Applications of the ACF Model to the SRF Cogeneration Power Plant Construction Process and Its Implications

2021 ◽  
Vol 23 (2) ◽  
pp. 99-111
Author(s):  
Yeeun Kim ◽  
Choongik Choi
Author(s):  
Kaori Kashimura ◽  
Takafumi Kawasaki Jr. ◽  
Nozomi Ikeya ◽  
Dave Randall

This chapter provides an ethnography of a complex scenario involving the construction of a power plant and, in so doing, tries to show the importance of a practice-based approach to the problem of technical and organizational change. The chapter reports on fieldwork conducted in a highly complex and tightly coupled environment: power plant construction. The ethnography describes work practices on three different sites and describes and analyses their interlocking dependencies, showing the difficulties encountered at each location and the way in which the delays that result cascade through the different sites. It goes on to describe some technological solutions that are associated with augmented reality and that are being designed in response to the insights gained from the fieldwork. The chapter also reflects more generally on the relationship between fieldwork and design in real-world contexts.


2013 ◽  
Vol 712-715 ◽  
pp. 3093-3100
Author(s):  
Xuan Guo Xu ◽  
Yun Fei Wang ◽  
Xiao Fei Li

Enterprise flexibility is a very important factor for the development of a company which facing a dynamic unpredictable market environment. Workforce flexibility has a determining effect in making a system flexible. The chemical plant construction project characteristic was analyzed, pointed out some unreasonable status of the workforce flexibility during the construction process, and presented a new way through functional and numerical flexibility analysis to optimize the workforce flexibility in an equipment installation project case. Some good advice to improve workforce flexibility is presented.


1976 ◽  
Author(s):  
J.N. Hartley ◽  
L.E. Erickson ◽  
R.L. Engel ◽  
T.J. Foley

2009 ◽  
Vol 36 (15) ◽  
pp. n/a-n/a ◽  
Author(s):  
Qiang Zhang ◽  
David G. Streets ◽  
Kebin He

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Shang-Kuan Chen ◽  
Yen-Wu Ti ◽  
Kuo-Yu Tsai

In nuclear power plant construction scheduling, a project is generally defined by its dependent preparation time, the time required for construction, and its reactor installation time. The issues of multiple construction teams and multiple reactor installation teams are considered. In this paper, a hierarchical particle swarm optimization algorithm is proposed to solve the nuclear power plant construction scheduling problem and minimize the occurrence of projects failing to achieve deliverables within applicable due times and deadlines.


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