Predictive Operations and Maintenance Cost Model. Volume II.

1979 ◽  
Author(s):  
Erasmus E. Feltus
Author(s):  
Patrick DeCorla-Souza ◽  
Morteza Farajian

The purpose of this paper is twofold: ( a) to present a nontraditional, performance outcome–based public–private partnership (PPP) approach to finance and fund freeway reconstruction that relies not just on generating new revenue but also on optimizing scope and costs to achieve financial viability and ( b) to demonstrate how the approach can be evaluated for a specific project with an innovative value for money (VfM) assessment method that considers financial parameters, risk elements, and social benefits. The paper assesses the potential effects of the approach for a hypothetical project on ( a) the public agency’s financial position and ( b) public welfare. For this assessment, the effects of the project itself are assessed first by comparing conventional delivery of the project with “no build,” assuming that the project can be conventionally delivered in the same time frame as the PPP. Next, the effects of project acceleration are assessed by analyzing the effects of delaying conventional project delivery because of the public agency’s fiscal constraints. Finally, the PPP approach is compared with conventional delivery using public financing. The evaluation approach demonstrates how current VfM analysis practice may be enhanced by ( a) including a quantitative assessment of public welfare benefits and ( b) considering “no build” operations and maintenance cost savings to assess the net effect on the financial position of the agency.


2018 ◽  
Vol 7 (2.29) ◽  
pp. 269 ◽  
Author(s):  
Sylvia Gala Mong ◽  
Sarajul Fikri Mohamed ◽  
Mohd Saidin Misnan

The building maintenance is a crucial part of the life cycle of the building. The maintenance strategies are planned to maintain the condition of the building for specified functions. The maintenance planning requires a comprehensive assessment in determining the effectiveness of building performance, especially in the maintenance budgets planning process. The effective budget preparation will reduce the risk of cost overruns and help the organization to execute the repair works efficiently with sufficient resources. This study attempts to identify the issues related to maintenance cost and proposed the key strategies for improving the sustainable building maintenance budgeting in dealing with the cost overruns. This paper utilizes a qualitative approach through a literature review of secondary data from previous studies. The proposed cost model of maintenance strategies will be used as a basis for further investigation and validation towards promoting the sustainable building maintenance management. The studies identified the push factors that influence the maintenance cost; human factors, tools and equipment, spare parts and materials, funds allocation and available information. Each of the push factors needs to be well-considered to ensure that the maintenance activities can be done efficiently and to avoid the issues of cost overruns.  


Author(s):  
Mark Riley ◽  
Farid Taheri

In recent years the field of smart structures, including sensing and control, has been growing at an extraordinary rate. As of today, however, there has been relatively little work performed in applying this technology for monitoring and control of offshore and marine structures. In offshore environment, structures are subjected to critical loading cycles (e.g., wave action, temperature changes, and heavily corrosive environment to name a few), unparalleled to those in any other environment. With the costs that are associated with the manufacturing of marine vessels and structures, and their day-to-day operations and maintenance cost, the selection of an effective method of monitoring their performance and integrity, as well as their control is of paramount importance. In this paper, we will present a brief, yet detailed description of the different smart materials that are available for structural monitoring and control, such as electrorheological fluids, shape memory alloys, fiber optics, piezoelectrics, and magnetostrictives. We will also discuss the applications of these materials, including their advantages and shortfalls. The outlined discussion will help the reader to select the most optimum smart material for a given application. The paper will further discuss an ongoing investigation of a piezoelectric system that is currently being developed for implementation into fiber-reinforced composite panels used in marine vessel applications.


2019 ◽  
Vol 37 (5) ◽  
pp. 528-546
Author(s):  
Mohammad A. Hassanain ◽  
Mohammad Al-Zahrani ◽  
Abdullatif Abdallah ◽  
Ahmed M.Z. Sayed

Purpose The purpose of this paper is to identify and assess the significance of various factors affecting maintenance costs of public school facilities. Design/methodology/approach Detailed literature review resulted in identifying 54 factors that were categorized under nine groups. This was followed by a questionnaire survey completed by 60 experienced professionals. The relative importance index was used to determine the in-group ranking, as well as the overall ranking of these factors. Findings The study established that the five most significant factors affecting the maintenance cost of public school facilities were “not providing operations and maintenance manuals to maintenance group” in the “construction phase” category, “ignoring maintainability studies in design” in the “design phase” category, “specification of low-quality materials” in the “design phase” category, “selection criteria of contractors” in the “regulations and contracting” category, and “lack of quality control during work execution” in the “construction phase” category. Originality/value The present research represents the first research covering the maintenance cost of public school facilities in Saudi Arabia. The study also presents the unique landscape of facility maintenance in the Saudi Arabian context. The outcome of this research has the potential to significantly cut down unnecessary costs rooted in expensive maintenance of public school facilities, enhancing the quality of these facilities. The findings also underscore the necessity of collaboration and coordination of the various key disciplines toward the realization of cost-effective school facilities.


Author(s):  
Henry Price

As interest for clean renewable electric power technologies grows, a number of parabolic trough power plants of various configurations are being considered for deployment around the globe. It is essential that plant designs be optimized for each specific application. The optimum design must consider the capital cost, operations and maintenance cost, annual generation, financial requirements, and time-of-use value of the power generated. Developers require the tools for evaluating tradeoffs between these various project elements. This paper provides an overview of a computer model that is being used by scientists and developers to evaluate the tradeoff between cost, performance, and economic parameters for parabolic trough solar power plant technologies. An example is included which shows how this model has been used for a thermal storage design optimization.


2021 ◽  
Vol 13 (20) ◽  
pp. 11435
Author(s):  
Foday Conteh ◽  
Hiroshi Takahashi ◽  
Ashraf Mohamed Hemeida ◽  
Narayanan Krishnan ◽  
Alexey Mikhaylov ◽  
...  

The provision of electricity in a reliable and sustainable manner in provincial towns and villages in the small West Africa state of Sierra Leone requires the adoption of appropriate technologies. The rapid increase in electricity demand has generated great interest in how to tackle a possible long-lasting energy deficiency in the country. This paper aims at analyzing the techno-economic feasibility of a hybrid renewable energy system (HRES) for the sustainable rural electrification of Lungi Town, Port Loko District, Sierra Leone. Optimization, economic, reliability, and sustainability analyses were carried out using a genetic algorithm (GA), with the main objectives of minimizing the loss of power supply probability (LPSP) and cost of energy (COE). Three different case scenarios were configured, using a diesel generator (DG), wind/PV/DG/battery, and wind/PV/battery. Various combinations of these case scenarios were compared to determine which option was the most economically viable. In order to determine the case scenario with the lowest LPSP and COE, the operations and maintenance costs of the three cases were calculated. Using only DG for case one, the operations and maintenance cost amounted to USD 1,050,348.12/year. The operation and maintenance cost for case two, which included wind/PV/DG/battery, was found to be USD 561,674.06/year. The operations and maintenance cost for case three, which included wind/PV/battery, was found to be USD 36,000/year. In standalone microgrids, however, the use of renewable energy sources is not reliable due to the uncertainty of renewable energy sources. Consequently, the simulation results show that the wind/PV/DG/battery-based HRES is the most cost-effective, reliable, and sustainable for the specific location in comparison to the current traditional method of electricity generation. Since there is abundant solar radiation with substantial wind speeds across the country, this HRES can be applied in most rural and remote areas in place of the current diesel generators (DGs) that are widely deployed in the country.


Author(s):  
Akihiro Yamane ◽  
Kodo Ito ◽  
Yoshiyuki Higuchi

Social infrastructures such as roads and bridges are indispensable for our lives. They have to be maintained continuously and such maintenance has become a big issue in Japan. Social infrastructures are maintained under strict restrictions such as decreasing in local finance revenue and scarcity of skilful engineers. Various kinds of factors such as inspection periods, maintenance costs, and degradation levels, are necessary to consider in establishing efficient maintenance plans of social infrastructures. Furthermore, the special circumstances of social infrastructures such as the delay of constructions which is caused by the scarcity of budget, must be discussed for the efficient maintenance plan. For such discussion, the stochastic cost model which contains preventive and corrective maintenances is useful. Although these models have been studied in mechanical and electronic systems, unique characteristics of social infrastructures such as their enormous scale and delays due to maintenance budget restrictions must be considered when such social infrastructure models are discussed. In this paper, we establish maintenance models of infrastructures which some of preventive maintenance must be prolonged. The expected maintenance cost rate is established using the cumulative damage model and optimal policies which minimizes them are considered. Three basic models and their extended models which consider natural disasters are discussed.


Author(s):  
Alley Butler ◽  
Dan Baldwin ◽  
Mohit Kashyap

Maintenance costs are often significant for complex machinery, and organizations that are able to accurately assess maintenance costs for complex machinery can design or re-design the machinery to reduce maintenance expenses. This paper provides a review of relevant reliability theory to provide a background for model construction. The maintenance cost model is then developed from a probabilistic perspective, with a hierarchical breakdown of the complex machinery, and with consideration of the time value of money. A framework for the cost model is offered in which the cost of repair and preventative maintenance is considered along with the downtime costs for repair or preventative maintenance. As a proof of concept, maintenance costs for Ship Service Gas Turbine Generators (SSGTG) are developed from the Navy’s OARS (Open Architecture Retrieval System) data. Problems with data quality and heuristic adjustment of the data are discussed, recognizing that work is ongoing to improve the quality of the Navy’s maintenance data. Cognition Corporation’s Cost Advantage software is used for the modeling effort, providing an ability to focus on maintenance cost at any level of detail and to obtain cost roll up, as needed. Conclusions are drawn with respect to the modeling of maintenance costs for complex machinery.


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