节点文献
TJ制造一部生产运营管理优化方案研究
Research on Optimization Scheme of Production Operation Management of Taijing Manufacturing
【作者】 李彬;
【导师】 丁丽霞;
【作者基本信息】 吉林大学 , 工商管理硕士(专业学位), 2025, 硕士
【摘要】 近年来,受到全球经济发展以及新冠疫情的影响,国内大型制造企业面临生存与发展的严峻挑战。2019年底爆发的新型冠状病毒疫情,造成制造企业人员隔离、无法正常上班等因素。新时代背景下,随着经济的高速发展和人们对生活品质的提升,数字化、智能化的重要性不言而喻。基于此,传统装备制造业迎来了新的发展契机,也对设备质量提出了更高的要求。随着《工业物联网发展行动计划(2018-2020)》和《智能制造发展规划(2016—2020年)》为代表的行业指导性政策的出台,制造业数字化趋势越来越明显,为传统制造业转型指明了新方向。因此,传统制造业转型升级,保持企业持续竞争力,数字化制造成为了制造行业生产运营的必经之路。本文以TJ制造一部生产运营管理为研究对象。本研究以数字化转型理论和精益管理理论为基础,探索TJ制造一部生产车间的运营管理状况,指出该生产车间在生产过程可控化、质量管理、设备管理、作业设计等方面存在的不足,并结合实际情况提出强化资金保障、健全制度体系、强化人才建设、构建高效组织等切实可行的建议,为运营质量提升与生产效率改善提供可行方案。本研究从战略层面将数字化技术对制造行业的赋能作用进行细化,通过详细的分析明确生产企业数字化管理层面存在的问题,并结合具体生产环节提出改善制造企业运营管理数字化水平的客观建议,为推动制造行业数字化转型战略的有效落实提供了参考。本文基于访谈调查法、案例分析法等研究方法,明确生产企业在运营管理环节存在的客观不足,并以科学理论为指导合理应用数字化管理理论与运营管理策略,对现有制造一部车间生产制造流程进行分析,得出现阶段的问题主要存在于生产过程不能可视可控可追溯,质量管理不可追溯,设备老旧,速度慢,效率低,关键岗位复合型人才少等主要管理问题。基于对生产环节各要素的详细分析与解构,结合先进生产管理经验,指出现阶段该部门生产环节在生产管理、质量管理、设备管理、作业设计等具体环节存在的客观问题,提出通过组织保障,制度保障、资金保障、人力资源保障等具体建议达到信息共享的目标,完成生产过程自动化、信息化、可监控化,及时采集生产信息并预警,实现生产过程可监控、可追溯,有效解决生产环节存在的质量问题。基于生产信息导向性管理方针的落实和生产过程可追溯化、可监控化的干预,为质量溯源、提质增效降本提供可行方案,同时为TJ制造生产运营环节的数字化转型提供可行方案。本文通过对TJ制造生产运营管理环节相关问题分析及优化方案的具体研究,为传统制造行业生产运行管理数字化转型提供了案例,希望本文研究为其他企业管理优化提供参考。
【Abstract】 In recent years,affected by global economic development and the COVID-19pandemic,domestic large manufacturing enterprises are facing severe challenges to survival and development.The outbreak of the new coronavirus at the end of 2019caused the isolation of personnel in manufacturing enterprises and the inability to work normally.After entering the new era,with the needs of development and higher environmental requirements,the transformation of digitalization,information technology and intelligence has become an inevitable trend.Since the traditional industry entered the rapid and high-quality development,the equipment manufacturing industry has higher and more specific requirements;The release of policy documents such as the Industrial Internet of Things Development Action Plan(2018-2020)and Intelligent Manufacturing Development Plan(2016-2020)has made the manufacturing industry more inclined to industrial digitalization,and proposed the establishment of intelligent manufacturing demonstration factories.Therefore,the transformation and upgrading of the traditional manufacturing industry to maintain the continuous competitiveness of enterprises,and digital manufacturing has become the only way for the production and operation of the manufacturing industry.This paper takes the production operation management of TJ Manufacturing as the research object.Based on the digital transformation theory and lean management theory,this study explores the operation and management status of production workshop 1 of TJ Manufacturing and points out the shortcomings of production workshop in production process controllability,quality management,equipment management,operation design and other aspects.Based on the actual situation,practical suggestions such as strengthening fund guarantee,improving system system,strengthening talent construction,and building efficient organization are put forward to provide feasible plans for improving operation quality and production efficiency.From the strategic level,this study refines the enabling effect of digital technology on the manufacturing industry,clarifies the problems existing in the digital management of production enterprises through detailed analysis,and puts forward objective suggestions to improve the digital level of operation management of manufacturing enterprises in combination with specific production links,providing a reference for the effective implementation of the digital transformation strategy of the manufacturing industry.Based on research methods such as interview and investigation,and case analysis,this paper identifies the objective shortcomings of production enterprises in operation management,and rationally applies digital management theory and operation management strategy under the guidance of scientific theories to analyze the production process of the existing manufacturing workshop.It is concluded that the problems at this stage mainly exist in the production process can not be visible,controllable and traceable,quality management can not be traced,old equipment,slow speed,low efficiency,few compound talents in key positions and other main management problems.Based on the detailed analysis and deconstruction of various elements of the production link,combined with advanced production management experience,this paper points out the objective problems existing in production management,quality management,equipment management,operation design and other specific links of the production link of the department at the present stage,and puts forward specific suggestions on organizational guarantee,institutional guarantee,financial guarantee and human resource guarantee to achieve the goal of information sharing.Complete the production process automation,information,can be monitored,timely collection of production information and early warning,to achieve the production process can be monitored,traceable,and effectively solve the quality problems in the production process.Based on the implementation of the production information-oriented management policy and the traceable and monitored intervention of the production process,it provides a feasible plan for quality traceability,quality improvement,efficiency reduction and cost reduction,and provides a feasible plan for the digital transformation of TJ manufacturing production and operation links.This paper provides a case for the digital transformation of production and operation management in traditional manufacturing industry through the analysis of relevant problems in TJ manufacturing production and operation management and the specific research on the optimization scheme.It is hoped that this study can provide reference for other enterprises’management optimization.
【Key words】 Production and operation; Digitization; Organizational transformation; Lean production; Operations Management;
- 【网络出版投稿人】 吉林大学 【网络出版年期】2025年 11期
- 【分类号】F426.63;F273