Strategy Approach towards Product Lifecycle Management

Mass Customization and global economic collaboration drives the product development and management beyond internal enterprise to cover the whole product value chain. To meet such requirement, a strategy approach focusing on data organization for product lifecycle management was promoted. The approach takes product platform as the base, view engine and rule-based access as data access mechanism, and integration and collaboration bus as a enabler to allow participants involved in product lifecycle to get convenient, WEB-based access to the internal and external content, applications, and services.

Role of supply chain management in target costing

Standard costing is used as a control for product costing. But with life cycle becoming shorter, costing should be done at the design and development stage of a product. This is achieved through target costing.The implementation of target costing and target pricing is done with the ultimate purpose of cost reduction, cost understanding, continuous improvement, competitiveness, early purchasing and supplier involvement, and improved design and accountability by manufacturers. The study explores the participation of the purchasing and supply chain management＇s role in target costing and target pricing process. Supply management plays an active role in monitoring the ongoing cost and performance of suppliers during the early stages of product development. Implementation of target costing and target pricing in various organizations are also explored. Leading Japanese manufacturers have used target costing and target pricing systems to their advantage and the paper also examines the adaptation of the Western companies to these proactive cost management techniques to improve their product development processes.

研发企业基于集成产品开发理念数字化转型实践经验分享

在当今信息化飞速发展的时代,越来越多的研发企业开始寻求创新研发模式,学习先进的研发思想理念,实现传统研发到数字化研发的企业转型。本文以新安化工集团企业为例,进行实践经验分享,介绍企业学习以集成产品开发(integrated product development,IPD)为理念的研发模式配合产品全生命周期管理(product lifecycle management,PLM)科研信息管理系统的建设,探索并实现企业数字化转型的过程,提高企业研发水平,增强核心竞争力,以期为相关企业的发展提供参考。

含多电解槽的新能源制氢能量管理优化

新能源制氢系统是提升风能、太阳能等新能源消纳的有效途径。目前国内外关于电解槽能量管理的研究以单电解槽为主。单电解槽能量管理未考虑电解槽非线性的工作特性,难以兼顾多个电解槽制氢效率,影响系统经济性。文中针对含有多电解槽的新能源制氢系统的能量管理问题进行了研究,以新能源消纳率、经济收益、制氢率为目标,考虑单个电解槽运行特性以及生产约束条件,建立包含风电、光伏、蓄电池、多电解槽的能量管理优化模型,并采用强度Pareto进化算法2(strength Pareto evolutionary algorithm 2,SPEA2)求解多目标优化问题。仿真研究表明,文中所提能量管理策略能够实现新能源发电的100%消纳,单位制氢收益可提升5.15%。因此,对多电解槽制氢系统进行有效的能量管理有助于提高制氢效率,可有效克服单电解槽运行及能量管理的不足。

不同规模生猪养殖成本收益分析——基于风险管理视角

随着生猪养殖规模化进程加快,叠加外部环境多重不确定性因素影响,对规模养殖的成本收益探讨具有理论和现实意义。本文通过选取相关指标数据,从生产环节切入,对比不同规模生猪养殖的基本状况、成本收益和变动趋势,剖析生产成本构成以及相关影响因素。在此基础上,结合数据包络分析法,进一步考证应对外部风险时,养殖规模与成本收益的关联度。分析结果显示,中大规模生猪养殖整体发展势头良好,大规模生猪养殖的整体抗风险能力更强,市场发展潜力相对更大。因此提出加强引导发展中大规模养殖,发挥技术优势,提升产业经营水平,助推生猪产业和市场平稳有序发展。

信息技术在地震勘探全周期管理中的探索与实践

信息技术在地震勘探全周期管理中发挥着重要作用,然而随着地震勘探技术及管理水平不断提高,以往的信息管理方法与技术已不适应新形势的发展,急需进行信息技术系统化研究与探索。为此,本文在分析了目前地震勘探中信息技术应用不足的基础上,进行了信息系统架构与数据库设计;结合项目施工参数、设备、人员、机械、工期等因素进行系统结构功能设计与开发;最终形成了人力资源池、地震采集项目综合信息管理以及地震采集设备维修等分系统;并将其应用于生产实际,大幅提高了地震项目管控水平,效果良好。

Cycle Evolution of the Impact of Ability-Enhancing,Motivation-Enhancing,and Opportunity-Enhancing Strategic Human Resource Management on Product Innovation in Science and Technology Enterprises

This study is based on the Ability-Motivation-Opportunity(AMO)model.Through two sub-studies,it explores the influence of ability-enhancing,motivation-enhancing,and opportunity-enhancing strategic human resource management(SHRM)in science and technology enterprises,on product innovation performance(PIP).It also reveals the dynamic evolution that influence from the perspective of the enterprise lifecycles.Sub-study 1 analyzes 441 questionnaires from managers of science and technology enterprises,using a qualitative comparative analysis method to determine the differences in the lifecycles of different enterprises.A qualitative comparative analysis of the questionnaires identifies the configurations of AMO SHRM,organizational emotional capability(OEC),and organizational human capital(OHC)that affect PIP at different lifecycles.Sub-study 2 empirically validates the dynamic capability path and resource-enhancing path of the impact of AMO SHRM on PIP using 444 questionnaires from managers of science and technology enterprises.The outcomes make the following revelations.(1)There are two possible configurations for product innovation during the startup stage,and opportunity-enhancing SHRM(OSHRM),OEC,and OHC are necessary conditions for impacting product innovation.There are three possible configurations for product innovation during the growth phase,and three possible configurations during the mature phase.(2)OSHRM in the startup stage affects product innovation through human capital,while ability-enhancing SHRM(ASHRM)and motivation-enhancing SHRM(MSHRM)do not significantly affect product innovation.ASHRM and OSHRM in the growth stage affect product innovation through OEC and OHC,while MSHRM has a significant impact on product innovation.AMO SHRM in the mature stage affects PIP through OEC and OHC.The study compares the impact of AMO SHRM on PIP from the perspectives of dynamic capability and resource-enhancing paths,and longitudinally analyzes the adaptability of the two paths in different stages of the enterprise life,providing reference for science and technology enterprise management practices.

A product module mining method for PLM database

Modular technology can effectively support the rapid design of products, and it is one of the key technologies to realize mass customization design. With the application of product lifecycle management(PLM) system in enterprises, the product lifecycle data have been effectively managed. However, these data have not been fully utilized in module division, especially for complex machinery products. To solve this problem, a product module mining method for the PLM database is proposed to improve the effect of module division. Firstly, product data are extracted from the PLM database by data extraction algorithm. Then, data normalization and structure logical inspection are used to preprocess the extracted defective data. The preprocessed product data are analyzed and expressed in a matrix for module mining. Finally, the fuzzy c-means clustering(FCM) algorithm is used to generate product modules, which are stored in product module library after module marking and post-processing. The feasibility and effectiveness of the proposed method are verified by a case study of high pressure valve.

Engineering Change Management Adaptive to PLM

Engineering Change (EC) management for a Product Lifecycle Management (PLM) system, including EC data model, EC evaluation and EC implementation is presented. A method of dynamic and parallel EC evaluation is proposed, which breaks an EC evaluation task into several subtasks. Such subtasks can be dynamically and simultaneously proceeded, disassembled and communicated by different specialists, and at the same time a set of EC objects is created. This approach provides flexible and effective evaluation of the EC. The EC implementation followed will further ensure the completeness and consistency of EC data.

Tests Management in CALIPSOneo: A MDE Solution

Testing in Software Engineering is one of the most important phases although, unfortunately, it cannot be always successfully fulfilled due to time constraints. In most cases, the development phase takes more time than it was estimated, entailing negative effects on the testing phase. The delay increases even more in Research and Development (R + D) projects, where the real time to execute tasks is more difficult to control. Model Driven Engineering (MDE) offers a solution to avoid testing costs without affecting the execution quality of the applied test. This paper presents a practical overview of a Model Driven Testing (MDT)-based methodology and its impact on CALIPSOneo project, which was carried out in liaison with Airbus Defense and Space and, particularly, with the Product Lifecycle Management (PLM) department.

基于改进关联规则挖掘和距离聚类算法的知识融合

针对产品全生命周期管理(PLM)中来自于不同阶段和不同领域的设计文档,本文提出一种基于实体抽取的改进关联规则挖掘与距离聚类相结合的知识获取与融合的算法。以汽车行业领域知识获取与融合为例,从相关文档中抽取出8 183组数据,220 941个实体,将各组数据的27个特征两两交叉并与原来的特征规则共同作为候选集,进行关联规则挖掘,并构造初步的领域知识库。通过定义知识库中各实体之间的距离,结合聚类算法减少冗余知识,再根据融合后的知识构建知识库。实验表明,该算法在一定程度上减少了知识模型的规模,提高了领域知识库中知识的价值密度。

基于PLM评价的全过程管理在医院高值设备成本控制中的研究

目的探讨基于产品生命周期管理(Product Lifecycle Management,PLM)评价的全过程管理在医院高值设备成本控制中的应用效果。方法自医院信息系统和设备科维修管理平台采集PLM数据,考虑维修成本的条件下核算高值设备的成本效益等,基于此控制购入和使用的全过程成本。将2021年1—12月对医院高值设备实施常规管理的情况列为对照组,将2022年1—12月实施基于PLM评价的全过程管理的情况列为观察组。比较两组高值设备成本、管理质量评分、不良事件发生率。结果观察组高值设备折旧费用与对照组比较差异无统计学意义(P>0.05),维持工作/保养/维修成本和总成本均低于对照组[(27.45±5.06)万元vs.(45.24±8.19)万元,(132.87±20.09)万元vs.(150.66±22.59)万元](P<0.05),管理模式的有效性、可行性和实用性评分均高于对照组[(9.67±0.38)分vs.(8.33±0.57)分,(9.67±0.37)分vs.(8.33±0.54)分,(9.33±0.41)分vs.(8.33±0.36)分](P<0.05),设备故障、维修发生率也均低于对照组(0.95%vs.1.25%,0.90%vs.1.11%)(P<0.05)。结论基于PLM评价的全过程管理可以提升医院高值设备的成本控制效果和管理质量,还可减少不良事件。

基于PLM的产品信息管理系统的设计研究

现代化企业中产品生命周期管理的应用,对产品结构管理时存在异构系统之间的集成问题。同时,传统的生产制造企业构建产品生命周期管理系统,能够有效提高企业生产制造的信息化水平和产品生产效率,却没有充分考虑能耗问题。基于此,以企业实际需求为主,提出了一种基于产品生命周期管理(Product Lifecycle Management,PLM)的产品信息管理系统,并详细阐述了该系统的主要功能模块设计和实现。

安徽金寨竹制品加工业现状与发展对策

近年来,安徽省金寨县高度重视竹产业发展,在竹林道路修建、竹加工厂房建设、竹制品加工奖补、竹林采伐、招商引资等方面投入大量资金,竹制品加工业发展快速;但同时竹产业发展也面临着许多问题,主要表现在竹制品同质化严重、附加值低,企业规模小、效益低、产业工人短缺等。文章分析了金寨县竹制品加工业存在的问题、面临的机遇和有利条件,提出了加大政府支持力度、建设竹产业工业园、培养竹产业工人、培育优质企业、建立竹材仓储机制等促进竹制品加工业发展的建议。

基于全生命周期管理理论的绿色低碳建筑策略研究——以水下大数据研究中心为例

水下大数据研究中心项目采用建筑师负责制模式,从规划设计、建筑设计、建筑结构创新等方面系统化设置低碳影响因素的层级框架,避免因建筑设计方案的缺陷导致后期即使附加低碳措施也达不到碳排放要求。项目实践为绿色建筑低碳设计研究提供依据。

煤机企业多BOM管理技术研究

物料清单(Bill of Material,BOM)作为煤机企业产品信息传递的中枢神经,贯穿了企业各个业务部门,但不同部门使用的BOM形式不同,而各种形式的BOM数据之间又存在紧密的联系。如何有效地管理多种形式的BOM数据一直是煤机企业信息化过程中的核心问题。为了有效地管理BOM数据,分析了多种形式BOM数据特点,并提出了适用于煤机企业的多BOM管理方案,实现了基于产品生命周期管理系统(Product Lifecycle Management,PLM)的统一BOM管理方案。

试验用药品智能信息系统的设计与开发

我国试验用药品管理仍以“手工+纸质”的传统方式为主,具有采集效率低、过程繁琐和易损毁等缺点。为提升管理质量,探索构建试验用药品信息管理系统逐渐成为行业共识。本文综述了当前试验用药品信息管理系统设计模式分类,明确了系统设计原则和要求,并基于本院试验用药品智能信息系统(ISIP)开发经验,阐述了系统设计的关键要素,包括架构设计、信息安全与权限管理、关键功能实现等,还详细介绍了全周期管理、监控预警与智能提醒、数据可视化、多层级台账、特殊双盲试验盲态保持、报表导出和编码设计、外部系统对接、身份核对与签名和一键溯源等重要功能模块。结果表明ISIP系统的应用能实现药房数据的可视化,量化工作量指标,显著提升试验用药品管理效率效能,可为试验用药品信息管理系统的开发提供参考。

智慧农业技术在农产品生产中的应用与效益分析

智慧农业技术的应用在农产品生产中具有重要的意义。探讨智慧农业技术在农产品生产中的应用情况,并对其在提高农产品质量和农业生产效益方面的效果进行分析。通过对传感器技术、无人机技术及大数据与人工智能的应用进行论述,阐明了智慧农业技术带来的优势和效益。结果表明,智慧农业技术可以实现精准管理、优化资源利用,从而提高农产品质量和农业生产效益。然而,在应用过程中仍然存在一些问题需要进一步解决。因此,未来的发展需要继续改进技术,加强标准化和设备普及,以推动智慧农业技术在农产品生产中的广泛应用。

生产经营管理信息化系统建设经济效益分析

为了能够有效提升企业生产经营效率,大型企业生产与经营过程中逐渐重视信息科技应用,并根据自身需求建设生产经营管理系统,以便能够对相关生产经营数据更好地采集、分析与应用,便于提升企业的生产经营效率,降低成本,增加收益。以某公司生产经营管理系统建设为蓝本,对该系统建设后产生的经济效益进行分析,以促进生产经营管理类信息化系统的推广和建设,帮助企业提高生产经营管理效率,扩大企业收益。

生产经营活动中的固定资产管理及分析

固定资产在建筑施工企业生产和经营管理中是非常重要的,各类设备在使用过程中的运行、保养维护及检修在固定资产的管理中是一项非常重要的基础工作,对建筑施工企业的安全生产及经营效益有举足轻重的作用。因此,加强设备管理、充分发挥出设备使用效率就显得尤为重要。但是由于建筑施工企业固定资产本身的特点以及具体措施在各级单位的落实问题,在现在的管理体系下,对各类固定资产的管理仍存在一些问题,需要在实际的管理过程中继续改进。针对当前建筑施工企业固定资产管理的重要性、存在的问题及改进的措施等方面进行分析研究。