Case Study of the Asset Monitoring Focused on Facility Management

2020 ◽  
pp. 219-229
Author(s):  
Sangchul Kim ◽  
Shinjo Eom
Keyword(s):  
Facility Management ◽  
Asset Monitoring

scholarly journals Architecture For Automation System Metrics Collection, Visualization and Data Engineering – HAMK Sheet Metal Center Building Automation Case Study

2019 ◽  
Vol 9 (1) ◽  
pp. 561-570
Author(s):  
Khoa Dang ◽  
Igor Trotskii
Keyword(s):  
System Integration ◽  
Data Analytics ◽  
Building Energy ◽  
Facility Management ◽  
Automation System ◽  
Building Energy Efficiency ◽  
Building Automation ◽  
Automation Systems ◽  
Integration Data

AbstractEver growing building energy consumption requires advanced automation and monitoring solutions in order to improve building energy efficiency. Furthermore, aggregation of building automation data, similarly to industrial scenarios allows for condition monitoring and fault diagnostics of the Heating, Ventilations and Air Conditioning (HVAC) system. For existing buildings, the commissioned SCADA solutions provide historical trends, alarms management and setpoint curve adjustments, which are essential features for facility management personnel. The development in Internet of Things (IoT) and Industry 4.0, as well as software microservices enables higher system integration, data analytics and rich visualization to be integrated into the existing infrastructure. This paper presents the implementation of a technology stack, which can be used as a framework for improving existing and new building automation systems by increasing interconnection and integrating data analytics solutions. The implementation solution is realized and evaluated for a nearly zero energy building, as a case study.

Artificial intelligence exploitation in facility management using deep learning

2020 ◽  
Vol 20 (4) ◽  
pp. 609-624
Author(s):  
Mohamed Marzouk ◽  
Mohamed Zaher
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Life Cycle Cost ◽  
Facility Management ◽  
Support Vector ◽  
Maintenance Costs ◽  
Content Type ◽  
Protection Systems ◽  
Future Work

Purpose This paper aims to apply a methodology that is capable to classify and localize mechanical, electrical and plumbing (MEP) elements to assist facility managers. Furthermore, it assists in decreasing the technical complexity and sophistication of different systems to the facility management (FM) team. Design/methodology/approach This research exploits artificial intelligence (AI) in FM operations through proposing a new system that uses a deep learning pre-trained model for transfer learning. The model can identify new MEP elements through image classification with a deep convolutional neural network using a support vector machine (SVM) technique under supervised learning. Also, an expert system is developed and integrated with an Android application to the proposed system to identify the required maintenance for the identified elements. FM team can reach the identified assets with bluetooth tracker devices to perform the required maintenance. Findings The proposed system aids facility managers in their tasks and decreases the maintenance costs of facilities by maintaining, upgrading, operating assets cost-effectively using the proposed system. Research limitations/implications The paper considers three fire protection systems for proactive maintenance, where other structural or architectural systems can also significantly affect the level of service and cost expensive repairs and maintenance. Also, the proposed system relies on different platforms that required to be consolidated for facility technicians and managers end-users. Therefore, the authors will consider these limitations and expand the study as a case study in future work. Originality/value This paper assists in a proactive manner to decrease the lack of knowledge of the required maintenance to MEP elements that leads to a lower life cycle cost. These MEP elements have a big share in the operation and maintenance costs of building facilities.

PORTFOLIO PERFORMANCE BENCHMARKING WITH DATA ENVELOPMENT ANALYSIS

2013 ◽  
Vol 30 (05) ◽  
pp. 1350011 ◽  
Author(s):  
PHILIP Y. L. WONG ◽  
STEPHEN C. H. LEUNG ◽  
JOHN D. GILLEARD
Keyword(s):  
Data Envelopment Analysis ◽  
Facility Management ◽  
Future Research ◽  
Portfolio Performance ◽  
Analysis Tool ◽  
Data Envelopment ◽  
Performance Improvements ◽  
Hard Data ◽  
Performance Benchmarking

This paper proposes data envelopment analysis (DEA) as a suitable data analysis tool to overcome facility management (FM) benchmarking difficulties: FM performance benchmarking analysis is often unsophisticated, relying heavily on simple statistical representation, linking hard cost data with soft customer satisfaction data is often problematic. A case study is presented to show that DEA can provide FM personnel with an objective view on performance improvements. An objective of the case study is to investigate the relative efficiency of nine facilities with the same goals and to determine the most efficient facility. The case is limited to nine buildings in FM on four inputs and nine output criteria. The paper concludes by demonstrating that DEA-generated improvement targets can be applied when formulating FM outsourcing policies, strategies and improvements. Facility manager can apply DEA-generated improvement targets in formulating FM outsourcing policies, specifications development, FM strategy and planning. FM benchmarking with DEA can enhance continuous improvement in service efficiency and cost saving. This will help reduce utility cost as well as pollution. This paper fills the gap in the research of FM benchmarking by applying DEA which studies both soft and hard data simultaneously. It also contributes to a future research of a trade-off sensitivity test between FM cost, services performance and reliability.

scholarly journals Synthesis of Manufacturing and Facility Data for Sustainability Analysis

2012 ◽  
Author(s):  
John Michaloski ◽  
Goudong Shao ◽  
Frank Riddick ◽  
Swee Leong ◽  
Jonatan Berglund ◽  
...  
Keyword(s):  
Operations Management ◽  
Facility Management ◽  
Modeling Tools ◽  
Data Synthesis ◽  
Holistic View ◽  
Manufacturing Operations ◽  
Sustainability Analysis ◽  
Activity Models ◽  
Standard Framework

This paper discusses data synthesis of production and facility knowledge for sustainability analysis by applying the ISA–95 “Activity Models of Manufacturing Operations Management” (MOM) model. Presently, production and facility management basically function independently of each other. This paper presents the addition of facility activities to the MOM model, in accordance with the needs for attaining a holistic view of sustainability analysis. Historically, production and facility data are represented in various forms, e.g., data bases, CAD, and spread-sheets, without a common unifying representation. Based on this combination of incompatible modeling tools, the use of Core Manufacturing Simulation Data (CMSD) is proposed as a standard framework for integrating the broad range of technology. A case study of the data synthesis for a precision sand casting production facility is explored.

A Case Study of Oshep's Training Partnership with the American Standard Corporation's Trenton Facility and Gmp Local 175

2002 ◽  
Vol 12 (1) ◽  
pp. 43-60 ◽  
Author(s):  
Michele Ochsner
Keyword(s):  
Training Program ◽  
Occupational Safety ◽  
Health And Safety ◽  
Work Force ◽  
Facility Management ◽  
Union Activists ◽  
Worker Health And Safety ◽  
American Standard ◽  
The Impact

This case study examines the evolution and impact of a training partnership between the Rutgers University/N.J. Industrial Union Council's (IUC) Occupational Safety and Health Project and the American Standard Corporation's Trenton facility. The study draws on on-site interviews with three employees who played a key role in the training program as well as survey data from a broader cross-section of the facility's workforce. Insights about the impact of training are viewed within the context of the adult education and evaluation literature, particularly studies focusing on participatory, interactive training techniques. Committed activists, a supportive union and management, and the infusion of skills and ideas from the Rutgers/IUC worker-to-worker health and safety program are viewed as key factors in understanding developments at the facility. In addition, the study emphasizes the importance of relationships developed between union activists, facility management, and the OSHEP training staff. On January 2, 2001, the corporation announced plans to shut down the facility within the year, and plans for training the rest of the work force were dropped. Although the site-specific training program was cut short, this case study traces changes in the plant's health and safety culture that occurred over a three-year period.

scholarly journals Development of Android Based Laboratory Asset Monitoring and Inventory Application

2020 ◽  
Vol 7 (1) ◽  
pp. 74
Author(s):  
Mardawia Mabe Parenreng ◽  
Fajria Nur ◽  
Asriyadi Asriyadi
Keyword(s):  
Black Box ◽  
Main Task ◽  
Laboratory Equipment ◽  
Testing Method ◽  
Data Collection Process ◽  
Engineering Department ◽  
Black Box Testing ◽  
Asset Monitoring ◽  
Application Component

Each laboratory has a person in charge (technician) that has a duty of serving the laboratory in term of operational and maintenance. The main task of a technician is to record and monitor the condition and completeness of laboratory equipment in the laboratory. The data collection process is done by writing a tool request form, therefore mistakes often occur. In this research, an Android-based laboratory asset monitoring and inventory application was made. By using the application, it is expected that technicians become easier to make any duties of reports including report of damaged laboratory equipments, request for reparation, the unavailable practical materials etc simply by using a Smartphone. Testing the application with the Black-Box testing method to investigate the function of each application component whether it is running well or not. The results obtained from the Black-Box test are the functions of each component were running as expected. The case study is conducted for Electrical Engineering Department at State Polytechnic of Ujung Pandang (SPUP)

Sign in / Sign up

Export Citation Format

Share Document