Design and pricing of maintenance service contract based on Nash non-cooperative game approach

Nowadays manufacturers are facing fierce challenge.Apart from the products,providing customers with multiple maintenance options in the service contract becomes more popular,since it can help to improve customer satisfaction,and ultimately promote sales and maximize profit for the manufacturer.By considering the combinations of corrective maintenance and preventive maintenance,totally three types of maintenance service contracts are designed.Moreover,attractive incentive and penalty mechanisms are adopted in the contracts.On this basis,Nash non-cooperative game is applied to analyze the revenue for both the manufacturer and customers,and so as to optimize the pricing mechanism of maintenance service contract and achieve a win-win situation.Numerical experiments are conducted.The results show that by taking into account the incentive and penalty mechanisms,the revenue can be improved for both the customers and manufacturer.Moreover,with the increase of repair rate and improvement factor in the preventive maintenance,the revenue will increase gradually for both the parties.

Maintenance of Municipality Infrastructure: A Case Study on Service Delivery in Limpopo Province at South Africa

Purpose: An element of poor service delivery concerns the quality of management on the maintenance of services like water, electricity, roads, schools and clinics. This is a relevant and topical issue for research because of the current situation regarding these provisions in South Africa. This research took place in a Municipality situated in Limpopo Province, South Africa. It is the responsibility of municipalities to ensure that they fulfil their constitutional obligations in the delivery of maintainable, operative and well-organised municipal services through the maintenance of infrastructure. As this country has been subjected to a large number of service delivery complaints, this has led to the motivation of this study. The purpose of this study is to analyse maintenance on municipal infrastructure and service delivery in a local municipality, in particular focusing on the water supply. This research study is aimed at analysing how local municipality conducts its maintenance of municipal infrastructure, seeking to understand the challenge of maintenance on service provided to the communities. Design/Methodology/Approach: To achieve the success of this research, both qualitative and quantitative methods were adopted. A survey questionnaire and structured interview questions were conducted with communities and employees in a municipality in Limpopo Province. Findings: The results of the study revealed that residents are facing water difficulties due to a lack of maintenance and absence of water supply. People are fetching water from the rivers in the nearby community, water which unfortunately is not purified. Furthermore, people have experienced this poor maintenance and service delivery for years, negatively impacting on the community’s standard of living. Originality/Value: The original contribution of this work was to analyse the types of maintenance being used in local municipalities and how it will benefit the communities. To the best of the authors’ understanding, there are no studies that have been conducted in South Africa regarding the impact of maintenance on municipal infrastructure, and this paper aims to fill this gap.

Subsea Maintenance Service Delivery:Mapping Factors Influencing Scheduled Service Duration

The oil and gas （O＆G） industry on the Norwegian continental shelf （NCS） leads the world in terms of the number of subsea O＆G installations. Ensuring the dependability of these assets is critical. Non-intrusive inspection, maintenance and repair （IMR） services are therefore needed to reduce risks. These services are planned and executed using a mono-hull offshore vessel complete with remotely operated vehicles （ROVs）, a module handling system and an active heave compensated crane. Vessel time is shared between competing jobs, using a prioritized forward-looking schedule. Extension in planned job duration may have an impact on O＆G production, service costs and health, safety, and environmental （HSE） risks. This paper maps factors influencing the job schedule efficiency. The influence factors are identified through reviews of literature as well as interviews with experts in one of the large IMR subsea service providers active on the Norwegian Continental Shelf. The findings show that the most obvious factors are weather disruption and water depth. Other factors include job complexity, job uncertainty, IMR equipment availability, as well as the mix of job complexity.

Ontology Engineering and Knowledge Services for Agriculture Domain

This paper presents a knowledge service system for the domain of agriculture. Three key issues for providing knowledge services are how to improve the access of unstructured and scattered information for the non-specialist users, how to provide adequate information to knowledge workers and how to provide the information requiring highly focused and related information. Cyber-Brain has been designed as a platform that combines approaches based on knowledge engineering and language engineering to gather knowledge from various sources and to provide the effective knowledge service. Based on specially designed ontology for practical service scenarios, it can aggregate knowledge from Internet, digital archives, expert, and other resources for providing one-stop-shop knowledge services. The domain specific and task oriented ontology also enables advanced search and allows the system ensures that knowledge service could improve the user benefit. Users are presented with the necessary information closely related to their information need and thus of potential high interest. This paper presents several service scenarios for different end-users and reviews ontology engineering and its life cycle for supporting AOS （Agricultural Ontology Services） Vocbench which is the heart of knowledge services in agriculture domain.

Probe on Network-based Collaborative Maintenance Model for After-sales Equipment

In order to make equipment run safely, economically and continuously, some new maintenance models were put forward to improve the equipment after-sale maintenance service, such as E-maintenance, third-party maintenance, etc. To certain extent, the models solved the problem of the distance between the manufacturer and customer and the dispersion of the maintenance technologies, however, those resources are still widely distributed and do not collaborate efficiently. In this paper, a network-based collaborative maintenance service model was proposed for after-sales equipment to solve the problem of maintenance resources integration. Concretely, equipment designers, maintainers, spare parts suppliers and maintenance experts were grouped together to establish dynamic alliance. The leader of the alliance is the manufacturer under guaranty period or equipment user exceeding the guaranty period. The process of maintenance service was divided into three stages which are fault diagnosis, maintenance decision and maintenance implementation. The sub-alliances were established to carry out maintenance work at each stage. In addition, the business process of network-based collaborative maintenance was analyzed and collaborative business system for equipment＇s after-sales collaborative maintenance service was designed. In the end, an informational economics model of network-based collaborative maintenance was established to demonstrate the effectiveness of this maintenance model.

A Survey on Network Operation and Maintenance Quality Evaluation Models

The evaluation of network operation and maintenance quality is an important reference for carriers to improve their service.However,the traditional evaluation methods involve so much human participation that it cannot cope with the explosive amount of data.Therefore,both the major carriers and researchers are trying to find solutions to evaluate the quality of network operation and maintenance more objectively and accurately.In this paper,we analyze the general process of quality evaluation models for network operation and maintenance.The process has four steps:1)selection of evaluation indicators;2)data process for chosen indicators;3)determination of indicator weights;4)establishment of evaluation models.We further describe the working principle of each step,especially the methods for indicator selection and weight determination.Finally,we review the recently proposed evaluation models and the international stan dards of network operation and maintenance quality evaluation.

基于植物功能群的生态系统服务形成与维持机制研究

生态系统可以从“结构-功能-服务”3个层次来理解,其中服务是人类的主观感受或效用。维持高质量的生态系统服务还需从生态系统的自然属性入手。结构和功能是生态系统服务形成和维持的内在机制,而植物是生态系统结构和功能的核心驱动力。植物功能群具有特定功能的植物组合,其中优势植物功能群控制着生态系统的结构和功能。生态系统服务的概念、分类与植物功能群密切相关,植物功能群是生态系统与生态系统服务间更直接的桥梁。建立生态系统服务与植物功能群间的联系,使相关研究有更明确的指向,在深化理论研究的同时使研究成果更容易落地。生态系统服务的形成、维持机制与植物功能群的内在联系主要体现在4个主要方面:(1)植物功能群的内在适应性特征和外在效应是生态系统服务形成的基础;(2)植物功能群的多功能特性为生态系统服务协同提供了可能;(3)植物功能群间替代和互补效应可以提升生态系统服务质量和稳定性;(4)植物功能群能够提供基于自然的生态系统服务修复问题解决方案。

长江中游护滩服役状态评价体系

随着长江航道建设的快速发展,维护管理好在役的航道整治建筑物成为一项重要工作。目前国内针对长江中常见的航道整治建筑物——护滩服役状态的相关研究较少。基于考虑指标模糊性的可拓云理论,建立护滩服役状态评价模型。依据监测信息、护滩历年维护经验和相关规范,构建了评价指标体系,并结合序关系法和熵权法,综合确定指标权重,经模型计算可以得到护滩所隶属的服役状态等级。将该模型应用于长江中游新九水道护滩服役状态评估,评价结果与工程实际情况吻合。验证表明,本文所建立的护滩服役状态评价模型可以正确识别护滩服役状态,指导护滩日常维护工作,推进长江航道养护智能化。

便携式在役锚索预应力检测设备研制及应用

现有的锚索预应力检测设备要求锚索外露段长度>70 cm,不适应于运维期的在役锚索检测,且质量大都在150 kg以上,对于高陡边坡锚索检测显得笨重。为此研制了HRAD-300型便携式在役锚索预应力智能检测仪,可适用于钢绞线外露长度>7 cm的在役锚索预应力检测。检测仪位移量程200 mm,测量误差0.01 mm;测力量程300 kN,测量误差±1%FS,单件质量<15 kg,总质量<40 kg。基于反拉法原理及检测曲线形态,提出锚下有效预应力算法,并编制了相关软件。室内试验表明,检测曲线形态多为拐点不明显型,计算值与原始锁定值基本一致。使用该设备对邛崃市天台山景区凤凰岩不稳定斜坡锚固工程进行检测,结果表明,现场锚索检测曲线多为拐点明显型,具有明显的突变点及陡降;锚索运行状态良好,持续发挥功效,2号锚索预应力损失较为明显,可以采取补偿张拉方式;同一锚索的不同钢绞线存在受力不均的情况。便携式在役锚索预应力检测仪智能、轻便,可为锚固工程健康评价提供数据支撑。

基于BIM的医院公共建筑智慧运维管理平台的建设与应用

为实现“一站式”后勤服务体系,医院需要比传统后勤管理更为现代化和智能化的方案,而一个能够运用AI算法创新性地进行高频重复报修工单自动识别、建筑设备故障预测、维保质量量化评价和重复工单自动挖掘的数据驱动的智慧运维平台,是实现“一站式”后勤服务体系的有力支撑。该平台在新华医院应用后,实现了被动式、粗放式运维向主动式、智慧化运维转变,大大提升了医院建筑使用体验和安全保障,达到提质增效、节能减排效果,并继续探索数据赋能的建筑运维向后勤运维全生命期服务转型。

基于多任务学习的IT运维服务需求语义解析

IT运维服务的自动化水平影响着企业的运营效率,为实现基于无人坐席的智能服务台,提出一种IT运维服务需求语义解析方法,包括意图识别和命名实体识别两个任务。在Multi-BERT-BiLSTM-CRF(MBBC)基准模型之上,通过先验知识和外部资源将词性和实体词典特征融入编码层,增强模型对词法信息和领域知识的学习。对MBBC模型的参数共享方式进行改进,提出增强的MBBC模型模型,增强两个任务之间的信息共享能力。实验表明,与MBBC模型相比,融合词性与实体词典特征并采用增强的MBBC模型可以进一步提升两类任务的识别性能。

T22/TP304H异种钢焊接接头性能分析与剩余寿命评估

异种钢焊接在亚临界锅炉中被广泛运用,其焊接接头性能会直接影响锅炉的运行安全和服役寿命。针对已服役20万小时以上的锅炉中带垫板T22/TP304H异种钢焊接接头,采用微观组织观察、常温与高温拉伸试验以及高温持久试验等方法,全面评估了焊接接头的组织形态、力学性能和耐久性。结果表明,TP304H母材及焊缝中有析出物聚集现象,易诱发焊接区域萌生裂纹;长期服役的接头拉伸强度低于ASME标准要求的最低值,力学性能出现较大程度的衰退;通过温度曲线推算法估算,焊接接头的剩余寿命为29 745 h,但其运行可靠性已显著降低,应对接头部位进行检修并加强后期巡检工作。该研究可为T22/TP304H异种钢焊接头的组织与性能研究和设备后续的安全运行提供理论参考。

实验动物设施运行维护和保养模式探讨

随着我国生物医药产业的蓬勃发展,实验动物行业进入快速发展阶段,相应的设施运行系统建设也更加自动化和智能化。与传统的实验动物设施相比,新设施在送排风、空调、自控及整个屏障的维护方面均需要更加专业的技术团队。临港实验室实验动物设施涵盖大、小动物饲养和实验等功能区域。该设施管理团队总结日常维护经验,并结合实验室运行特点,调研探索多种运行维护模式,然后通过分析3种常见模式的优劣势,为实验动物设施管理提出新的思路,也为同行选择最适合的专业维护保养模式提供参考。

基于ITIL的运维管理平台在三峡高科中的应用研究

随着企业信息化建设进程的不断推进以及企业信息系统复杂程度的增加,IT运维管理也变得越来越重要,但IT运维管理也存在管理功能单一、缺乏流程保障等弊端,因此难以满足企业对信息化服务越来越高的要求。通过将ITIL(Information Technology Infrastructure Library)引入IT运维管理中,达到有效管理、控制、维护信息系统及关联IT资源,为企业提供强有力的IT运维服务。

售后备件对重型汽车维修服务质量影响的研究

重型汽车维修服务在现代社会中具有重要地位,不仅关系到货物运输和物流行业的正常运作,还关乎道路交通的安全。文章分别从维修效率和工时成本、客户满意度和忠诚度以及维修质量和安全性等方面分析了售后备件对重型汽车维修服务质量的影响,在此基础上,结合重型汽车维修服务的特点,提出了针对性的售后备件服务水平的提升策略,进而有助于促进重型汽车维修服务质量的不断提高。

机车实时走行公里应用系统设计及应用

为满足机车分级整备、跨铁路局集团公司(简称:局)段整备和精准检修的管理需求,设计了集采集、传输、应用等功能为一体的机车实时走行公里应用系统。利用车载装置实时采集列车运行监控装置(LKJ)走行公里数据;依托3G/4G移动网络和机辆信息管理平台内/外网传输通道,实现在线走行公里数据的传输和落地;通过机车走行公里地面应用,实现实时数据查询和多维度统计分析,以及机车整备预测、修程预测等功能。在试点局段的试用结果表明,该系统为机车整备、检修提供了量化依据,减少人工维护数据工作量,杜绝机车失修和超整备周期使用的发生,减轻运输安全风险,整体提升机车运营维护水平和效率。

100 t转炉炉体砌筑维护工艺研究与实践

转炉炉体的安全稳定是炼钢车间各项指标完成的前提,随着转炉炼钢技术的逐步成熟,冶炼周期逐渐降低,生产节奏加快,转炉的持续稳定顺行更是快节奏生产的前提,因此转炉的炉体维护工艺优化需要做重点研究与实践。

刍议预防性养护措施延长路面面层使用寿命

我国南北区域气候不同,病害类型稍有不同,南部夏季高温炎热,沥青路面需要考虑较好的高温稳定性能;北部冬季寒冷,沥青路面需要考虑较好的低温开裂性能,而目前的维修养护方案并未充分考虑此点,通过分析预防性养护措施延长路面面层使用寿命的研究内容,得出结论如下:现行国检主要评判依据为《公路技术状况评定标准》(JTG H20—2007)中相关路面性能指标,大部分指标也只针对表层进行评价。实际上制定技术方案及工程实施,应结合更全面、更科学的技术指标对路况整体进行分析,从而制定更高效的养护措施,保证路面在3~5年不进行养护修复且各项性能指标达到较高水平。

化工机械设备维护管理策略:延长寿命与降低故障率

在化工生产过程中,机械设备的稳定运行和高效性至关重要。然而,长期以来由于设备的频繁运转和恶劣的工作环境,设备故障和损耗问题一直困扰着化工企业。为了延长设备寿命、降低故障率,提高生产效率和安全性,制定一套科学的化工机械设备维护管理策略显得尤为迫切。本文旨在探讨化工机械设备维护管理的关键策略,以确保设备的可靠性、稳定性和安全性。