建筑业物流管理关键环节优化研究
|
摘要
现代物流管理已成为各行各业提高物资流通效率、降低流通成本的有效手段。中国的建筑业在国民经济保持持续增长的总体形势下,以不同的幅度逐年增长,建筑业的支柱产业地位得到体现和加强。但是随着经济的全球化和竞争的日益加剧,中国建筑业面临的问题和威胁也是多方面的。现代物流管理思想的兴起,为建筑业提供了增强竞争力的新手段。现代物流管理思想的最终目的在于以最小的成本提供最优质的服务,欲实现这一目的,必须对物流管理中的关键环节予以必要的优化。
本文以建筑业中由总承包企业及其上游供应商组成的二级供应链中的物流管理为研究对象,着眼于采购、库存管理及运输管理的相关理论及优化方法,运用比较分析法、系统分析方法、定性分析与定量分析相结合、规范与实证相结合的研究方法,结合建筑行业的特点和特殊需求,对建筑行业物流管理的关键环节优化问题开展了研究。
物流中的采购、库存及运输等环节,分别解决了供给者与需求者之间场所和时间的分离,分别是物流创造场所价值和时间价值的主要功能因素,是物流系统中的关键环节。无论是战略层的物流系统设计,还是操作层的物流系统运营管理,都必然要面对和必须要合理优化这些环节。建筑业物流管理的总体目标是及时供应工程所需的原材料和辅助材料,避免或减少库存积压,避免资金闲置,形成最佳的物资供应状态。
本文通过对建筑工程采购行为不确定性对采购策略的影响的分析,提出了建筑业采购优化的原则及相应的优化策略。结合采购与库存控制的关系,针对建筑业采购与库存管理的特点和存在的问题,采用JMI策略实现总承包商与其上游供应商的采购-库存优化,从而能够通过统一的协调实现供应链上下游整体优化的目标。在确定优化策略的基础上,建立了建筑业采购-库存控制的JMI优化模型。
结合建筑材料配送车辆载量小于施工需求、配送过程具有时间限制要求及施工现场有限的存储条件等行业特点,分析了建筑材料运输管理中存在的问题,提出了建筑材料配送车辆调度优化的原则及相应的优化策略,并据此建立了建筑材料配送车辆调度的VRP的双目标优化模型。
采用遗传算法对相关案例进行了优化求解。针对建筑业采购-库存JMI联合优化模型及建材配送VRP优化模型,介绍了利用遗传算法的优化求解过程,并给出了优化解及达成优化的各项参数。作为随机优化与搜索算法,遗传算法不是盲目式的乱搜索,也不是穷举式的全面搜索。虽然本研究中模型的求解空间十分庞大,但是配合遗传算法的特性,可以在合理的时间内求得合理的解,使得模型可以应用于我国建筑业的实际。本研究通过遗传算法的应用,确保最优解的求解效率。一方面,其目标达成率非常高,另一方面计算过程所需时间大为减少。因而研究中的模型和算法的应用将会有助于增加建筑材料供应链中供需双方的共同利益。
现代物流管理理论的出现,促进了很多行业管理思想的变革。随着物流和供应链管理思想由传统制造业领域向其他产业的延伸,针对建筑行业的研究和应用也必将逐步深化。本文在建筑业物流管理关键环节优化方面做了有益的研究,对于丰富和促进建筑行业的物流管理理论,合理控制项目费用、有效降低项目建设成本和有力推进项目进度具有积极意义。
Modern logistics has become an effective way to improve efficiency and re-duce cost for materials circulation nowadays. The construction business has been increasing year by year and the position of pillar industry of the construction is reflected and strengthened under the overall situation that national economy keeps lasting growth. But with the economic globalization and aggravation of competition gradually, problems and threat that China's construction industry faces are in many aspects. Modern logistics management offers a new method to improve competitiveness for the construction industry. The final purpose of mod-ern logistics is to offer the high-quality service with the minimum cost. To realize this purpose, it is essential to optimizate the key links of logistics.
The main research object in this dissertation is logistics management of two-level supply chain composed of the general contracting enterprise and its upper-reaching supplier in the construction industry. It focuses on relevant theories and optimization method of the inventory control and transportation management. Comparative analytic approach, system analytical method, the qualitative analy-sis combining with quantitative analysis, standardization research approach com-bining with real example are used to study optimization of the key links of logis-tics management for the construction industry according to the characteristic of the construction business and its special demand.
Necessity of optimization for logistics management of the construction in-dustry is discussed according to its characteristics and current situation. And op-timizing tactics and relevant method are chosen with management theory of lo-gistics and supply chain.
The key links of the logistics management for the construction industry are defined. Transportation and inventory solve the problems of time separation and place separation between the supplier and the vendor respectively. They are the main function factors that create place value and time value through logistics and two essential links in logistics system. In addition, they take the majority of the cost of the logistics. All logistics system must face these two links and need to optimize them rationally. The overall goal of logistics management of the con- struction is to supply the raw materials and assist materials that the project needs in time, avoid or reduce stocks, prevent the fund from leaving unused, form the best material supply situation, and at the same time count materials consuming, input and output, etc., and offer prompt and essential decision information to the enterprise's policymaker. The control over inventory should realize the purpose of guaranteeing supply, reducing cost of stock and accelerating turnover of fund. And transportation management should realize the purpose of timely economical transportation with little turnover times. So these two links should be the key links to be studied for optimization of construction logistics.
Through characteristics analysis of the construction industry, the Joint-Management Inventory is chosen as tactics to optimize the whole inventory of general contractor and its upper supplier. It can improve the inventory manage-ment level and optimize the whole inventory management through coordination. On the basis of analyzing main influence factors pointedly, the model of Joint-Management Inventory for the construction industry is set up and the genetic al-gorithm is chosen as its solving method according to the characteristic of inven-tory control for the construction industry. The optimization model of VRPTW for the construction is set up according to characteristics influence factors of the construction industry with the genetic algorithm as the solving method.
The calculation is operated through Matlab to realize optimization of the model charge the operation of the model of VRPTW for the construction as an example to proved optimization efficiency and usability of the algorithm. As a searching and optimizing algorithm, the genetic algorithm is not to search the re-sult in an all-round way or blindly, it is to search the result according to the indi-vidual living environment i.e. goal function. For the genetic algorithm only needs to utilize fetching value information of the goal without gradient, continuity and protruding information, it is suitable for optimization of the extensive, highly non-linear without discontinuity and multi-peak functions and no-analyzing ex-pression formula and has high commonability. The operation target of the algo-rithm is a group of individuals and has many searching orbits for, so it has chrematistics of recessive paralleling.
The appearance of logistics management theory has promoted the change of the management thoughts of a lot of industries. The research and application about it for the construction industry will be strengthened as the thoughts of modern logistics and supply chain extend towards from the field of traditional manufacturing industry to other industries. The beneficial research has been car-ried out in this dissertation on optimization of key logistics links for the con-struction industry. The research has positive meanings to enrich and promote lo-gistics management theory for the construction industry, control the project ex-penses rationally, reduce the construction cost of the project effectively and ac-celerate the project progress.
本文以建筑业中由总承包企业及其上游供应商组成的二级供应链中的物流管理为研究对象,着眼于采购、库存管理及运输管理的相关理论及优化方法,运用比较分析法、系统分析方法、定性分析与定量分析相结合、规范与实证相结合的研究方法,结合建筑行业的特点和特殊需求,对建筑行业物流管理的关键环节优化问题开展了研究。
物流中的采购、库存及运输等环节,分别解决了供给者与需求者之间场所和时间的分离,分别是物流创造场所价值和时间价值的主要功能因素,是物流系统中的关键环节。无论是战略层的物流系统设计,还是操作层的物流系统运营管理,都必然要面对和必须要合理优化这些环节。建筑业物流管理的总体目标是及时供应工程所需的原材料和辅助材料,避免或减少库存积压,避免资金闲置,形成最佳的物资供应状态。
本文通过对建筑工程采购行为不确定性对采购策略的影响的分析,提出了建筑业采购优化的原则及相应的优化策略。结合采购与库存控制的关系,针对建筑业采购与库存管理的特点和存在的问题,采用JMI策略实现总承包商与其上游供应商的采购-库存优化,从而能够通过统一的协调实现供应链上下游整体优化的目标。在确定优化策略的基础上,建立了建筑业采购-库存控制的JMI优化模型。
结合建筑材料配送车辆载量小于施工需求、配送过程具有时间限制要求及施工现场有限的存储条件等行业特点,分析了建筑材料运输管理中存在的问题,提出了建筑材料配送车辆调度优化的原则及相应的优化策略,并据此建立了建筑材料配送车辆调度的VRP的双目标优化模型。
采用遗传算法对相关案例进行了优化求解。针对建筑业采购-库存JMI联合优化模型及建材配送VRP优化模型,介绍了利用遗传算法的优化求解过程,并给出了优化解及达成优化的各项参数。作为随机优化与搜索算法,遗传算法不是盲目式的乱搜索,也不是穷举式的全面搜索。虽然本研究中模型的求解空间十分庞大,但是配合遗传算法的特性,可以在合理的时间内求得合理的解,使得模型可以应用于我国建筑业的实际。本研究通过遗传算法的应用,确保最优解的求解效率。一方面,其目标达成率非常高,另一方面计算过程所需时间大为减少。因而研究中的模型和算法的应用将会有助于增加建筑材料供应链中供需双方的共同利益。
现代物流管理理论的出现,促进了很多行业管理思想的变革。随着物流和供应链管理思想由传统制造业领域向其他产业的延伸,针对建筑行业的研究和应用也必将逐步深化。本文在建筑业物流管理关键环节优化方面做了有益的研究,对于丰富和促进建筑行业的物流管理理论,合理控制项目费用、有效降低项目建设成本和有力推进项目进度具有积极意义。
Modern logistics has become an effective way to improve efficiency and re-duce cost for materials circulation nowadays. The construction business has been increasing year by year and the position of pillar industry of the construction is reflected and strengthened under the overall situation that national economy keeps lasting growth. But with the economic globalization and aggravation of competition gradually, problems and threat that China's construction industry faces are in many aspects. Modern logistics management offers a new method to improve competitiveness for the construction industry. The final purpose of mod-ern logistics is to offer the high-quality service with the minimum cost. To realize this purpose, it is essential to optimizate the key links of logistics.
The main research object in this dissertation is logistics management of two-level supply chain composed of the general contracting enterprise and its upper-reaching supplier in the construction industry. It focuses on relevant theories and optimization method of the inventory control and transportation management. Comparative analytic approach, system analytical method, the qualitative analy-sis combining with quantitative analysis, standardization research approach com-bining with real example are used to study optimization of the key links of logis-tics management for the construction industry according to the characteristic of the construction business and its special demand.
Necessity of optimization for logistics management of the construction in-dustry is discussed according to its characteristics and current situation. And op-timizing tactics and relevant method are chosen with management theory of lo-gistics and supply chain.
The key links of the logistics management for the construction industry are defined. Transportation and inventory solve the problems of time separation and place separation between the supplier and the vendor respectively. They are the main function factors that create place value and time value through logistics and two essential links in logistics system. In addition, they take the majority of the cost of the logistics. All logistics system must face these two links and need to optimize them rationally. The overall goal of logistics management of the con- struction is to supply the raw materials and assist materials that the project needs in time, avoid or reduce stocks, prevent the fund from leaving unused, form the best material supply situation, and at the same time count materials consuming, input and output, etc., and offer prompt and essential decision information to the enterprise's policymaker. The control over inventory should realize the purpose of guaranteeing supply, reducing cost of stock and accelerating turnover of fund. And transportation management should realize the purpose of timely economical transportation with little turnover times. So these two links should be the key links to be studied for optimization of construction logistics.
Through characteristics analysis of the construction industry, the Joint-Management Inventory is chosen as tactics to optimize the whole inventory of general contractor and its upper supplier. It can improve the inventory manage-ment level and optimize the whole inventory management through coordination. On the basis of analyzing main influence factors pointedly, the model of Joint-Management Inventory for the construction industry is set up and the genetic al-gorithm is chosen as its solving method according to the characteristic of inven-tory control for the construction industry. The optimization model of VRPTW for the construction is set up according to characteristics influence factors of the construction industry with the genetic algorithm as the solving method.
The calculation is operated through Matlab to realize optimization of the model charge the operation of the model of VRPTW for the construction as an example to proved optimization efficiency and usability of the algorithm. As a searching and optimizing algorithm, the genetic algorithm is not to search the re-sult in an all-round way or blindly, it is to search the result according to the indi-vidual living environment i.e. goal function. For the genetic algorithm only needs to utilize fetching value information of the goal without gradient, continuity and protruding information, it is suitable for optimization of the extensive, highly non-linear without discontinuity and multi-peak functions and no-analyzing ex-pression formula and has high commonability. The operation target of the algo-rithm is a group of individuals and has many searching orbits for, so it has chrematistics of recessive paralleling.
The appearance of logistics management theory has promoted the change of the management thoughts of a lot of industries. The research and application about it for the construction industry will be strengthened as the thoughts of modern logistics and supply chain extend towards from the field of traditional manufacturing industry to other industries. The beneficial research has been car-ried out in this dissertation on optimization of key logistics links for the con-struction industry. The research has positive meanings to enrich and promote lo-gistics management theory for the construction industry, control the project ex-penses rationally, reduce the construction cost of the project effectively and ac-celerate the project progress.
引文
1 黄旻舒, 孙周. 安装企业物流管理的现状与解决方案.安装. 2002, (10):1~3
2 陈扬,孔海峰.基于 WBS 的工程项目物流管理. 建筑技术开发. 2004, (1):79~80
3 陈方建. 中国建材物流管窥. 物流技术. 2006, (6):105~107
4 黄旻舒, 李桂芳. 建筑企业供应链物流管理技术的研究. 安装. 2004,(2): 1~2
5 顾松林. 建筑施工企业物流及供应链管理的改革与提高方案浅析. 管理现代化. 2001, (3):30~31
6 吴来伟, 赵俊. 建筑施工中的物流管理. 建筑视界. 2004, (6): 30~31
7 EW Davis. Project Scheduling under Resource Constraints Historical Review and Categorization of Procedures. IEEE Transactions. 1993, (5):297~313
8 周启蕾. 我国物流理论研究的现状与未来. 中国流通经济. 2000, (2):27
9 汝宜红. 现代物流理论及其实践. 中国物资流通. 2001, (7):20~21
10 Martin Christopher(英). 物流与供应链管理: 降低成本与改善服务的战略.电子工业出版社. 2003:8~21
11 James R. Stock, Douglas M. Lambert (美). 战略物流管理. 中国财政经济出版社. 2003:11~29
12 王槐林, 凌大荣, 刘志学. .物资资源配置技术. 中国物资出版社. 1998:3~18
13 浅汤和夫(日). 供应链下的物流管理. 海天出版社. 2002:31~36
14 日本综合研究所供应链研究部. 供应链管理. 中信出版社. 2001:5~11
15 Michael E. Porter. 竞争优势. 陈小悦译. 华夏出版社. 2002:36~53
16 Goswami A., Chaudhri K. EOQ Model for an Iinventory. Journal of Opl Res Soc. 2002, (1):81~87
17 Nadim E., Abboud and Robert G. S. Time-limited free back- orders EOQ Model. Application Mathematics Modeling. 1997, (1):21~25
18 Huang Huiran, zhang xiaohong, Pan Dehui. The Production-inventory Model with Time-dependent Demand and Time-limited free back-orders. Proceeding of the 3th World Cogress on Intelligent Control and Automation, Hefei, P.R. China, 2000:1844~1877
19 Song Chunyun, Gao Chunhua, Wang Hui, Li Ping. A Finite Horizon SchedulingModel Based on Optimal Inventory. Proceedings of the 3th World Cogress on Intelligent Control and Automation, Hefei, P.R. China, 2000:1878~1882
20 Franco Blanchini, Stefano Miani, Raffaele Pesenti, Franca Rinaldi. Control Policies for Multi-inventory Systems with uncertain Demand and Setups. Pro-ceedings of the 40th IEEE Conference on Decision and Constrol, Oriando, Florida USA, 2001:1941~1946
21 Jonah Tyan, Hui-Ming Wee. Vendor Management Inventory: A Survey of the Taiwanese Grocery Industry. Jouranl of Purchase & Supply Management. 2003 (9):11~18
22 Lummus, R.Vokurka. Defining Supply Chain Management: A History Perspec-tive and Practical Guidenlines. Industrial Management and Data Systmes.2004, (9):11~17
23 R.J.Schonberger. Strategic Collaboration: Breaching the Castle Walls. Buiness Horizons. 1996, (3):20
24 Kuet Salmon Associates Inc. Efficient Consumer Response: Enhancing Con-sumer Value in the Grocer Industry. Food Marketing Institute. Washington, DC, 1993:20
25 Gerber, N. Objective Comparisons of Consignment, Just-in-Time, and Stock-less. Hospital Material Management Quarterly. 2003(1): 10~17
26 Yan Dong, Kefeng Xu. A Supply Chain Model of Vendor Management Inven-tory. Transaction Research Part E. 2002, (3):75~79
27 M. Burke. It’s Time for Vender Management Inventory. Industrial Distribution. 1996, (6): 90
28 K.Cottrill. Reforming the Supply Chain. Journal of Business Strategy 2002, (6):35~39
29 R. J.Schonberger. Strategic Collaboration: Breaching the Castle walls. Business Horizons. 1996, (9): 20
30 A. M.Hughes. How Panduit did it. American Demographics. 2001, (8): 4~7
31 S.Elmaghraby. Activity Nets:A guided Tour through some Recent Develop-ments. European Journal of Operational Research. 1997, (8):383~408.
32 Leonieke.G..Zomerdijk, Jan de Vries. An Organizational Perspective on Inven-tory Control, Theory and a Case Study. Int. J. Production Economics. 2003:173~183.
33 Alessandra Guariglia. An Analysis of the Inventory Behavior in a q-theoretic Framework. Int. J. Production Economics. 1999:131~146.
34 Karl Inderfurth, Erwin wan der Laan. Lead-time Effects and Policy Improve-ment for Stochastic Inventory Control with Remanufacturing. Int. J. Production Economics. 2001:381~190
35 Amy Zhaohui Zeng, C Jack, Hayya. The Performance of Two Popular Service Measures on Management Effectiveness in Inventory Control. Int. J. Production Economics. 1999:147~158
36 Danuta Kisperska-Moro. Responsibilities for Inventory Decisions in Polish Manufacturing Companies. Int. J. Production Economics. 2003:129~139
37 Erdal Erel. A study on Production Lines with Discrete Batch WIP Inventory Transfer. Int. J. Production Economics. 1998:71~85
38 F. Hillier. The Effect of the Co-efficient of Variation of Operation Times on the Allocation of Storage Space in Production Line Systems. IEEE Transaction 1999: 198~206
39 Bhaba R. Sarker, Subhasis Mukherjee, Chidambaram V. Balan. An Order-level lot Size Inventory Mode with Inventory-level Dependent Demand and Deterio-ration. Int. J. Production Economics. 2002:227~236
40 E.Yourdon. Modern Structure Analysis. Prentice-Hall. 1999:33-36
41 Ronald H.Ballou (美). 企业物流管理理论与案例, 机械工业出版社, 2004:66~68
42 Sunil Chopra, Peter Meindl. 供应链管理、战略规划与运作. 清华大学出版社, 2001:5~8
43 G. Dantzig, J Ramser. The Truck Dispatching Problem. Management Science. 1995, (6):80
44 李军, 郭辉煌. 物流配送—车辆优化调度理论与方法. 中国物资出版社. 2001:21~23
45 L Bodin, B Golden. Classification in Vehicle Routing and Scheduling. Net-Works. 2002, (11):97~108.
46 L Bodin, B Golden, A Assad, and M. Ball. Routing and Scheduling of Vehicles and Crews: The State of the Art. Computer & Operations Research. 2003, 10(2): 61~211
47 M Savelsbergh. Local Search for Routing Problem with Time Windows. Opera-tion Research, 2005, 16,(4): 285~305
48 M. Desrosiers, J. Lenstra, M. Savelsbergh and F. Soumis. Vehicle Routing: Methods and Studies. North-Holland, Amsterdam, 1998:64-84
49 Thangiah S, Nygard K, G Juellp. A Genetic Algorithms System for Vehicle Routing with Time Windows. Miami proceedings of the Seventh Conference on Artificial Intelligence Application, Florida, 2003:322~325
50 L Joe, L Roger. Multiple-Vehicle Routing with Time and Capacity Constrains Using Genetic Algorithms. Proceedings of the Fifth International Conference on Genetic Algorithms, Florida, 1998:452~459
51 P Wark, J Holt. A Repeated Matching Heuristic for the Vehicle Routing Prob-lem. Operations Research Society. 1999, (10):1156~1167
52 M. O. Ball, T. L. Magnanti, C. I. Monma et al, eds. Handbooks in Operations Research and management Science. Network Routing. 1999, (8):9~23
53 Paolo Toth and Daniele Vigo. The Vehicle Routing Problem. Society for Indus-trial and Applied Mathematics, Philadephia, USA, 2002:221~223
54 W Herroelen, E Demeulemeester, De Reyck. Resource-Constrained Project Scheduling: A Survey of recent Developments. Computers & Operations Re-search. 1998, (4): 279~302
55 W Herroelen, E Demeulemeester, De Reyck. A Classification Scheme for Pro-ject Scheduling. Boston Kluwer Academic, 1999: 1~26.
56 郭辉煌, 李军. 车辆调度优化. 中国物资出版社. 1994: 12~16
57 汪寿阳, 赵秋红, 夏国平. 集成物流管理系统中定位—运输路线安排问题的研究. 管理科学学报. 2003, (2):69~75
58 祝崇隽, 刘民, 吴澄. 供应链中车辆路径问题的研究进展及前景. 计算机集成制造系统 CIMS. 2001, (11):1~6
59 袁庆达, 杜文, 周再玲. 带软时间窗的混合车队车辆路线问题的模型和算法研究. 西南交通大学学报. 2003, (4):401~406
60 谢秉磊, 李军, 郭辉煌. 动态车辆路径问题:现状与展望.系统工程理论方法应用. 2002, (2):116~120
61 石洪波, 郎茂祥. JD 多车型配送车辆调度问题的模型及其禁忌搜索算法研究. 长沙交通学院学报. 2005, (3):31~36
62 李军, 郭强. 车辆路径问题的改进表上作业法. 西南交通大学学报. 2000, (5):532~534
63 Z Chong-Jun, L.Min, W Cheng, W Xiao-Bing. Two kinds of 2-Pot Algorithm for VRP with Fuzzy Demand. Tien Tzu Hsueh Pso/Acta Electronica Sinica. 2003, (8):1035~1037
64 Jarnbring. Material Flow Cost on Building Site. European Journal of Purchas-ing & Supply Management. 2000, 6(3):169~178
65 Sven Bertelsen, Jorgen Nielsen. Just-In-Time Logistics in the Supply Chain of Building Materials. 1st International Conference on Construction Industry De-velopment: Building the future Together, Singapore, 1997:10~12
66 Jean-Luc Salagnac, Yacine. Logistics: A Step towards Lean Construction. Inter-national Group for Lean Construction IGLC-7, 1999:30~31
67 Ruben Brijhoef, Lauri Koskela. Roles of Supply Chain Management in Con-struction. Proceedings IGLC-7, 1999:135
68 Mads Veiseth, Carl Christian Rostad, Bijorn Anderson. Productivity and Logis-tics in the construction industry learn form stationary industry, 2003:2~3
69 Jan A. Elfving. Improving the delivery process for engineered-to-order product. Journal of Purchasing and Supply Management. 2005, (4):173~181
70 Marry Poppendieck. The Impact of Logistics Innovation on Project Manage-ment. Proceedings of PMI Seminars & Symposium. 2000:8~10
71 Timo Ala-Risku, Mikko K?rkk?inin, Material Delivery Problems in Problems in Construction Projects: A Possible Solution. International Journal of Produc-tion Economics. November 2006, 104(3):19~29
72 Sofia Villagarcia, Fred Borges Da Silva, Francisco Cardoso. Information Flow Optimization as a Way of Improving Building Logistics Performance. 7th Con-ference of the International Group for Lean Construction Proceedings, 1999:26~28
73 Volkhard Franz, Jens H Utsch. Logistic for Building Material Supplier-Methods and Instruments for Controlling. Journal of the American College of Cardiol-ogy, 2002, 39(5):5~12
74 Elisabeth Bergstedt, Irene Linder. Material Flow Study of Sand and Gravel in Sweden. Statistics Sweden. 1999:12~17
75 Hiroyuki Nakamura, Design of Reverse Logistics System with Reverse Whole-sale Business and Reverse Logistics Distribution Center for closed loop Supply Chain in the Construction Industry. 2nd International Symposium on Environ-mentally Conscious Design and Inverse Manufacturing, 2001:696
76 http://doi.ieeecomputersociety.org/10.1109/.2001.992451
77 江伟. 我国建筑业物流管理研究. 建筑经济. 2003, (5):23~25.
78 黄旻舒, 孙舟. 安装企业物流管理的现状和解决方案. 安装. 2002(5):1~3
79 唐爱华. 现代物流思想在施工企业物资管理中的应用. 山西建筑, 2003, 29( 11 ):90~91
80 汪文忠. 建筑企业推行供应链管理势在必行. 中国物资流通. 2002, (4):40~42.
81 袁文雷, 刘涛, 肖绪文. 打造现代建筑企业供应链强化资源整合. 施工技术. 2002, (12): 8~9
82 黄凤文,吴育华,任波,建筑行业实行绿色供应链管理研究, 长春工程学院学报. 2003, (3):33-36
83 田哲, 顾姣健, 建筑企业 ERP 的研究与探讨. 施工企业管理. 2003, (3):28~30
84 程敏,林知炎,余婕. 建筑企业供应链管理中的不确定性研究, 建筑管理现代化. 2003, (1): 16~17
85 祁神军, 陈峰,丁烈云. 建筑施工企业精准物流管理. 价值工程. 2006, (7):114~116
86 李军, 郭辉煌. 物流配送车辆优化调度理论. 中国物资出版社. 2001: 4~10
87 Hokey Min. Location Planning of Airport Facilities Using the Analytic Hierar-chy Process. Logistics and Transportation Review. 2002, (1):30~31
88 Julien Brmel, David Simchi-Levi. The Logistics-Theory, Algorithms and Ap-plication for Logistics Management. New York: Springer-Verlag New York Inc. 1997:22
89 Vaidyanathan Jayaraman. A Multi-Objective Logistics Model for a Capacitated Service Facility Problem. International Journal of Physical Distribution & Lo-gistics Management. 2002, (1):29~30
90 王加林. 物流系统工程. 中国物资出版社. 1987:16-19
91 Geoff. Application of Mathematical Programming-before, now and after. Op-eration Research Society. 1985, (5):347~356
92 李东, 卢晓辉, 费奇, 陈学广. 在大型物流调运系统中建立实际的运输问题模型的研究. 2000, (6):18~22
93 Talluri Srinivasa, R. C Baker. A Multi-phase Mathematical Programming Ap-proach for Effective Supply Chain Design. European Journal of Operation Re-search, 2002, (3): 544~558
94 H. A.Taha, Integer Programming. New York Academic Press. 2002:131
95 Patsiatzis Dimitrios, Papagorgiou Lazaros. Optimal Multi-floor Process Plant Layout. Computers and chemical Engineering. 2002, (4):575~583
96 Shih, Li-hsing. Planning of Fuel Coal Imports Using a Mixed Integer Pro-gramming Method. International Journal of Production Economics. 1997, (3):243~149
97 Gjerdrum Jonatan, Shah Nilay, G Papageorgiou Lzazaros. Fair Transfer Price and Inventory Holding Policies in two-enterprises Supply Chain. European Journal of Operation Research. 2002, (3):582~599
98 Badinelli Ralph. Concurrent 0ptimization in Designing for Logistics Support. European Journal of Operational Research. 1999, 115(1):77~97
99 Geu Kevin R. A Dynamic Distribution Model for Combat Logistics. Computers and Operation Research. 2003, (3):367~381
100 M. Hatch. Concurrent Optimization Methodology for Concurrent Engineering. Engineering Management. 1999, 115(1):77~79
101 Geoff L. Application of Mathematical Programming-before, now and after. Op-eration Research Society, 1995, (5):347~356
102 Ralphs T., K. Parallel Broach and Cut for Capacitated Vehicle Routing. Paralle Computing. 2003, (5):707~629
103 Klein Robert. Scholl Armin. Maximizing the Production Rate in Simple As-sembly Line Balancing-A Branch and Bound Procedure. European Journal of Operation Research. 1996, (2): 367~385
104 吴青一. 物流学. 中国建材工业出版社. 1998: 3~5
105 Vaidyanathan Janaraman. Transportation, Facility Location and Inventory in Distribution Network Design-An Investigation. International Journal of Opera-tional & Production Management. 1998, (5):18
106 John D Reid, Dean L Sicking and Gene W Paulsen. Design and Analysis of Ap-proach Terminal Sections Using Simultion. Journal of Transportation Engineer-ing. 1996, (5):122
107 Garland Chow, Trevor D Heaver and Lennart E Henriksson. Strategy, Structure and Performance: A Framework for Logistics Research. The Logistics andTransportation Review. 2000, 31(4):285~307
108 James Stock. Marketing Intelligence & Planning. International Journal of Physical Distribution and Logistics Management. 1990, (5):8~9
109 R D Buzzel and G. Ortemeyer. Channel Partnerships Streamline Distribution. MIT Sloan Management Review. 1998, (8):36
110 王莉. 物流学导论. 中国铁道出版社. 1997:2-10
111 Carlos F Daganzo. Logistics System Analysis. Third Edition New York, Springer-Verlag. 1999:46~50
112 Bae H M. Process Flow Modeling and Analysis: A Practitioner’s Approach. In-dustrial Engineering. 2003, (6):11~12
113 Gregory L Schlegel. Supply Chain Optimization: A Practitioner’s Perspective on the Next Logistics Breakthrough. Hospital Material Management Quarterly. 2000, (8):26~30
114 Jalia Marshall. Improving the Transport Chain. Cargo System. 1998, (11):86
115 Sait S. M., Youseef H., Iterative Computer Algorithms with Application in En-gineering. IEEE Computer Society, Los Alamios, 1999:101~103
116 Haykin S. Neural network-A Comprehensive Foundation. Macmaillan College Publishing Company. 1999:85~86
117 Foo Y. S. Takefuji Y. Stochastic Neural Networks for Solving Job-shop Sched-uling. Problem Representation. IEEE International Conference on Neural Net-works, San Diego, 1998: 203~206
118 Garetti M., Taisch M. Advance Computing Techniques in Production Planning and Control. Production Planning and Control 1999, (4):01~304
119 U. R.Kulkarni, M.Y.Kiang. Dynamic Grouping of Parts in Flexible Manufactur-ing Systems-A self-organizing Neural Networks Approach. European Journal of Operation Research. 2003, (3):629~645
120 Jayaraman Vaidyanathan, Ross Anthony. A Simulated Annealing Methodology to Distribution Network Design and Management. European Journal of Opera-tional Research. 2003, (3):603~615
121 Y Li, Wang D, A semi-infinite Programming Model for Earliness/Tardiness Production Planning with Simulated Annealing. Mathematical and Computer Modeling. 1997, (7):35~42
122 李岩, 吴智铭. 一种混合 GA、SA 和启发式规则的 FMS 调度方法. 上海交通大学学报.1999, (1):129~132
123 Glover F. Tabu Search: Part Ⅰ . ORSA Journal on computing. 1999, (3):190~206
124 M.Widme, A.Hertz. New Heuristic Method for the Flow Shop Sequencing Problem. European Journal of Operation Research. 1999, (2):186~193
125 K. S.Hindi. Solving the CLSP by a Tuba Search Heuristic. Journal of the Op-erational Research Society. 1996, (4):151~161
126 刘丹杰. 遗传算法的编码研究.甘肃科技, 2004, (6):136~137
127 董颖, 刘欢杰. 一种基于实数编码的改进遗传算法. 东北大学学报(自然科学版). 2005,(4):199~221
128 张晋, 李东黎, 李平. 遗传算法编码机制的比较研究. 中国矿产大学学报. 2002,(6): 37~40
129 雷德明. 多维实数编码遗传算法. 控制与决策. 2000, (2):239~241
130 刘建斌 . 建筑材料集中采购管理模式研究与实现 . 施工技术 .2005, (2):40~41
131 郑武. 商品混凝土调度. 建筑经济. 2006, (2):22~23
2 陈扬,孔海峰.基于 WBS 的工程项目物流管理. 建筑技术开发. 2004, (1):79~80
3 陈方建. 中国建材物流管窥. 物流技术. 2006, (6):105~107
4 黄旻舒, 李桂芳. 建筑企业供应链物流管理技术的研究. 安装. 2004,(2): 1~2
5 顾松林. 建筑施工企业物流及供应链管理的改革与提高方案浅析. 管理现代化. 2001, (3):30~31
6 吴来伟, 赵俊. 建筑施工中的物流管理. 建筑视界. 2004, (6): 30~31
7 EW Davis. Project Scheduling under Resource Constraints Historical Review and Categorization of Procedures. IEEE Transactions. 1993, (5):297~313
8 周启蕾. 我国物流理论研究的现状与未来. 中国流通经济. 2000, (2):27
9 汝宜红. 现代物流理论及其实践. 中国物资流通. 2001, (7):20~21
10 Martin Christopher(英). 物流与供应链管理: 降低成本与改善服务的战略.电子工业出版社. 2003:8~21
11 James R. Stock, Douglas M. Lambert (美). 战略物流管理. 中国财政经济出版社. 2003:11~29
12 王槐林, 凌大荣, 刘志学. .物资资源配置技术. 中国物资出版社. 1998:3~18
13 浅汤和夫(日). 供应链下的物流管理. 海天出版社. 2002:31~36
14 日本综合研究所供应链研究部. 供应链管理. 中信出版社. 2001:5~11
15 Michael E. Porter. 竞争优势. 陈小悦译. 华夏出版社. 2002:36~53
16 Goswami A., Chaudhri K. EOQ Model for an Iinventory. Journal of Opl Res Soc. 2002, (1):81~87
17 Nadim E., Abboud and Robert G. S. Time-limited free back- orders EOQ Model. Application Mathematics Modeling. 1997, (1):21~25
18 Huang Huiran, zhang xiaohong, Pan Dehui. The Production-inventory Model with Time-dependent Demand and Time-limited free back-orders. Proceeding of the 3th World Cogress on Intelligent Control and Automation, Hefei, P.R. China, 2000:1844~1877
19 Song Chunyun, Gao Chunhua, Wang Hui, Li Ping. A Finite Horizon SchedulingModel Based on Optimal Inventory. Proceedings of the 3th World Cogress on Intelligent Control and Automation, Hefei, P.R. China, 2000:1878~1882
20 Franco Blanchini, Stefano Miani, Raffaele Pesenti, Franca Rinaldi. Control Policies for Multi-inventory Systems with uncertain Demand and Setups. Pro-ceedings of the 40th IEEE Conference on Decision and Constrol, Oriando, Florida USA, 2001:1941~1946
21 Jonah Tyan, Hui-Ming Wee. Vendor Management Inventory: A Survey of the Taiwanese Grocery Industry. Jouranl of Purchase & Supply Management. 2003 (9):11~18
22 Lummus, R.Vokurka. Defining Supply Chain Management: A History Perspec-tive and Practical Guidenlines. Industrial Management and Data Systmes.2004, (9):11~17
23 R.J.Schonberger. Strategic Collaboration: Breaching the Castle Walls. Buiness Horizons. 1996, (3):20
24 Kuet Salmon Associates Inc. Efficient Consumer Response: Enhancing Con-sumer Value in the Grocer Industry. Food Marketing Institute. Washington, DC, 1993:20
25 Gerber, N. Objective Comparisons of Consignment, Just-in-Time, and Stock-less. Hospital Material Management Quarterly. 2003(1): 10~17
26 Yan Dong, Kefeng Xu. A Supply Chain Model of Vendor Management Inven-tory. Transaction Research Part E. 2002, (3):75~79
27 M. Burke. It’s Time for Vender Management Inventory. Industrial Distribution. 1996, (6): 90
28 K.Cottrill. Reforming the Supply Chain. Journal of Business Strategy 2002, (6):35~39
29 R. J.Schonberger. Strategic Collaboration: Breaching the Castle walls. Business Horizons. 1996, (9): 20
30 A. M.Hughes. How Panduit did it. American Demographics. 2001, (8): 4~7
31 S.Elmaghraby. Activity Nets:A guided Tour through some Recent Develop-ments. European Journal of Operational Research. 1997, (8):383~408.
32 Leonieke.G..Zomerdijk, Jan de Vries. An Organizational Perspective on Inven-tory Control, Theory and a Case Study. Int. J. Production Economics. 2003:173~183.
33 Alessandra Guariglia. An Analysis of the Inventory Behavior in a q-theoretic Framework. Int. J. Production Economics. 1999:131~146.
34 Karl Inderfurth, Erwin wan der Laan. Lead-time Effects and Policy Improve-ment for Stochastic Inventory Control with Remanufacturing. Int. J. Production Economics. 2001:381~190
35 Amy Zhaohui Zeng, C Jack, Hayya. The Performance of Two Popular Service Measures on Management Effectiveness in Inventory Control. Int. J. Production Economics. 1999:147~158
36 Danuta Kisperska-Moro. Responsibilities for Inventory Decisions in Polish Manufacturing Companies. Int. J. Production Economics. 2003:129~139
37 Erdal Erel. A study on Production Lines with Discrete Batch WIP Inventory Transfer. Int. J. Production Economics. 1998:71~85
38 F. Hillier. The Effect of the Co-efficient of Variation of Operation Times on the Allocation of Storage Space in Production Line Systems. IEEE Transaction 1999: 198~206
39 Bhaba R. Sarker, Subhasis Mukherjee, Chidambaram V. Balan. An Order-level lot Size Inventory Mode with Inventory-level Dependent Demand and Deterio-ration. Int. J. Production Economics. 2002:227~236
40 E.Yourdon. Modern Structure Analysis. Prentice-Hall. 1999:33-36
41 Ronald H.Ballou (美). 企业物流管理理论与案例, 机械工业出版社, 2004:66~68
42 Sunil Chopra, Peter Meindl. 供应链管理、战略规划与运作. 清华大学出版社, 2001:5~8
43 G. Dantzig, J Ramser. The Truck Dispatching Problem. Management Science. 1995, (6):80
44 李军, 郭辉煌. 物流配送—车辆优化调度理论与方法. 中国物资出版社. 2001:21~23
45 L Bodin, B Golden. Classification in Vehicle Routing and Scheduling. Net-Works. 2002, (11):97~108.
46 L Bodin, B Golden, A Assad, and M. Ball. Routing and Scheduling of Vehicles and Crews: The State of the Art. Computer & Operations Research. 2003, 10(2): 61~211
47 M Savelsbergh. Local Search for Routing Problem with Time Windows. Opera-tion Research, 2005, 16,(4): 285~305
48 M. Desrosiers, J. Lenstra, M. Savelsbergh and F. Soumis. Vehicle Routing: Methods and Studies. North-Holland, Amsterdam, 1998:64-84
49 Thangiah S, Nygard K, G Juellp. A Genetic Algorithms System for Vehicle Routing with Time Windows. Miami proceedings of the Seventh Conference on Artificial Intelligence Application, Florida, 2003:322~325
50 L Joe, L Roger. Multiple-Vehicle Routing with Time and Capacity Constrains Using Genetic Algorithms. Proceedings of the Fifth International Conference on Genetic Algorithms, Florida, 1998:452~459
51 P Wark, J Holt. A Repeated Matching Heuristic for the Vehicle Routing Prob-lem. Operations Research Society. 1999, (10):1156~1167
52 M. O. Ball, T. L. Magnanti, C. I. Monma et al, eds. Handbooks in Operations Research and management Science. Network Routing. 1999, (8):9~23
53 Paolo Toth and Daniele Vigo. The Vehicle Routing Problem. Society for Indus-trial and Applied Mathematics, Philadephia, USA, 2002:221~223
54 W Herroelen, E Demeulemeester, De Reyck. Resource-Constrained Project Scheduling: A Survey of recent Developments. Computers & Operations Re-search. 1998, (4): 279~302
55 W Herroelen, E Demeulemeester, De Reyck. A Classification Scheme for Pro-ject Scheduling. Boston Kluwer Academic, 1999: 1~26.
56 郭辉煌, 李军. 车辆调度优化. 中国物资出版社. 1994: 12~16
57 汪寿阳, 赵秋红, 夏国平. 集成物流管理系统中定位—运输路线安排问题的研究. 管理科学学报. 2003, (2):69~75
58 祝崇隽, 刘民, 吴澄. 供应链中车辆路径问题的研究进展及前景. 计算机集成制造系统 CIMS. 2001, (11):1~6
59 袁庆达, 杜文, 周再玲. 带软时间窗的混合车队车辆路线问题的模型和算法研究. 西南交通大学学报. 2003, (4):401~406
60 谢秉磊, 李军, 郭辉煌. 动态车辆路径问题:现状与展望.系统工程理论方法应用. 2002, (2):116~120
61 石洪波, 郎茂祥. JD 多车型配送车辆调度问题的模型及其禁忌搜索算法研究. 长沙交通学院学报. 2005, (3):31~36
62 李军, 郭强. 车辆路径问题的改进表上作业法. 西南交通大学学报. 2000, (5):532~534
63 Z Chong-Jun, L.Min, W Cheng, W Xiao-Bing. Two kinds of 2-Pot Algorithm for VRP with Fuzzy Demand. Tien Tzu Hsueh Pso/Acta Electronica Sinica. 2003, (8):1035~1037
64 Jarnbring. Material Flow Cost on Building Site. European Journal of Purchas-ing & Supply Management. 2000, 6(3):169~178
65 Sven Bertelsen, Jorgen Nielsen. Just-In-Time Logistics in the Supply Chain of Building Materials. 1st International Conference on Construction Industry De-velopment: Building the future Together, Singapore, 1997:10~12
66 Jean-Luc Salagnac, Yacine. Logistics: A Step towards Lean Construction. Inter-national Group for Lean Construction IGLC-7, 1999:30~31
67 Ruben Brijhoef, Lauri Koskela. Roles of Supply Chain Management in Con-struction. Proceedings IGLC-7, 1999:135
68 Mads Veiseth, Carl Christian Rostad, Bijorn Anderson. Productivity and Logis-tics in the construction industry learn form stationary industry, 2003:2~3
69 Jan A. Elfving. Improving the delivery process for engineered-to-order product. Journal of Purchasing and Supply Management. 2005, (4):173~181
70 Marry Poppendieck. The Impact of Logistics Innovation on Project Manage-ment. Proceedings of PMI Seminars & Symposium. 2000:8~10
71 Timo Ala-Risku, Mikko K?rkk?inin, Material Delivery Problems in Problems in Construction Projects: A Possible Solution. International Journal of Produc-tion Economics. November 2006, 104(3):19~29
72 Sofia Villagarcia, Fred Borges Da Silva, Francisco Cardoso. Information Flow Optimization as a Way of Improving Building Logistics Performance. 7th Con-ference of the International Group for Lean Construction Proceedings, 1999:26~28
73 Volkhard Franz, Jens H Utsch. Logistic for Building Material Supplier-Methods and Instruments for Controlling. Journal of the American College of Cardiol-ogy, 2002, 39(5):5~12
74 Elisabeth Bergstedt, Irene Linder. Material Flow Study of Sand and Gravel in Sweden. Statistics Sweden. 1999:12~17
75 Hiroyuki Nakamura, Design of Reverse Logistics System with Reverse Whole-sale Business and Reverse Logistics Distribution Center for closed loop Supply Chain in the Construction Industry. 2nd International Symposium on Environ-mentally Conscious Design and Inverse Manufacturing, 2001:696
76 http://doi.ieeecomputersociety.org/10.1109/.2001.992451
77 江伟. 我国建筑业物流管理研究. 建筑经济. 2003, (5):23~25.
78 黄旻舒, 孙舟. 安装企业物流管理的现状和解决方案. 安装. 2002(5):1~3
79 唐爱华. 现代物流思想在施工企业物资管理中的应用. 山西建筑, 2003, 29( 11 ):90~91
80 汪文忠. 建筑企业推行供应链管理势在必行. 中国物资流通. 2002, (4):40~42.
81 袁文雷, 刘涛, 肖绪文. 打造现代建筑企业供应链强化资源整合. 施工技术. 2002, (12): 8~9
82 黄凤文,吴育华,任波,建筑行业实行绿色供应链管理研究, 长春工程学院学报. 2003, (3):33-36
83 田哲, 顾姣健, 建筑企业 ERP 的研究与探讨. 施工企业管理. 2003, (3):28~30
84 程敏,林知炎,余婕. 建筑企业供应链管理中的不确定性研究, 建筑管理现代化. 2003, (1): 16~17
85 祁神军, 陈峰,丁烈云. 建筑施工企业精准物流管理. 价值工程. 2006, (7):114~116
86 李军, 郭辉煌. 物流配送车辆优化调度理论. 中国物资出版社. 2001: 4~10
87 Hokey Min. Location Planning of Airport Facilities Using the Analytic Hierar-chy Process. Logistics and Transportation Review. 2002, (1):30~31
88 Julien Brmel, David Simchi-Levi. The Logistics-Theory, Algorithms and Ap-plication for Logistics Management. New York: Springer-Verlag New York Inc. 1997:22
89 Vaidyanathan Jayaraman. A Multi-Objective Logistics Model for a Capacitated Service Facility Problem. International Journal of Physical Distribution & Lo-gistics Management. 2002, (1):29~30
90 王加林. 物流系统工程. 中国物资出版社. 1987:16-19
91 Geoff. Application of Mathematical Programming-before, now and after. Op-eration Research Society. 1985, (5):347~356
92 李东, 卢晓辉, 费奇, 陈学广. 在大型物流调运系统中建立实际的运输问题模型的研究. 2000, (6):18~22
93 Talluri Srinivasa, R. C Baker. A Multi-phase Mathematical Programming Ap-proach for Effective Supply Chain Design. European Journal of Operation Re-search, 2002, (3): 544~558
94 H. A.Taha, Integer Programming. New York Academic Press. 2002:131
95 Patsiatzis Dimitrios, Papagorgiou Lazaros. Optimal Multi-floor Process Plant Layout. Computers and chemical Engineering. 2002, (4):575~583
96 Shih, Li-hsing. Planning of Fuel Coal Imports Using a Mixed Integer Pro-gramming Method. International Journal of Production Economics. 1997, (3):243~149
97 Gjerdrum Jonatan, Shah Nilay, G Papageorgiou Lzazaros. Fair Transfer Price and Inventory Holding Policies in two-enterprises Supply Chain. European Journal of Operation Research. 2002, (3):582~599
98 Badinelli Ralph. Concurrent 0ptimization in Designing for Logistics Support. European Journal of Operational Research. 1999, 115(1):77~97
99 Geu Kevin R. A Dynamic Distribution Model for Combat Logistics. Computers and Operation Research. 2003, (3):367~381
100 M. Hatch. Concurrent Optimization Methodology for Concurrent Engineering. Engineering Management. 1999, 115(1):77~79
101 Geoff L. Application of Mathematical Programming-before, now and after. Op-eration Research Society, 1995, (5):347~356
102 Ralphs T., K. Parallel Broach and Cut for Capacitated Vehicle Routing. Paralle Computing. 2003, (5):707~629
103 Klein Robert. Scholl Armin. Maximizing the Production Rate in Simple As-sembly Line Balancing-A Branch and Bound Procedure. European Journal of Operation Research. 1996, (2): 367~385
104 吴青一. 物流学. 中国建材工业出版社. 1998: 3~5
105 Vaidyanathan Janaraman. Transportation, Facility Location and Inventory in Distribution Network Design-An Investigation. International Journal of Opera-tional & Production Management. 1998, (5):18
106 John D Reid, Dean L Sicking and Gene W Paulsen. Design and Analysis of Ap-proach Terminal Sections Using Simultion. Journal of Transportation Engineer-ing. 1996, (5):122
107 Garland Chow, Trevor D Heaver and Lennart E Henriksson. Strategy, Structure and Performance: A Framework for Logistics Research. The Logistics andTransportation Review. 2000, 31(4):285~307
108 James Stock. Marketing Intelligence & Planning. International Journal of Physical Distribution and Logistics Management. 1990, (5):8~9
109 R D Buzzel and G. Ortemeyer. Channel Partnerships Streamline Distribution. MIT Sloan Management Review. 1998, (8):36
110 王莉. 物流学导论. 中国铁道出版社. 1997:2-10
111 Carlos F Daganzo. Logistics System Analysis. Third Edition New York, Springer-Verlag. 1999:46~50
112 Bae H M. Process Flow Modeling and Analysis: A Practitioner’s Approach. In-dustrial Engineering. 2003, (6):11~12
113 Gregory L Schlegel. Supply Chain Optimization: A Practitioner’s Perspective on the Next Logistics Breakthrough. Hospital Material Management Quarterly. 2000, (8):26~30
114 Jalia Marshall. Improving the Transport Chain. Cargo System. 1998, (11):86
115 Sait S. M., Youseef H., Iterative Computer Algorithms with Application in En-gineering. IEEE Computer Society, Los Alamios, 1999:101~103
116 Haykin S. Neural network-A Comprehensive Foundation. Macmaillan College Publishing Company. 1999:85~86
117 Foo Y. S. Takefuji Y. Stochastic Neural Networks for Solving Job-shop Sched-uling. Problem Representation. IEEE International Conference on Neural Net-works, San Diego, 1998: 203~206
118 Garetti M., Taisch M. Advance Computing Techniques in Production Planning and Control. Production Planning and Control 1999, (4):01~304
119 U. R.Kulkarni, M.Y.Kiang. Dynamic Grouping of Parts in Flexible Manufactur-ing Systems-A self-organizing Neural Networks Approach. European Journal of Operation Research. 2003, (3):629~645
120 Jayaraman Vaidyanathan, Ross Anthony. A Simulated Annealing Methodology to Distribution Network Design and Management. European Journal of Opera-tional Research. 2003, (3):603~615
121 Y Li, Wang D, A semi-infinite Programming Model for Earliness/Tardiness Production Planning with Simulated Annealing. Mathematical and Computer Modeling. 1997, (7):35~42
122 李岩, 吴智铭. 一种混合 GA、SA 和启发式规则的 FMS 调度方法. 上海交通大学学报.1999, (1):129~132
123 Glover F. Tabu Search: Part Ⅰ . ORSA Journal on computing. 1999, (3):190~206
124 M.Widme, A.Hertz. New Heuristic Method for the Flow Shop Sequencing Problem. European Journal of Operation Research. 1999, (2):186~193
125 K. S.Hindi. Solving the CLSP by a Tuba Search Heuristic. Journal of the Op-erational Research Society. 1996, (4):151~161
126 刘丹杰. 遗传算法的编码研究.甘肃科技, 2004, (6):136~137
127 董颖, 刘欢杰. 一种基于实数编码的改进遗传算法. 东北大学学报(自然科学版). 2005,(4):199~221
128 张晋, 李东黎, 李平. 遗传算法编码机制的比较研究. 中国矿产大学学报. 2002,(6): 37~40
129 雷德明. 多维实数编码遗传算法. 控制与决策. 2000, (2):239~241
130 刘建斌 . 建筑材料集中采购管理模式研究与实现 . 施工技术 .2005, (2):40~41
131 郑武. 商品混凝土调度. 建筑经济. 2006, (2):22~23
© 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 |