Integrated methodology for decision making: Study of the main routes carrying dangerous cargoes in the Valparaiso region

2017 ◽  
Author(s):  
M López-Campos ◽  
C Nikulin ◽  
R González-Ramírez ◽  
L Ascencio
Keyword(s):  
Decision Making ◽  
Integrated Methodology

A Methodological Approach to Radical Technological Changes and Improvements in Electron Beam Technology

2010 ◽  
Author(s):  
Marco Cavallaro ◽  
Giovanni Moroni ◽  
Michael Zaeh ◽  
Stefan Lutzmann ◽  
Markus Kahnert
Keyword(s):  
Decision Making ◽  
Electron Beam ◽  
Statistical Approach ◽  
Methodological Approach ◽  
Dimensional Accuracy ◽  
Rapid Manufacturing ◽  
Manufacturing Processes ◽  
Technological Changes ◽  
Integrated Methodology ◽  
Influencing Parameters

Predicting of the optimal machining conditions for experimental results and dimensional accuracy plays an important role in process planning. In addition, whenever there is a new unknown process, great importance has to be placed on the estimation of all operative conditions with rational and logical planning methodologies. The aim of this work is to obtain feasible conditions for Electron Beam (EB) technology, using a welding machine, which is then converted for additive manufacturing processes. At the beginning of the research there was a state of uncertainty about the influencing parameters and the use of EB for rapid manufacturing process; a multi-disciplinary and integrated methodology was then performed in order to carry out the work. The proposed methodology is composed of several techniques, including a method to support multi-decision making problems and a statistical approach.

scholarly journals An Integrated Methodology for Rule Extraction from ELM-Based Vacuum Tank Degasser Multiclassifier for Decision-Making

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3535 ◽  
Author(s):  
Wang ◽  
Li ◽  
Zhang ◽  
Zou
Keyword(s):  
Decision Making ◽  
Liquid Steel ◽  
Classification Problem ◽  
Rule Extraction ◽  
Black Box ◽  
Production Data ◽  
Integrated Methodology ◽  
Irrelevant Attributes ◽  
Learning Machine ◽  
Elm Classifier

The present work proposes an integrated methodology for rule extraction in a vacuum tank degasser (VTD) for decision-making purposes. An extreme learning machine (ELM) algorithm is established for a three-class classification problem according to an end temperature of liquid steel that is higher than its operating restriction, within the operation restriction and lower than the operating restriction. Based on these black-box model results, an integrated three-step approach for rule extraction is constructed to interpret the understandability of the proposed ELM classifier. First, the irrelevant attributes are pruned without decreasing the classification accuracy. Second, fuzzy rules are generated in the form of discrete input attributes and the target classification. Last but not the least, the rules are refined by generating rules with continuous attributes. The novelty of the proposed rule extraction approach lies in the generation of rules using the discrete and continuous attributes at different stages. The proposed method is analyzed and validated on actual production data derived from a No.2 steelmaking workshop in Baosteel. The experimental results revealed that the extracted rules are effective for the VTD system in classifying the end temperature of liquid steel into high, normal, and low ranges. In addition, much fewer input attributes are needed to implement the rules for the manufacturing process of VTD. The extracted rules serve explicit instructions for decision-making for the VTD operators.

An Integrated Methodology for the Emergency Logistics Centers Location Selection Problem and its Application for the Turkey Case

2015 ◽  
Vol 12 (1) ◽  
Author(s):  
Umut Rifat Tuzkaya ◽  
Kadriye Busra Yilmazer ◽  
Gulfem Tuzkaya
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Analytic Network Process ◽  
Weight Changes ◽  
Location Selection ◽  
Expert Opinions ◽  
Integrated Methodology ◽  
Emergency Logistics ◽  
Network Process ◽  
Selection Methodology

AbstractUrgent response is vitally important after unpredictable disasters and it is highly dependent to the location of the emergency centers. Considering this importance degree, in this study, a location selection methodology for emergency logistics centers (ELCs) is proposed. There are various influencing factors or criteria to choose the most convenient locations for ELCs. However, we focused on some of the most important and prior criteria to obtain a more feasible approach and less calculation intensity. The main point is ranking and weighting the convenient locations or cities for constructing an ELC in a region or country. The alternative locations are chosen through the mostly natural disaster-prone cities. Decision criteria are determined according to the expert opinions. Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) methods are integrated to determine the convenient locations considering the relations between criteria and alternative locations. Afterwards, a real life application of the proposed methodology is realized for the Turkey case. Finally, results are examined and analyzed in terms of their sensitivity on the criteria weight changes.

scholarly journals Innovative manufacturing planning based on integrated methodology of rational alternative selection

2021 ◽  
Vol 5 (2) ◽  
pp. 30-39
Author(s):  
Iryna Kryvonohova ◽  
Yulia Brovkina
Keyword(s):  
Decision Making ◽  
General Structure ◽  
Multicriteria Decision Making ◽  
Innovation Activity ◽  
Decision Making Process ◽  
Integrated Methodology ◽  
Major Factors ◽  
High Level ◽  
Effectiveness Assessment ◽  
Selection Of

Introduction. Innovation is one of the major factors of economic growth in modern economy on the macrolevel, and a prominent contributor to an enterprise's profit increase at microlevel. Nevertheless, innovation activity is accompanied by a high level of risk and may cause significant losses. Thus, the problem of limiting the risk by developing rational methods of decision making is relevant. Aim and tasks. The article aims at development of integrated methodology for taking a decision as to selection of rational innovative production alternative based on the usage of a group of decision making methods in dependency on conditions under which the decision is being taken. Results. The article analyses decision making process in the context of system approach and defines stages of decision making. Criteria of effective decision are described and classified. Methods of decision making are observed and classified according to the conditions of decision making. The necessary components of integrated methodology of  selection of rational innovative production alternative are defined. The formation principles and general structure of the integrated methodology of selection of rational innovative production alternative are described. Conclusions. The task of decision effectiveness assessment is complicated by simultaneous existence of number of performance goals with different suitability for formal evaluation, negative correlation between speed and accuracy of decision making, and temporal distance between decision making process and goal achievement, which requires employment of discounting methods. The above-mentioned factors determine the necessity for an integrated criterion, which includes economic efficiency indicators but is not reduced to them. Thus, integrated methodology of selection of rational innovative production alternative consists of multicriteria decision making solution, assessment of sufficient range of alternatives, allowance for uncertainty as to input information about criteria, inclusion of different types of criteria measurement, provision of possibility to use alternative information at all stages of decision making process.

Risk-Based Inspection of Refinery Units: A Practical Application

2005 ◽  
Vol 297-300 ◽  
pp. 2687-2692
Author(s):  
Song Chun Choi ◽  
Sang In Han ◽  
Hee Jun Jung ◽  
Ji Yoon Kim
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Risk Management ◽  
Reliability Assessment ◽  
Maintenance Planning ◽  
Practical Application ◽  
Integrated Methodology ◽  
Regulatory Bodies ◽  
Inspection And Maintenance ◽  
Maintenance Decision

Recently, regulatory bodies quite often encourage to adopt risk-based inspection (RBI) and management programs because they can enhance safety simultaneously with deregulation in Korea. RBI is an integrated methodology that factors risk into inspection and maintenance decision making. This paper describes an example of how to use known risk assessment codes (API 580, API 581 BRD) to address such safety analysis requirements for risk management in the refining industry. Specifically, this paper reports the methodology and the results of application to the refinery units using the KGS-RBITM program, developed by the Korea Gas Safety Corporation in reference of API Codes and ASME PC (Post Construction) with a suitable consideration of Korean situation. The results of the risk and reliability assessment using KGS-RBITM program are useful in determining whether the detected defects are tolerable or required to be repaired. The subsequent decisions are to manage the future inspection, repair and maintenance planning in the risk reduction control.

scholarly journals Integrated Methodology for Urban Flood Risk Mapping at the Microscale in Ungauged Regions: A Case Study of Hurghada, Egypt

2020 ◽  
Vol 12 (21) ◽  
pp. 3548
Author(s):  
Karim I. Abdrabo ◽  
Sameh A. Kantoush ◽  
Mohamed Saber ◽  
Tetsuya Sumi ◽  
Omar M. Habiba ◽  
...  
Keyword(s):  
Decision Making ◽  
Flood Risk ◽  
Input Data ◽  
Hazard Maps ◽  
High Quality ◽  
Urban Flood ◽  
Integrated Methodology ◽  
Vulnerability Maps ◽  
Flood Risk Mapping

Flood risk mapping forms the basis for disaster risk management and the associated decision-making systems. The effectiveness of this process is highly dependent on the quality of the input data of both hazard and vulnerability maps and the method utilized. On the one hand, for higher-quality hazard maps, the use of 2D models is generally suggested. However, in ungauged regions, such usage becomes a difficult task, especially at the microscale. On the other hand, vulnerability mapping at the microscale suffers limitations as a result of the failure to consider vulnerability components, the low spatial resolution of the input data, and the omission of urban planning aspects that have crucial impacts on the resulting quality. This paper aims to enhance the quality of both hazard and vulnerability maps at the urban microscale in ungauged regions. The proposed methodology integrates remote sensing data and high-quality city strategic plans (CSPs) using geographic information systems (GISs), a 2D rainfall-runoff-inundation (RRI) simulation model, and multicriteria decision-making analysis (MCDA, i.e., the analytic hierarchy process (AHP)). This method was implemented in Hurghada, Egypt, which from 1996 to 2019 was prone to several urban flood events. Current and future physical, social, and economic vulnerability maps were produced based on seven indicators (land use, building height, building conditions, building materials, total population, population density, and land value). The total vulnerability maps were combined with the hazard maps based on the Kron equation for three different return periods (REPs) 50, 10, and 5 years to create the corresponding flood risk maps. In general, this integrated methodology proved to be an economical tool to overcome the scarcity of data, to fill the gap between urban planning and flood risk management (FRM), and to produce comprehensive and high-quality flood risk maps that aid decision-making systems.

Development and Application of Risk-Based Inspection for Refinery Unit

2005 ◽  
Author(s):  
Song-Chun Choi ◽  
Sang-In Han ◽  
Hee J. Jung ◽  
Ji-Yoon Kim ◽  
Sung-Jin Song
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Risk Management ◽  
Risk Reduction ◽  
Reliability Assessment ◽  
Maintenance Planning ◽  
Integrated Methodology ◽  
Regulatory Bodies ◽  
Inspection And Maintenance ◽  
Maintenance Decision

Recently, regulatory bodies quite often encourage to adopt risk-based inspection (RBI) and management programs because they can enhance safety simultaneously with deregulation in Korea. RBI is an integrated methodology that factors risk into inspection and maintenance decision making. This paper describes an example of how to use known risk assessment codes (API 580, API 581 BRD) to address such safety analysis requirements for risk management in the refining industry. Specifically, this paper reports the methodology and the results of application to the refinery units using the KGS-RBI™ program, developed by the Korea Gas Safety Corporation in reference of API Codes and ASME PC (Post Construction) with a suitable consideration of Korean situation. The results of the risk and reliability assessment using KGS-RBI™ program are useful in determining whether the detected defects are tolerable or required to be repaired. The subsequent decisions are to manage the future inspection, repair and maintenance planning in the risk reduction control.

scholarly journals INTEGRATED METHODOLOGY FOR SUPPLIER SELECTION: THE CASE OF A SPHYGMOMANOMETER MANUFACTURER IN TAIWAN

2016 ◽  
Vol 17 (1) ◽  
pp. 17-34 ◽  
Author(s):  
Z. H. CHE
Keyword(s):  
Decision Making ◽  
Particle Swarm Optimization ◽  
Data Envelopment Analysis ◽  
Supplier Selection ◽  
Particle Swarm ◽  
Multiple Objective ◽  
Data Envelopment ◽  
Process Data ◽  
Swarm Optimization ◽  
Integrated Methodology

Supplier selection is a critical multi-criterion decision-making activity for suc- cessful supply chain management. This study involved developing an integrated supplier selection methodology, which is constructed using analytic network process, data envelop- ment analysis, and multiple objective particle swarm optimization. The proposed integrated methodology can account for multiple supplier selection criteria and set boundaries on weight value for multiple objective data envelopment analysis inputs and outputs. To solve the data envelopment analysis model, a new algorithm based on multiple objective particle swarm optimization is introduced, which embeds with tabu list and group mechanisms, and then, it is found to be superior to the compared algorithms in solving performance on three test functions and the illustrative case. In addition, the proposed integrated method- ology was applied to a supplier selection problem of sphygmomanometer manufacturer in Taiwan to verify its applicability of decision-making process. The results show that the methodology can be implemented as an effective decision aid for supplier selection under multiple criteria with weight restrictions.

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