期刊文献+

资源布局可变条件下的开放车间柔性制造单元构建技术研究 被引量:4

A Flexible Manufacturing Cell Formation Approach for the Open Shop with Changeable Resources Layout
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摘要 单元制造是在当今小批量、多品种的生产环境下的提高生产柔性和效率的一种有效手段。在单元制造的基础上,提出了一种融合物理制造单元和逻辑制造单元的柔性单元构建方法,并建立了相应的混合整数规划模型。通过在物理制造单元与逻辑制造单元设计思想之间寻求折衷来提高系统的柔性并减少制造成本。在模型设计中,考虑了制造资源布局、加工路径选择以及加工批量设置问题。以最小化加工成本、加工车间之间和之内的运输成本、跨单元操作成本和机器移动成本为目标,通过将制造资源重新布局在给定的加工地点(加工车间),形成若干敏捷柔性制造单元。数值实验结果表明了的这一设计思路的有效性。 Cell manufacturing (CM) is an approach that can be used to enhance both flexibility and efficiency in today' s small lot and multi-type production environment. Based on CM, in order to enhance the fle^dbility of the manufacturing system and reduce manufacturing cost, a mixed integer programming model integrating the thought of physical manufacturing cell (PMC) and logical manufacturing cell (LMC) is proposed. Aimed at minimizing the total manufacturing cost including processing cost, the inter- and intra-jobshop material handling cost, the inter-cell operating cost and the machine relocation cost, the design of flexible manufacturing cell (FMC) model mainly considers three factors : machine layout, routing and production lot sizing. Several agile flexible manufacturing eells are formed by reconfiguring machines to jobshops and manufacturing cells. The correctness and validity of the proposed approach are proved by computational results.
作者 牛力
出处 《科学技术与工程》 2011年第25期6054-6059,6064,共7页 Science Technology and Engineering
基金 国家自然科学基金资助项目(71071008,70771003,70821061) 中国人民大学科学研究基金(中央高校基本科研业务费专项资金)项目成果(10XNF092)资助
关键词 柔性制造单元 单元构建 开放车间 批量设置 混合整数规划 flexible manufacturing cell cell formation open shop lot sizing mixed integer programming
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参考文献10

  • 1Selim M S, Askin R G, Vakharia A J. Cell formation in group tech- nology : review evaluation and directions for future research. Comput- ers and Industrial Engineering, 1998 ;34( 1 ) :3-20.
  • 2Naua S, Divakar R. Cellular manufacturing systems design, planning and control. London: Chapman & Hall, 1996.
  • 3于洋,查建中,牟建斌.单元制造技术及其实施方法[J].制造业自动化,2001,23(3):4-6. 被引量:4
  • 4Papaioannou G, Wilson J M. The evolution of cell formation problem methodologies based on recent studies ( 1997-2008 ) : Review and directions for future research. European Journal of Operational Re- search (2009). doi:10. 1016/i. ejor. 2009-10-020.
  • 5帅旗,陈耀军,杨莹.敏捷制造系统单元建模与优化研究现状综述[J].机电工程,2008,25(5):29-31. 被引量:2
  • 6Flynn B B, Jacobs F R. Applications and implementation: an experi- mental comparison of cellular (croup technology) layout with process layout. Decision Sciences, 1987 ; 15:562-581.
  • 7Mehrez A, Rabinowitz G, Reisman A. A conceptual scheme of knowledge systems for MS/OR. OMEGA: International Journal of Management Science, 1988 ; 16(5) :421-428.
  • 8Defersha M F, Chen Mingyuan. A linear programming embedded ge- netic algorithm for an integrated cell formation and lot sizing consider- ing product quality. European Journal of Operational Research ,2008 ; 187:46-49.
  • 9Wu Xiaodan, Chu Chaohsien, Wang Yunfeng, et al. A genetic algo- rithm for cellular manufacturing design and layout. European Journal of Operational Research, 2007 ; 181 : 156-167.
  • 10王志亮,张友良,汪惠芬.敏捷制造模式下制造单元重构技术研究[J].计算机集成制造系统,2004,10(7):727-731. 被引量:9

二级参考文献34

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同被引文献32

  • 1宋承亮.航天军工产品生产线建设项目中可重构制造系统的实现[J].航天制造技术,2009(1):53-57. 被引量:1
  • 2李杰,王云峰,朱昭贤,徐勇.基于模糊技术的制造单元构建方法研究[J].计算机集成制造系统,2004,10(12):1561-1566. 被引量:11
  • 3金锋,吴澄.大规模生产调度问题的研究现状与展望[J].计算机集成制造系统,2006,12(2):161-168. 被引量:34
  • 4Jeon G, Leep H R. Forming part families by using genetic algorithm and designing machine cells under demand change. Computers & Op- erations Research, 2006 ; 33:263-283.
  • 5Niu Li, Han Xiaoting. A decomposition method to solve the large- scale scheduling problems based on cellular manufacturing technolo- gy. Proceedings of the 2nd International Conference on Artificial In- teUigence, Management Science and Electronic Commerce. Zheng- zhou, China:2011 : 2703-2706.
  • 6Giffler B, Thompson G L. Algorithms for solving production schedu- ling problems. Operations Research, 1960; 8(4) : 487-503.
  • 7Ramesh R, Cary J M. An efficient approach to stochastic jobshop scheduling: algorithms and empirical investigations. Computers Ind Engng, 1990; 15(2):181-190.
  • 8Naua S,Divakar R.Cellular manufacturing systems design, planning and control[M].London:Chapman & Ha11,1996.
  • 9Wu Xiaodan, Chu Chaohsien, Wang Yunfeng, et al.A genetic algorithm for cellular manufacturing design and layout[J]. European Journal of Operational Research, 2007, 181 (i) : 156-167.
  • 10Li Xiangyong, Baki M F, Aneja Y P.An ant colony optimi- zation metaheuristic for machine--part cell formation prob- lems[J].Computers & Operations Research, 2010, 37(12):2071-2081.

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