与应用[J].油气储运,2018,37(11):1248-1253.GENG Z X,ZHU H L,WANG D P.Research and application of products oil transportation optimization model[J].Oil&Gas Storage and Transportation,2018,37(11):1248-1253.
[24]廖绮,梁永图,张浩然,等.基于深度搜索法的成品油管道调度计划自动编制[J].油气储运,2017,36(12):1391-1400.LIAO Q,LIANG Y T,ZHANG H R,et al.An automatic scheduling method for product pipelines based on depth first search method[J].Oil&Gas Storage and Transportation,2017,36(12):1391-1400.
[25]梁永图,张浩然,邵奇.成品油管网调度优化研究进展[J].油气储运,2015,34(7):685-688.LIANG Y T,ZHANG H R,SHAO Q.Progress in the study on scheduling optimization of products pipeline network[J].Oil&Gas Storage and Transportation,2015,34(7):685-688.
[26]CAFARO D C,CERDá J.Optimal scheduling of multiproduct pipeline systems using a non-discrete MILPformulation[J].Computers&Chemical Engineering,2004,28(10):2053-2068.
[27]邵奇,闫亚敏,黄晓茵,等.国内外成品油管道调度研究进展[J].油气储运,2018,37(5):481-485.SHAO Q,YAN Y M,HUANG X Y,et al.Research progress on products pipeline scheduling at home and abroad[J].Oil&Gas Storage and Transportation,2018,37(5):481-485.
[28]ZHANG H R,LIANG Y T,LIAO Q,et al.A hybrid computational approach for detailed scheduling of products in a pipeline with multiple pump stations[J].Energy,2016,119:612-628.
[29]ZHANG H R,LIANG Y T,LIAO Q,et al.A self-learning approach for optimal detailed scheduling of multi-product pipeline[J].Journal of Computational&Applied Mathematics,2018,327:41-63.
[30]张博,赵慧英.考虑运输风险的成品油运输方式选择模型[J].油气储运,2015,34(11):1236-1240.ZHANG B,ZHAO H Y.Transportation mode selection model of refined oil products with consideration of transportation risks[J].Oil&Gas Storage and Transportation,2015,34(11):1236-1240.
[31]开妍霞.危险品储存和运输的风险管理与控制研究[D].南京:东南大学,2010:30-47.KAI Y X.Risk management and control of hazardous materials storage and transportation[D].Nanjing:Southeast University,2010:30-47.
[32]董鹏.多式联运之思考[J].交通与运输,2016,32(4):60-62.DONG P.Reflections on multimodal transport[J].Traffic&Transportation,2016,32(4):60-62.
[33]吴斌,陈佳华,李玉,等.物流领域的“JIT”--越库调度[J].油气储运,2018,37(2):143-149.WU B,CHEN J H,LI Y,et al.The“JIT”in the field of logistics:study on the cross-docking scheduling[J].Oil&Gas Storage and Transportation,2018,37(2):143-149.
[34]王亮,曹迪.成品油库存管理的优化策略[J].油气储运,2009,28(12):58-60.WANG L,CAO D.Optimization strategy for inventory management of oil products[J].Oil&Gas Storage and Transportation,2009,28(12):58-60.
[35]耿相海.GD石油公司成品油库存优化研究[D].广州:华南理工大学,2011:19-60.GENG X H.The study on oil inventory optimization of GDPetroleum Company[D].Guangzhou:South China University of Technology,2011:19-60.
[36]蔡志勇.中山市振扬石油有限公司油库库存管理系统的研究与分析[D].昆明:云南大学,2015:4-61.CAI Z Y.Research and analysis of oil storage inventory management system of Zhongshan Zhenyang Petroleum Company[D].Kunming:Yunnan University,2015:4-61.
[37]杨雯婷,黄坤,张勤勤.基于泰森多边形的油库配送区域优化[J].油气储运,2016,35(1):68-72.YANG W T,HUANG K,ZHANG Q Q.Optimization of tankfarm distribution region based on Thiessen-Polygon[J].Oil&Gas Storage and Transportation,2016,35(1):68-72.
[38]TERRAZASMORENO S,GROSSMANN I E,WASSICK J M.A mixed-integer linear programming model for optimizing the scheduling and assignment of tank farm operations[J].Ind Eng Chem Res,2012,51(18):6441-6454.
[39]BAUMGARTNER K,FUETTERER A,THONEMANNU W.Supply chain design considering economies of scale and transport frequencies[J].European Journal of Operational Research,2012,218(3):789-800.
[40]代宏砚,周伟华,陈志康.多级供应链中库存不准确性对牛鞭效应的影响[J].管理工程学报,2013,27(2):195-201.DAI H Y,ZHOU W H,CHEN Z K.The impacts of inventory inaccuracy on bullwhip effect in multi-stage supply chain[J].Journal of Industrial Engineering/Engineering Management,2013,27(2):195-201.
[41]TONG K,FENG Y,RONG G.Planning under demand and yield uncertainties in an oil supply chain[J].Industrial&Engineering Chemistry Research,2012,51(2):814-834.
[42]FERNANDES L J,RELVAS S,BARBOSA-PóVOA A P.Petroleum supply chain network design and tactical planning with demand uncertainty[M].Cham:Springer International Publishing,2015:59-66.
[43]OLIVEIRA F,GUPTA V,HAMACHER S,et al.A Lagrangean decomposition approach for oil supply chain investment planning under uncertainty with risk considerations[J].Computers&Chemical Engineering,2013,50:184-195.
[44]OLIVEIRA F,NUNES P,BLAJBERG R,et al.A framework for crude oil scheduling in an integrated terminal-refinery system under supply uncertainty[J].European Journal of Operational Research,2016,252(2):635-645.
[45]SIDDIQUI A W,VERMA M.A bi-objective approach to routing and scheduling maritime transportation of crude oil[J].Transportation Research Part D:Transport&Environment,2015,37:65-78
[46]吴亮红,王耀南,陈正龙.求解混合整数非线性规划问题的改进差分进化算法[J].小型微型计算机系统,2007,28(4):666-669.WU L H,WANG Y N,CHEN Z L.Modified differential evolution algorithm for mixed-integer nonlinear programming problems[J].Journal of Chinese Computer Systems,2007,28(4):666-669.
[47]HSU P Y,ANGELOUDIS P,AURISICCHIO M.Optimal logistics planning for modular construction using two-stage stochastic programming[J].Automation in Construction,2018,94:47-61.
[48]李长春.大数据背景下的商品需求预测与分仓规划[J].数学的实践与认识,2017,47(7):70-79.LI C C.Forecasting of commodities demand and warehouse planning under the background of big data[J].Mathematics in Practice and Theory,2017,47(7):70-79.
[49]BRUZDA J.Quantile smoothing in supply chain and logistics forecasting[J].International Journal of Production Economics,2019,208:122-139.
[50]林现喜,李银喜,周信,等.大数据环境下管道内检测数据管理[J].油气储运,2015,34(4):349-353.LIN X X,LI Y X,ZHOU X,et al.Management of inline inspection data of pipelines under the environment of big data[J].Oil&Gas Storage and Transportation,2015,34(4):349-353.
[51]董绍华,安宇.基于大数据的管道系统数据分析模型及应用[J].油气储运,2015,34(10):1027-1032.DONG S H,AN Y.Data analysis model for pipeline system and its application based on Big Data[J].Oil&Gas Storage and Transportation,2015,34(10):1027-1032.
[52]董绍华,张河苇.基于大数据的全生命周期智能管网解决方案[J].油气储运,2017,36(1):28-36.DONG S H,ZHANG H.Solution of full-life-cycle intelligent pipeline network based on big data[J].Oil&Gas Storage and Transportation,2017,36(1):28-36.
[53]周利剑,李振宇.管道完整性数据技术发展现状与展望[J].油气储运,2016,35(7):691-697.ZHOU L J,LI Z Y.The development status and prospect of pipeline integrity data technologies[J].Oil&Gas Storage and Transportation,2016,35(7):691-697.
[2]安宇宏.帕累托改进与帕累托最优[J].宏观经济管理,2013(3):76.AN Y H.Pareto improvement and Pareto optimality[J].Macroeconomic Management,2013(3):76.
[3]LUC D T.Pareto optimality[J].Springer Optimization&Its Applications,2016,17(1):481-515.
[4]魏炜,竺笠,罗凤章,等.主动配电网区域能源优化配置双层规划方法[J].电力系统及其自动化学报,2016,28(5):97-102.WEI W,ZHU L,LUO F Z,et al.Bi-level programming method for active power distribution network based on integrated resource strategy planning[J].Proceedings of the CSU-EPSA,2016,28(5):97-102.
[5]赵小强,何智娥.基于改进混沌遗传算法的水资源优化调度[J].兰州理工大学学报,2015,41(4):65-70.ZHAO X Q,HE Z E.Optimized scheduling of water resource based on improved chaos genetic algorithm[J].Journal of Lanzhou University of Technology,2015,41(4):65-70.
[6]曾敏刚,华贲,尹清华,等.基于区域资源优化配置的多炼厂生产计划优化模型[J].石油炼制与化工,2002,33(9):52-55.ZENG M G,HUA B,YIN Q H,et al.A model for optimization of multi-refineries production planning based on limited crude oil resources[J].Petroleum Processing and Petrochemicals,2002,33(9):52-55.
[7]曾敏刚,尹清华,解新安,等.基于区域资源优化配置的多个炼油厂生产计划建模与优化[J].炼油技术与工程,2002,32(5):31-34.ZENG M G,YIN Q H,XIE X A,et al.Modeling and optimization of multi-refineries’production planning based on regional resources optimal disposition[J].Petroleum Refinery Engineering,2002,32(5):31-34.
[8]MáS R,PINTO J M.A mixed-integer optimization strategy for oil supply in distribution complexes[J].Optimization and Engineering,2003,4(1):23-64.
[9]WANG X,ZHAN H,ZHANG J.Research of oil product secondary distribution optimization based on collaborative distribution[J].Procedia Computer Science,2015,60:1367-1376.
[10]KAIN R,VERMA A.Logistics management in supply chain-An overview[J].Materials Today,2018,5(2):3811-3816.
[11]MENEZES B C,KELLY J D,GROSSMANN I E.Logistics optimization for dispositions and depooling of distillates in dilrefineries:Closing the production scheduling and distribution gap[J].Computer Aided Chemical Engineering,2018,43:1135-1140.
[12]陆争光,张劲军,高鹏.成品油一次物流优化研究进展[J].油气储运,2016,35(9):913-919,927.LU Z G,ZHANG J J,GAO P.Research progress of refined oil first logistics optimization[J].Oil&Gas Storage and Transportation,2016,35(9):913-919,927.
[13]宋杰鲲,张在旭,张宇.成品油配送路线优化问题[J].油气储运,2008,27(11):28-30.SONG J K,ZHANG Z X,ZHANG Y.Research on the optimization of distribution route of oil products[J].Oil&Gas Storage and Transportation,2008,27(11):28-30.
[14]刘琼,杨建华.成品油物流体系优化的系统动力学思考[J].中国管理信息化,2016,19(7):167-171.LIU Q,YANG J H.Thoughts on system dynamics of product oil logistics system optimization[J].China Management Informationization,2016,19(7):167-171.
[15]LIMA C,RELVAS S,BARBOSA-PóVOA A P F D.Downstream oil supply chain management:A critical review and future directions[J].Computers&Chemical Engineering,2016,92:78-92.
[16]GARDAS B B,RAUT R D,NARKHEDE B.Determinants of sustainable supply chain management:A case study from the oil and gas supply chain[J].Sustainable Production and Consumption,2018,17(2):41-53.
[17]孙靖,林杰.基于蚁群算法的大规模定制供应链调度优化研究[J].计算机应用,2006,26(11):2631-2634.SUN J,LIN J.Study of supply chain optimization scheduling in mass customization based on ant colony algorithm[J].Computer Applications,2006,26(11):2631-2634.
[18]陈红霞.中石化北京石油公司成品油物流配送优化策略探析[D].北京:北京化工大学,2008:21-60.CHEN H X.A research on optimization strategy of oil products distribution by Sinopec Beijing Oil Products Sales Company[D].Beijing:Beijing University of Chemical Technology,2008:21-60.
[19]宋杨.A公司成品油物流协同研究[D].北京:北京交通大学,2014:16-41.SONG Y.Research on the logistics collaboration of product oil in A company[D].Beijing:Beijing Jiaotong University,2014:16-41.
[20]NEIRO S M S,PINTO J M.A general modeling framework for the operational planning of petroleum supply chains[J].Computers&Chemical Engineering,2004,28(6):871-896.
[21]FERNANDES L J,RELVAS S,BARBOSA-PóVOA A P.Strategic network design of downstream petroleum supply chains:Single versus multi-entity participation[J].Chemical Engineering Research&Design,2013,91(8):1557-1587.
[22]MIRHASSANI S A,NOORI R.Implications of capacity expansion under uncertainty in oil industry[J].Journal of Petroleum Science&Engineering,2011,77(2):194-199.
[23]耿紫星,朱海龙,王大鹏.成品油运输优化模型的研究与应用[J].油气储运,2018,37(11):1248-1253.GENG Z X,ZHU H L,WANG D P.Research and application of products oil transportation optimization model[J].Oil&Gas Storage and Transportation,2018,37(11):1248-1253.
[24]廖绮,梁永图,张浩然,等.基于深度搜索法的成品油管道调度计划自动编制[J].油气储运,2017,36(12):1391-1400.LIAO Q,LIANG Y T,ZHANG H R,et al.An automatic scheduling method for product pipelines based on depth first search method[J].Oil&Gas Storage and Transportation,2017,36(12):1391-1400.
[25]梁永图,张浩然,邵奇.成品油管网调度优化研究进展[J].油气储运,2015,34(7):685-688.LIANG Y T,ZHANG H R,SHAO Q.Progress in the study on scheduling optimization of products pipeline network[J].Oil&Gas Storage and Transportation,2015,34(7):685-688.
[26]CAFARO D C,CERDá J.Optimal scheduling of multiproduct pipeline systems using a non-discrete MILPformulation[J].Computers&Chemical Engineering,2004,28(10):2053-2068.
[27]邵奇,闫亚敏,黄晓茵,等.国内外成品油管道调度研究进展[J].油气储运,2018,37(5):481-485.SHAO Q,YAN Y M,HUANG X Y,et al.Research progress on products pipeline scheduling at home and abroad[J].Oil&Gas Storage and Transportation,2018,37(5):481-485.
[28]ZHANG H R,LIANG Y T,LIAO Q,et al.A hybrid computational approach for detailed scheduling of products in a pipeline with multiple pump stations[J].Energy,2016,119:612-628.
[29]ZHANG H R,LIANG Y T,LIAO Q,et al.A self-learning approach for optimal detailed scheduling of multi-product pipeline[J].Journal of Computational&Applied Mathematics,2018,327:41-63.
[30]张博,赵慧英.考虑运输风险的成品油运输方式选择模型[J].油气储运,2015,34(11):1236-1240.ZHANG B,ZHAO H Y.Transportation mode selection model of refined oil products with consideration of transportation risks[J].Oil&Gas Storage and Transportation,2015,34(11):1236-1240.
[31]开妍霞.危险品储存和运输的风险管理与控制研究[D].南京:东南大学,2010:30-47.KAI Y X.Risk management and control of hazardous materials storage and transportation[D].Nanjing:Southeast University,2010:30-47.
[32]董鹏.多式联运之思考[J].交通与运输,2016,32(4):60-62.DONG P.Reflections on multimodal transport[J].Traffic&Transportation,2016,32(4):60-62.
[33]吴斌,陈佳华,李玉,等.物流领域的“JIT”--越库调度[J].油气储运,2018,37(2):143-149.WU B,CHEN J H,LI Y,et al.The“JIT”in the field of logistics:study on the cross-docking scheduling[J].Oil&Gas Storage and Transportation,2018,37(2):143-149.
[34]王亮,曹迪.成品油库存管理的优化策略[J].油气储运,2009,28(12):58-60.WANG L,CAO D.Optimization strategy for inventory management of oil products[J].Oil&Gas Storage and Transportation,2009,28(12):58-60.
[35]耿相海.GD石油公司成品油库存优化研究[D].广州:华南理工大学,2011:19-60.GENG X H.The study on oil inventory optimization of GDPetroleum Company[D].Guangzhou:South China University of Technology,2011:19-60.
[36]蔡志勇.中山市振扬石油有限公司油库库存管理系统的研究与分析[D].昆明:云南大学,2015:4-61.CAI Z Y.Research and analysis of oil storage inventory management system of Zhongshan Zhenyang Petroleum Company[D].Kunming:Yunnan University,2015:4-61.
[37]杨雯婷,黄坤,张勤勤.基于泰森多边形的油库配送区域优化[J].油气储运,2016,35(1):68-72.YANG W T,HUANG K,ZHANG Q Q.Optimization of tankfarm distribution region based on Thiessen-Polygon[J].Oil&Gas Storage and Transportation,2016,35(1):68-72.
[38]TERRAZASMORENO S,GROSSMANN I E,WASSICK J M.A mixed-integer linear programming model for optimizing the scheduling and assignment of tank farm operations[J].Ind Eng Chem Res,2012,51(18):6441-6454.
[39]BAUMGARTNER K,FUETTERER A,THONEMANNU W.Supply chain design considering economies of scale and transport frequencies[J].European Journal of Operational Research,2012,218(3):789-800.
[40]代宏砚,周伟华,陈志康.多级供应链中库存不准确性对牛鞭效应的影响[J].管理工程学报,2013,27(2):195-201.DAI H Y,ZHOU W H,CHEN Z K.The impacts of inventory inaccuracy on bullwhip effect in multi-stage supply chain[J].Journal of Industrial Engineering/Engineering Management,2013,27(2):195-201.
[41]TONG K,FENG Y,RONG G.Planning under demand and yield uncertainties in an oil supply chain[J].Industrial&Engineering Chemistry Research,2012,51(2):814-834.
[42]FERNANDES L J,RELVAS S,BARBOSA-PóVOA A P.Petroleum supply chain network design and tactical planning with demand uncertainty[M].Cham:Springer International Publishing,2015:59-66.
[43]OLIVEIRA F,GUPTA V,HAMACHER S,et al.A Lagrangean decomposition approach for oil supply chain investment planning under uncertainty with risk considerations[J].Computers&Chemical Engineering,2013,50:184-195.
[44]OLIVEIRA F,NUNES P,BLAJBERG R,et al.A framework for crude oil scheduling in an integrated terminal-refinery system under supply uncertainty[J].European Journal of Operational Research,2016,252(2):635-645.
[45]SIDDIQUI A W,VERMA M.A bi-objective approach to routing and scheduling maritime transportation of crude oil[J].Transportation Research Part D:Transport&Environment,2015,37:65-78
[46]吴亮红,王耀南,陈正龙.求解混合整数非线性规划问题的改进差分进化算法[J].小型微型计算机系统,2007,28(4):666-669.WU L H,WANG Y N,CHEN Z L.Modified differential evolution algorithm for mixed-integer nonlinear programming problems[J].Journal of Chinese Computer Systems,2007,28(4):666-669.
[47]HSU P Y,ANGELOUDIS P,AURISICCHIO M.Optimal logistics planning for modular construction using two-stage stochastic programming[J].Automation in Construction,2018,94:47-61.
[48]李长春.大数据背景下的商品需求预测与分仓规划[J].数学的实践与认识,2017,47(7):70-79.LI C C.Forecasting of commodities demand and warehouse planning under the background of big data[J].Mathematics in Practice and Theory,2017,47(7):70-79.
[49]BRUZDA J.Quantile smoothing in supply chain and logistics forecasting[J].International Journal of Production Economics,2019,208:122-139.
[50]林现喜,李银喜,周信,等.大数据环境下管道内检测数据管理[J].油气储运,2015,34(4):349-353.LIN X X,LI Y X,ZHOU X,et al.Management of inline inspection data of pipelines under the environment of big data[J].Oil&Gas Storage and Transportation,2015,34(4):349-353.
[51]董绍华,安宇.基于大数据的管道系统数据分析模型及应用[J].油气储运,2015,34(10):1027-1032.DONG S H,AN Y.Data analysis model for pipeline system and its application based on Big Data[J].Oil&Gas Storage and Transportation,2015,34(10):1027-1032.
[52]董绍华,张河苇.基于大数据的全生命周期智能管网解决方案[J].油气储运,2017,36(1):28-36.DONG S H,ZHANG H.Solution of full-life-cycle intelligent pipeline network based on big data[J].Oil&Gas Storage and Transportation,2017,36(1):28-36.
[53]周利剑,李振宇.管道完整性数据技术发展现状与展望[J].油气储运,2016,35(7):691-697.ZHOU L J,LI Z Y.The development status and prospect of pipeline integrity data technologies[J].Oil&Gas Storage and Transportation,2016,35(7):691-697.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |