A Case Study on BIM-Enabled Operation and Maintenance Management for Rail Transit Projects in China

ICCREM 2020 ◽  
2020 ◽  
Author(s):  
Zhujing Zhang ◽  
Guangbin Wang ◽  
Zhefeng Zhou ◽  
Xiaoyu Wang ◽  
Min Zhu
Keyword(s):  
Maintenance Management ◽  
Rail Transit ◽  
Operation And Maintenance

scholarly journals Perceived Trip Time Reliability and Its Cost in a Rail Transit Network

2021 ◽  
Vol 13 (13) ◽  
pp. 7504
Author(s):  
Jie Liu ◽  
Paul Schonfeld ◽  
Jinqu Chen ◽  
Yong Yin ◽  
Qiyuan Peng
Keyword(s):  
Regression Models ◽  
Influential Factors ◽  
Rail Transit ◽  
Linear Regression Models ◽  
Transit Network ◽  
Time Index ◽  
Trip Time ◽  
Buffer Time ◽  
Transfer Times

Time reliability in a Rail Transit Network (RTN) is usually measured according to clock-based trip time, while the travel conditions such as travel comfort and convenience cannot be reflected by clock-based trip time. Here, the crowding level of trains, seat availability, and transfer times are considered to compute passengers’ Perceived Trip Time (PTT). Compared with the average PTT, the extra PTT needed for arriving reliably, which equals the 95th percentile PTT minus the average PTT, is converted into the monetary cost for estimating Perceived Time Reliability Cost (PTRC). The ratio of extra PTT needed for arriving reliably to the average PTT referring to the buffer time index is proposed to measure Perceived Time Reliability (PTR). To overcome the difficulty of obtaining passengers’ PTT who travel among rail transit modes, a Monte Carlo simulation is applied to generated passengers’ PTT for computing PTR and PTRC. A case study of Chengdu’s RTN shows that the proposed metrics and method measure the PTR and PTRC in an RTN effectively. PTTR, PTRC, and influential factors have significant linear relations among them, and the obtained linear regression models among them can guide passengers to travel reliably.

The Design of Operation and Maintenance Management System about IT Platform Based on Tivoli

2014 ◽  
Vol 599-601 ◽  
pp. 2215-2219 ◽  
Author(s):  
Fen Su Shi ◽  
Yang Zhou ◽  
Pan Shi
Keyword(s):  
Management System ◽  
Process Management ◽  
Maintenance Management ◽  
It Infrastructure ◽  
Event Management ◽  
Management Platform ◽  
Operation And Maintenance ◽  
Passive Response ◽  
Maintenance Work ◽  
Storage Networks

At present, many domestic industries don’t have perfect operation and maintenance management systems for their IT platform. Most of the daily maintenance work is passive response after the problem occurred rather than discovery in advance, which will bring the potential risks to IT system running smoothly. Therefore it is necessary to monitor and manage the existing IT core equipment, to improve the security and stability of the core production and enhance the satisfaction of business department. In addition, through the establishment of an association between centralized monitoring and process management platform, the system standardizes the operational work, and improves work efficiency.Maintenance management system based on Tivoli[1] is mainly to complete the monitoring and management of the IT infrastructure, used in finance, electric power, chemical and other industries, which includes room infrastructure, storage, networks, systems, databases and middleware. On one hand, the system centralizes event management platform integrates events from various aspects of the IT infrastructure, takes a rich deal and then provides intuitive monitoring for operational management. Moreover it integrates process management platform so as to complete creating work orders, processing and other operations. On the other hand, the system will integrate the monitoring results of existing business into the monitoring interface, and implements IT knowledge sharing.

The Next Generation of Service Agreements for Publicly Owned Waste-to-Energy Facilities: Pinellas County Case Study

2007 ◽  
Author(s):  
Paul J. Stoller ◽  
Anthony LoRe ◽  
William Crellin ◽  
Robert Hauser
Keyword(s):  
First Generation ◽  
Lessons Learned ◽  
Waste To Energy ◽  
Next Generation ◽  
Procurement Process ◽  
Pinellas County ◽  
The Past ◽  
Operation And Maintenance ◽  
Service Agreement

This paper discusses one of the key lessons learned from administering the first generation of service agreements for public owners of waste-to-energy (WTE) facilities over the past 22 years and how those experiences were incorporated into a new service agreement for the operation and maintenance of Pinellas County’s 24 year old, 3,000 tpd WTE Facility to better protect the county’s interests. Additionally, a major issue raised by the operating companies during the competitive procurement process for continue operation of the facility is discussed and how that concern was addressed in the new service agreement is also presented. Capitalized words or terms used in this paper are defined within the new service agreement.

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