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A special game against nature is examined in this paper, in which nature controls timings of repairable and non-repairable failures of a system of equipment, and preventive maintenance, repairs and preventive replacement policies are the countermeasures. We optimize the imperfect preventive maintenance policy for a multi-unit system with different initial virtual age units. We develop a binary integer programming problem, where the management decides on the optimal preventive maintenance policy to minimize the total expected maintenance cost not to exceed a given budget. The mathematical formulation is developed for a multi-unit system, considering different preventive maintenance levels for each unit. Numerical examples with sensitivity analysis are performed to illustrate the performance and efficiency of the proposed model. Also, the model is examined for a real case study from railway industry. The results determine the optimal preventive maintenance policy and provide managerial insights based on computational analysis.
Maryam Hamidi; Reza Maihami; Behnam Rahimikelarijani. Optimizing Imperfect Preventive Maintenance Policy for a Multi-unit System with Different Virtual Ages. Games and Dynamics in Economics 2020, 233 -255.
AMA StyleMaryam Hamidi, Reza Maihami, Behnam Rahimikelarijani. Optimizing Imperfect Preventive Maintenance Policy for a Multi-unit System with Different Virtual Ages. Games and Dynamics in Economics. 2020; ():233-255.
Chicago/Turabian StyleMaryam Hamidi; Reza Maihami; Behnam Rahimikelarijani. 2020. "Optimizing Imperfect Preventive Maintenance Policy for a Multi-unit System with Different Virtual Ages." Games and Dynamics in Economics , no. : 233-255.
This paper proposes an AIS-data-based model to accurately estimate vessels' travel time and its distribution between any two points in a narrow channel. It is crucial to know the travel time (plus its distribution) between some critical points for traffic control. The model has two components: (1) to identify a vessel's destination dock, and its arrival and departure times (the key is how to separate a vessel's trips); and (2) to estimate a vessel's travel time from its destination dock (or a specific point) to another specific point, or vice versa. Travel time between two points is called traversal time. The proposed algorithms were then applied to the Houston Ship Channel (HSC) with the AIS data of 11 months in 2017, focusing on the outbound trips in the section above the Beltway-8 Bridge. Through the travel times of cargos and tankers from their destination docks to a point are likely to be normally distributed, their traversal times between two points are more likely to be lognormally distributed. The traversal time distribution is significantly impacted by vessel width, draft and type, but independent from time-of-day and month. The adjacent link traversal times are also highly positively correlated.
Xing Wu; Uttara Roy; Maryam Hamidi; Brian N. Craig. Estimate travel time of ships in narrow channel based on AIS data. Ocean Engineering 2020, 202, 106790 .
AMA StyleXing Wu, Uttara Roy, Maryam Hamidi, Brian N. Craig. Estimate travel time of ships in narrow channel based on AIS data. Ocean Engineering. 2020; 202 ():106790.
Chicago/Turabian StyleXing Wu; Uttara Roy; Maryam Hamidi; Brian N. Craig. 2020. "Estimate travel time of ships in narrow channel based on AIS data." Ocean Engineering 202, no. : 106790.
We address a maintenance outsourcing problem where the owner of a piece of critical equipment plans on outsourcing preventive and failure replacement services to a service agent. The owner (i.e., customer) and the agent negotiate on the maintenance policy and spare part ordering strategy in the service contract. We first provide the classical Nash bargaining solution to the problem and analytically determine the optimal threat values the decision makers can use in negotiation. We then extend the model and show how the decision makers can increase their profits through a price discount scheme, which requires the total profit to be achieved at the maximum level. The total maximum profit is analytically determined, and the effects of the price discount scheme and threats on the individual and total profits are illustrated through a numerical study.
Maryam Hamidi; Haitao Liao. Maintenance Outsourcing Contracts Based on Bargaining Theory. Optimization and Dynamics with Their Applications 2017, 257 -279.
AMA StyleMaryam Hamidi, Haitao Liao. Maintenance Outsourcing Contracts Based on Bargaining Theory. Optimization and Dynamics with Their Applications. 2017; ():257-279.
Chicago/Turabian StyleMaryam Hamidi; Haitao Liao. 2017. "Maintenance Outsourcing Contracts Based on Bargaining Theory." Optimization and Dynamics with Their Applications , no. : 257-279.