scholarly journals Pre-Selection of the Optimal Sitting of Phase-Shifting Transformers Based on an Optimization Problem Solved within a Coordinated Cross-Border Congestion Management Process

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3748 ◽  
Author(s):  
Endika Urresti-Padrón ◽  
Marcin Jakubek ◽  
Wojciech Jaworski ◽  
Michał Kłos
Keyword(s):  
Optimization Problem ◽  
Congestion Management ◽  
Decision Makers ◽  
Phase Shifting ◽  
Management Process ◽  
European Policy ◽  
Cross Border ◽  
Remedial Actions ◽  
The Cost ◽  
Selection Of

The current European policy roadmap aims at forcing the TSOs to coordinate remedial actions used for relieving the congestions in the synchronous power system. In this paper, an optimization problem for coordinated congestion management is described and its results obtained for a real European use cases created in the H2020 EU-SysFlex project are presented. First of all, these results prove the feasibility of a central optimization problem for the coordination of the cross-border congestion management process. Next, the formulated optimization problem is used to tackle the issue of planning the investments in phase-shifting transformers (PSTs), for the purpose of increasing the efficiency/decreasing the cost of congestion management. Finally, this paper introduces two optimization-based indicators for pre-selecting the investment sites, which may be used to support the decision makers aiming at decreasing the costs of coordinated congestion management.

scholarly journals Multi-Objective Pharmaceutical Portfolio Optimization under Uncertainty of Cost and Return

Mathematics ◽  
2021 ◽  
Vol 9 (18) ◽  
pp. 2339
Author(s):  
Mahboubeh Farid ◽  
Hampus Hallman ◽  
Mikael Palmblad ◽  
Johannes Vänngård
Keyword(s):  
Portfolio Optimization ◽  
Decision Makers ◽  
Optimization Under Uncertainty ◽  
Product Development Process ◽  
Multi Objective ◽  
Probability Of Success ◽  
Low Probability ◽  
Key Aspects ◽  
The Cost ◽  
Selection Of

This paper presents the study of multi-objective optimization of a pharmaceutical portfolio when both cost and return values are uncertain. Decision makers in the pharmaceutical industry encounter several challenges in deciding the optimal selection of drug projects for their portfolio since they have to consider several key aspects such as a long product-development process split into multiple phases, high cost and low probability of success. Additionally, the optimization often involves more than a single objective (goal) with a non-deterministic nature. The aim of the study is to develop a stochastic multi-objective approach in the frame of chance-constrained goal programming. The application of the results of this study allows pharmaceutical decision makers to handle two goals simultaneously, where one objective is to achieve a target return and another is to keep the cost within a finite annual budget. Finally, the numerical results for portfolio optimization are presented and discussed.

scholarly journals Solving the Asymmetry Multi-Objective Optimization Problem in PPPs under LPVR Mechanism by Bi-Level Programing

Symmetry ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 1667
Author(s):  
Feiran Liu ◽  
Jun Liu ◽  
Xuedong Yan
Keyword(s):  
Optimization Problem ◽  
Optimal Strategies ◽  
Decision Makers ◽  
Multi Objective Optimization ◽  
Pareto Solutions ◽  
Present Value ◽  
Public And Private ◽  
The Public ◽  
Multi Objective ◽  
The Cost

Optimizing the cost and benefit allocation among multiple players in a public-private partnership (PPP) project is recognized to be a multi-objective optimization problem (MOP). When the least present value of revenue (LPVR) mechanism is adopted in the competitive procurement of PPPs, the MOP presents asymmetry in objective levels, control variables and action orders. This paper characterizes this asymmetrical MOP in Stackelberg theory and builds a bi-level programing model to solve it in order to support the decision-making activities of both the public and private sectors in negotiation. An intuitive algorithm based on the non-dominated sorting genetic algorithm III (NSGA III) framework is designed to generate Pareto solutions that allow decision-makers to choose optimal strategies from their own criteria. The effectiveness of the model and algorithm is validated via a real case of a highway PPP project. The results reveal that the PPP project will be financially infeasible without the transfer of certain amounts of exterior benefits into supplementary income for the private sector. Besides, the strategy of transferring minimum exterior benefits is more beneficial to the public sector than to users.

scholarly journals Optimization of hydrometric monitoring network in urban drainage systems using information theory

2017 ◽  
Vol 76 (7) ◽  
pp. 1603-1613 ◽  
Author(s):  
J. Yazdi
Keyword(s):  
Urban Areas ◽  
Numerical Models ◽  
Monitoring Network ◽  
Cost Effective ◽  
Decision Makers ◽  
Modeling Framework ◽  
Optimal Monitoring ◽  
Shared Information ◽  
The Cost ◽  
Selection Of

Regular and continuous monitoring of urban runoff in both quality and quantity aspects is of great importance for controlling and managing surface runoff. Due to the considerable costs of establishing new gauges, optimization of the monitoring network is essential. This research proposes an approach for site selection of new discharge stations in urban areas, based on entropy theory in conjunction with multi-objective optimization tools and numerical models. The modeling framework provides an optimal trade-off between the maximum possible information content and the minimum shared information among stations. This approach was applied to the main surface-water collection system in Tehran to determine new optimal monitoring points under the cost considerations. Experimental results on this drainage network show that the obtained cost-effective designs noticeably outperform the consulting engineers’ proposal in terms of both information contents and shared information. The research also determined the highly frequent sites at the Pareto front which might be important for decision makers to give a priority for gauge installation on those locations of the network.

scholarly journals OPTIMIZATION OF EQUIPMENT RESERVE FOR INTELLECTUAL AUTOMATED SYSTEMS

2021 ◽  
Vol 2 (14) ◽  
pp. 87-99
Author(s):  
Vitaliy Chubaievskyi ◽  
Valery Lakhno ◽  
Berik Akhmetov ◽  
Olena Kryvoruchko ◽  
Dmytro Kasatkin ◽  
...  
Keyword(s):  
Neural Network ◽  
Control Systems ◽  
Optimization Problem ◽  
Destructive Interference ◽  
Network Analyzer ◽  
Calculation Methods ◽  
Automated Control ◽  
The Neural Network ◽  
The Cost ◽  
Selection Of

Algorithms for a neural network analyzer involved in the decision support system (DSS) during the selection of the composition of backup equipment (CBE) for intelligent automated control systems Smart City are proposed. A model, algorithms and software have been developed for solving the optimization problem of choosing a CBE capable of ensuring the uninterrupted operation of the IACS both in conditions of technological failures and in conditions of destructive interference in the operation of the IACS by the attackers. The proposed solutions help to reduce the cost of determining the optimal CBE for IACS by 15–17% in comparison with the results of known calculation methods. The results of computational experiments to study the degree of influence of the outputs of the neural network analyzer on the efficiency of the functioning of the CBE for IACS are presented.

Demystifying Private International Law for International Commercial Contracts

2019 ◽  
pp. 325-340
Author(s):  
Guillermo Argerich ◽  
María Laura Capalbo
Keyword(s):  
International Law ◽  
Legal System ◽  
Theoretical Approach ◽  
Private International Law ◽  
Cross Border ◽  
Raising Awareness ◽  
Facilitative Role ◽  
Suitable Framework ◽  
The Cost ◽  
Selection Of

Demystifying the difficulty in understanding the theoretical approach that private international law has traditionally adopted and translating this into a suitable framework for drafting relevant contractual clauses in international commercial contracts is the focus of this chapter, considering the perspective of the Argentinian and the Uruguayan laws. Most lawyers are used to applying the law of the legal system in which they have trained as practitioners. Faced with cross-border cases lawyers need to become familiar with private international law methodologies and techniques. Understanding the challenges of choosing the “appropriate” courts is important for raising awareness of any possible pitfalls in drafting contracts. The applicable framework in the case, the conditions required for an eventual enforcement judgement, the place where the evidence is located, the cost of the lawyers and transfers of parties and witnesses and the need for documents to be translated, are relevant facts to choose the competent courts, when it is allowed. Therefore, private international law has a facilitative role for contractual parties giving appropriate solutions in jurisdictional issues and offering efficient alternatives for the selection of the applicable regime, that must be known for all legal operators.

Determination of the minimum number of technological bases of a part

2020 ◽  
pp. 73-75
Author(s):  
B.M. Bazrov ◽  
T.M. Gaynutdinov
Keyword(s):  
Cost Price ◽  
Labor Input ◽  
Part Surface ◽  
Technological Base ◽  
Size Accuracy ◽  
Minimum Number ◽  
The Cost ◽  
Input Cost ◽  
Selection Of

The selection of technological bases is considered before the choice of the type of billet and the development of the route of the technological process. A technique is proposed for selecting the minimum number of sets of technological bases according to the criterion of equality in the cost price of manufacturing the part according to the principle of unity and combination of bases at this stage. Keywords: part, surface, coordinating size, accuracy, design and technological base, labor input, cost price. [email protected]

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

scholarly journals Designing Strong Privacy Metrics Suites Using Evolutionary Optimization

2021 ◽  
Vol 24 (2) ◽  
pp. 1-35
Author(s):  
Isabel Wagner ◽  
Iryna Yevseyeva
Keyword(s):  
Optimization Problem ◽  
Evolutionary Optimization ◽  
Multiple Objectives ◽  
Shared Value ◽  
Vehicular Communications ◽  
Open Problems ◽  
Value Range ◽  
Genomic Privacy ◽  
Metaheuristic Optimization Algorithms ◽  
Selection Of

The ability to measure privacy accurately and consistently is key in the development of new privacy protections. However, recent studies have uncovered weaknesses in existing privacy metrics, as well as weaknesses caused by the use of only a single privacy metric. Metrics suites, or combinations of privacy metrics, are a promising mechanism to alleviate these weaknesses, if we can solve two open problems: which metrics should be combined and how. In this article, we tackle the first problem, i.e., the selection of metrics for strong metrics suites, by formulating it as a knapsack optimization problem with both single and multiple objectives. Because solving this problem exactly is difficult due to the large number of combinations and many qualities/objectives that need to be evaluated for each metrics suite, we apply 16 existing evolutionary and metaheuristic optimization algorithms. We solve the optimization problem for three privacy application domains: genomic privacy, graph privacy, and vehicular communications privacy. We find that the resulting metrics suites have better properties, i.e., higher monotonicity, diversity, evenness, and shared value range, than previously proposed metrics suites.

scholarly journals Healthcare Expenditures Associated with Heart Failure in Saudi Arabia: A Cost of Illness Study

Healthcare ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 988
Author(s):  
Ahmed Alghamdi ◽  
Eman Algarni ◽  
Bander Balkhi ◽  
Abdulaziz Altowaijri ◽  
Abdulaziz Alhossan
Keyword(s):  
Heart Failure ◽  
Saudi Arabia ◽  
Cost Of Illness ◽  
Economic Burden ◽  
Indirect Costs ◽  
Health Care Expenditures ◽  
Decision Makers ◽  
Hospitalization Costs ◽  
Illness Study ◽  
The Cost

Heart failure (HF) is considered to be a global health problem that generates a significant economic burden. Despite the growing prevalence in Saudi Arabia, the economic burden of HF is not well studied. The aim of this study was to estimate the health care expenditures associated with HF in Saudi Arabia from a social perspective. We conducted a multicenter cost of illness (COI) study in two large governmental centers in Riyadh, Saudi Arabia using 369 HF patients. A COI model was developed in order to estimate the direct medical costs associated with HF. The indirect costs of HF were estimated based on a human capital approach. Descriptive and inferential statistics were analyzed. The direct medical cost per HF patient was $9563. Hospitalization costs were the major driver in total spending, followed by medication and diagnostics costs. The cost significantly increased in line with the disease progression, ranging from $3671 in class I to $16,447 in class IV. The indirect costs per working HF patient were $4628 due to absenteeism, and $6388 due to presenteeism. The economic burden of HF is significantly high in Saudi Arabia. Decision makers need to focus on allocating resources towards strategies that prevent frequent hospitalizations and improve HF management and patient outcomes in order to lower the growing economic burden.

Analysis of Overweight Truck Permit Policy in New Jersey

2021 ◽  
pp. 036119812110266
Author(s):  
Sami Demiroluk ◽  
Hani Nassif ◽  
Kaan Ozbay ◽  
Chaekuk Na
Keyword(s):  
New Jersey ◽  
Environmental Conditions ◽  
Decision Makers ◽  
Actual Cost ◽  
Department Of Transportation ◽  
Heavy Weight ◽  
Vehicle Route ◽  
Heavy Trucks ◽  
Maintenance And Rehabilitation ◽  
The Cost

The roadway infrastructure constantly deteriorates because of environmental conditions, but other factors such as exposure to heavy trucks exacerbates the rate of deterioration. Therefore, decision-makers are constantly searching for ways to optimize allocation of the limited funds for repair, maintenance, and rehabilitation of New Jersey’s infrastructure. New Jersey legislation requires operators of overweight (OW) trucks to obtain a permit to use the infrastructure. The New Jersey Department of Transportation (NJDOT) issues a variety of permits based on the types of goods carried. These permits allow OW trucks to use the infrastructure either for a single trip or for multiple trips. Therefore, one major concern is whether the permit revenue of the agency can recoup the actual cost of damage to the infrastructure caused by these OW trucks. This study investigates whether NJDOT’s current permit fee program can collect enough revenue to meet the actual cost of damage to the infrastructure caused by these heavy-weight permit trucks. The infrastructure damage is estimated by using pavement and bridge deterioration models and New Jersey permit data from 2013 to 2018 containing vehicle configuration and vehicle route. The analysis indicates that although the cost of infrastructure damage can be recovered for certain permit types, there is room for improvement in the permit program. Moreover, based on permit rules in other states, the overall rank of the New Jersey permit program is evaluated and possible revisions are recommended for future permit policies.

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