CAPEX and OPEX Expenditures

Amado, Luiz

doi:10.1016/b978-1-85617-853-2.00009-0

Cited by 2 publications

(1 citation statement)

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“…Moreover, a system with overcapacity minimizes the failure effect and considers the possibility of replacing an unavailable element with a standby element or increasing the idle capacity of other elements. From a capital expenditure (CAPEX) point of view, fleet sizing with overcapacity increases the required investment but reduces OPEX due to higher fleet availability (Amado 2013).…”

Section: Fleet Sizing With Overcapacitymentioning

confidence: 99%

Fleet optimization considering overcapacity and load sharing restrictions using genetic algorithms and ant colony optimization

Kristjanpoller

Michell

Kristjanpoller

et al. 2020

AIEDAM

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This paper presents a fleet model explained through a complex configuration of load sharing that considers overcapacity and is based on a life cycle cost (LCC) approach for cost-related decision-making. By analyzing the variables needed to optimize the fleet size, which must be evaluated in combination with the event space method (ESM), the solution to this problem would normally require high computing performance and long computing times. Considering this, the combined use of an integer genetic algorithm (GA) and the ant colony optimization (ACO) method was proposed in order to determine the optimal solution. In order to analyze and highlight the added value of this proposal, several empirical simulations were performed. The results showed the potential strengths of the proposal related to its flexibility and capacity in solving large problems with a near optimal solution for large fleet size and potential real-world applications. Even larger problems can be solved this way than by using the complete enumeration approach and a non-family fleet approach. Thus, this allows for a more real solution to fleet design that also considers overcapacity, availability, and an LCC approach. The simulations showed that the model can be solved in much less time compared with the base model and allows for the resolution of a fleet of at least 64 trucks using GA and 130 using ACO, respectively. Thus, the proposed framework can solve real-world problems, such as the fleet design of mining companies, by offering a more realistic approach.

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Section: Fleet Sizing With Overcapacitymentioning

confidence: 99%

Fleet optimization considering overcapacity and load sharing restrictions using genetic algorithms and ant colony optimization

Kristjanpoller

Michell

Kristjanpoller

et al. 2020

AIEDAM

View full text Add to dashboard Cite

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Improving Business Performance by Employing Virtualization Technology: A Case Study in the Financial Sector

2021

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The financial crisis of the last decade has left many financial institutions with limited personnel and equipment resources. Thus, the IT departments of these institutions are being asked to explore novel approaches to resolve these constraints in a cost-effective and efficient manner. The goal of this paper is to measure the impact of modern enabling technologies, such as virtualization, in the process of replacing legacy infrastructures. This paper proposes an IT services upgrade plan approach for an organization by using modern technologies. For this purpose, research took place in an operating financial institution, which required a significant upgrade of both its service-level and its hardware infrastructure. A virtualization implementation and deployment assessment for the entire infrastructure was conducted and the resulting consolidated data are presented and analysed. The paper concludes with a five-year financial-based evaluation of the proposed approach with respect to the projection of expenditures, the return of investment and profitability.

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CAPEX and OPEX Expenditures

Cited by 2 publications

References 0 publications

Fleet optimization considering overcapacity and load sharing restrictions using genetic algorithms and ant colony optimization

Fleet optimization considering overcapacity and load sharing restrictions using genetic algorithms and ant colony optimization

Improving Business Performance by Employing Virtualization Technology: A Case Study in the Financial Sector

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