scholarly journals OPTIMIZATION ASSIGNMENT OF WESTERN PATROL UNIT (KRI) ELEMENT IN SEA SECURITY OPERATIONS IN RIAU ISLANDS WATER AREAS USING SET COVERING MODEL

JOURNAL ASRO ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 42
Author(s):  
Agus Setiadji ◽  
Didit Herdiawan ◽  
Benny Sukandari ◽  
Muksin Muksin
Keyword(s):  
Critical Points ◽  
Set Covering ◽  
Limited Information ◽  
Location Selection ◽  
Operational Costs ◽  
Discrete Approach ◽  
Covering Method ◽  
Security Operations ◽  
Covering Model ◽  
High Level

The territorial waters of Riau Islands are one of the locations with a high level of vulnerability to violations in thesea in Indonesia, because this region is directly adjacent to neighboring countries and is an international tradeand shipping route. One of the roles of the Indonesian Navy is to maintain the security of national jurisdictions,including in the territorial waters of Riau Islands, which are then realized in Operation Sea Security, where theimplementation still has several constraints, namely budget constraints, technical capabilities, number of ships,limited information, and limitations supporting facilities, so that the implementation of Marine SecurityOperations is not optimal. The main reason is the placement of patrol boats during operations is not wellorganized. With these problems, a study was conducted using the set covering method to get the most optimallocation for patrol boat placement with as few ships as possible but still be able to reach the entire waters of theRiau Islands and minimize operational costs. In this study a discrete approach was taken, namely thedetermination of the critical points, which numbered 37 vulnerable points. All these points must be affordable bythe ship on duty.Keywords: Set Covering, Location Selection, Marine Security Operations, Riau Islands Waters Region

scholarly journals Sustainable Location Selection of Data Centers: Developing a Multi-Criteria Set-Covering Decision-Making Methodology

2020 ◽  
Vol 19 (03) ◽  
pp. 741-773
Author(s):  
Siamak Kheybari ◽  
Mansoor Davoodi Monfared ◽  
Hadis Farazmand ◽  
Jafar Rezaei
Keyword(s):  
Data Center ◽  
Data Centers ◽  
Social Economic ◽  
Set Covering ◽  
Online Questionnaire ◽  
Location Selection ◽  
Sustainability Criteria ◽  
Proposed Model ◽  
Covering Model ◽  
Selection Of

In this paper, a multi-criteria set-covering methodology is proposed to select suitable locations for a set of data centers. First, a framework of criteria, with social, economic and environmental dimensions, is presented. The framework is used to calculate the suitability of potential data center locations in Iran. To that end, a sample of specialists in Iran was asked to take part in an online questionnaire, based on best–worst method (BWM), to determine the weight of the criteria included in the proposed framework, after which a number of potential locations are evaluated on the basis of the criteria. The proposed model is evaluated under a number of settings. Using the proposed multi-criteria set-covering model, not only the utility of candidate places is evaluated by sustainability criteria but also all service applicants are covered by at least one data center with a specific coverage radius.

scholarly journals Risk Assessment of Critical Solid Waste Points in Lima, Peru, using the Grey Clustering Method

2019 ◽  
Vol 8 (12) ◽  
pp. 4988-4993
Keyword(s):  
Solid Waste ◽  
Critical Points ◽  
Risk Evaluation ◽  
Social Impact ◽  
Limited Information ◽  
Clustering Method ◽  
Landscape Characteristics ◽  
Grey Clustering ◽  
High Level ◽  
Regional Authorities

The district of Comas in Lima, Peru, is considered one of the districts with the highest number of critical points due to the accumulation of solid waste, causing the proliferation of vectors and the generation of bad smells, producing in this way a negative environmental and social impact on the population and on the landscape characteristics of the environment. The objective of this investigation is to evaluate the risk produced by the critical points of solid waste identified in Tupac Amaru Avenue, in the district of Comas, using the Grey Clustering method. This method allows to consider the uncertainty in the analysis being an adequate methodology for the evaluation of the risk of critical points since it is an issue of high level of uncertainty due to the limited information. The criteria for the evaluation of the risk of the critical points are according to the methodology of the Risk Evaluation Guide of the Ministry of the Environment. Five critical points of solid waste identified in the corresponding Tupac Amaru Avenue in all Zone 1 of the district of Comas were evaluated during 3 days. The results revealed that the three of the monitoring points present moderate risk and two slight risk. This study could be a useful tool for decision making by local and regional authorities to prioritize critical points for eradication and prevention

scholarly journals PATROL SHIPS ASSIGNMENT MODEL IN EASTERN AREA OF INDONESIA WATER USING SET COVERING

JOURNAL ASRO ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 30
Author(s):  
Okol Sri Suharyo ◽  
Oyu Mulia S ◽  
Ahmadi Ahmadi
Keyword(s):  
Analytic Network Process ◽  
Initial Position ◽  
Maritime Security ◽  
Set Covering ◽  
Eastern Area ◽  
Network Process ◽  
National Jurisdiction ◽  
Security Operations ◽  
Covering Model ◽  
Initial Base

ABSTRACT Maintaining stability of the National jurisdiction security, particularly in the Indonesian eastern waters is one of the roles of Indonesian Navy which is implemented in the Maritime Security Opeation (MSO) by assigning Navy Patrol Ships (PC). In terms of capabilities and the number of Indonesian PC compared to the extensive area of the MSO sector, it still considered to be not optimal, so the Navy need to think and perform right calculations in the assignment of PC and choose Navy Bases as the initial position of MSO by PC. This study aims to create a set covering model in calculating the assignment of patrol ships to create a set covering model to calculate the assignment of patrol ships optimally by minimizing assigned patrol ships number however can still cover all patrol sectors. This model also used the Analytic Network Process (ANP) approach to select the Naval base as the initial base for patrol ships in implementing MSO. Optimization results were to assign 12 patrol ships which could cover 18 patrol ships and 3 Naval bases from 9 bases that can be used as an initial base for PC in the implementation MSO.  Keywords: Naval Maritime Security Operations (MSO), Set Covering, Analytic Network Process (ANP)

scholarly journals Hierarchical decision processes that operate over distinct timescales underlie choice and changes in strategy

2016 ◽  
Vol 113 (31) ◽  
pp. E4531-E4540 ◽  
Author(s):  
Braden A. Purcell ◽  
Roozbeh Kiani
Keyword(s):  
Decision Making ◽  
Neural Mechanism ◽  
Decision Processes ◽  
Response Strategy ◽  
Limited Information ◽  
Decision Strategy ◽  
Stimulus Response ◽  
Hierarchical Decision ◽  
The Right ◽  
High Level

Decision-making in a natural environment depends on a hierarchy of interacting decision processes. A high-level strategy guides ongoing choices, and the outcomes of those choices determine whether or not the strategy should change. When the right decision strategy is uncertain, as in most natural settings, feedback becomes ambiguous because negative outcomes may be due to limited information or bad strategy. Disambiguating the cause of feedback requires active inference and is key to updating the strategy. We hypothesize that the expected accuracy of a choice plays a crucial rule in this inference, and setting the strategy depends on integration of outcome and expectations across choices. We test this hypothesis with a task in which subjects report the net direction of random dot kinematograms with varying difficulty while the correct stimulus−response association undergoes invisible and unpredictable switches every few trials. We show that subjects treat negative feedback as evidence for a switch but weigh it with their expected accuracy. Subjects accumulate switch evidence (in units of log-likelihood ratio) across trials and update their response strategy when accumulated evidence reaches a bound. A computational framework based on these principles quantitatively explains all aspects of the behavior, providing a plausible neural mechanism for the implementation of hierarchical multiscale decision processes. We suggest that a similar neural computation—bounded accumulation of evidence—underlies both the choice and switches in the strategy that govern the choice, and that expected accuracy of a choice represents a key link between the levels of the decision-making hierarchy.

scholarly journals Positioning household waste transfer points

2018 ◽  
Vol 2 (2) ◽  
pp. 76-85
Author(s):  
Eko Setiawan ◽  
Bekti Nugrahadi ◽  
Yesi Widiyastuti ◽  
Much Djunaidi ◽  
Suranto Suranto
Keyword(s):  
Waste Management ◽  
Set Covering ◽  
Household Waste ◽  
Minimum Amount ◽  
Management Issue ◽  
Central Java ◽  
Covering Method ◽  
Waste Transfer ◽  
Household Waste Management ◽  
Selection Of

In response to growing importance of household waste management issue, this article deals with the positioning of household waste transfer points from a government-organized waste perspective. By taking Surakarta, a municipality in Central Java, Indonesia as an example, the problem in the municipality is formulated as an MILP, is approached with a capacity-weighted set covering method, and finally is solved by using software LINGO 11. The article concludes that the transfer point alternatives of Sondakan Kuburan, Norowangsan, SPSA, Pajang Rel, Bonoloyo and Kedung Tungkul should be selected in order to be able to serve all the household waste producers for the maximum household waste generated. On the contrary, the selection of Sondakan Kuburan, Bonoloyo and Kedung Tungkul only should be able to provide service to all of the household waste produced for the scenario of minimum amount of household waste.

scholarly journals Set Covering Model in Solving Multiple Cutting Stock Problem

2020 ◽  
Vol 5 (4) ◽  
pp. 121
Author(s):  
Sisca Octarina ◽  
Devi Gusmalia Juita ◽  
Ning Eliyati ◽  
Putra Bahtera Jaya Bangun
Keyword(s):  
Column Generation ◽  
Pattern Generation ◽  
Cutting Stock Problem ◽  
Set Covering ◽  
Cutting Stock ◽  
Second Stage ◽  
Generation Technique ◽  
Cutting Pattern ◽  
Covering Model

Cutting Stock Problem (CSP) is the determination of how to cut stocks into items with certain cutting rules. A diverse set of stocks is called multiple stock CSP. This study used Pattern Generation (PG) algorithm to determine cutting pattern, then formulated it into a Gilmore and Gomory model and solved by using Column Generation Technique (CGT). Set Covering model was generated from Gilmore and Gomory model. Based on the results, selected cutting patterns in the first stage can be used in the second stage. The combination of patterns generated from Gilmore and Gomory model showed that the use of stocks was more effective than Set Covering model.  

Performance Measurement and E-Reporting

2012 ◽  
pp. 544-560
Author(s):  
Kathryn Kloby
Keyword(s):  
Public Sector ◽  
Performance Measurement ◽  
Government Performance ◽  
Limited Information ◽  
Agency Staff ◽  
Data Manipulation ◽  
The Public ◽  
Measurement Systems ◽  
Performance Measurement Systems ◽  
High Level

Public sector performance measurement systems are often designed by high-level administrators and agency staff. In many instances performance reports are treated as internal documents or provide limited information of how government actions impact the lives of citizens or fall short of expectations. Performance measurement and reporting approaches, however, are gradually changing to include citizens in the process and to communicate results in a more robust way to the public. This chapter explores the topic of e-reporting and the potential it offers to engage the public in the assessment of government performance. Three exemplary programs are examined: Virginia Performs, Maryland’s BayStat, and King County AIMs High. Each offers useful techniques for describing program objectives, showing government progress, making data available, and exploring interactive mechanisms that support data manipulation or customization. The chapter concludes with a discussion of future areas of research.

scholarly journals Hybrid Set Covering and Dynamic Modular Covering Location Problem: Application to an Emergency Humanitarian Logistics Problem

2020 ◽  
Vol 10 (20) ◽  
pp. 7110 ◽  
Author(s):  
Roghayyeh Alizadeh ◽  
Tatsushi Nishi
Keyword(s):  
Location Problem ◽  
Set Covering ◽  
Strategic Decisions ◽  
Maximal Covering ◽  
Planning Decisions ◽  
Tactical Decisions ◽  
Covering Model ◽  
Validation Tests ◽  
Capacitated Facilities

This paper presents an extension of the covering location problem as a hybrid covering model that utilizes the set covering and maximal covering location problems. The developed model is a multi-period model that considers strategic and tactical planning decisions. Hybrid covering location problem (HCLP) determines the location of the capacitated facilities by using dynamic set covering location problem as strategic decisions and assigns the constructive units of facilities and allocates the demand points by using dynamic modular capacitated maximal covering location problem as tactical decisions. One of the applications of the proposed model is locating first aid centers in humanitarian logistic services that have been addressed by studying a threat case study in Japan. In addition to validating the developed model, it has been compared to other possible combined problems, and several randomly generated examples have been solved. The results of the case study and model validation tests approve that the main hybrid developed model (HCLP) is capable of providing better coverage percentage compared to conventional covering models and other hybrid variants.

scholarly journals Research on Multi-Period Hydrogen Refueling Station Location Model in Jiading District

2021 ◽  
Vol 12 (3) ◽  
pp. 146
Author(s):  
Qianhui Zheng ◽  
Hong Lv ◽  
Wei Zhou ◽  
Cunman Zhang
Keyword(s):  
Fuel Cell ◽  
Location Model ◽  
Set Covering ◽  
Passenger Cars ◽  
Promoting Effect ◽  
Growth Trend ◽  
Weighting Method ◽  
Covering Model ◽  
Planning And Construction ◽  
Station Location

The construction of hydrogen refueling stations is an important part of the promotion of fuel cell vehicles. In this paper, a multi-period hydrogen refueling station location model is presented that can be applied to the planning and construction of hydrogen infrastructures. Based on the hydrogen demand of fuel cell passenger cars and commercial vehicles, the model calculates the hydrogen demand of each zone by a weighting method according to population, economic level and education level. Then, the hydrogen demand of each period is calculated using the generalized Bass diffusion model. Finally, the set covering model is improved to determine the locations of the stations. The new model is applied to the scientific planning of hydrogen refueling stations in Jiading District, Shanghai; the construction location and sequence of hydrogen refueling stations in each period are given, and the growth trend of hydrogen demand and the promoting effect of hydrogen refueling stations are analyzed. The model adopted in this model is then compared with the other two kinds of node-based hydrogen refueling station location models that have previously been proposed.

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