Integrate computation intelligence with Bayes theorem into complex construction installation: a heuristic two-stage resource scheduling optimisation approach

Figures & data

Table 1. Literature review list.

Author	Title
Garcia-Nieves, J Diego
Ponz-Tienda,J Luis
	Multipurpose linear programming optimisation model
Ospina-Alvarado, A
	for repetitive activities scheduling in construction projects
Bonilla-Palacios, M.(2019)
Francis, Adel(2020)	Chronographical site-spatial-temporal modelling of construction operations
Francis, Adel(2019)	Chronographical Spatiotemporal Scheduling Optimisation for Building Projects
Anagha Anirudh Galagali(2017)	Time-Cost-Quality Trade-off in Construction Project Management
Yap, Jbh	Ameliorating time and cost control with project learning and communication management:
Skitmore, M(2020)	Leveraging on reusable knowledge assets
Deblaere, Filip
Demeulemeester, Erik	Proactive policies for the stochastic resource-constrained project scheduling problem
Herroelen, Willy(2011)
Fahmy, Amer
Hassan, Tarek	Dynamic scheduling model for the construction industry
Bassioni, Hesham
McCaffer, Ronald(2020)
Florez, L
Castro-Lacouture, D	Sustainable workforce scheduling in construction programme management
Medaglia, A L(2013)
Biruk, S.	Scheduling Linear Construction Projects with Constraints
Jaskowski, P.(2017)	on Resource Availability
	Research on effective planning and scheduling of resources in the construction installation process

Table 2. Construction and installation equipment details.

	Type of the preinstalled device
Equipment category	One	Two	Three	Four
Monitoring	camera	display
Broadcasting	cable TV	acoustics
Communication	fixed telephone	broadband interface	routers
Ventilation and heating	Heating	ventilation	exhaust
Lighting	lighting lamp	sockets	switches	emergency lights
fire prevention	smoke sensor	temperature sensor	curtain doors	Sound optical alarm

Figure 1. Deployment tasks of electrical resources (Schematic representation of the resource allocation process).

Table 3. Proficiency of different workers.

Class	One	Two	Three	Four	Five	Six	Seven	eight	nine	ten
Personnel	1	2	3	4	5	6	7	8	9	10
Proficiency	1.5	2	1.75	1.6	0.75	1	1.6	1.5	0.74	0.5

Table 4. Task volume in construction area.

Class	One	Two	Three	Four
Construction area	0	1	2	3
Tasks	73	74	64	55

Table 5. Arrangement sequence of some workers.

X0	X1	X2	X3	X4	X5	X6	X7	X8	X9
1	0	1	2	3	3	0	2	3	3
2	2	1	0	1	0	0	3	3	1
2	1	0	2	1	1	1	3	3	1
0	0	1	0	1	2	2	3	1	0
3	2	0	1	1	1	2	0	3	1
0	1	0	2	0	2	3	3	0	0
1	0	2	0	1	3	0	2	3	1
2	1	0	2	2	2	3	3	3	2
2	1	0	2	1	1	2	3	3	1
1	0	1	2	1	1	0	0	3	1

Table 6. Task volume in construction area.

Class	One	Two	Three	Four	Five	Six	Seven	eight	nine	ten
Construction area	0	1	2	3	4	5	6	7	8	9
Tasks	94	73	83	65	98	78	95	66	89	54

Table 7. Arrangement sequence of some workers.

X0	X1	X2	X3	X4	X5	X6	X7	X8	X9
9	6	8	0	5	0	9	6	2	0
0	9	8	8	6	8	6	3	1	2
2	9	1	5	7	4	7	7	1	4
9	7	4	8	2	9	1	7	4	3
9	8	7	8	0	8	7	9	5	6
3	1	0	7	8	1	9	3	9	3
1	1	1	2	3	4	2	1	9	4
3	2	4	7	7	0	1	1	0	0
1	5	4	5	9	1	7	6	3	3
6	3	8	8	8	5	7	9	9	0

Figure 2. Iterative curve under different parameters. (a) 100 times. (b) 300 times. (c) 500 times. (d) 1000 times.

Figure 3. Construction scheme comparison experiment(Comparison of performance differences presented by different solutions in the construction process). (a) Construction time of different experimental schemes. (b) Comparison of minimum construction hours.

Figure 4. Performance curve of resource allocation under different task loads.

Figure 5. Cost comparison curves under different ranking relationships.

Figure 6. Time complexity comparison curve.

Figure 7. Construction cost under different schemes(Cost differences presented by different solutions in the construction process).

Galagali, A. A. (2017). Time-Cost-Quality trade-off in construction project management. International Journal of Civil Engineering, 4(8), 24–31. https://doi.org/10.14445/23488352/IJCE-V4I8P104

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