延迟制造下基于Petri网的矿山供需链仿真协调优化
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摘要
针对矿山供需链中终极客户对产品的差异化需求问题,也为提高矿料及产品流动过程中的效率,实现矿山供需链产品的最优化流动,本文在综合分析矿山供需链整体生产运作模式后,采用Petri网技术对矿山四级供需链进行动态建模,并用Flexsim软件对模型仿真优化分析。通过仿真发现采用延迟生产策略可以使设备利用率保持在55%～85%的有效生产运营范围内,不同库存平均存放时间降低了35%～70%,即可让链条下游企业库存水平接近零库存。由此表明矿山供需链的运作效率在很大程度上受到延迟生产制造策略的影响,也使得矿山供需链的运作形式由基于需求预测的标准化生产向响应消费者产品需求的差异化生产转变。该模型识别和消除了矿山供需链的运作瓶颈,为矿山供需链各节点企业制定合理高效的生产计划,增强链条逆向流动信息的响应能力提供了参考依据。
Targeting the differentiated demand for products from the ultimate customer in the mine supply and demand chain,it also aims to improve the efficiency of the process of the flow of mineral materials and products and achieve the optimal flow of the supply and demand chain of mines.After comprehensively analyzing the overall production and operation mode of the supply and demand chain in the mine,Petri net technology and Flexsim software was respectively used to optimize the simulation of the four-level supply and demand chain of the mine.Through the simulation,it is found that using the delayed production strategy can keep the equipment utilization within 55%-85% of the effective production and operation range.The average storage time of different stocks before and after model optimization is reduced by 35%-70%level close to zero stocks.The results show that the operation efficiency of mine supply and demand chain is greatly affected by the delayed manufacturing strategy and also makes the operation mode of mine supply and demand chain change from the standardized production based on demand forecast to the differentiated production in response to consumer demand.The model identifies and eliminates the operational bottlenecks in the supply chain and provides a reference for enterprises in a supply chain to formulate a reasonable andefficient production plan and enhance the response ability of the chain reverse flow information.
Targeting the differentiated demand for products from the ultimate customer in the mine supply and demand chain,it also aims to improve the efficiency of the process of the flow of mineral materials and products and achieve the optimal flow of the supply and demand chain of mines.After comprehensively analyzing the overall production and operation mode of the supply and demand chain in the mine,Petri net technology and Flexsim software was respectively used to optimize the simulation of the four-level supply and demand chain of the mine.Through the simulation,it is found that using the delayed production strategy can keep the equipment utilization within 55%-85% of the effective production and operation range.The average storage time of different stocks before and after model optimization is reduced by 35%-70%level close to zero stocks.The results show that the operation efficiency of mine supply and demand chain is greatly affected by the delayed manufacturing strategy and also makes the operation mode of mine supply and demand chain change from the standardized production based on demand forecast to the differentiated production in response to consumer demand.The model identifies and eliminates the operational bottlenecks in the supply chain and provides a reference for enterprises in a supply chain to formulate a reasonable andefficient production plan and enhance the response ability of the chain reverse flow information.
引文
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[15]郑志琴,钟叔玉.有色金属矿山企业在原料供应链中的定位与对策研究[J].中国矿业,2003,12(6):44-46.ZHENG Zhiqin,ZHONG Shuyu.Research on the positioning and countermeasures of nonferrous metal mining enterprises in raw material supply chain[J].China Mining Magazine,2003,12(6):44-46.
[16]石春玲,杜玉越.基于逻辑Petri网的物流配送系统建模[J].系统仿真学报,2007,19(S1):114-117,123.SHI Chunling,DU Yuyue.Modeling of logistics distribution system based on logic Petri Net[J].Journal of System Simulation,2007,19(S1):114-117,123.
[2]范凤岩,杜庆坤.中国钢铁工业经济增长与能源消费响应关系研究[J].中国矿业,2017,26(3):28-33.FAN Fengyan,DU Qingkun.Study on the response relationship between economic growth and energy consumption in Chinas iron and steel industry[J].China Mining Magazine,2017,26(3):28-33.
[3]杨欣,杨蒲,费树岷.基于资源配置混Bpetri网的混杂系统生产过程建模[J].控制与决策,2009,24(12):1831-1835.YANG Xin,YANG Pu,FEI Shumin.Modeling of hybrid system production process based on resource allocation hybrid Petri nets[J].Control and Decision,2009,24(12):1831-1835.
[4]王雯,傅卫平,任立鹏.基于着色赋时混合Petri网的精敏型供应链动态系统建模与仿真[J].机械科学与技术,2009,28(10):1393-1400.WANG Wen,FU Weiping,REN Lipeng.Modeling and simulation of dynamic supply chain systems based on colored and timed hybrid Petri nets[J].Mechanical Science and Technology,2009,28(10):1393-1400.
[5]赵业清,毕贵红,朱道飞.基于Petri网的钢铁生产复杂物流系统建模[J].冶金自动化,2012,36(6):48-53,62.ZHAO Yeqing,BI Guihong,ZHU Daofei.Modeling of steel production complex logistics system based on Petri nets[J].Metallurgical Automation,2012,36(6):48-53,62.
[6] GBOR B,GBOR K,ANGLA R.Production logistics simulation supported by process description languages[J].Management&Production Engineering Review,2016,7(1):13-20.
[7] PENG J.Simulation and optimization of production logistics system layout based on Flexsim[J].Advances in Information Sciences and Service Sciences,2012,4(18):544-551.
[8] LAURENTIU P C,EMIL C C,VALENTIN I,et al.Modeling processing cell architecture by material flow simulation[J].Procedia Engineering,2015,100:334-339.
[9]彭晨,岳东.基于Petri网的流程供应链过程建模分析[J].计算机工程与应用,2003(10):199-201.PENG Chen,YUE Dong.Process modeling analysis of process supply chain based on Petri net[J].Computer Engineering and Applications,2003(10):199-201.
[10]李任江,曹阳.基于Petri网、Flexsim柔性制造调度仿真优化问题研究[J].制造业自动化,2015,37(11):68-72.LI Renjiang,CAO Yang.Research on simulation optimization of Flexible manufacturing scheduling based on Petri net and Flexsim[J].Manufacturing Automation,2015,37(11):68-72.
[11]罗建强,赵艳萍,程发新.我国制造业转型方向及其实现模式研究——延迟策略实施的视角[J].科学学与科学技术管理,2013,34(9):55-62.LUO Jianqiang,ZHAO Yanping,CHENG Faxin.Research on the transformation direction and implementation mode of Chinas manufacturing industry—from the perspective of delay strategy implementation[J].Science of Science and Management of S.&T.,2013,34(9):55-62.
[12]曾梦杰.基于Flexsim的供应链制造商延迟策略仿真研究[J].物流工程与管理,2015,37(3):117-121.ZENG Mengjie.Simulation research on delay strategy of supply chain manufacturer based on Flexsim[J].Logistics Engineering and Management,2015,37(3):117-121.
[13] HE D,KUSIAK A,TSENG T L.Delayed product differentiation:a design and manufacturing perspective[J].ComputerAided Design,1998,30(2):105-113.
[14] LI C,LIU S.A robust optimization approach to reduce the bullwhip effect of supply chains with vendor order placement lead time delays in an uncertain environment[J].Applied Mathematical Modelling,2013,37(3):707-718.
[15]郑志琴,钟叔玉.有色金属矿山企业在原料供应链中的定位与对策研究[J].中国矿业,2003,12(6):44-46.ZHENG Zhiqin,ZHONG Shuyu.Research on the positioning and countermeasures of nonferrous metal mining enterprises in raw material supply chain[J].China Mining Magazine,2003,12(6):44-46.
[16]石春玲,杜玉越.基于逻辑Petri网的物流配送系统建模[J].系统仿真学报,2007,19(S1):114-117,123.SHI Chunling,DU Yuyue.Modeling of logistics distribution system based on logic Petri Net[J].Journal of System Simulation,2007,19(S1):114-117,123.
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