Skip to Main Content
 

Global Search Box

 
 
 

ETD Abstract Container

Abstract Header

Locating Critical Infrastructure Considering its Dependency with Connected Supporting Stations

Jamar-Kattel, Prakash
http://orcid.org/0000-0001-6255-9705
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1547044104211674

Abstract Details

2019, Master of Science (MS), Ohio University, Industrial and Systems Engineering (Engineering and Technology).
This thesis develops a framework to locate critical infrastructure (CI) facilities to most fully capitalize on the supporting stations (SS) they depend on for normal operation. CI facilities include health services, transportation and electricity; agencies that impact the national economy, security and the public’s health and wellbeing. SSs are facilities that provide essential services for the regular operation of a CI. For instance, the power service, communication services and water supply services are SS for the Hospital. SS are independent from the CIs that they service but have a heterogeneous probability of failure that will cripple the dependent CI. The proposed framework ranks the SS according to its cost of providing service, it incorporates the probability of failure for the SS, and determines both the optimal location of the CI and the optimal numbers of demand served. A mixed integer linear programming approach is applied to develop a Reliable Facility Location Problem considering Supporting Stations (RFLP-SS) to identify the optimal location to build a critical facility. In addition to that, The RFLP-SS determines the capacity of the optimally located facility and its allocated demands. This research highlights the importance of considering dependencies among the supporting stations that service Critical Infrastructure (CI). The thesis presents a case study in Puerto Rico to demonstrate the applicability of the proposed framework. The case study investigates the status of health services in Puerto Rico and identifies the optimal locations to establish new hospitals. The thesis recommends 11 optimal locations for new hospitals so that the people of Puerto Rico will be better served than they are currently.
Felipe Aros-Vera, PhD (Committee Chair)
63 p.
Operations Research
Facility Location; Dependent Infrastructure; Supporting Stations; Probability of Failure

Recommended Citations

Citations

  • Jamar-Kattel, P. (2019). Locating Critical Infrastructure Considering its Dependency with Connected Supporting Stations [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1547044104211674

    APA Style (7th edition)

  • Jamar-Kattel, Prakash. Locating Critical Infrastructure Considering its Dependency with Connected Supporting Stations . 2019. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1547044104211674.

    MLA Style (8th edition)

  • Jamar-Kattel, Prakash. "Locating Critical Infrastructure Considering its Dependency with Connected Supporting Stations ." Master's thesis, Ohio University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1547044104211674

    Chicago Manual of Style (17th edition)

ohiou1547044104211674
365
© 2019, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.