摘 要
制造資源數(shù)據(jù)庫(kù)是企業(yè)計(jì)劃管理系統(tǒng)的基礎(chǔ)，國(guó)內(nèi)對(duì)于制造計(jì)劃管理系統(tǒng)都有大量的研究，其中也不可避免的涉及到制造資源，但并沒有系統(tǒng)的、完整的闡述制造資源的分類及統(tǒng)計(jì)方法。本文研究的制造資源數(shù)據(jù)庫(kù)旨在統(tǒng)計(jì)船舶制造企業(yè)自身資源的數(shù)量、生產(chǎn)能力，為企業(yè)計(jì)劃的編制提供現(xiàn)實(shí)數(shù)據(jù)支持，提高計(jì)劃的實(shí)施效率，使得企業(yè)的生產(chǎn)能力得到充分發(fā)揮、生產(chǎn)成本得到切實(shí)有效的控制，企業(yè)計(jì)劃管理系統(tǒng)能夠編制及時(shí)、有效、可行的生產(chǎn)計(jì)劃，從而理順整個(gè)企業(yè)的生產(chǎn)流程，提高企業(yè)的信息化管理水平，適應(yīng)精益造船模式對(duì)精益求精的要求。據(jù)此，本文對(duì)船舶制造企業(yè)的制造資源進(jìn)行分類量化以及據(jù)此進(jìn)行計(jì)劃負(fù)荷進(jìn)行了詳細(xì)的研究。主要研究?jī)?nèi)容與成果包括：
(1)根據(jù)精益造船的要求，在闡述了以中間產(chǎn)品為導(dǎo)向的生產(chǎn)計(jì)劃管理體系的內(nèi)容特點(diǎn)、生產(chǎn)屬性的分類量化以及實(shí)施的基礎(chǔ)理論成組技術(shù)及任務(wù)包的定義。
(2)以船體建造的生產(chǎn)階段為基礎(chǔ)，闡述了制造資源的定義，分析各個(gè)不同制造階段所需要的主要制造資源。研究了不同制造資源的生產(chǎn)能力以及對(duì)其生產(chǎn)能力進(jìn)行分類量化的標(biāo)準(zhǔn)。并詳細(xì)闡述了船舶制造資源的特點(diǎn)：復(fù)雜性和不確定性。
(3)確立利用工時(shí)/物量的關(guān)系來確定人員的配置。對(duì)中間產(chǎn)品管理量進(jìn)行了描述，確立不同加工階段不同的管理量，以典型物量——焊接長(zhǎng)度、裝配長(zhǎng)度為例，結(jié)合背景船廠的實(shí)際，確定了工時(shí)的統(tǒng)計(jì)路徑和方法，使工時(shí)的統(tǒng)計(jì)更加細(xì)化，更便于管理，能詳細(xì)知道每個(gè)階段、每個(gè)產(chǎn)品、每個(gè)工位的工時(shí)情況。采用多項(xiàng)式回歸分析法結(jié)合MATLAB對(duì)幾種典型中間產(chǎn)品的工時(shí)/物量之間的關(guān)系進(jìn)行擬合，并通過相互之間的關(guān)系，根據(jù)TRIBON提供的焊接長(zhǎng)度確定同一類型新船的工時(shí)并對(duì)不同的任務(wù)包所需要的工時(shí)進(jìn)行分配。
(4)詳細(xì)介紹了不同制造階段工序計(jì)劃的特點(diǎn)、內(nèi)容，建立制造資源數(shù)據(jù)庫(kù)，進(jìn)行了相應(yīng)的需求分析、概念設(shè)計(jì)的分析，最后以內(nèi)業(yè)階段零件加工為例，驗(yàn)證了該數(shù)據(jù)庫(kù)的可行性，為該道工序的及時(shí)完成，為后道工序的生產(chǎn)提供了及時(shí)可靠的產(chǎn)品。
論文的研究對(duì)于國(guó)內(nèi)一些船廠在對(duì)制造資源進(jìn)行研究時(shí)有一定的指導(dǎo)意義，對(duì)提高計(jì)劃的實(shí)施效率，實(shí)現(xiàn)準(zhǔn)時(shí)生產(chǎn)、縮短造船周期有一定的促進(jìn)作用。

關(guān)鍵詞： 精益造船；制造資源；工時(shí)/物量；數(shù)據(jù)庫(kù)；工序計(jì)劃負(fù)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..