工业工程外文翻译

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工业工程专业英语每段对应翻译(全)

工业工程专业英语每段对应翻译(全)

Unit 1 Introduction to Industrial EngineeringThe Roles of IEIndustrial engineering?(IE)?is?emerging as one of the classic*and novel professions that will be counted for solving complex and systematic problems in the highly technological world of today.?In particular,with the rapid development of China’s economy and its acting as a center of world manufacturing industries,the demand for IE will increase and widen continuously and urgently.工业工程是新兴的经典和新颖的将计算解决复杂和系统性的问题,在今天的高度科技世界职业之一。

,特别是在中国快速发展的经济和其作为世界制造业中心的演技,为IE的需求将增加,并不断扩大和迫切。

A production system or service system includes inputs, transformation, and outputs. Through transformation, the added values are increased and the system efficiency and effectiveness are improved. Transformation processes rely on the technologies used and management sciences as well as their combination.生产系统或服务系统,包括输入,转换和输出。

工业工程 外文期刊 翻译

工业工程 外文期刊 翻译

Adrian Payne & Pennie FrowA Strategic Framework for Customer RelationshipManagementOver the past decade, there has been an explosion of interest in customer relationship management (CRM) by both academics and executives. However, despite an increasing amount of published material,most of which is practitioner oriented, there remains a lack of agreement about what CRM is and how CRM strategy should be developed. The purpose of this article is to develop a process-oriented conceptual framework that positions CRM at a strategic level by identifying the key crossfunctional processes involved in the development of CRM strategy. More specifically, the aims of this article are •To identify alternative perspectives of CRM,•To emphasize the importance of a strategic approach to CRM within a holistic organizational context,•To propose five key generic cross-functional processes that organizations can use to develop and deliver an effective CRM strategy, and•To develop a process-based conceptual framework for CRM strategy development and to review the role and components of each process.We organize this article in three main parts. First, we explore the role of CRM and identify three alternative perspectives of CRM. Second, we consider the need for a cross -functional process-based approach to CRM. We develop criteria for process selection and identify five key CRM processes. Third, we propose a strategic conceptual framework that is constructed of these five processes and examine the components of each process.The development of this framework is a response to a challenge by Reinartz, Krafft, and Hoyer (2004), who criticize the severe lack of CRM research that takes a broader, more strategic focus. The article does not explore people issues related to CRM implementation. Customer relationship management can fail when a limited number of employees are committed to the initiative; thus, employee engagement and change management are essential issues in CRM implementation. In our discussion, we emphasize such implementation and people issues as a priority area for further research.CRM Perspectives and DefinitionThe term “customer relationship management” emerged in the information technology (IT) vendor community and practitioner community in the mid-1990s. It is often used todescribe technology-based customer solutions, such as sales force automation (SFA). In the academic community, the terms “relationship marketing and CRM are often used interchangeably (Parvatiyar and Sheth 2001). However,CRM is more commonly used in the context of technology solutions and has been described as “information-enabled relationship marketing” (Ryals and Payne 2001, p. 3).Zablah, Beuenger, and Johnston (2003, p. 116) suggest that CRM is “a philosophically-related offspring to relationship marketing which is for the most part neglected in the literature,”and they conclude that “further exploration of CRM and its related phenomena is not only warranted but also desperately needed.”A significant problem that many organizations deciding to adopt CRM face stems from the great deal of confusion about what constitutes CRM. In interviews with executives, which formed part of our research process (we describe this process subsequently), we found a wide range of views about what CRM means. To some, it meant direct mail, a loyalty card scheme, or a database, whereas others envisioned it as a help desk or a call center. Some said that it was about populating a data warehouse or undertaking data mining; others considered CRM an e-commerce solution,such as the use of a personalization engine on the Internet or a relational database for SFA. This lack of a widely accepted and appropriate definition of CRM can contribute to the failure of a CRM project when an organization views CRM from a limited technology perspective or undertakes CRM on a fragmented basis. The definitions and descriptions of CRM that different authors and authorities use vary considerably, signifying a variety of CRM viewpoints. To identify alternative perspectives of CRM, we considered definitions and descriptions of CRM from a range of sources, which we summarize in the Appendix. We excluded other, similar definitions from this List.Process Identification and the CRM FrameworkWe began by identifying possible generic CRM processes from the CRM and related business literature. We then discussed these tentative processes interactively with the groups of executives. The outcome of this work was a short list of seven processes. We then used the expert panel of experienced CRM executives who had assisted in the development of the process selection schema to nominate the CRM processes that they considered important and to agree on those that were the most relevant and generic. After an initial group workshop, eachpanel member independently completed a list representing his or her view of the key generic processes that met the six previously agreed-on process criteria. The data were fed back to this group, and a detailed discussion followed to help confirm our understanding of the process categories.As a result of this interactive method, five CRM processes that met the selection criteria were identified; all five were agreed on as important generic processes by more than two-thirds of the group in the first iteration. Subsequently, we received strong confirmation of these as key generic CRM processes by several of the other groups of managers. The resultant five generic processes were (1) the strategy development process, (2) the value creation process, (3) the multichannel integration process, (4) the information management process, and (5) the performance assessment process.We then incorporated these five key generic CRM processes into a preliminary conceptual framework. This initial framework and the development of subsequent versions were both informed by and further refined by our interactions with two primary executive groups.客户关系的管理框架在过去的十年里,管理层和学术界对客户关系管理(CRM)的兴趣激增。

工业工程英语词汇

工业工程英语词汇

工业工程英语词汇BS/Brain Storming脑力激荡Facilities Design and Planning设施规划与设计Material Flow System Analysis物流系统分析Cost Control成本控制Value Engineering价值工程Work Assessment工作评价与考核Engineering Economics Analysis工程经济分析Production Planning and Control生产计划与控制Human Engineering人机工程(工效学PRA-Probabilistic Risk风险率评估Risk Priority Number(RPN风险关键指数Quality Control Circle品管圈(QCCIn-Process Quality Control制程质量管理(IPQC Incoming Quality Control进料质量管理(IQC Finish or Final Quality Control成品质量管理(FQC Activity-Base Management作业制成本管理(ABM Color management颜色管理Quality Improvement Team质量改善小组(QITStatistic Process Control统计制程管制(SPCTotal Production Management全面生产管理(TPMTotal Quality Management全面质量管理(TQMZero Defect Quality Control零缺陷质量管理Product date management产品数据管理(PDMInternational Organization for Standardization国际标准组织(ISO Business Process Reengineering(BPR企业流程再造Enterprise Resource Planning ERP企业资源规划Manufacturing Execution System制造执行系统(MESMaster Production Scheduling主生产排程(MPSMaster Production Planning主生产计划Material Requirement Planning物料需求规划(MRP Manufacturing Resource Planning制造资源计划(MRP2Operation Scheduling作业计划Optimized Production Technology最佳生产技术Flexible manufacturing system柔性制造系统Group technology成组技术(GTConcurrent engineering并行工程(CETime compression technology时间压缩技术(TCTBusiness process reengineering业务过程重组(BPRAgile manufacturing敏捷制造(AMLeap production精细生产(LPIntelligent manufacturing智能制造(IMComputer-aided-manufacturing计算机辅助制造(CAM Computer-aided-design 计算机辅助设计(CADComputer-aided-engineering计算机辅助工程(CAE Computer-aided-process planning计算机辅助工艺编制(CAPP Make-to-stock备货型生产(MTSMake-to-order订货型生产(MTOAssemble-to-order按订单装配(ATOquality engineering质量工程人员(QEfirst article inspection新品首件检查(FAIfirst article assurance首件确认(FAAcapability index能力指数(CPsupply chain供应链Supply Chain Management供应链管理(SCMPurchasing Management采购管理Quick Response快速用户反应JIT Purchasing准时采购physical distribution物流Materials handling物料搬运critical path method关键路线法optimistic time最乐观时间Most likely time最可能时间pessimistic time最悲观时间Mean time between failure平均故障期(MTBF Mean time to repair平均维修期(MTTRlevel production生产平准化optimized production technology最优生产技术(OPT Overall Equipment Effectiveness整体设备效能Operation Research运筹学Inventory库存Job-shop production单间小批生产Bill of materials(BOM物料清单文件Lead time提前期modular bill of materials模块物料清单Maximum part-period gain最大周期收益(MPG distribution requirements planning分配需求计划Shortage Costs缺货成本ABC Classing Method ABC分类法Reorder Point订货点Holding Costs存储成本Independent Demand独立需求Economic Order Lot经济订货批量Safety Stock安全库存Operation Management运作管理Economic Order Quantity(EOQ基本经济订购量Operation System运作系统World Class Manufacturing世界级制造Time-based Competition基于时间的竞争Operation Flexibility运作战略Product Development产品开发Predetermined Motion Time Standard简称PTS预定动作时间标准法Methods-time-measurement方法时间衡量Work factor system工作因素法(WFModular arrangement of pre-determind time standard MOD法Leveling平准化westing西屋法objective rating客观评比synthetic leveling合成评比Work Sampling工作抽样Motion time analysis动作时间分析Process Improvement现场改善WORK IN PROCESS(wip半成品/在制品Visual management目视管理bottleneck瓶颈Layout布置图Facility location设施选址Fixed position layout固定式布置process layout工艺过程布置layout based on group technology成组制造单元布置Job design工作设计work measurement工作测量Time study时间研究Basic motion study基本动作世界研究法(BMSModular arrangement of predetermined time standard模特法Human factor engineering人因工程business plan经营计划Fixed capacity固定能力Adjustable capacity可调整能力production rate生产率Machine Interference机器干扰Single Minute Exchange of Dies(SMED六十秒即时换模Fool-Proof防止错误法(防错法Man,Machine,Material,Method&Method/4M+E人机料法环Temperature(temp 温度Humidity湿度leaning curve学习曲线Time measurement时间测量Methods of time measurement标准时间测量(MTMShop floor observation现场观测Line Balancing线平衡Tact Time生产节拍Transport Empty运空Grasp握取Move移物Disassemble拆卸Use应用Assemble装配Release Load放手Inspect检查Search寻找Select选择Pre-Position预定位Position定位Hold持住Rest休息Unavoidable Delay迟延Avoidable Delay故延ECRS/Elimination,Combination,Re-arrangement&Simplification 剔除,合并,重排,简化Flow shop流水车间overall cost leadership成本优先differentiation独具一格Market focus集中一点cost efficiency成本效率quality质量Dependability可靠性Productivity Improvement Team生产力提升小组(PIT Productivity Improvement Center生产力提升中心(PIC。

工业工程专业英语

工业工程专业英语

缩略词:IE-industrial engineering-工业工程IT-information technology-信息技术BPR-business process redesign/reengineering-业务流程再设计/再造QR-operation research运筹学FMS-flexible manufacturing system-柔性制造系统DESS-discrete event stochastic system-离散事件随机系统AI-artificial intelligence-人工智能PMTS-pre-determined motion times system-预定动作时间系统MTM-methods time measurement-方法时间测量法MOST-Maynard operation sequence technique-梅纳德操作排序技术PTS-pre-determined time standards-预定时间标准法MSD-master standard data-主时间数据法MST-motion standard times-动作标准时间法SATO-speed-accuracy trade-off-速度和精度的平衡IDC- industrial-developing-country工业发展中国家WIP-work-in-process-在制品OEM-original equipment manufacturer-原始设备制造商IRR-internal rates of return-内部收益率NPV-net present value 净现值CAD-computer-aided design计算机辅助设计CAM- computer-aided manufacturing计算机辅助制造ABC-activity-based costing-基于活动的成本分析CE-concurrent engineering-并行工程DoD-Department of Defense-美国国防部IDA-the institute for defense analysis-防御分析研究所SPC-statistical process control-随机过程控制JIT-just-in-time--准时生产短语:持续改进-Continuous Improvement人因学,工效学-Human Factors或者ergonomics人机系统-Man-Machine System车间活动-Shop-Floor Activities仿真模型-Simulation Model道德标准,执业准则-Code of Ethics绩效测量-Performance Measure仿真-simulation运筹学-operations research质量改善工程-quality improvement engineering管理服务-management services绩效改善工程-performance improvement engineering物料搬运-material handling物流-logistics金融/财务管理-financial management项目管理-project management商业规划与开发-business planning and development质量运动-quality movement数学规划-mathematical programming预测-forecasting专家系统-expert system统计学-statistics组织理论-organizational theory单纯性(算)法-simplex algorithm运输问题-transportation problem网络问题-network problem线性规划-linear programming组合优化问题-combinatorial optimization problem多项式算法-polynomial algorithm约束-constraint界限-bound网络排队模型-network queueing model非凸的-nonconvex仿真建模-simulation modeling随机网络分析-stochastic network analysis随机服务系统-stochastic service system目标函数,目标方程-objective function离散优化-discrete optimization非线性优化-nonlinear optimization多目标优化-multiobjective optimization无约束优化-unconstrained optimization整数优化-integer optimization作业测量的劳动力标准-work-measured labor standards 动作分析-motion analysis时间研究-time study活动/工作抽样-activity/work sampling历史数据-historical data估算-estimate预定动作时间系统-pre-determined motion times system 模块化安排法-modular arrangement工作要素法-work factor交互式专家系统-interactive expert system评比因子-rating or leveling factor移动平均法-moving average approach生产线平衡-manufacturing line balancing职业危险-occupational hazards面向人类的设计-human centered design时间和动作的研究-time-and-motion study工业心理学-industrial psychology事故倾向性-accident proneness工作生理学-work physiology生物力学-biomechanics人体测量学-anthropometry人因工程-human factor engineering工程心理学-engineering psychology实验心理学-experimental psychology系统工程-system engineering人类感知-human perception响应,反映-response反馈回路-feedback loop独立变量-independent variable视觉-visual sense听觉-auditory sense手动响应-manual response语音响应-verbal response(人类的)特征变量-idiosyncratic variable生理感应-physiological arousal宏观工效学-macroergonomics认知工效学-cognitive ergonomics使用性研究-usability study人类可靠性-human reliability人机交互-human-computer interaction骨骼失调,肌骨紊乱-musculoskeletal disorder工厂布局-factory layout产品式布局-product layout工艺式布局-process layout功能式布局-functional layout单元式布局-cellular layout模块式布局-modular layout布局/设施设计-layout/facility design物料搬运-material handling制造单元-cell生产量,生产率-throughput(布局的)可重组性,可重塑性-reconfigurability 工作中心-work center契约制造-contract manufacturing产品延迟差异化-delayed product differentiation多通道制造-multichannel manufacturing可扩展的机器-scalable machine工件-workpiece分布式布局-distributed layout敏捷布局-agile layout废物处理设施-waste-disposal facility能力分配-capacity assignment设备利用率-machine utilization路径规划和调度-routing and dispatching联合设施,公用设施-consolidated facility星型布局-star layout工程经济学-engineering economics信息系统-information system制造系统-manufacturing system计算机集成制造系统-computer integrated manufacturing system 投资分析-investment analysis收益率- rate of return并行工程-concurrent engineering风险分析-risk analysis企业一般管理费-overhead间接成本-indirect cost现金流-cash flow轮廓评估-profile estimation质量成本-quality cost预防成本-prevention cost估价成本-appraisal cost失败成本-failure cost技术成本-technological cost系统成本-system cost辅助成本-support cost设备老化-equipment obsolescence直接劳动力成本-direct labor cost有形成本-tangible cost既约成本-irreducible cost无形成本-intangible cost实际成本-real cost机会成本-opportunity cost灵敏度分析-sensitivity analysis管理层支持-management support强化沟通-enhanced communication团队建设-team building控制委员会,指导委员会-steering committee质量功能展开-quality function deployment快速原型-rapid prototyping计算机辅助工艺规-computer-aided process planning面向装配/制造的设计-design for assembly/manufacturing面向可重复使用的设计-design for reusability面向维护的设计-design for maintainability面向可靠性的设计-design for reliability技术创新,技术革新-technological innovation产品生命周期-product life cycle管理承诺-management commitment持续改进-continuous improvement以客户为中心-customer focus员工参与-employee involvement团队合作-teamwork员工授权-employee empowerment流程管理-process management质量控制圈-quality control circle装配线-assembly line大规模生产-mass production与供应商的伙伴关系-supplier partnership单元制造-cellular manufacturing质量政策-quality policy培训-training产品/服务设计-product/service design供应商质量管理-supplier quality management 顾客参与-customer involvement企业质量文化-corporate quality culture战略质量管理-strategic quality management服务的无形性-service intangibility生产的同时性-simultaneity of production易逝性-perishability。

工业工程生产线中英文对照外文翻译文献

工业工程生产线中英文对照外文翻译文献

中英文对照外文翻译(文档含英文原文和中文翻译)A solution= procedure for type E simpleassembly line balancing problemAbstract:This paper presents a type E simple assembly line balancing problem (SALBP-E) that combines models SALBP-1 and SALBP-2. Furthermore, this study develops a solution procedure for the proposed model.The proposed model provides a better understanding of management practice that optimizes assembly line efficiency while simultaneously minimizing total idle time. Computational results indicated that,under the given upper bound of cycle time (ct max), theproposed model can solve problems optimally with minimal variables, constraints, and computing time.Keywords Simple assembly line balancing problem, Type E simple assembly line balancing problem,Manufacturing optimization.1.IntroductionIt has been over five decades since researchers first discussed the assembly line balancing problem (ALBP). Of all kinds of ALBP, the most basic is the simple assembly line balancing problem (SALBP). Bryton defined and studied SALBP as early as 1954. In the following year (1955), Salverson built the first mathematical model of SALBP and presented quantitative solving steps, which attracted great interest. After Gutjahr and Nemhauser (1964) stated that SALBP is an NP-hard combination optimization problem, the majority of researchers hoped to develop an efficient method to obtain the best solution and efficiently solve variant assembly line problems (e.g. Baybars, 1986; Boysen, Fliedner, & Scholl, 2007, 2008; Erel & Sarin, 1998; Ghosh & Gagnon, 1989; Scholl & Becker, 2005, 2006; Toksari, Isleyen, Güner, & BaykoÇ, 2008; Yeh & Kao, 2009). During subsequent years, SALBP became a popular topic. Kim, Kim, and Kim (1996) divided SALBP into five kinds of problems, of which type I problem (SALBP-1) and type II problem (SALBP-2) are the two basic optimization problems. Researchers have published many studies on the solution for the SALBP-1 problem. Salverson (1955) used integer programming (IP) to solve the workstation assignment problem. Jackson (1956) proposed dynamic programming (DP) to solve SALBP-1. Bowman (1960) developed two mathematical models and introduced 0–1 variables to guarantee that no tasks took the same time and thatno tasks were performed at different workstations. Talbot and Patterson (1984) presented a mathematical model with a single decision variable, and used it to calculate the number of tasks assigned to workstations. Essafi, Delorme, Dolgui, and Guschinskaya (2010) proposed a mixed-integer program for solving a novel line balancing problem composed of identical CNC machines. Hackman, Magazine, and Wee (1989) used a branch and bound (BB) scheme to solve SALBP-1. To reduce the size of the branch tree, they developed heuristic depth measurement techniques that provided an efficient solution. Betts and Mahmoud (1989), Scholl and Klein (1997, 1999), Ege, Azizoglu, and Ozdemirel (2009) have suggested BB methods for application. Other heuristics have been developed for solving the variant problems. These may include simulated annealing (Cakir, Altiparmak, & Dengiz, 2011; Saeid & Anwar, 1997; Suresh & Sahu, 1994), Genetic Algorithm (McGovern & Gupta, 2007; Sabuncuoglu, Erel, & Tayner, 2000), and ant colony optimization algorithm (Sabuncuoglu, Erel, & Alp, 2009; Simaria & Vilarinho,2009). Recently, multiple-objective problems have emerged from the diversified demand of customers. For example, Rahimi-Vahed and Mirzaei (2007) proposed a hybrid multi-objective algorithm that considers the minimization of total utility work, total production rate variation, and total setup cost. Chica, Cordon, and Damas (2011) developed a model that involves the joint optimization of conflicting objectives such as the cycle time, the number of stations,and/or the area of these stations. Another interesting extension is the mixed-model problem, which is a special case of assembly line balancing problem with different models of the product allowed moving on the same line. Aimed at the mixed-model assembly line problem, Erel and Gökçen (1999) studied onmixed-model assembly line problem and established 0–1 integer programming coupled with a combined precedence diagram to reduce decision variables and constraints to increase solving efficiency. Kim and Jeong (2007) considered the problem of optimizing the input sequence of jobs in mixed-model assembly line using a conveyor system with sequence-dependent setup time. Özcan and Toklu (2009) presented a mathematical model for solving the mixed-model two-sided assembly line balancing problem with the objectives of minimizing the number of mated-stations and the number of stations for a given cycle time.Unlike SALBP-1, the goal of SALBP-2 is to minimize cycle time given a number of workstations. Most studies focused on solutions for SALBP-1, and not SALBP-2, because SALBP-2 may be solved with SALBP-1 by gradually increasing the cycle time until the assembly line is balanced (Hackman et al., 1989). Helgeson and Bimie presented a heuristic algorithm to solve SALBP-2 as early as 1961.Scholl (1999) presented several decision problems regarding the installation and utilization of assembly line systems, indicating that balancing problem is especially important in paced assembly line cases. Scholl used task oriented BB to solve SALBP-2 and compared it with existing solution procedures. Klein and Scholl (1996) adopted new statistical methods as a solution procedure and developed a generalized BB method for directly solving SALBP-2. In addition, Gökçen and Agpak (2006) used goal programming (GP) to solve simple U-type assembly line balancing problems, in which decision makers must consider several conflicting goals at the same time. Nearchou (2007) proposed a heuristic method to solve SALBP-2 based on differential evolution (DE). In the followingyear, Nearchou (2008) advanced a new population heuristic method base on the multi-goal DE method to solve type II problems. Gao, Sun, Wang, and Gen (2009) presented a robotic assembly line balancing problem, in which the assembly tasks have to be assigned to workstations and each workstation needs to select one of the available robots to process the assigned tasks with the objective of minimum cycle time. Several other methods have been reported in the literature. For example, Bock (2000) proposed the Tabu Search (TS) for solving SALBP-2 and extended TS using new parallel breadth, which can be used to improve existing TS programs for assembly line problems. Levitin, Rubinovitz, and Shnits (2006) developed a genetic algorithm (GA) to solve large, complex machine assembly line balancing problems by adopting a simple principle of evolution and the BB method. A complete review of GA to assembly line balancing problems can be found in Tasan and Tunali (2008).The rest of the paper is organized as follows. Section 2 introduces SALBP-E formulation and its solution procedure. Section 3 presents solutions to a notebook computer assembly model and some test problems using small- to medium-sized for numerical calculations. Finally, this paper concludes with a summary of the approach.2.Formulation and solution procedure of SALBP-E The SALBP-E model integrates the SALBP-1 and SALBP-2 models. For this purpose, the following notations and variables are defined as follows:Notations:n Number of tasks (i = 1, . . . , n) m Number of stations (j = 1, . . . , m) m max Upper bound of stations (j = 1, . . . , m max) m min Lower bound of stations (j = 1, . . . , m min) t i Operation time of task iCt Cycle timeP Subset of task (i, k), given the direct precedence relationsDecision variables:x ijε {0, 1} 1 if task i is assigned to station j 0otherwise ( "i; j = m min, . . . , m max)y jε {0, 1} 1 if any task i is assigned to station j 0otherwise (j = 1, . . . , mmax)ct ≥Cycle time is set to greater than or equal to 0M* Minimal number of stationsThe original SALBP-1 model is as follows:SALBP-1:生产线设备选择多目标的方法摘要:考虑10一月2012一个新的问题,处理设计的可重构自动加工线这种线是由工作站顺序处理。

工业工程专业英语每段对应翻译(全)

工业工程专业英语每段对应翻译(全)

Unit 1 Introduction to Industrial EngineeringThe Roles of IE工业工程是新兴的经典和新颖的将计算解决复杂和系统性的问题,在今天的高度科技世界职业之一。

,特别是在中国快速发展的经济和其作为世界制造业中心的演技,为IE的需求将增加,并不断扩大和迫切。

生产系统或服务系统,包括输入,转换和输出。

通过改造,增加值的增加,系统的效率和效益都有所提高。

转化过程中所使用的技术和管理科学以及它们的组合依靠。

管理生产系统的服务体系,是一个具有挑战性和复杂的,行为科学,计算机和信息科学,经济,以及大量的主题有关的基本原则和技术,生产和服务系统的技术。

The Demand for IE Graduates对于IE 毕业生的需求工业工程课程设计准备的学生,以满足未来中国的经济和和谐社会建设的挑战。

许多即毕业生(IES ),事实上,设计和运行现代制造系统和设施。

其他选择从事服务活动,如健康,Äìcare 交付,金融,物流,交通,教育,公共管理,或咨询等。

为IE毕业生的需求比较旺盛,每年增长。

事实上,对于非法入境者的需求大大超过供给。

这种需求/供给不平衡是为IE大于其他任何工程或科学学科,并预计在未来多年存在。

因此,over150大学或学院于2004年在中国开设了IE浏览器程序。

The Objectives of the Textbook教科书的目标这本教科书的主要目的是引入系统化的理论和先进的技术和方法,工业工程,以及他们的英语表达有关科目。

教科书的另一个目的是加强和改进学生,AOS与工业工程专业英语文献的阅读和理解能力。

Engineering and Science工程与科学怎么这两个词,úindustrial,ùand,úengineering,ùget相结合,形成长期,úindustrial工程,非盟是什么工业工程和其他工程学科之间的关系,企业管理,社会科学为了了解工业工程的作用,在今天,AOS经济和知识为基础的的时代,它是有利于学习,希望在IE的演变历史的发展,有许多半途而废写历史发展的工程。

工业工程专业英语每段对应翻译(全)

工业工程专业英语每段对应翻译(全)

Unit1IntroductiontoIndustrialEngineeringTheRolesofIEIndustrialengineering?(IE)?is?emergingasoneoftheclassic*andnovelprofessionsthatwillbecountedforsolvingcomplexandsystematicproblemsinthehighlytechno-logicalworldoftoday.?Inparticular,withtherapiddevelopm entofChina’seconomyanditsactingasacenterofworldmanufacturingindustries,thedemandforIEwillin-creaseandwidencontinuouslyandurgently.工业工程是新兴的经典和新颖的将计算解决复杂和系统性的问题,在今天的高度科技世界职业之一。

,特别是在中国快速发展的经济和其作为世界制造业中心的演技,为IE的需求将增加,并不断扩大和迫切。

Aproductionsystemorservicesystemincludesinputs,transformation,andout-puts.Throughtransformation,theaddedvaluesareincreasedandthesystemefficiencyandeffectivenessareimproved.Transformationprocessesrelyonthetechnologiesusedandmanagementsciencesaswellast heircombination.生产系统或服务系统,包括输入,转换和输出。

通过改造,增加值的增加,系统的效率和效益都有所提高。

转化过程中所使用的技术和管理科学以及它们的组合依靠。

介绍工业工程专业英文

介绍工业工程专业英文

介绍工业工程专业英文English:Industrial Engineering is a field of engineering that focuses on optimizing complex systems or processes. It combines knowledge and skills from various disciplines such as engineering, business, and computer science to improve efficiency, productivity, and quality in organizations. Industrial engineers analyze data, develop solutions, and implement strategies to streamline production processes, reduce costs, and enhance overall performance. They use mathematical modeling, computer simulations, and optimization techniques to identify bottlenecks, enhance workflow, and eliminate waste in systems. Industrial engineering also involves knowledge of ergonomics, safety, and environmental sustainability to design workspaces that are efficient, safe, and environmentally friendly. Graduates of industrial engineering programs are equipped with the skills to work in a variety of industries such as manufacturing, healthcare, transportation, and consulting, where they can apply their problem-solving abilities and technical knowledge to drive continuous improvement and innovation.中文翻译:工业工程是一个专注于优化复杂系统或过程的工程领域。

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毕业设计(论文)英文翻译学生姓名:学号:所在学院:经济与管理学院专业:工业工程设计(论文)题目:好孩子推车事业部总装线生产线优化设计指导教师:The Methods for Solving the Problem of Balancing an Assembly LineCurrently, along with the market changing, some forerunners production mode got an extensive application in the manufacturing industry. How raise a whole efficiency of assembling the production line, reduce a work preface in the ware, and pursue to synchronize production is valued by more and more people. The production of manufacturing industry is most likely after carrying on subdividing to turn of have another a work preface flowing water to turn a continuous homework production line, at this time because of division of homework, the time of each work preface operates can't completely the same in theoretically and physically, this phenomenon that certainly will lead to a work preface homework burden unbalance. In addition to losing, result in the meaningless man-hour also result in a great deal of work preface pile up, sometimes will result in the abeyance of production line. Assembly line balance is a kind of means and method for resolving an above-mentioned problem, it is to make all work carry on equally, carrying on a research to the homework, carrying on a measurement to time, making the Assembly line moving smoothly.The assemble is the last link of production, assembling process mainly with the gearing of parts, tightly solid in lord; secondly allied connect, press to pack and add to note various work to lie quality and quality examination of work preface, sometimes still want to choose to pack according to the customer intention. The whole assemble homework is complicated, belonging to a labor an intensive type engineering. Therefore, the balance of exaltation assembly line has important realistic meaning to exaltation's production efficiency of the car assembly line. The assembly line equilibrium problem is the long-lost type of a type of typical model the combination is excellent to turn a problem, particularly is for random, many the assembly line equilibrium problem of target, solve to the satisfaction seldom more on a certain degree. Mainly is divided into the following 3 aspects to the research of assembly line equilibrium problem currently: Give the rhythm of the assembly line certainly beg minimum work station number, usually in the assembly line of design and install the stage carry on; The minimum work station given to settle assembly line number, make the rhythm of assembly line minimum, to already exist of the production line carry on adjust excellent turn; Get in work station number and rhythm of assembly line excellent turn under certain condition, all sparse assemble the burden of on-line work station, give the staff member a kind of fair feeling. Because the balance ofassembly line always long-lost type of the combination problem, we looking for the superior solution more difficult, so adopted a suitable method to resolve the assembly line equilibrium problem to cause the extensive concern of each business enterprise field and academic circles. A few typical models of water line equilibrium problem of this text aim convection solve a method to carry on more analytical; putting forward resolving that problem can go a method.The assembly line equilibrium problem is a typical NP-hard to crack, currently, the method which solves this kind of problem can return to knot to 3: Inspire type method, superior turn method (mathematics model method) with industrial engineering method.Superior turn method is the superior solution that passes establishment mathematics model to look for a problem. Though the mathematics model method can find out the superior solution, the physically applied hour is very tedious; Usually a pimping problem model that need to be constructed very big, the calculator consumes hour also more. Below I will make analysis use linear programming method and dynamic state program method.The linear programming (Linear Programming, brief name LP) problem is a target function peace treaty's tying conditions are the all lines and superior to turn a problem. The line programming is the superior to turn one of the important categories in the problem realm, making use of the line programming method to solve an ALB problem is in 60s in 20 centuries waited for someone by Bowman EH to put forward, its stipulation condition and target function establishment easy, but the operation measure very greatly, with actual the circumstance differ more and far. After some scholars' taking into this calculate way to improve, but operating quantities are bigger. Because the programming model method of the usage line solves operation quantity very greatly, the line equilibrium problem that can solve the piece less of the homework chemical element, with actual the circumstance differ very big, for this reason method the result obtained isn't very ideal in physically the application.The dynamic plan (dynamic programming) the algorithm is one commonly used method that solves the multi- stages decision-making process optimization question; it is very difficult and skillful. The dynamic plan realization is not certainly complex, is suitable for many questions, when solution general question is one of we first choice algorithms. But, the dynamic plan mathematical model establishment is not an easy matter, most difficult also most importantly condition expression. The dynamic plan condition expressed the descriptionsub-question must satisfy the most superior child constitutive property, otherwise unable to establish the correct dynamic plan model. Solves the problem when the application dynamic plan method, should first estimate the question the time, the space, if the question has the dimension barrier, then the dynamic plan condition expressed very difficult to satisfy the comparatively large-scale question the spatial request. We must seek the alternative means in addition. The dynamic plan law utilizes to when solving the ALB problem, its condition expression with various workstations work element process period related, often when determination dynamic upper boundary must affect a smaller condition to the system to carry on the deletion, thus achieved reduces the operand the goal.The heuristic method by its simple, easy to understand, was fast and has satisfied won the multitudinous administrative personnel's trust and the welcome, and is widely applied to each domain. Its production mainly is for overcome the realistic modeling the difficulty, provides one kind of more effective policy-making tool Compares with the optimized method, the heuristic method merit mainly has: The logical model approaches to the reality, the flow chart establishment in the foundation which the policy-maker experiences, therefore the heuristic method is concealing the multi- goals plan; Its main limitation is its static state, namely in the balance process, the fixed criterion determines first the criterion in advance, but from product processing process!、the market demand and the company strategy looked that, the environment is the dynamic change.The heredity algorithm (genetic algorithms, was called GA) is J. Holland was proposed in 1975 the biological theory of evolution inspiration. GA is based on the survival of the fittest one kind highly parallel, stochastic and the auto-adapted optimized algorithm, he expressed the question solution chromosome survival of the fittest process, through the group generation of unceasingly evolves, including duplication, overlapping and operation and so on variation, finally restrains to the individual which most adapts to circumstances or environment, thus obtains the question the optimal solution or the satisfactory solution. Compares with the traditional optimization method, the heredity algorithm merit is: Community search; Does not need the derivative of the objective function; Probability shift criterion. In recent years, because the heredity algorithm solved the complex optimized question the huge potential and it’s in the industrial engineering domain success application, this algorithm obtained the widespreadattention. The heredity algorithm often appears in the actual application precociously restrains and restrains the performance inferior shortcoming, the nowadays some improvement methods mostly is aims at the gene operation, population's macroscopic operation, carries on based on the knowledge operation and parallel GA. Person and so on Wang Yunfeng utilizes the blending in heritance algorithm solution assembly line balance question, this algorithm the heuristic rule, the heredity algorithm, the simulation Anneal Arithmetic algorithm synthesizes in together, both has used the heuristic rule based on the experience superiority, may enhance the algorithm the speed, and may cause the heredity algorithm and the simulation Anneal Arithmetic algorithm superiority supplementary, effectively has solved the assembly line balanced problem.The industrial engineering (Industrial Engineering, is called IE) the thought most early is proposes father of Taylor by scientific management in the beginning of 20th century, it is the integrated system which by the person, the material, the equipment or the facility, the energy and the information composes for the main research object, synthesis application project technology, management science and social sciences knowledge and so on theory method, enable sit to achieve reduces the cost, improves the quality and the benefit goal, simultaneously provides the policy-making basis for the scientific management. Mainly is the method research and the work determines two big technologies by the industrial engineering primarily production line balance correlation technology, utilizes this technical the merit is causes the enterprise in not to invest or in the few investments situation, does not increase the worker labor intensity even reduces the labor intensity, through implements a series of suits own characteristic improvement method, to the production process operational procedure, the operation method, the MOD method, the material disposition, the spatial layout and the work environment and so on various aspects carries on the improvement, achieved the enterprise balance production line then enhancement productivity, obtains the economic efficiency the goal. The improvement is the enterprise eternal subject, but the industrial engineering pursues the goal will be forever the without limits improvement, the utilization correlation technology is balanced to the production line, will reduce the consumption for the enterprise, will enhance the productivity. In recent 20 years, the industry inside and outside environment had the very big change, the knowledge economy time was arriving, the production line balance method system also will have the new characteristic and the research direction, met the need which under the new environment the economy grew. Inaddition also has correlation method and so on arrangement of equipment also may suitably enhance the equilibrium ratios of the production line, brings the bigger economic efficiency for the enterprise, waits for we to continue to make the further ponder and the research.The assembly line balance question has experienced from the optimize algorithm to the heuristic algorithm, until modern artificial intelligence method and industrial engineering method process. This article in view of the linear programming law, the dynamic plan algorithm, the heredity algorithm and the industrial engineering method these four solutions assembly line balance question typical method has separately made the brief analysis, has pointed out each algorithm good and bad points and the application situation. The assembly line balance question is a kind of typical separate combination optimization question, regarding is in particular stochastic, the multi- goals assembly line balance question, uses the appropriate method in some kind of degree all to be able to obtain the satisfactory solution. While which solves using the optimized method, nearly all used the simulation technology, along with the computer technology development, carries on two times of developments in the present existing software package foundation, established the visible hypothesized simulation assembly system, realized the assembly line dynamical equilibrium effect, will be worth further studying and the discussion. At present, the assembly line balance question mostly concentrates in the discussion single scroll assembly line time balanced question, along with the fast changeable market and customer's diverse demand, will enhance the assembly line the overall efficiency to be able to be the focal point which the enterprise and various academic circles will pay attention, whether considered the region balance as well as the line and the space balanced question will wait for further studies and the ponder.装配线平衡问题的求解方法浅析目前,随着快速多变的市场需求,一些先进的生产模式在制造业得到了广泛的应用。

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