scholarly journals Change impact analysis of complex product using an improved three-parameter interval grey relation model

2021 ◽  
Vol 16 (2) ◽  
pp. 185-198
Author(s):  
W.M. Yang ◽  
C.D. Li ◽  
Y.H. Chen ◽  
Y.Y. Yu
Keyword(s):  
Permanent Magnet ◽  
Impact Evaluation ◽  
Impact Analysis ◽  
Engineering Change ◽  
Complex Product ◽  
Product Engineering ◽  
Parameter Interval ◽  
Change Impact ◽  
Grey Number ◽  
The Impact

Change impact evaluation of complex product plays an important role in controlling change cost and improving change efficiency of engineering change enterprises. In order to improve the accuracy of engineering change impact evaluation, this paper introduces three-parameter interval grey number to evaluate complex products according to the data characteristics. The linear combination of BWM and Gini coefficient method is used to improve the three-parameter interval grey number correlation model. It is applied to the impact evaluation of complex product engineering change. This paper firstly constructs a multi-stage complex network for complex product engineering change. Then the engineering change impact evaluation index system is determined. Finally, a case analysis was carried out with the permanent magnet synchronous centrifugal compressor in a large permanent magnet synchronous centrifugal unit to verify the effectiveness of the proposed method.

scholarly journals Change impact analysis of complex product based on three-parameter interval grey number grey relational model

2021 ◽  
Author(s):  
Weiming Yang ◽  
Congdong Li ◽  
Yinyun Yu ◽  
Bingjun Li
Keyword(s):  
Permanent Magnet ◽  
Impact Evaluation ◽  
Impact Analysis ◽  
Evaluation Index System ◽  
Relational Model ◽  
Engineering Change ◽  
Complex Product ◽  
Change Impact ◽  
Engineering Changes ◽  
Grey Relational

Abstract Change impact evaluation of complex product plays an important role in controlling change cost and improving change efficiency of engineering change enterprises. In order to improve the accuracy of change impact evaluation,this paper firstly expresses engineering changes based on multi-stage complex networks. Then, it constructs the evaluation index system of complex product engineering change impact. Next, based on the combination weighted three-parameter grey relational model, the engineering change impact of complex product is evaluated. Finally, a case analysis was carried out with the permanent magnet synchronous centrifugal compressor in a large permanent magnet synchronous centrifugal unit to verify the effectiveness of the proposed method.

A Knowledge-Supported System for Engineering Change Impact Analysis

2003 ◽  
Author(s):  
Sha Ma ◽  
Bin Song ◽  
Wen Feng Lu ◽  
Cheng Feng Zhu
Keyword(s):  
Change Management ◽  
Impact Analysis ◽  
Raw Materials ◽  
New Technology ◽  
Integrated Design ◽  
Engineering Change ◽  
Change Impact Analysis ◽  
Change Impact ◽  
Engineering Changes ◽  
The Impact

Engineering changes are inevitable in a product development life cycle. The requests for engineering changes can be due to new customer requirements, emergence of new technology, market feedback, or variations of components and raw materials. Each change generates a level of impact on costs, time to market, tasks and schedules of related processes, and product components. Change management tools available today focus on the management of document and process changes. Assessments of change impact are typically based on the “rule of thumb”. Our research has developed a methodology and related techniques to quantify and analyze the impact of engineering changes to enable faster and more accurate decision-making in engineering change management. Reported in this paper are investigations of industrial requirements and fundamental issues of change impact analysis as well as related research and techniques. A framework for a knowledge-supported change impact analysis system is proposed. Three critical issues of system implementation, namely integrated design information model, change plan generator and impact estimation algorithms, are addressed. Finally the benefits and future work are discussed.

scholarly journals System Dynamics Approach for Assessing the Behaviour of the Lim Reservoir System (Serbia) under Changing Climate Conditions

Water ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1620 ◽  
Author(s):  
Milan Stojkovic ◽  
Slobodan P. Simonovic
Keyword(s):  
Climate Change ◽  
System Dynamics ◽  
Climate Change Impact ◽  
Impact Analysis ◽  
Winter Season ◽  
Water System ◽  
Dynamics Simulation ◽  
Hydropower Generation ◽  
Change Impact ◽  
The Impact

Investigating the impact of climate change on the management of a complex multipurpose water system is a critical issue. The presented study focuses on different steps of the climate change impact analysis process: (i) Use of three regional climate models (RCMs), (ii) use of four bias correction methods (BCMs), (iii) use of three concentration scenarios (CSs), (iv) use of two model averaging procedures, (v) use of the hydrological model and (vi) use of the system dynamics simulation model (SDSM). The analyses are performed for a future period, from 2006 to 2055 and the reference period, from 1971 to 2000. As a case study area, the Lim water system in Serbia (southeast Europe) is used. The Lim river system consists of four hydraulically connected reservoirs (Uvac, Kokin Brod, Radojnja, Potpec) with a primary purpose of hydropower generation. The results of the climate change impact analyses indicate change in the future hydropower generation at the annual level from −3.5% to +17.9%. The change has a seasonal variation with an increase for the winter season up to +20.3% and decrease for the summer season up to −33.6%. Furthermore, the study analyzes the uncertainty in the SDSM outputs introduced by different steps of the modelling process. The most dominant source of uncertainty in power production is the choice of BCMs (54%), followed by the selection of RCMs (41%). The least significant source of uncertainty is the choice of CSs (6%). The uncertainty in the inflows and outflows is equally dominated by the choice of BCM (49%) and RCM (45%).

An Approach to Determine Important Attributes for Engineering Change Evaluation

2013 ◽  
Vol 135 (4) ◽  
Author(s):  
Chandresh Mehta ◽  
Lalit Patil ◽  
Debasish Dutta
Keyword(s):  
Optimization Problem ◽  
State Of The Art ◽  
Evaluation Criteria ◽  
Engineering Change ◽  
Knowledge Based ◽  
Detailed Evaluation ◽  
Change Impact ◽  
Search Approach ◽  
The Impact ◽  
Better Than

Enterprises plan detailed evaluation of only those engineering change (EC) effects that might have a significant impact. Using past EC knowledge can prove effective in determining whether a proposed EC effect has significant impact. In order to utilize past EC knowledge, it is essential to identify important attributes that should be compared to compute similarity between ECs. This paper presents a knowledge-based approach for determining important EC attributes that should be compared to retrieve similar past ECs so that the impact of proposed EC effect can be evaluated. The problem of determining important EC attributes is formulated as the multi-objective optimization problem. Measures are defined to quantify importance of an attribute set. The knowledge in change database and the domain rules among attribute values are combined for computing the measures. An ant colony optimization (ACO)-based search approach is used for efficiently locating the set of important attributes. An example EC knowledge-base is created and used for evaluating the measures and the overall approach. The evaluation results show that our measures perform better than state-of-the-art evaluation criteria. Our overall approach is evaluated based on manual observations. The results show that our approach correctly evaluates the value of proposed change impact with a success rate of 83.33%.

Network-Based Analysis of Requirement Change in Customized Complex Product Development

2017 ◽  
Vol 16 (04) ◽  
pp. 1125-1149 ◽  
Author(s):  
Yu Guodong ◽  
Yang Yu ◽  
Zhang Xuefeng ◽  
Li Chi
Keyword(s):  
Impact Analysis ◽  
Decision Makers ◽  
Change Propagation ◽  
Change Impact Analysis ◽  
Complex Product ◽  
Network Change ◽  
Effect Theory ◽  
Change Impact ◽  
Requirement Change ◽  
Indirect Impacts

Requirement change impact analysis has been acknowledged as one of the crucial steps in product design. In this paper, we propose a network-based method to analyze change impact. By defining interconnections among parts, we build a directed weighted complex product network model to represent the product structure under given requirements. Then, we discuss two requirement change cases and develop corresponding modification policies. To specify indirect impacts, we propose a change propagation searching model in light of Matthew Effect theory. To measure the degree of change impacts, we propose two criteria (network variation scale and extra network change cost), both of which can provide a systemic assessment of impacts. Finally, a case of clutch is presented to illustrate the proposed approach. The results can provide way of measuring overall change impacts on the product, which can support decision-makers to respond that the change request can be fulfilled or not.

A Static Change Impact Analysis Approach based on Metrics and Visualizations to Support the Evolution of Workflow Repositories

2016 ◽  
Vol 13 (2) ◽  
pp. 74-101
Author(s):  
Gustavo Ansaldi Oliva ◽  
Marco Aurélio Gerosa ◽  
Fabio Kon ◽  
Virginia Smith ◽  
Dejan Milojicic
Keyword(s):  
Impact Analysis ◽  
New Technology ◽  
Workflow Management ◽  
The Body ◽  
Analysis Approach ◽  
Tool Support ◽  
Change Impact Analysis ◽  
Support Organizations ◽  
Change Impact ◽  
The Impact

In ever-changing business environments, organizations continuously refine their processes to benefit from and meet the constraints of new technology, new business rules, and new market requirements. Workflow management systems (WFMSs) support organizations in evolving their processes by providing them with technological mechanisms to design, enact, and monitor workflows. However, workflows repositories often grow and start to encompass a variety of interdependent workflows. Without appropriate tool support, keeping track of such interdependencies and staying aware of the impact of a change in a workflow schema becomes hard. Workflow designers are often blindsided by changes that end up inducing side- and ripple-effects. This poses threats to the reliability of the workflows and ultimately hampers the evolvability of the workflow repository as a whole. In this paper, the authors introduce a change impact analysis approach based on metrics and visualizations to support the evolution of workflow repositories. They implemented the approach and later integrated it as a module in the HP Operations Orchestration (HP OO) WFMS. The authors conducted an exploratory study in which they thoroughly analyzed the workflow repositories of 8 HP OO customers. They characterized the customer repositories from a change impact perspective and compared them against each other. The authors were able to spot the workflows with high change impact among thousands of workflows in each repository. They also found that while the out-of-the-box repository included in HP OO had 10 workflows with high change impact, customer repositories included 11 (+10%) to 35 (+250%) workflows with this same characteristic. This result indicates the extent to which customers should put additional effort in evolving their repositories. The authors' approach contributes to the body of knowledge on static workflow evolution and complements existing dynamic workflow evolution approaches. Their techniques also aim to help organizations build more flexible and reliable workflow repositories.

Ripple Effect in Web Applications

2012 ◽  
pp. 97-111
Author(s):  
Nashat Mansour ◽  
Nabil Baba
Keyword(s):  
Web Application ◽  
Impact Analysis ◽  
Web Applications ◽  
Ripple Effect ◽  
Change Impact Analysis ◽  
Local Modification ◽  
Change Impact ◽  
The Stability ◽  
The Impact ◽  
The Web

The number of internet web applications is rapidly increasing in a variety of fields and not much work has been done for ensuring their quality, especially after modification. Modifying any part of a web application may affect other parts. If the stability of a web application is poor, then the impact of modification will be costly in terms of maintenance and testing. Ripple effect is a measure of the structural stability of source code upon changing a part of the code, which provides an assessment of how much a local modification in the web application may affect other parts. Limited work has been published on computing the ripple effect for web application. In this paper, the authors propose, a technique for computing ripple effect in web applications. This technique is based on direct-change impact analysis and dependence analysis for web applications developed in the .Net environment. Also, a complexity metric is proposed to be included in computing the ripple effect in web applications.

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