Sharif Digital Repository

Manufacturing environments has changed in recent decades. Today’s it has specification such as shorten life cycle of products, decrease new product design and manufacturing cycle, increase flexibility, decrease response time for market demands and increase competitive level among manufacturers. For achieve this specification integration of CAD, CAPP and CAM is essential. Process planning is important in manufacturing systems so that down stream activity costs and optimality depends on process plans. To develop a process plan for a prismatic part it is required to interpret part design data; select manufacturing processes; select machines, tools and fixtures; decompose the material volume to... 

There are many exact and comprehensive project management standards that have been presented till now. On the basis of those standards numerous corporations and organizations have collected various methodologies in order to ensure the accuracy of their project management processes. Apart from utilization of a predefined methodology or collecting of a customized one in the organization, there is an important question: in each project what is the suitable project management system (PMS). In this thesis a tool with the help of simulation technique is developed to support the improvement of the organization’s PMS. The processes of a methodology which is on the basis of PMBOK standard are... 

This paper presents some approaches based on data mining techniques to solve the prediction task of Computational Intelligence and Learning (CoIL) Challenge 2000. The prediction task of the contest is a direct mailing problem and the goal is to improve its response rate. The main issue in this competition is the incompatibility of the dataset in which the distribution of the classes of the target attribute is highly unbalanced. This in turn causes high error rate in identifying the minority class samples. Three different level methods including data-level, algorithm-level, and hybrid method are used to overcome this issue. The specificity and sensitivity criteria are employed to compare the... 

The purpose of this research is analyzing designed experiments which their response variable is in form of multichannel profiles. For this purpose, a number of experiments with multichannel profile response variable designed at first. Then by random effect model, output data calculated. Experiments output data dimension reduced using principal component analysis and its extensions. After that, regression analysis used to analyze results of dimensionality reduction data in order to estimate coefficients of potentially effective variables in response. At the end, coefficients of effective variables classified with a hierarchical classification method in order to discover change and its root... 

Nowadays, due to the advancement in manufacturing technology and increasing use of information technology in the services and industries, most of production proccess consist of complex and high-dimensional data. These processes include multivariate processes, complex profiles and multistage processes. In some quality control applications, processes consist of multiple components, stations or stages to finish the final product or service which are called multistage processes. In addition, some quality characteristics in each stage can be represented by a relationship between a response variable and one or more explanatory variables which is named as profile. In this research, a general model... 

In this thesis we propose a new metamodel based simulation optimization algorithm using sequential design of experiments. The main objective is to have a new method which can be used without deep knowledge of different kinds of metamodels, optimization techniques and design of experiments. The method uses three metamodels simulataneously and gradually adapts to the best metamodel. In each iteration, some points are chosen as candidates for future simulation. These points are ranked based on the quality of metamodel prediction and their placement among simulated points, the best point will be chosen for simulation. Comparing the proposed algorithm with some of the popular simulation...