Showing papers on "Methods engineering published in 2014"

DEA common set of weights based on a multi objective Fractional Programming

Abstract: Data envelopment analysis operates as a tool to appraise the relative efficiency of a set of homogenous decision making units. DEA allows each DMU to take its optimal weight in comparison to other DMUs while a similar condition is considered for other units. This feature threats the comparability of different units because different weighting schemes are used for different DMUs. In this paper, a model is presented to determine a common set of weights to calculate DMUs efficiency. This model is developed based on a multi objective fractional linear programming model that considers the original DEA's results as ideal solution and seeks a set of common weights to evaluate DMUs and increases the model's discrimination power. A numerical example is solved and the proposed method's results are compared to some previous methods. This Comparison has shown the proposed method's advantages in ranking DMUs.

Attribute control charts for effective statistical process control

Abstract: The control chart is fast becoming a necessity rather than a fashion in different manufacturing processes and service sectors. No tool can capture the voice of a process better than the control chart. It is an effective tool to monitor a process, reduce variation, improve productivity and ensure quality. The applications of the control chart have now moved into engineering, service management, biology, health care and finance. The control chart is considered as one of the most powerful monitoring techniques in Statistical Process Control (SPC). It is basically used to achieve the statistical control of a process and its output. SPC provides the decision maker with the ability to monitor the quality characteristics of the product, evaluate the process performance and take a quick corrective action when out-of-control statuses and abnormal conditions are going to occur in order to avoid damages and serious economic losses. Attribute control charts play a vital role in monitoring the quality characteristics which cannot be conveniently measured in a continuous numerical scale. Nowadays, attribute charts enjoy a wide range of applications in many fields such as manufacturing processes, healthcare systems and service industries. The main objective of this thesis is to develop new attribute control charts with high detection effectiveness. This thesis proposes five new attribute charts, namely, a synthetic & np (Syn-np) chart, an optimal np & Cumulative Sum (np-CUSUM) chart, a CUSUM chart with curtailment (Curt_CUSUM), an optimal Sequential Probability Ratio Test (SPRT) chart for monitoring p, and finally a novel attribute chart (AFV chart) for monitoring the mean and variance of a variable. A second goal is to provide an overall effectiveness evaluation and systematic comparison among the newly developed charts and different attribute charts in the literature under the same false alarm rate for a fair comparison. The results of this evaluation give a clear conclusion on the overall detection effectiveness of the charts and provide a practical guide to both academia and industry. To achieve this goal, several types of commonly used control charts for attributes including np chart, synthetic chart, Cumulative Sum (CUSUM) chart, Confirmation Report SALAH HARIDY MAE

Review and Perspectives on the Research and Industrial Applications of Manufacturing Systems Engineering in Korea for 40 Years

Abstract: Review and Perspectives on the Research and Industrial Applications of Manufacturing Systems Engineering in Korea for 40 Years Byoung Kyu Choi.Kwan Hee Han.Cha Soo Jun.Chul Soo Lee.Sang Chul Park Department of Industrial and Systems Engineering, KAIST Department of Industrial and Systems Engineering, Gyeongsang National University Department of Mechanical Engineering, Sogang University Department of Industrial Engineering, Ajou University

An investigation into the extended Kanban control system

Abstract: .................................................................................................................. ii ACKNOWLEDGMENTS ............................................................................................ iv TABLE OF CONTENTS ............................................................................................... v LIST OF FIGURES ....................................................................................................... x LIST OF TABLES ..................................................................................................... xiii NOMENCLATURE ................................................................................................... xvi For Extended Kanban Control System (EKCS) ......................................................... xvii CHAPTER

A mathematical model for hazmat and freight transportation in railway networks

Abstract: Zohreh Zahedian-Tejenaki is an M.Sc. of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran. z.zahedian@ut.ac.ir Mohammad Mahdi Nasiri is an Assistant Professor in the School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran. mmnasiri@ut.ac.ir Reza Tavakkoli-Moghaddam, Professor, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, IRAN,. tavakoli@ut.ac.ir