基于精益造船制造资源.doc
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基于精益造船制造资源,摘 要制造资源数据库是企业计划管理系统的基础，国内对于制造计划管理系统都有大量的研究，其中也不可避免的涉及到制造资源，但并没有系统的、完整的阐述制造资源的分类及统计方法。本文研究的制造资源数据库旨在统计船舶制造企业自身资源的数量、生产能力，为企业计划的编制提供现实数据支持，提高计划的实施效率，使得企业的生产能力得到充分...
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摘 要
制造资源数据库是企业计划管理系统的基础，国内对于制造计划管理系统都有大量的研究，其中也不可避免的涉及到制造资源，但并没有系统的、完整的阐述制造资源的分类及统计方法。本文研究的制造资源数据库旨在统计船舶制造企业自身资源的数量、生产能力，为企业计划的编制提供现实数据支持，提高计划的实施效率，使得企业的生产能力得到充分发挥、生产成本得到切实有效的控制，企业计划管理系统能够编制及时、有效、可行的生产计划，从而理顺整个企业的生产流程，提高企业的信息化管理水平，适应精益造船模式对精益求精的要求。据此，本文对船舶制造企业的制造资源进行分类量化以及据此进行计划负荷进行了详细的研究。主要研究内容与成果包括：
(1)根据精益造船的要求，在阐述了以中间产品为导向的生产计划管理体系的内容特点、生产属性的分类量化以及实施的基础理论成组技术及任务包的定义。
(2)以船体建造的生产阶段为基础，阐述了制造资源的定义，分析各个不同制造阶段所需要的主要制造资源。研究了不同制造资源的生产能力以及对其生产能力进行分类量化的标准。并详细阐述了船舶制造资源的特点：复杂性和不确定性。
(3)确立利用工时/物量的关系来确定人员的配置。对中间产品管理量进行了描述，确立不同加工阶段不同的管理量，以典型物量——焊接长度、装配长度为例，结合背景船厂的实际，确定了工时的统计路径和方法，使工时的统计更加细化，更便于管理，能详细知道每个阶段、每个产品、每个工位的工时情况。采用多项式回归分析法结合MATLAB对几种典型中间产品的工时/物量之间的关系进行拟合，并通过相互之间的关系，根据TRIBON提供的焊接长度确定同一类型新船的工时并对不同的任务包所需要的工时进行分配。
(4)详细介绍了不同制造阶段工序计划的特点、内容，建立制造资源数据库，进行了相应的需求分析、概念设计的分析，最后以内业阶段零件加工为例，验证了该数据库的可行性，为该道工序的及时完成，为后道工序的生产提供了及时可靠的产品。
论文的研究对于国内一些船厂在对制造资源进行研究时有一定的指导意义，对提高计划的实施效率，实现准时生产、缩短造船周期有一定的促进作用。
关键词： 精益造船；制造资源；工时/物量；数据库；工序计划负荷
Abstract
Manufacturing resource database is the basis for enterprise project management systems, project management systems for the domestic manufacturing has a lot of research, which also inevitably involves the manufacturing resources, but no systematic and complete exposition of the classification of manufacturing resources and statistical methods. In this paper, the manufacturing resource database was designed to manufacturers ship their own statistics the number of resources, production capacity, for the preparation of business plans to provide real data to support and improve the efficiency of implementation of the plan, making the company's full production capacity, production costs have been effectively control, enterprise project management system to prepare timely, effective and feasible production plan, which streamline the production processes across the enterprise, and improving the information management level, to adapt to Lean Shipbuilding model of excellence requirement. Accordingly, this article on shipbuilding companies to quantify and classify manufacturing resources to plan accordingly carried out a detailed study of the load. The main contents and achievements include
1. According to Lean Shipbuilding's request, explained to the intermediate product-oriented production planning content management system features, the classification of production attributes and the implementation of the basic theory of quantitative group technology.
2. To the production stage of ship construction, based on the definition of production resources described, analysis of the various manufacturing stages of the main production resources required. The effects of different manufacturing resources, production capacity and its capacity to classify quantitative criteria. And elaborates on the characteristics of shipbuilding resources: complexity and uncertainty.
3. Of manufacturing resources in a special class of resources - human resources, classification description, established the use of work / volume relationship to determine staffing. The amount of intermediate product management are described, establishing different management in different stages of processing capacity, the typical volume - weld length, the length of the assembly, for example, the actual shipyard in context to determine the working hours of the path and statistical methods to make working hours statistics more refined, more manageable, to know the details of each stage of each product, the working hours of each station. Using polynomial regression analysis with MATLAB for several typical intermediate products work / volume relationship between the fitting and through the mutual relations, according to the welding TRIBON provide new vessels to determine the length of working hours and different distribution station for hours
4. Establish a manufacturing resource database, analysis of the basic structure of the database data files and databases major, and accordingly the requirements analysis, conceptual design analysis, and finally within the industry as an example to verify the feasibility of th..
制造资源数据库是企业计划管理系统的基础，国内对于制造计划管理系统都有大量的研究，其中也不可避免的涉及到制造资源，但并没有系统的、完整的阐述制造资源的分类及统计方法。本文研究的制造资源数据库旨在统计船舶制造企业自身资源的数量、生产能力，为企业计划的编制提供现实数据支持，提高计划的实施效率，使得企业的生产能力得到充分发挥、生产成本得到切实有效的控制，企业计划管理系统能够编制及时、有效、可行的生产计划，从而理顺整个企业的生产流程，提高企业的信息化管理水平，适应精益造船模式对精益求精的要求。据此，本文对船舶制造企业的制造资源进行分类量化以及据此进行计划负荷进行了详细的研究。主要研究内容与成果包括：
(1)根据精益造船的要求，在阐述了以中间产品为导向的生产计划管理体系的内容特点、生产属性的分类量化以及实施的基础理论成组技术及任务包的定义。
(2)以船体建造的生产阶段为基础，阐述了制造资源的定义，分析各个不同制造阶段所需要的主要制造资源。研究了不同制造资源的生产能力以及对其生产能力进行分类量化的标准。并详细阐述了船舶制造资源的特点：复杂性和不确定性。
(3)确立利用工时/物量的关系来确定人员的配置。对中间产品管理量进行了描述，确立不同加工阶段不同的管理量，以典型物量——焊接长度、装配长度为例，结合背景船厂的实际，确定了工时的统计路径和方法，使工时的统计更加细化，更便于管理，能详细知道每个阶段、每个产品、每个工位的工时情况。采用多项式回归分析法结合MATLAB对几种典型中间产品的工时/物量之间的关系进行拟合，并通过相互之间的关系，根据TRIBON提供的焊接长度确定同一类型新船的工时并对不同的任务包所需要的工时进行分配。
(4)详细介绍了不同制造阶段工序计划的特点、内容，建立制造资源数据库，进行了相应的需求分析、概念设计的分析，最后以内业阶段零件加工为例，验证了该数据库的可行性，为该道工序的及时完成，为后道工序的生产提供了及时可靠的产品。
论文的研究对于国内一些船厂在对制造资源进行研究时有一定的指导意义，对提高计划的实施效率，实现准时生产、缩短造船周期有一定的促进作用。
关键词： 精益造船；制造资源；工时/物量；数据库；工序计划负荷
Abstract
Manufacturing resource database is the basis for enterprise project management systems, project management systems for the domestic manufacturing has a lot of research, which also inevitably involves the manufacturing resources, but no systematic and complete exposition of the classification of manufacturing resources and statistical methods. In this paper, the manufacturing resource database was designed to manufacturers ship their own statistics the number of resources, production capacity, for the preparation of business plans to provide real data to support and improve the efficiency of implementation of the plan, making the company's full production capacity, production costs have been effectively control, enterprise project management system to prepare timely, effective and feasible production plan, which streamline the production processes across the enterprise, and improving the information management level, to adapt to Lean Shipbuilding model of excellence requirement. Accordingly, this article on shipbuilding companies to quantify and classify manufacturing resources to plan accordingly carried out a detailed study of the load. The main contents and achievements include
1. According to Lean Shipbuilding's request, explained to the intermediate product-oriented production planning content management system features, the classification of production attributes and the implementation of the basic theory of quantitative group technology.
2. To the production stage of ship construction, based on the definition of production resources described, analysis of the various manufacturing stages of the main production resources required. The effects of different manufacturing resources, production capacity and its capacity to classify quantitative criteria. And elaborates on the characteristics of shipbuilding resources: complexity and uncertainty.
3. Of manufacturing resources in a special class of resources - human resources, classification description, established the use of work / volume relationship to determine staffing. The amount of intermediate product management are described, establishing different management in different stages of processing capacity, the typical volume - weld length, the length of the assembly, for example, the actual shipyard in context to determine the working hours of the path and statistical methods to make working hours statistics more refined, more manageable, to know the details of each stage of each product, the working hours of each station. Using polynomial regression analysis with MATLAB for several typical intermediate products work / volume relationship between the fitting and through the mutual relations, according to the welding TRIBON provide new vessels to determine the length of working hours and different distribution station for hours
4. Establish a manufacturing resource database, analysis of the basic structure of the database data files and databases major, and accordingly the requirements analysis, conceptual design analysis, and finally within the industry as an example to verify the feasibility of th..
