我国现代化煤矿设备管理及其信息系统建设研究
摘要
设备信息管理已成为现代企业管理的一个重要组成部分,尤其是对于拥有设备多价值大的煤炭企业,设备信息管理意义更显深远。然而,我国煤炭企业长期采用物、帐、卡手工模式来实现设备信息的管理,造成数据采集周期长、过程繁琐、出错率高,不能准确及时地反映设备现状,从而给企业的经营生产带来不利影响。因此,建设煤矿设备管理信息系统,设计合理的信息采集流程和灵活高效的查询统计功能,保证数据完整准确,提高人员工作效率是本文研究的主要目的。
在具体分析煤矿设备管理需求的基础上,参考现代设备管理的先进理论,设计并实现了煤矿设备管理信息系统。
首先,在对设备管理业务进行详细调研的基础上,分析了企业设备管理的现状和用户需求,对系统所需的功能及业务实现流程进行了总体设计,给出了系统功能表和流程图,并作了相应解释。
其次,详细规划并阐述系统各功能模块所包含的子模块及其实现流程。介绍了本系统建设实用的方法和技术路线。
设计了系统数据库中表的关系图以及数据字典,并简要介绍了系统采用的企业级数据产品SQL SERVER 2000。
Equipment information management has become an important component of the modern enterprise management .Especially for coal enterprises with more high-value equipments, equipment information management means more far-reaching significance. However, coal enterprises in our country, has been used to manager the equipment information by filling many card in order to ensure the equality of objects and account. It result in a long cycle of data acquisition, tedious process, the risk of errors, not accurate and timely reflection of the status of equipment so as to a adverse impact of the production and business of enterprises. Therefore, to develop a coal mine equipment Management Information System(MIS) with the reasonable design of information collection processes,the efficient and flexible statistical function,ensuring that data is complete and accurate and improving personnel efficiency is the main purpose of this paper.
In this paper, on the base of detailed analysis the needs of a mine about equipment management ,adopting modern management theory, the author design and realization the coal mine equipment MIS.
First, on the basis of the detailed investigation on equipment management business, the status quo in equipment management and user demand have been analyzed .The function of systems and business processes to achieve the system have been designed .A function table and a flow charts were given with accordingly explained.
Secondly, the author elaborated on the smaller function modules which was contained in every system module and implementation process. The author gave a briefing on the system methods and technologies.
At last, the author designed the system tables diagram and data dictionary,and gave a briefing on the enterprise-class data products- SQL SERVER 2000.
在具体分析煤矿设备管理需求的基础上,参考现代设备管理的先进理论,设计并实现了煤矿设备管理信息系统。
首先,在对设备管理业务进行详细调研的基础上,分析了企业设备管理的现状和用户需求,对系统所需的功能及业务实现流程进行了总体设计,给出了系统功能表和流程图,并作了相应解释。
其次,详细规划并阐述系统各功能模块所包含的子模块及其实现流程。介绍了本系统建设实用的方法和技术路线。
设计了系统数据库中表的关系图以及数据字典,并简要介绍了系统采用的企业级数据产品SQL SERVER 2000。
Equipment information management has become an important component of the modern enterprise management .Especially for coal enterprises with more high-value equipments, equipment information management means more far-reaching significance. However, coal enterprises in our country, has been used to manager the equipment information by filling many card in order to ensure the equality of objects and account. It result in a long cycle of data acquisition, tedious process, the risk of errors, not accurate and timely reflection of the status of equipment so as to a adverse impact of the production and business of enterprises. Therefore, to develop a coal mine equipment Management Information System(MIS) with the reasonable design of information collection processes,the efficient and flexible statistical function,ensuring that data is complete and accurate and improving personnel efficiency is the main purpose of this paper.
In this paper, on the base of detailed analysis the needs of a mine about equipment management ,adopting modern management theory, the author design and realization the coal mine equipment MIS.
First, on the basis of the detailed investigation on equipment management business, the status quo in equipment management and user demand have been analyzed .The function of systems and business processes to achieve the system have been designed .A function table and a flow charts were given with accordingly explained.
Secondly, the author elaborated on the smaller function modules which was contained in every system module and implementation process. The author gave a briefing on the system methods and technologies.
At last, the author designed the system tables diagram and data dictionary,and gave a briefing on the enterprise-class data products- SQL SERVER 2000.
引文
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[23]徐扬光.设备工程与管理[M].上海:华东理工大学出版社,1999:21-26.
[24]李德源,杨华龙.现代设备经济管理[M].北京:人民交通出版社,2000:3-6.
[25]刘林祥.工业企业设备管理[M].北京:清华大学出版社,1992:17-19.
[26]俞明楠,王东华,蒋贵善等.生产运作与管理[M].大连理工大学出版社,1998: 132-137.
[27]史国庆.充矿集团综机设备管理模式研究,[D],山东科技大学,2004.
[28]马清海,曾凡臣.关于国有煤矿设备管理的几点探讨[J].北方经贸,2001(3) :204-205.
[29] http://www.maintenanceresources.com/ReferenceLibrary/OilAnalysis/oa-what.htm
[30] R. Dekker, M.J. Kleijn, P.J. de Rooij.A spare parts stocking policy based on equipment criticality[J]. International journal of production economics. 1998, 56:69-77.
[31] Angel Diaz, Michael C.Fu. Models for multi-echelon repairable item inventory systems with limited repair capacity[J]. European Journal of Operational Research, 1997, 97:492-780.
[32] Takeshi Shibuya, Tadashi Dohi, Shunji Osaki. Optimal continuous review policies for spare part provisioning with random lead times[J]. Production Economics, 1998, 55: 257-271.
[33] D.Heeremants, L.F. Gelders. Multiple period repair kit problem with a job completion criterion: A case study [J]. European Journal of Operational Research, 1995, 81:239-248.
[34] Koen Cobbaert, Dirk Van Oudheusden. Inventory models for fast moving spare parts subject to "sudden death" obsolescence [J]. Production Ecomonocs, 1996, 44:239-248.
[35] K. Rajashree Kamath , T.P.M. Pakkala. A Bayesian approach to a dynamic inventory model under an unknown demand distribution [J]. Computer & Operation Research. 2002, 29: 403-422.
[36] Ruud H. Teunter, Leonard Fortuin. End-of-life service: A case study [J]. European Journal of Operational esearch, 1998, 107:19-34.
[2]戈猛.维护管理中维护方式选择与维护能力评估研究[D].天津大学博士学位论文,2007.
[3]高谋荣.基于模糊层次分析法的汽车维修服务评价[J].深圳职业技术学院学报,2006(4):23-26.
[4]赵学锋,张金隆,蔡淑琴.模糊多属性决策的维修服务质量评价[J].工业工程与管理,2003(5):7-11.
[5]孙华昕,梁工谦,程培培.装备维修质量指标评价及质量改进模型研究[J].现代制造工程,2005(6):104-107.
[6]么树熹.基于DEA方法的武器装备保障效率研究[J].管理与探索,2007(4):33-35.
[7]廖武,陈云翔,孟飙.基于DEA的装备费效分析[J].计算机工程与应用.2007,43 (9):219-222.
[8]辛文鹏,龚时雨.基于DEA和神经网络的装备维修保障资源优化配置[C].2007年全国机械可靠性学术交流会论文集,2007.
[9]任祥君.矿山设备效率的模糊评价数学模型[J].中国钼业,2004(3):37-38.
[10]沈波,陈维奇.备品备件资金管理亟待改善[J].辽宁财税,1999(12):18.
[11]唐锦凤.强化备件管理的实践[J].矿业研究与开发.2002,22(3):42-43.
[12]寿古.宝钢、首钢、上海一钢、三钢备件管理经验[J].中国设备工程,1997(3):16-17.
[13]汪平山.浅谈备件管理的作用及如何强化备件管理[J].南方钢铁,1999(2):48-49.
[14]王文军.德国企业备件的经济性管理[J].中国设备工程,2002(6):54-56.
[15]金锡万,包菊芳,方承武等.备件库存ABC分类法研究[J].华东冶金学院学报,1997,14(1):60-64.
[16]梁广涛,王大虹.备件库存分类方法探讨[J].建设机械技术与管理,1999(5):28-29.
[17]戴德宝,赵敏.备件联合库存模式研究[J].科技与管理,2004(4):66-68.
[18]朱永刚.基于J2EE的备品备件管理软件研究与应用[D].浙江大学硕士学位论文,2005.
[19]欧阳卫民.中国金融租赁业的现状和出路[M].北京:中国金融出版社,2000.
[20]史国庆.煤炭系统设备租赁模式研究[J].煤矿现代化,2003(6):33-35.
[21]童磊,王立杰.矿山设备租赁的租金计算[J].中国矿业,2002,11(5):22-23.
[22]王成钢,王晓东.基于WEB的设备租赁及综合配件管理系统的设计与实现[J].煤矿自动化,2000(3):8-9.
[23]徐扬光.设备工程与管理[M].上海:华东理工大学出版社,1999:21-26.
[24]李德源,杨华龙.现代设备经济管理[M].北京:人民交通出版社,2000:3-6.
[25]刘林祥.工业企业设备管理[M].北京:清华大学出版社,1992:17-19.
[26]俞明楠,王东华,蒋贵善等.生产运作与管理[M].大连理工大学出版社,1998: 132-137.
[27]史国庆.充矿集团综机设备管理模式研究,[D],山东科技大学,2004.
[28]马清海,曾凡臣.关于国有煤矿设备管理的几点探讨[J].北方经贸,2001(3) :204-205.
[29] http://www.maintenanceresources.com/ReferenceLibrary/OilAnalysis/oa-what.htm
[30] R. Dekker, M.J. Kleijn, P.J. de Rooij.A spare parts stocking policy based on equipment criticality[J]. International journal of production economics. 1998, 56:69-77.
[31] Angel Diaz, Michael C.Fu. Models for multi-echelon repairable item inventory systems with limited repair capacity[J]. European Journal of Operational Research, 1997, 97:492-780.
[32] Takeshi Shibuya, Tadashi Dohi, Shunji Osaki. Optimal continuous review policies for spare part provisioning with random lead times[J]. Production Economics, 1998, 55: 257-271.
[33] D.Heeremants, L.F. Gelders. Multiple period repair kit problem with a job completion criterion: A case study [J]. European Journal of Operational Research, 1995, 81:239-248.
[34] Koen Cobbaert, Dirk Van Oudheusden. Inventory models for fast moving spare parts subject to "sudden death" obsolescence [J]. Production Ecomonocs, 1996, 44:239-248.
[35] K. Rajashree Kamath , T.P.M. Pakkala. A Bayesian approach to a dynamic inventory model under an unknown demand distribution [J]. Computer & Operation Research. 2002, 29: 403-422.
[36] Ruud H. Teunter, Leonard Fortuin. End-of-life service: A case study [J]. European Journal of Operational esearch, 1998, 107:19-34.