Research on risk evolution of cruise ship construction schedule based on SD

doi:10.16265/j.cnki.issn1003-3033.2022.S1.0821

Abstract

Abstract:

In order to effectively reduce the progress risk of construction projects, and explore the dynamic evolution law of construction period and risk under the interaction of construction schedule and risk elements, a research method for the evolution of construction schedule risk based on SD was established. First of all, the model hypothesis was set based on the difference between practical and theoretical research. Secondly, the construction process subsystem and risk factor subsystem were established from the perspective of construction period and safety, and the causal feedback structure relationship of the subsystems was analyzed. Finally, the dynamic flow diagram of cruise construction and the functional relationship between variables were determined, and the construction schedule risk evolution model was constructed. The results show that the dynamic evolution of risk factors has significant differences in the impact of the construction schedule of cruise ships. The management factors have the greatest impact, followed by material factors, and construction environmental factors have the least impact. In addition, reasonable safety input configuration and risk control timing positively impact construction schedule control.

Key words: system dynamics(SD), cruise ship construction, construction schedule, risk evolution, simulation model

XIE Luqiang, WANG Haiyan. Research on risk evolution of cruise ship construction schedule based on SD[J]. China Safety Science Journal, 2022, 32(S1): 63-71.

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等级	语言评价	隶属函数
一级	风险程度低	(0,0,1,2)
二级	风险程度较低	(0.5,2,3,4.5)
三级	风险程度一般	(3,4,6,7)
四级	风险程度较高	(5.5,7,8,9.5)
五级	风险程度高	(8,9,10,10)

一类风险	一类风险权重	二类风险	二类风险全局权重	风险评价值
A	0.215 7	A₁	0.034 0	4.3
		A₂	0.038 6	5.4
		A₃	0.023 5	4.1
		A₄	0.029 4	4.2
		A₅	0.017 9	3.7
		A₆	0.025 6	4.0
		A₇	0.015 2	3.6
		A₈	0.031 5	4.2
B	0.173 7	B₁	0.057 3	4.6
		B₂	0.039 6	4.8
		B₃	0.048 1	3.9
		B₄	0.028 7	4.3
C	0.254 3	C₁	0.039 1	3.7
		C₂	0.034 6	3.9
		C₃	0.033 0	5.1
		C₄	0.038 1	5.5
		C₅	0.034 5	4.2
		C₆	0.031 4	5.8
		C₇	0.027 9	4.6
		C₈	0.015 7	3.9
D	0.176 7	D₁	0.056 2	4.0
		D₂	0.075 1	5.5
		D₃	0.045 3	3.1
E	0.180 6	E₁	0.027 1	6.3
		E₂	0.024 6	5.3
		E₃	0.014 9	4.2
		E₄	0.025 5	2.7
		E₅	0.018 5	4.9
		E₆	0.024 6	6.7

变量名称	类型	变量表达式
目标保有量	辅助	if then else(计划工程施工速度>实际施工速度, 计划工程施工速度×目标裕度,实际施工速度×目标裕度)
物资发货率	速率	if then else(剩余工期>目标裕度:and:剩余工作量>(物资库存+在途库存),(目标保有量-物资库存)/库存调整时间+物资出库率+物资废弃率,0)
库存调整时间	辅助	max((入库时间+运输时间)×系统风险水平影响因子,初始值)
物资入库率	速率	delay fixed(物资发货率,库存调整时间,0)
物资库存	状态	integ((物资入库率-物资出库率)×(1-物资废弃率),初始值)
物资出库率	速率	if then else(物资库存>0:and:剩余工作量>0,delay1(实际施工速度, 出库时间×系统风险水平影响因子),0)
实际施工速度	速率	if then else(剩余工作量>0:and:物资库存>0,min(计划工程施工速度×生产效率/系统风险水平影响因子,1.5×计划工程施工速度),0)
工作强度	辅助	with lookup(进度压力,([(0,0)(10,2)],(0,0.1),(0.5,0.6),(1.2,1.1),(1.5,1.2),(2.5,1.4),(4,1.5),(10,2)))
安全投入	辅助	delay1i(期望投入×系统风险水平影响因子, 10, 0)

模型	人员因素	机械设备因素	管理因素	施工环境因素
模型1	0.274	0.228	0.353	0.145
模型2	0.274	0.181	0.4	0.145
模型3	0.274	0.281	0.3	0.145