Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Distribution of Investment Resources among the Agents of a Megaproject based on the Network Model. / Plyaskina, Nina.
2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 143-146 8880224 (2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Distribution of Investment Resources among the Agents of a Megaproject based on the Network Model
AU - Plyaskina, Nina
PY - 2019/8/1
Y1 - 2019/8/1
N2 - The report proposes a step-by-step algorithm for solving the problem of distribution of investment resources in the network model of the megaproject. The megaproject is presented in the form of a directed graph without contours. The duration of each work of the network model is a random variable. Works of the network model are grouped in projects of economic agents participants of megaproject. Each agent has the directive term of the completion and also minimum and maximum admissible probability of completion of the projects in this time. The main task of resource allocation between projects is to increase the likelihood of their completion within a directive term frame with given initial volumes of investment resources of the megaproject. The algorithm is tested on the example of allocation of investment resources of PJSC Transneft by sections of Eastern Siberia-Pacific Ocean pipeline.
AB - The report proposes a step-by-step algorithm for solving the problem of distribution of investment resources in the network model of the megaproject. The megaproject is presented in the form of a directed graph without contours. The duration of each work of the network model is a random variable. Works of the network model are grouped in projects of economic agents participants of megaproject. Each agent has the directive term of the completion and also minimum and maximum admissible probability of completion of the projects in this time. The main task of resource allocation between projects is to increase the likelihood of their completion within a directive term frame with given initial volumes of investment resources of the megaproject. The algorithm is tested on the example of allocation of investment resources of PJSC Transneft by sections of Eastern Siberia-Pacific Ocean pipeline.
KW - megaproject
KW - network model
KW - resource allocation
KW - step-by-step algorithm
UR - http://www.scopus.com/inward/record.url?scp=85078049057&partnerID=8YFLogxK
U2 - 10.1109/OPCS.2019.8880224
DO - 10.1109/OPCS.2019.8880224
M3 - Conference contribution
AN - SCOPUS:85078049057
T3 - 2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019
SP - 143
EP - 146
BT - 2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019
Y2 - 26 August 2019 through 30 August 2019
ER -
ID: 25353579