contributor author | Tingting Jiang | |
contributor author | Xuehui An | |
contributor author | R. Edward Minchin Jr. | |
contributor author | Shuyang Li | |
date accessioned | 2017-05-08T22:28:37Z | |
date available | 2017-05-08T22:28:37Z | |
date copyright | March 2016 | |
date issued | 2016 | |
identifier other | 46251670.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/81251 | |
description abstract | Information technology (IT) has increasingly been highlighted in the construction industry as an integral contributor in improving project performance and competition. IT application challenges for infrastructure operation companies still exist creating a need for improved evaluation methods of information systems (IS) prior to application. This study proposes a scheme for evaluating IS from both functional and nonfunctional aspects at the maintenance management process level. Considering the characteristics of maintenance management processes, discrete-event simulation coupled with the Keystroke-Level Model is adopted in the scheme. A case study is conducted using the scheme, and results reveal that IS is positively associated with maintenance performance. The effects of IS of varying levels on different processes and users are determined based on the functions within the organization. Moreover, the obstacles that hinder favorable user experiences of IS are identified. The case study verifies that the effects of IS on maintenance performance can be assessed quantitatively and objectively through application of the scheme. Decision makers may apply the scheme in the IS planning phase or in optimizing the available IS. | |
publisher | American Society of Civil Engineers | |
title | Application of Discrete-Event Simulation in the Quantitative Evaluation of Information Systems in Infrastructure Maintenance Management Processes | |
type | Journal Paper | |
journal volume | 32 | |
journal issue | 2 | |
journal title | Journal of Management in Engineering | |
identifier doi | 10.1061/(ASCE)ME.1943-5479.0000403 | |
tree | Journal of Management in Engineering:;2016:;Volume ( 032 ):;issue: 002 | |
contenttype | Fulltext | |