运营商网络运维基础管理的转型研究

随着市场竞争日益激烈，在加强通信运营商的战略转型的同时，也要加强对其业务模式和维护模式的转型，以此来满足市场的发展需求。本文从运营商网络运维体系的概念作为出发点，浅要分析了我国运营商网络运维基础管理体系的发展现状，并针对当前的发展现状，提出了未来完善运营商运维管理体系的建议。     

关于高速公路机电系统自行维护和专业维护的探讨

随着高速公路建设的迅速发展，越来越多的高速公路拔地而起，然而其建设是一项复杂的工程，投入了大量的人力和物力，就这要求加强高速公路的机电养护。本文主要在分析了高速公路机电系统自行维护和专业维护重要性基础上，根据两种模式的优劣对比，提出运用信息化的思路和手段为高速公路机电系统管理提供全面服务。     

输电线路智能化运行维护技术探析

目前，人们对于输电线路安全性的要求逐渐提高，输电线路智能化的维护成为电力企业发展的重要内容。文章分析了输电线路维护智能化的必然性，并针对这一点提出了具体的维护措施，以提高我国输电线路的稳定性和安全系数，为民众提供更多的方便，促进电力企业发展。     

浅谈机电设备的使用与维护

随着我国煤炭事业的快速发展，机电设备运行对于安全生产和经济效益的提高，发挥着非常重要的作用。所以，对机电设备的使用与维护，就提出了更高的要求，以适应生产需要。本文主要阐述了煤矿机电设备的使用与维护等问题。     

浅析项目工程中机械管理与维护

随着我国基础设施建设的快速发展和工业化的推进，使各类机械在工程施工中得到广泛的应用，本文对当前工程机械管理维护的部分问题进行简要分够：芽对箩理过程进行了综合评价，总结了工程机械的管理与维护要求。     

电气自动化仪表的管理与维护探析

随着科技的进步,电气仪表逐渐实现了自动化的运行模式。为了适应其发展,提高自动化仪表的使用周期和性能,应对其实施合理的管理和维护。文章提出了电气自动化仪表的具体管理和维护手段,其中包括管理和维护仪表的生命周期和分级管理等。自动化仪表的使用为我国电气相关行业效率提高提供了条件,因此在自动化仪表的管理和维护上,应制定合理的管理方案,并严格按照要求执行。     

基于DT的售后设备预测性维护协同模式研究

设备制造商为了满足设备用户对快速故障诊断和维护的需求，需要对设备进行实时监测、预测和远程指导。以数字孪生五维模型为基础，提出基于数字孪生的协同维护七维模型和维护服务协同模式。该模式下设备制造商和设备用户可实时获得对设备的监测信息，使得制造商能向用户提供更有效、及时的服务和支持。最后以某瓶装水封盖过程为例，构建设备隐式半马尔可夫模型，对设备当前运行状态的持续时间进行测算，得到与下一次劣化或故障状态的时间间隔，起到预测效果。构建了数字孪生服务平台框架和维护知识数据库，验证了所提出的协同维护模式的可行性。     

浅议矿山机电设备的维护管理

随着我国经济的迅猛发展，能源和原料的消耗能力也越来越强，我国各矿山也保持了快速发展的势头，不断有新的矿山立项建设，投入生产。要保障矿山生产的稳定，提高矿山的生产效益，做好机电设备的保养和维护工作至关重要。     

5A智能大厦消防系统的管理与维护

近年来，我国智能大厦发展迅猛，市场潜力巨大，据国外权威机构预测，21世纪，全世界智能大厦的50％将兴建在中国的大城市。随着智能大厦的发展和普及，势必对其中的消防系统的管理和维护提出更好的要求。     

关于加强输配电线路维护管理的研究

在社会发展新时期,我国输配电线路建设越来越多,同时,新时期的发展也对输配电线路提出更高的要求。因此,在电力发展新时期,我们要加强对输配电线路的维护和管理。本文介绍了输配电线路运行的特点和维护的难点,并在此基础上提出了一些管理措施,希望对今后我国电力的发展能够有所帮助。     

对精益企业制造和维修的要求

维修是为制造业服务的。它保证达到产品的数量和质量，并为保障制造设备和环境保护服务。在精益企业中，必须将制造和维修融合在一起。人们必须考虑维修的不同投入部门和不同行业的结构。本文对要求和方法进行了描述。     

Preventive maintenance of manufacturing systems under environmental constraints

The paper describes a new preventive maintenance approach for manufacturing systems under environment constraints. The manufacturing system under consideration consists of a machine M₁ that produces a single product in a Just-in-Time context. To satisfy a constant demand d, the system called upon another machine M₂ (the subcontractor), comprising the so-called environment, which produces at a certain rate the same type of product as M₁. Both machines are subjected to random failures. Whereas machine M₂ is uncontrollable from the maintenance point of view, an age-limit policy is used for preventive maintenance of machine M₁. It is proved that the best age to perform preventive maintenance depends on the history of machine M₁ and the state of M₂. A numerical example is used to illustrate the proposed approach.     

A cost‐based selective maintenance decision‐making method for machining line

Machine line is a type of manufacturing system in which machines are connected in series or in parallel. It is significant to ensure the reliability as well as to reduce the total cost of maintenance and failure losses in the maintenance programs of such systems. Cost‐based selective maintenance decision‐making, which is the best method for a selected group of machines in machine line is presented under limited maintenance durations. Fault losses and maintenance costs of a single machine under different maintenance actions i.e. minimal repair, preventive maintenance and overhaul on the fault rate of the machine are calculated. An algorithm combining the heuristic rules and tabu search is proposed to solve the presented selective maintenance model. Finally, a case study on the maintenance decision‐making problem of a connecting rod machining line in the automobile engine workshop is presented to illustrate the applicability of the proposed method. The end result shows that the fault losses can be further reduced by the optimization of maintenance interval and maintenance duration. Copyright © 2010 John Wiley & Sons, Ltd.     

Decision-making on multi-mould maintenance in production scheduling

The reliability of a critical tool like a mould on a machine affects the productivity seriously in many manufacturing firms. In fact, its breakdown frequency is even higher than machines. The decision-making on when mould maintenance should be started become a challenging issue. In the previous study, the mould maintenance plans were integrated with the traditional production schedules in a plastics production system. It was proven that considering machine and mould maintenance in production scheduling could improve the overall reliability and productivity of the production system. However, the previous model assumed that each job contained single operation. It is not workable in other manufacturing systems such as die stamping which may contain multiple operations with multiple moulds in each job. Thus, this study models a new problem for multi-mould production-maintenance scheduling. A genetic algorithm approach is applied to minimise the makespan of all jobs in 10 hypothetical problem sets. A joint scheduling (JS) approach is proposed to decide the start times of maintenance activities during scheduling. The numerical result shows that the JS approach has a good performance in the new problem and it is sensitive to the characteristic of the setup time defined.     

Optimal integrated maintenance/production policy for randomly failing systems with variable failure rate

This article deals with the combined production and maintenance plans for a manufacturing system satisfying a random demand. We first establish an optimal production plan which minimises the average total inventory and production cost. Second, using this optimal production plan, and taking into account the deterioration of the machine according to its production rate, we derive an optimal maintenance schedule which minimises the maintenance cost. A numerical example illustrates the proposed approach, this analytical approach, based on a stochastic optimisation model and using the operational age concept, reveals the significant influence of the production rate on the deterioration of the manufacturing system and consequently on the integrated production/maintenance policy.     

Influence of maintenance policies on multi-stage manufacturing systems in dynamic conditions

Manufacturing systems are subject to a degradation process that leads to machine failure if no action is taken. Machine failures reduce the performance of the manufacturing system with loss of profits. The research proposed here concerns the evaluation of the manufacturing system performance in dynamic conditions when different maintenance policies are implemented in a multi-machine manufacturing system controlled by multi-agent-architecture. There are two extreme maintenance policies that can be applied: no preventive maintenance, where action is taken on the failure state, and intensive preventive maintenance, which can eliminate unforeseen failures, but at a high cost. Dynamic policy maintenance is proposed to reduce the number of maintenance operations of the preventive policy. A discrete simulation environment has been developed in order to investigate the performance measures and the indexes of the costs of maintenance policies. The simulations have been conducted for several levels of mix, product demand and working time uncertainty. The simulation results show that the proposed approach leads to better performance for the manufacturing system and reduces the number of maintenance operations (cost index of the maintenance policy), except in the case of the mean time between failure, which is characterised by a very low standard deviation.     

Fuzzy adaptive preventive maintenance in a manufacturing control system: a step towards self-maintenance

In this paper, a framework of integrating preventive maintenance (PM) and manufacturing control system is proposed. Fuzzy-logic control is used to enable an intelligent approach of integrating PM and a manufacturing control system. This will contribute to the novel development of an integrated and intelligent framework in those two fields that are sometimes difficult to achieve. This idea is based on combining work on an intelligent real-time controller for a failure-prone manufacturing system using a fuzzy-logic approach (Yuniarto, M.N. and Labib, A.W., Optimal control system of an unreliable machine using fuzzy logic control: from design to implementation. Int. J. Prod. Res. (in press a); Yuniarto, M.N. and Labib, A.W., Intelligent real time control of disturbances in manufacturing systems. Integr. Manuf. Syst.: Int. J. Manuf. Technol. Manage. (in press b) and the work on PM proposed by Labib et al. (Labib, A.W., Williams, G.B. and O’Connor, R.F., An intelligent maintenance model (system): an application of analytic hierarchy process and a fuzzy logic rule-based controller. J. Oper. Res. Soc., 1998, 49, 745–757)). The aim of the research is to control a failure-prone manufacturing system and at the same time propose which PM method is applicable to a specific failure-prone manufacturing system. The mean time to repair and mean time between failures of the system are used as integrator agents, by using them to couple the two areas to be integrated (i.e. a maintenance system and manufacturing system).     

Integrated reconfiguration and age-based preventive maintenance decision making

The use of manufacturing system reconfiguration in conjunction with maintenance operations has not been previously reported in the literature. This research attempts to incorporate reconfiguration into Preventive Maintenance (PM) actions for improved system performance in terms of reduced total cost. This paper presents an Integrated Reconfiguration and Age-Based Maintenance (IRABM) policy and applies it to a parallel-serial manufacturing system. The expected total cost of implementing the IRABM policy is estimated and minimized through a simulation-based heuristic optimization procedure. Using this method, it is possible to systematically identify the conditions under which the integration of reconfiguration into maintenance is cost effective. In addition, numerical examples demonstrate that the manufacturing system could have a higher probability of fulfilling production requirements at a lower cost under the IRABM policy compared to the conventional age-based PM policy. The influences of the input parameters associated with reconfiguration, production, and reliability on the performance of IRABM policy also are studied.     

A Numerical Tele-service System and its Realization on a PC-PLC Network

1　ＩｎｔｒｏｄｕｃｔｉｏｎＴｅｌｅ ｓｅｒｖｉｃｅｓｙｓｔｅｍｓｉｎｔｈｅｄｏｍａｉｎｏｆｍａｎｕｆａｃｔｕｒｉｎｇｒｅｆｅｒｓｔｏｓｙｓｔｅｍｓｔｈａｔａｒｅｍｏｎｉｔｏｒｉｎｇａｎｄｃｏｎｔｒｏｌｌｉｎｇｒｅｍｏｔｅｐｒｏｄｕｃｔｉｏｎｐｒｏｃｅｓｓｅｓ,ａｎｄｉｎｔｅｒｖｅｎｉｎｇａｎｄｍａｉｎｔａｉｎｉｎｇｔｈｅｍｗｈｅｎｎｅｃｅｓｓａｒｙ .Ｆｒｏｍｔｈｅｖｉｅｗｏｆａｆｌｅｘｉｂｌｅｍａｎｕｆａｃｔｕｒｉｎｇｓｙｓｔｅｍ (ＦＭＳ) ,ａｔｅｌｅ ｓｅｒｖｉｃｅｓｙｓｔｅｍｆｏｒｍａｎｕｆａ…     

A systematic approach to determine the optimal maintenance policy for an automated manufacturing system

We propose a systematic approach to determine the optimal maintenance policy for an automated manufacturing system which includes a flexible manufacturing cell (FMC) and several automated machine shops. The systematic approach combines simulation, fractional factorial design, noise or outer array of Taguchi design, regression metamodelling, and classical queueing analysis. A useful expression of the fractional utilization of the manufacturing system is derived and incorporated into formulating and solving the corresponding decision problem. The systematic approach provides an effective implementation procedure to handle practical maintenance problems found in a complex manufacturing environment. © 1997 John Wiley & Sons, Ltd.