面向钢铁业的逆向供应链管理系统的研究与开发
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摘要
与钢铁业逆向供应链相关的部分活动存在已久,然而,大部分企业的管理方式仍然局限于那种简单、粗放的管理,如制定几个办法、制度等,并不曾对这些逆向物流活动进行有效的物流组织,由此造成企业运营成本居高不下,进而影响到废钢铁的回收再利用率。针对上述问题,本文进行了钢铁业逆向供应链管理系统的研究与开发,其主要研究内容如下:
一、从成因、发展动力以及一般流程等方面对逆向供应链进行了综述,并在此基础上,对废钢铁的处理活动进行了研究分析;
二、从物料平衡以及逆向物流运作方式等方面对钢铁材料进行了循环分析,建立了废钢铁的生成模型、消耗模型以及废钢铁回收网络模型。利用改进后的模拟退火算法,对废钢铁回收网络模型进行了求解实现,并选用Lingo9.0软件对上述模拟退火算法的优化效果进行了验证;
三、在分析了钢铁业逆向供应链不确定问题的基础上,对灰色预测理论的应用进行了研究,建立了GM(1,1)模型,并实现了对废钢铁逆向供应链不确定问题的预测。结合实际数据对废钢铁市场价格预测,以及废钢铁市场供应量预测进行了算例研究,并通过残差分析,验证了灰预测的可信度;
四、对钢铁业逆向供应链的业务流程、数据流程进行了研究,设计了该系统的功能结构,并采用B/S三层架构模型,实现了该系统的主要功能。
Some of the activities related to reverse supply chain in iron and steel industry have been in existence for a long time, however, the management of most enterprises are still confined to the kind of simple, extensive management, such as the development of several methods, or system. These activities related to reverse logistics do not have an effective logistics organization, resulting in the high cost of business operations, thus affecting the recycling of scrap steel and re-utilization. In view of the above issues, this thesis has done a research on reverse supply chain management in steel and iron industry, its main contents are as follows:
First, the causes, the driving force for development and the general process of the reverse supply chain are reviewed, and on this basis, do a research on recycling of the scrap steel;
Second, it analyzes the material cycle in steel and iron industry from aspects of the material balance and the reverse logistics operation, and establishes the production modal, consumption modal and recycling network modal of the scrap steel. Using improving the simulated annealing algorithm, has achieved a solution for this scrap steel recycling network model, and select the Lingo9.0 software to verify the optimization results of the simulated annealing algorithm;
Third, it analyzes uncertainty issues of the reverse supply chain, on this basis, studies the application of the grey prediction, and establishes the GM (1,1) model, achieves the grey prediction of the uncertainty issues. On a basis of the actual data, predicts the market price and supplying amount of the scrap steel, and through the residuals analysis, the credibility of the Gray prediction was verified;
Fourth, it analyzes business processes and dataflow of the reverse supply chain in steel and iron industry, designs the system's functional structure. Using the 3-Tier architecture of B/S, achieves the major functions.
一、从成因、发展动力以及一般流程等方面对逆向供应链进行了综述,并在此基础上,对废钢铁的处理活动进行了研究分析;
二、从物料平衡以及逆向物流运作方式等方面对钢铁材料进行了循环分析,建立了废钢铁的生成模型、消耗模型以及废钢铁回收网络模型。利用改进后的模拟退火算法,对废钢铁回收网络模型进行了求解实现,并选用Lingo9.0软件对上述模拟退火算法的优化效果进行了验证;
三、在分析了钢铁业逆向供应链不确定问题的基础上,对灰色预测理论的应用进行了研究,建立了GM(1,1)模型,并实现了对废钢铁逆向供应链不确定问题的预测。结合实际数据对废钢铁市场价格预测,以及废钢铁市场供应量预测进行了算例研究,并通过残差分析,验证了灰预测的可信度;
四、对钢铁业逆向供应链的业务流程、数据流程进行了研究,设计了该系统的功能结构,并采用B/S三层架构模型,实现了该系统的主要功能。
Some of the activities related to reverse supply chain in iron and steel industry have been in existence for a long time, however, the management of most enterprises are still confined to the kind of simple, extensive management, such as the development of several methods, or system. These activities related to reverse logistics do not have an effective logistics organization, resulting in the high cost of business operations, thus affecting the recycling of scrap steel and re-utilization. In view of the above issues, this thesis has done a research on reverse supply chain management in steel and iron industry, its main contents are as follows:
First, the causes, the driving force for development and the general process of the reverse supply chain are reviewed, and on this basis, do a research on recycling of the scrap steel;
Second, it analyzes the material cycle in steel and iron industry from aspects of the material balance and the reverse logistics operation, and establishes the production modal, consumption modal and recycling network modal of the scrap steel. Using improving the simulated annealing algorithm, has achieved a solution for this scrap steel recycling network model, and select the Lingo9.0 software to verify the optimization results of the simulated annealing algorithm;
Third, it analyzes uncertainty issues of the reverse supply chain, on this basis, studies the application of the grey prediction, and establishes the GM (1,1) model, achieves the grey prediction of the uncertainty issues. On a basis of the actual data, predicts the market price and supplying amount of the scrap steel, and through the residuals analysis, the credibility of the Gray prediction was verified;
Fourth, it analyzes business processes and dataflow of the reverse supply chain in steel and iron industry, designs the system's functional structure. Using the 3-Tier architecture of B/S, achieves the major functions.
引文
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[3]雷红.浅析废旧钢铁产品的逆向物流.时代经济,2006(12).135-136
[4]夏绪辉,刘飞,曹华军.逆向供应链及其管理系统研究[J].中国制造业信息化,2003,(4):87-90
[5]V.Daniel R.Guide Jr.and Luk N.Van Wassenhove.The Reverse Supply Chain[J].Harvard Business Review,2002,80(2):25-26
[6]王长琼.逆向物流.北京:中国物资出版社,2007
[7]Stock.J.R.Reverse Logistics.Council of Logistics Management,Oak Brook,IL,1992
[8]Kopicki.R.Reuse and recycling-Reverse logistics opportunities.Council of Logistics Management,Oak Brook,IL,1993
[9]Stock.J.R.Development and implementation of Reverse Logistics programs.Council of Logistics Management,Oak Brook,IL,1998
[10]Modtz Fieischmann,Jacqueline M.Bloemhof-Ruwaard,et al.Quantitative models for Reverse logistics:A review[J].European Journal of Operational Research,1997,103(1):1-17.
[11]Rogers DS,Tibben Lembke R.S.Going Backwards:reverse logistics trends and Practices[M].Reverse Logistics Executive Council,Pittsburgh,PA,1999.
[12]Guide J V,Jayaraman V,Srivastava R,et al.Supply-chain management for recoverable Manufacturing systems.Interfaces,2000,30(3).
[13]SHIH Li-Hsing.Reverse logistics system planning for recycling electrical appliances and computers in Taiwan[J].Resources,Conservation and Recycling,2001,32(1):55-72.
[14]Tung-Lai Hu,Jiuh-Biing Sheu,Kuan-Hsiung Huang.A reverse logistics cost minimization model for the treatment of hazardous wastes.Transportation Research,2002,38:457-473.
[15]向盛斌.逆向物流与环境保护[J].物流技术,2001,106(1):44-4.5
[16]柳键.供应链的逆向物流[J].商业经济与管理,2002,125(6):11-13.
[17]朱道立,崔益明,陈妹妮.逆向物流系统和技术[J].复旦学报,2003,42(5):673-67.9
[18]谢家平,陈荣秋.产品回收处理逆向物流的成本效益分析模型[J].中国流通经济,2003,(1)25-28.
[19]达庆利,黄祖庆,张钦.逆向物流系统结构研究的现状及展望[J].中国管理科学,2004,12(1):131-138.
[20]李育杰.中国钢铁工业环境保护现状与发展.钢铁,2003,(38):31-34
[21]张群,邵球军,李岭.论中国钢铁工业发展和循环经济.冶金管理,2007,8:38-41
[22]吴溪淳.怎样认识中国钢铁工业.中国钢铁业,2007,9:5-7
[23]单亦可.钢铁工业可持续发展资源--废钢[J].世界金属导报,2001,(5):22.
[24]雷红.浅析废旧钢铁产品的逆向物流.时代经贸,2006,12:135-136
[25]殷瑞钰.绿色制造与钢铁工业[J].废钢铁,2002,(3):20-24
[26]倪俊芳.产品回收的分类方法研究.中国机械工程,1999,10(6):706-708
[27]王斌,许广岩.钢铁业的回收物流.中关村数字物流港 2006-8-28http://www.dlh.com.cn/DLHWeb/contentmanagement/mana_publish/publ_news/data/2006-08/12727.js P
[28]量天舒.汽车制造企业虚钢铁逆向物流管理研究[D].武汉理工大学。2006:0653
[29]王雨雷,叶耀华,曾学智.关于废钢铁资源的逆向物流规划[J],物流技术.2005(1).
[30]覃林盛.中国废旧金属处理设备现状及市场前景分析.中国废钢铁.2007(2)34-38
[31]孙明贵,郝冬梅,魏丽莉.回收物流管理.北京:中国社会科学出版社.2005
[32]徐小明,李成刚,胡于进等.退役产品的层次性回收方法.中国机械工程,2001,12(5):961-964
[33]罗来军,车永才,王继波.废钢铁的回收物流模型的建立.辽宁工程技术大学校报(增刊).2005(4)293-295
[34]Z.Pelin Bayindir,Nesim Erkip.A model to evaluate inventory costs in a remanufacturing environment.International journal of Production economics,2003,81-82:597-607
[35]V Daniel R.Guider Jr.Rajesh Srivastava.Repairable inventory theory:Models and applications.European Journal of Operational Research.1997,102(1):1-20
[36]Benita M,Beam on.Supply chain net work configuration for product recovery[J].Production Planning & Control,2004,15(3):270-281.
[37]CananS R.Closed loop supply chain mode is with product remanufacturing[J].Management Science,2004,50(2):239-252.
[38]Jayaraman V,Guide JV,Srivastava R.A closed loop logistics model for remanufacturing[J].Journal of the Operational research,1999,50:497-508.
[39]Li-Hsing Shih,Reverse logistics system planning for recycling electrical appliances and computer in Taiwan,Resources,Conservations and Recycling,2001,32,55-72
[40]Elif Kongar,Surendra M.Gupta,A goal programming approach to the remanufacturing supply chain model,http://www.coe.neu.edu/-smgupta
[41]Haque,LM.Mut]itaba,J.N.B.Bell,A simple model for complex waste recycling scenarios in developing economics,Waste Management,2000,20,625-631
[42]A.R.Khoeia,I.Mastersb,D.T.Gethiub Design optimization of aluminum recycling processes using Taguchi technique,journal of Material Processing Technology 2002,127,96-106
[43]Ifean E.Madu,Christian N.Madu,Design optimization using signal-to-noise ratio,Simulation Practice and Theory,1999,349-372
[44]Teunter R H,Vander Laan E,Inderfuther K.How to Set the Holding Cost Rates in Average Cost Inventory Models with Reverse:Logistics.Omega,2000,28:409-415
[45]Richter K,Sombrutzki M.Remanufacturing Planning for the Reverse Wagner/within Models European Journal of Operational Research,2000,121:304-315.
[46]Knut Richter,Mirko sombrutzki.Remanufacturing planning for the reverse Wagner/Within models,European Journal of Operational Research,2000,121(2),.304-315.
[47]杨昕.逆向物流中产品回收策略模型的建立与应用--以TCL彩电为例[D].西北大学,2006.0042.
[48]胡筱沽.家电产品逆向物流模式研究[D]、对外经济贸易大学,2006:2377.
[49]蒋洪伟,韩文秀.产品回收模型研究.中国机械工程,2000,11(9):1022-1023.
[50]姚卫新.在制造条件下逆向物流回收模式的研究[J].管理科学,2004,17(1):76-80.
[51]王凌.智能优化算法及其应用.北京:清华大学出版社:施普林格出版社,2001
[52]邓聚龙.灰系统理论.第三版.武汉:华中科技大学出版社,2002.12-6
[53]邓聚龙.灰色预测模型GM(1,1)的三种性质.华中工学院学报,1987,15(5):1-6
[54]Deng,JL.(2002).Introduction to Grey Theory.Wuhan,China,Huazhong.University of Science and Technology Press.
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