RISK ASSESSMENT AND ACTION SELECTION IN PRELIMINARY DESIGN

2011 ◽  
Vol 08 (01) ◽  
pp. 77-94
Author(s):  
CHUNG YEH ◽  
WEN-CHIN LIU ◽  
CHIH-LIEH LEE
Keyword(s):  
New Product Development ◽  
Design Decision ◽  
Preliminary Design ◽  
Analysis Model ◽  
Process Change ◽  
Effect Analysis ◽  
Core Item ◽  
Integrated Risk ◽  
Schedule Risk ◽  
Integrated Risk Analysis

New product development (NPD) has typically had strategic implications for the success and prosperity of an organization. This paper applied refined failure mode and effect analysis and genetic algorithm techniques to develop and establish an integrated risk analysis model for improving preliminary design of NPD. Three core items, technological performance, cost, and schedule risk, were used to improve the process of preliminary design and resource allocation in NPD projects. Risk severity, occurrence, and correlation characteristics are collected for each core item. A real study case was implemented to conclude an improving design decision and process change for NPD project.

scholarly journals INTELLIGENCE CYCLE AS PART OF EFFECTIVE RISK ANALYSIS UNDER INTEGRATED BORDER MANAGEMENT

2020 ◽  
Vol 3 (8) ◽  
pp. 27-34
Author(s):  
Jekaterina Livdāne ◽  
Iluta Arbidāne
Keyword(s):  
Risk Analysis ◽  
Positive Impact ◽  
Coast Guard ◽  
Practical Implementation ◽  
Main Task ◽  
Analysis Model ◽  
Internal Security ◽  
Huge Data ◽  
Integrated Risk ◽  
Integrated Risk Analysis

The aim is to present common approach of processing of information as one of the main aspects for qualitative risk analysis, including all three components – threat, vulnerability and impact, in all levels: strategic, operational and tactical. The theoretical methodology is based on guidelines of common integrated risk analysis model (CIRAM), implemented in Schengen member states (MS) as a part of integrated border management (IBM). Based on the main task – to view particular legal bases and using historical research, analytical and descriptive methods, the legal bases of IBM in the field of risk analysis was explained, at first. Special attention was paid for description of each step of intelligent cycle, because only scrupulous following of methodology guaranteed the high quality of the product in situations when analytical units have huge amount of data from different sources every day. Different kinds of risk analysis (annual, quarterly, monthly, weekly or targeted for specific measures) are performed by European Border and Coast Guard (EBCG) and MS using the CIRAM methodology. Huge data flows should be managed in a structured way. The knowledge and practical implementation of CIRAM has a positive impact on overall internal security in the area of free movement. For this purpose, the amount of trained border guards was analysed. 

Integrated Risk Analysis for Scale Management in Deepwater Developments

2004 ◽  
Author(s):  
E.J. Mackay ◽  
M.M. Jordan ◽  
N.D. Feasey ◽  
D. Shah ◽  
P. Kumar ◽  
...  
Keyword(s):  
Risk Analysis ◽  
Integrated Risk ◽  
Integrated Risk Analysis ◽  
Scale Management

A novel failure mode and effect analysis model for machine tool risk analysis

2019 ◽  
Vol 183 ◽  
pp. 173-183 ◽  
Author(s):  
Huai-Wei Lo ◽  
James J.H. Liou ◽  
Chun-Nen Huang ◽  
Yen-Ching Chuang
Keyword(s):  
Risk Analysis ◽  
Machine Tool ◽  
Failure Mode ◽  
Analysis Model ◽  
Effect Analysis

Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries

2014 ◽  
pp. 511-537 ◽  
Author(s):  
Goran Klepac
Keyword(s):  
Expert System ◽  
Product Development ◽  
New Product Development ◽  
Customer Value ◽  
Model Development ◽  
Business Case ◽  
Customer Segmentation ◽  
Fuzzy Expert System ◽  
Analysis Model ◽  
Model Based

This chapter represents the business case in the telecommunication company called Veza, in domain of churn prediction and churn mitigation. The churn project was divided into few stages. Due to limited budget and cost optimization, stage one was concentrated on prospective customer value calculation model based on fuzzy expert system. This helps Veza company to find most valuable telecom subscribers. It also helped company to better understand subscriber portfolio structure. Developed fuzzy expert system also helped Veza company in detection of soft churn. Stage two is profiling and customer segmentation based on time series analysis which provided potential predictors for predictive churn model. The central stage was concentrated on developing traditional predictive churn model based on logistic regression. This calculated probability that subscribers will make churn in next few months. The final stage was dedicated to SNA (Social Network Analysis) model development which found out the most valuable customers from the perspective of existing subscriber network. This model gave the answer that subscribers have the greatest influence on other subscribers in a way what is dangerous if they leave Veza company because they will motivate other subscribers to do the same thing. All three stages made complete churn detection/mitigation solution which take into consideration past behaviour of subscribers, their prospective value, and their strength of influence on other subscribers. This project helped Veza company to decrease churn rate and it gave directions for better understanding customer needs and behaviour which were the base for new product development.

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