集成化生产计划管理与控制模型

摘要/Abstract

摘要： 通过分析、比较制造资源计划、准时化生产、约束理论3种生产管理思想的优缺点和适用性，并根据生产计划与控制的不同层次需求，将制造资源计划、准时化生产、约束理论三者加以融合，提出了一种新的生产管理方法——MTJ，并在其指导下构建了生产计划管理与控制模型。在此模型中，制造资源计划定位在厂级或企业级，负责主生产计划、物料需求计划及各车间零部件的月、周计划；约束理论定位在车间级，负责车间或工段工序的日作业计划与调度、物料的投放；准时化生产定位在生产现场，负责作业计划的执行、生产的控制和现场的反馈。对本模型的运作逻辑以及本模型如何利用制造资源计划、准时化生产、约束理论三者的优点和规避其缺点进行了讨论。

关键词: 生产计划与控制, 约束理论, 制造资源计划, 准时化生产, 集成

Abstract: After analysis and comparison between Manufacture Resource Planning (MRPⅡ), Just in Time (JIT) and Theory of Constraints (TOC) with regard to their advantages, disadvantages and feasibility, a new production management method namely MTJ was proposed through combination of MRPⅡ, TOC and JIT based on different requirements from levels of production planning management and control. Production planning management and control model was constructed by this method. With this model, MRPⅡ was oriented to enterprise level taking charge of Master Production Schedule(MPS), Material Requirement Planning(MRP), and monthly/weekly component parts planning on various workshops. TOC was oriented to workshop level taking charge of daily production planning and scheduling and order release on job shop. JIT was oriented to production field level taking charge of planning execution, production control and manufacturing state feedback. Finally, the operation logic of the model was described, and how to learn from the three theories strong points to offset ones weakness for MTJ was analyzed.

Key words: production planning and control, theory of constraint, manufacture resource planning, just in time

中图分类号:

TH166

王军强，孙树栋，余建军，孙强. 集成化生产计划管理与控制模型[J]. .

WANG Jun-qiang, SUN Shu-dong, YU Jian-jun, SUN Qiang. Integrated production planning management & control model[J]. .

参考文献

［1］ RONDEAU P J, LITTERAL L A. Evolution of manufacturing planning and control systems: from reorder point to enterprise resource planning［J］.Production and Inventory Management Journal,2001,42(2):1-7.

[2] GOLHAR D Y, STAMM C L. The Just-in-time philosophy: a literature review ［J］. International Journal of Production Research, 1991,29(4):657-676.

[3] GOLDRATT E M. Computerized shop floor scheduling［J］.International Journal of Production Research,1988,26(3): 43-55.

[4] PTAK C A.MRP, MRPⅡ, OPT, JIT and CIM - succession, evolution, or necessary combination ［J］. Production and Inventory Management Journal,1991,32(2):7-11.

[5] ZHANG Yu, ZHANG Yukun. The introduce comments of advanced production management methods from abroad for China’s enterprises ［J］. Mechanical Manufacturing,1999,(9):43-44(in Chinese).［张煜,张玉坤.中国引进先进生产管理方法现状与思考［J］.机械制造,1999,(9):43-44.］

[6] PLENERT G, BEST T D. MRP, JIT and OPT: What’s "best"? ［J］. Production and Inventory Management,1986,27(2):22-29.

[7] COOK D P. A Simulation comparison of traditional, JIT, and TOC manufacturing system in a flow shop with bottlenecks［J］. Production and Inventory Management Journal, 1994，35(1):73-78.

[8] TAYLOR L J Ⅲ.A simulation study of WIP inventory drive systems and their effect on financial measurements［J］.Integrated Manufacturing Systems,1999,10(5):306-315.

[9] YANRADEE P. Application of optimized production technology in a capacity constrained flow shop: a case study in a battery factory［J］.Computers Industrial Engineering,1994,27(1-4):217-220.

[10] ZHANG Zongmao,YE Feifan.A comparative study of MRP system and JIT system［J］.Industrial Engineering and Management,1998,3(3):43-47(in Chinese).［张宗茂,叶飞帆.MRP和JIT两种生产管理系统的比较研究［J］.工业工程与管理,1998,3(3):43-47.］

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