Framework for Risk Management Software System for SMEs in the Engineering Construction Sector

被引:7
作者
Oduoza, Chike F. [1 ]
Odimabo, Onengiyeofori [1 ]
Tamparapoulos, Alexios [1 ]
机构
[1] Wolverhampton Univ, Fac Sci & Engn, Wulfruna St, Wolverhampton WV1 1LY, W Midlands, England
来源
27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017 | 2017年 / 11卷
关键词
Risk; Software; SMEs; Construction Engineering; Balanced scorecard;
D O I
10.1016/j.promfg.2017.07.249
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Small and medium-sized enterprises (SMEs) in construction sector are vulnerable and face exposure to risks whilst operating without risk management system in place. Evidence from market research and industry surveys confirm that SMEs underperform due to inability to manage operational risk challenges facing them. The objective of this study is to develop risk management software enabling SMEs in the construction sector to proactively identify, analyse and manage risks facing them to enhance business performance. Performance in the construction sector is assessed in terms of completion time, project execution cost and overall quality of delivery. Research framework based on balanced score card highlights risk indicators affecting performance. The risk software guides operator to avoid, minimise, mitigate or manage the relevant risks to enable successful performance outcome. The system will enable systematic risk management to achieve minimum cost and time overrun while optimising quality of delivery in a project management environment. Crown Copyright (c) 2017 Published by Elsevier B.V.
引用
收藏
页码:1231 / 1238
页数:8
相关论文
共 14 条
[1]   On Some Recent Definitions and Analysis Frameworks for Risk, Vulnerability, and Resilience [J].
Aven, Terje .
RISK ANALYSIS, 2011, 31 (04) :515-522
[2]   The enabling role of decision support systems in organizational learning [J].
Bhatt, GD ;
Zaveri, J .
DECISION SUPPORT SYSTEMS, 2002, 32 (03) :297-309
[3]  
Department for Business Innovation and Skills (BIS), 2015, BUS POP EST UK REG 2
[4]  
Enshassi A, 2006, J CONSTR DEV CTRIES, V11, P1
[5]   Risk assessment in construction [J].
Jannadi, OA ;
Almishari, S .
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT-ASCE, 2003, 129 (05) :492-500
[6]  
Khodeir Laila Mohamed, 2015, HBRC Journal, V11, P129, DOI 10.1016/j.hbrcj.2014.03.007
[7]   Large engineering project risk management using a Bayesian belief network [J].
Lee, Eunchang ;
Park, Yongtae ;
Shin, Jong Gye .
EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) :5880-5887
[8]  
Odeyinka H., 2006, P ANN RES C ROYAL I, P7
[9]   Inter-phase feedbacks in construction projects [J].
Parvan, Kiavash ;
Rahmandad, Hazhir ;
Haghani, Ali .
JOURNAL OF OPERATIONS MANAGEMENT, 2015, 39-40 :48-62
[10]  
Rakitin StevenR., 2001, ART H COMP SCI LIBR, V2nd