Global and local time-optimal resource allocation in a sequence of projects

1985 ◽  
Vol 12 ◽  
pp. 408-413
Author(s):  
Adam Janiak ◽  
Anna Stankiewicz
2019 ◽  
Vol 8 (1) ◽  
pp. 225-228 ◽  
Author(s):  
Minh-Nghia Nguyen ◽  
Long D. Nguyen ◽  
Trung Q. Duong ◽  
Hoang Duong Tuan

2021 ◽  
Author(s):  
Risvan Dirza ◽  
Sigurd Skogestad ◽  
Dinesh Krishnamoorthy

Abstract This paper considers the problem of steady-state optimal resource allocation in an industrial symbiotic oil production network, or in general, a large-scale oil production system network, where different organizations share common resources. These allocation problems are typically solved in a distributed optimization framework, where the optimization problem is decomposed into smaller subproblems, a central coordinator is used to coordinate the different subproblems. However, the use of a central coordinator may introduce additional practical challenges, such as impartiality issues, or additional operating costs, which is undesirable even in the technological selection phase. To eliminate the need for a central coordinator, this paper proposes a consensus-based optimal resource allocation, where each subproblem or organization is locally optimized, and the coupling constraints are negotiated among the different organizations over a fixed communication network with limited information exchange. The proposed approach is applied to a large-scale subsea oil production system, where the different wells are operated by different organizations. The simulation results of the application show that the proposed approach can optimally allocate the shared resources.


2014 ◽  
Vol 641-642 ◽  
pp. 824-828 ◽  
Author(s):  
Feng He ◽  
Rui Chun He ◽  
Sheng Nan Sun ◽  
Jiong Di Chen

In order to arrive at the scene of the fire in the shortest time dealing with the accident, considering two fires occurred at the same time, taking optimal allocation of resources at the center of the fire fighting and the least time of driving to fireground as objective functions, based on automobile brake model and two-stage scheduling mechanism, to build the total time optimal model and resource allocation optimization model. Models obtain vehicle shortest transit time and the optimal resource allocation amount, it can effectively solve routing problem of the emergency rescue vehicle, resources shortage also can be solved when many accidents happen at the same time, to avoid the waste of resources and to ease the pressure of maintenance cost.


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