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Full-Text Articles in Engineering
Integration Of Data Mining Algorithms And Control Charts For Multivariate And Autocorrelated Processes, Weerawat Jitpitaklert
Integration Of Data Mining Algorithms And Control Charts For Multivariate And Autocorrelated Processes, Weerawat Jitpitaklert
Industrial, Manufacturing, and Systems Engineering Dissertations
The objective of this dissertation is to integrate state-of-the-art data mining algorithms with statistical process control (SPC) tools to achieve efficient monitoring in multivariate and autocorrelated process. Process monitoring and diagnosis have been widely recognized as important and critical tools in system monitoring for detection of abnormal behavior and quality improvement. Although traditional SPC tools are effective in simple manufacturing processes that generate a small volume of independent data, these tools are not capable of handling the large streams of multivariate and autocorrelated data found in modern manufacturing/service systems. As the limitations of SPC methodology become increasingly obvious in the …
Software Capacity Planning: A Methodology For A Portfolio Of High Technology Product Development Projects, Rajiv Malhotra
Software Capacity Planning: A Methodology For A Portfolio Of High Technology Product Development Projects, Rajiv Malhotra
Industrial, Manufacturing, and Systems Engineering Dissertations
High technology product development projects make extensive use of engineering software during the product development process. The suite of engineering software tools deployed during product development represents a significant portion of the product development costs. The ability to forecast the engineering software license capacity required to support product development plans is crucial for budgeting, return on investment (ROI) calculations, contract negotiations with the software suppliers, and the provision of an IT infrastructure necessary to support the execution of the software tools. This research shows that the usage of engineering application software in high technology is cyclical due to the characteristics …
Novel Nonparametric Control Charts For Monitoring Multivariate Processes, Panitarn Chongfuangprinya
Novel Nonparametric Control Charts For Monitoring Multivariate Processes, Panitarn Chongfuangprinya
Industrial, Manufacturing, and Systems Engineering Dissertations
The objective of this dissertation is to develop novel nonparametric control charts to effectively monitor and diagnose multivariate processes with a minimal set of modeling assumptions. Statistical process control (SPC) is a set of procedures that uses statistical techniques to measure, analyze, and reduce process variation. A control chart, which is a special type of graph showing the results of periodic inspections over time, is the primary and most successful SPC tool in real-world applications. This dissertation proposes two nonparametric multivariate control charts based on (1) a support vector machines (SVM) algorithm and (2) a linkage ranking algorithm. The first …
Designing Multi-Objective Reverse Logistics Networks Using Genetic Algorithms, Sanya Yimsiri
Designing Multi-Objective Reverse Logistics Networks Using Genetic Algorithms, Sanya Yimsiri
Industrial, Manufacturing, and Systems Engineering Dissertations
Reverse logistics (RL) involves management of activities that include collection, sort/storage, transportation, recovery, disposal and re-distribution. The product return process is more complicated than forward logistics due to presence of multiple reverse distribution channels, individualized returns with small quantities, extended order cycles associated with product exchanges and a variety of recovery and disposition options. Reverse logistics has been gaining interest from many sectors due to rising costs, environmental concern and tougher regulations. As a result, good reverse logistics network design can help business save costs and meet their bottom lines in this competitive global environment. Most of the previous research …
Unsupervised Data Mining Methods For Functional Data Analysis And Feature Selection, Panaya Rattakorn
Unsupervised Data Mining Methods For Functional Data Analysis And Feature Selection, Panaya Rattakorn
Industrial, Manufacturing, and Systems Engineering Dissertations
The objective of this dissertation is to develop new unsupervised data mining methods for functional data analysis and feature selection. Unsupervised learning is a modeling process that facilitates the extraction of implicit patterns and elicits the natural groupings within the dataset without using any information from the output (response) variable. This dissertation consists of two main parts: (1) unsupervised clustering approaches for functional data analysis and (2) unsupervised feature selection. Functional data analysis has gained significant attention from a variety of disciplines. In this dissertation we propose an effective clustering procedure to categorize a number of profiles that are formed …
Methodology To Forecast Product Returns For The Consumer Electronics Industry, Amit Potdar
Methodology To Forecast Product Returns For The Consumer Electronics Industry, Amit Potdar
Industrial, Manufacturing, and Systems Engineering Dissertations
Reverse logistics has gained much attention in recent years. It is becoming a value added area of a supply chain network day by day. For enterprises, it has therefore become essential to manage the reverse flow of materials in an efficient way to gain competitive advantage. One important aspect of reverse logistics is to have a correct and timely estimation of the reverse flow of materials. Improved forecast accuracy leads to a better decision making in strategic, tactical and operational areas of an organization. Intrinsic (time series) and extrinsic (causal) forecasting are some of the well known and frequently used …
Performance Evaluation In Reverse Logistics With Data Envelopment Analysis, Ake Tonanont
Performance Evaluation In Reverse Logistics With Data Envelopment Analysis, Ake Tonanont
Industrial, Manufacturing, and Systems Engineering Dissertations
Good reverse logistics design can save cost, increase revenues, and gain competitive edges over the rivals. Design of the optimized reverse supply chain model is a very important task to help enterprises save cost and gain benefits from their supply chains. In this study, reverse logistics is considered as a part of the Closed Loop Supply Chain (CLSC). CLSC combines forward and reverse flow together in the supply chain. Each component in a forward and reverse supply chain results in the efficiency of CLSC. Therefore, considering forward and reverse supply chain together as a CLSC will result in more benefits …