Coordination of User and Agency Costs Using Two-Level Approach for Pavement Management Optimization

2017 ◽  
Vol 2639 (1) ◽  
pp. 110-118 ◽  
Author(s):  
André V. Moreira ◽  
Tien F. Fwa ◽  
Joel R. M. Oliveira ◽  
Lino Costa
Keyword(s):  
Life Cycle ◽  
Agency Costs ◽  
Optimization Problems ◽  
Pavement Management ◽  
Life Cycle Costs ◽  
Optimal Solutions ◽  
User Costs ◽  
Conflicting Objectives ◽  
Optimization Methodology ◽  
Management Optimization

Pavement maintenance and rehabilitation programming requires the consideration of conflicting objectives to optimize its life-cycle costs. While there are several approaches to solve multiobjective problems for pavement management systems, when user costs or environmental impacts are considered the optimal solutions are often impractical to be accepted by road agencies, given the dominating share of user costs in the total life-cycle costs. This paper presents a two-stage optimization methodology that considers maximization of pavement quality and minimization of agency costs as the objectives to be optimized at the pavement section level, while at the network level, the objectives are to minimize agency and user costs. The main goal of this approach is to provide decision makers with a range of optimal solutions from which a practically implementable one could be selected by the agency. A sensitivity analysis and some trade-off graphics illustrate the importance in balancing all the objectives to obtain reasonable solutions for highway agencies. Multiobjective optimization problems at both levels are solved using genetic algorithms. The results of a case study indicate the applicability of the methodology.

Multi Objective Design Optimization of Two Bar Truss Using NSGA II and TOPSIS

2014 ◽  
Vol 984-985 ◽  
pp. 419-424
Author(s):  
P. Sabarinath ◽  
M.R. Thansekhar ◽  
R. Saravanan
Keyword(s):  
Design Optimization ◽  
Optimization Problems ◽  
Optimization Methods ◽  
Optimal Solutions ◽  
Objective Functions ◽  
Nsga Ii ◽  
Multi Objective ◽  
Total Displacement ◽  
Design Variables ◽  
Conflicting Objectives

Arriving optimal solutions is one of the important tasks in engineering design. Many real-world design optimization problems involve multiple conflicting objectives. The design variables are of continuous or discrete in nature. In general, for solving Multi Objective Optimization methods weight method is preferred. In this method, all the objective functions are converted into a single objective function by assigning suitable weights to each objective functions. The main drawback lies in the selection of proper weights. Recently, evolutionary algorithms are used to find the nondominated optimal solutions called as Pareto optimal front in a single run. In recent years, Non-dominated Sorting Genetic Algorithm II (NSGA-II) finds increasing applications in solving multi objective problems comprising of conflicting objectives because of low computational requirements, elitism and parameter-less sharing approach. In this work, we propose a methodology which integrates NSGA-II and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for solving a two bar truss problem. NSGA-II searches for the Pareto set where two bar truss is evaluated in terms of minimizing the weight of the truss and minimizing the total displacement of the joint under the given load. Subsequently, TOPSIS selects the best compromise solution.

Probabilistic Characterization of Life-Cycle Agency and User Costs: Case Study of Minnesota

2017 ◽  
Vol 2639 (1) ◽  
pp. 93-101 ◽  
Author(s):  
Mehdi Akbarian ◽  
Omar Swei ◽  
Randolph Kirchain ◽  
Jeremy Gregory
Keyword(s):  
Life Cycle ◽  
Cost Analysis ◽  
Life Cycle Cost ◽  
Life Cycle Costs ◽  
Potential Implication ◽  
User Costs ◽  
Probabilistic Characterization ◽  
The Cost

Life-cycle cost analysis (LCCA) is a commonly used approach by pavement engineers to compare the economic efficiency of alternative pavement design and maintenance strategies. Over the past two decades, the pavement community has augmented the LCCA framework used in practice by explicitly accounting for uncertainty in the decision-making process and incorporating life-cycle costs not only to the agency but also to the users of a facility. This study represents another step toward improving the LCCA process by focusing on methods to characterize the cost of relevant pay items for an LCCA as well as integrating costs accrued to users of a facility caused by pavement–vehicle interaction (PVI) and work zone delays. The developed model was implemented in a case study to quantify the potential implication of both of these components on the outcomes of an LCCA. Results from the construction cost analysis suggest that the proposed approaches in this paper lead to high-fidelity estimates that outperform current practice. Furthermore, results from the case study indicate that PVI can be a dominant contributor to total life-cycle costs and, therefore, should be incorporated in future LCCAs.

Multiobjective Optimization in Water and Environmental Systems Management- MODE Approach

2016 ◽  
pp. 120-136
Author(s):  
Janga Reddy Manne
Keyword(s):  
Optimization Problems ◽  
Effective Means ◽  
Optimal Solution ◽  
Simultaneous Optimization ◽  
Pareto Optimal Solutions ◽  
Optimal Solutions ◽  
Systems Management ◽  
Multi Objective ◽  
Environmental Systems ◽  
Conflicting Objectives

Many real world problems are characterized by multiple goals, often conflicting in nature and compete with one another. Multi-objective optimization problems (MOOPs) require the simultaneous optimization of several non-commensurable and conflicting objectives. In the past, several studies have used conventional approaches to solve the MOOPs by adopting weighted approach or constrained approach, which may face difficulties while generating Pareto optimal solutions, if optimal solution lies on non-convex or disconnected regions of the objective function space. An effective algorithm should have an ability to learn from earlier performance to direct proper selection of weights for further evolutions. To achieve these goals, multi-objective evolutionary algorithms (MOEAs) have become effective means in recent past, which can generate a population of solutions in each iteration and offer a set of alternatives in a single run. This chapter presents an effective MOEA, namely multi-objective differential evolution (MODE) for problems of solving water, environmental systems.

The effects of expansion joint design on bridge life-cycle costs - initial investment versus total cost of ownership

2021 ◽  
Author(s):  
Arneaux Vide L’eau ◽  
Adel Yousfi ◽  
Niculin Meng
Keyword(s):  
Life Cycle ◽  
Optimal Solution ◽  
Life Cycle Costs ◽  
Construction Costs ◽  
Expansion Joints ◽  
User Costs ◽  
Repair Costs ◽  
Individual Structure ◽  
Continuous Movements

<p>The need to maximise long-term value for money supports the consideration of life-cycle costs rather than just initial construction costs when investing in key infrastructure such as bridges. This is especially true in the case of a bridge’s expansion joints, which are much less robust than the structure as a whole yet subjected to continuous movements and dynamic loading. The life-cycle costs of a bridge’s expansion joints may be considered to include not only initial supply and installation costs, but also maintenance and repair costs throughout their service life, and replacement costs, and the user costs associated with maintenance and replacement work – especially those relating to traffic disruption. Increasingly, the effects of avoidable work on the environment should also be considered. This paper will address this topic, discussing issues that should be considered in choosing the optimal solution for any individual structure.</p>

Life-Cycle Costs of Selected Uniformed Health Professions (Phase II: The Impact of Constraints and Policies on the Optimal-Mix-of-Accession Model)

2003 ◽  
Author(s):  
Shayne Brannman ◽  
Eric W. Christensen ◽  
Ronald H. Nickel ◽  
Cori Rattelman ◽  
Richard D. Miller
Keyword(s):  
Life Cycle ◽  
Phase Ii ◽  
Health Professions ◽  
Life Cycle Costs ◽  
Optimal Mix ◽  
The Impact

scholarly journals Optimal Renovation Strategies through Life-Cycle Analysis in a Pilot Building Located in a Mild Mediterranean Climate

2021 ◽  
Vol 11 (4) ◽  
pp. 1423
Author(s):  
José Manuel Salmerón Lissen ◽  
Cristina Isabel Jareño Escudero ◽  
Francisco José Sánchez de la Flor ◽  
Miriam Navarro Escudero ◽  
Theoni Karlessi ◽  
...  
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Mediterranean Climate ◽  
Building Envelope ◽  
Economic Life ◽  
Hot Water ◽  
Optimal Solutions ◽  
Building Stock ◽  
Existing Building ◽  
The Cost

The 2030 climate and energy framework includes EU-wide targets and policy objectives for the period 2021–2030 of (1) at least 55% cuts in greenhouse gas emissions (from 1990 levels); (2) at least 32% share for renewable energy; and (3) at least 32.5% improvement in energy efficiency. In this context, the methodology of the cost-optimal level from the life-cycle cost approach has been applied to calculate the cost of renovating the existing building stock in Europe. The aim of this research is to analyze a pilot building using the cost-optimal methodology to determine the renovation measures that lead to the lowest life-cycle cost during the estimated economic life of the building. The case under study is an apartment building located in a mild Mediterranean climate (Castellon, SP). A package of 12 optimal solutions has been obtained to show the importance of the choice of the elements and systems for renovating building envelopes and how energy and economic aspects influence this choice. Simulations have shown that these packages of optimal solutions (different configurations for the building envelope, thermal bridges, airtightness and ventilation, and domestic hot water production systems) can provide savings in the primary energy consumption of up to 60%.

Impacts of Various Maintenance Tasks on Life-cycle Costs of a Power Grid Project

2020 ◽  
Author(s):  
Shuyan Zhang ◽  
Shuyin Duan ◽  
Fushuan Wen ◽  
Farhad Shahnia ◽  
Qingfang Chen ◽  
...  
Keyword(s):  
Life Cycle ◽  
Power Grid ◽  
Life Cycle Costs

scholarly journals Impact of Cycle Time and Payload of an Industrial Robot on Resource Efficiency

Robotics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 33
Author(s):  
Florian Stuhlenmiller ◽  
Steffi Weyand ◽  
Jens Jungblut ◽  
Liselotte Schebek ◽  
Debora Clever ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Resource Efficiency ◽  
Life Cycle Costs ◽  
Gas Emissions ◽  
Cycle Times ◽  
The Individual

Modern industry benefits from the automation capabilities and flexibility of robots. Consequently, the performance depends on the individual task, robot and trajectory, while application periods of several years lead to a significant impact of the use phase on the resource efficiency. In this work, simulation models predicting a robot’s energy consumption are extended by an estimation of the reliability, enabling the consideration of maintenance to enhance the assessment of the application’s life cycle costs. Furthermore, a life cycle assessment yields the greenhouse gas emissions for the individual application. Potential benefits of the combination of motion simulation and cost analysis are highlighted by the application to an exemplary system. For the selected application, the consumed energy has a distinct impact on greenhouse gas emissions, while acquisition costs govern life cycle costs. Low cycle times result in reduced costs per workpiece, however, for short cycle times and higher payloads, the probability of required spare parts distinctly increases for two critical robotic joints. Hence, the analysis of energy consumption and reliability, in combination with maintenance, life cycle costing and life cycle assessment, can provide additional information to improve the resource efficiency.

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