Showing papers on "Methods engineering published in 2005"

Updating The Objectives Of A Manufacturing Engineering Technology Program

Abstract: A key aspect of outcomes based assessment processes like those used in the TAC of ABET accreditation process is setting the objectives and outcomes for the activity under review. Assessments of the Manufacturing Engineering Technology Program at Rochester Institute of Technology (RIT) indicated that the needs of industry employers had shifted based on changes in product design, product development and manufacturing strategies. Globalized production, joint technology development ventures, interdisciplinary team based product/process design and other issues have changed the traditional roles and needs of the Manufacturing Engineer. This paper highlights a process of establishing and evaluating the program outcomes and program educational objectives for Manufacturing Engineering Technology at RIT by focusing on the changing role of the practicing manufacturing engineer. Findings include identification of new constituents, impacts on the traditional industrial advisory board, and updates to outcomes, objectives and curriculum.

The Study of Teaching Methods for Industrial Engineering

Abstract: This paper figures out the features and objectives of Industrial Engineering, and presents a new teaching method for Industrial Engineering.

Design and Implementation of Industrial Engineering Laboratory System

Abstract: Based on educational objectives of industrial engineering,this paper analyzes the laboratory system of industrial engineering,expounds the necessary equipment,software,laboratory class hours and laboratory item in it.And it also puts forward some relevant measures on how to realize the system.

Decision-making framework for justification of reverse logistics in the computer industry

Abstract: This research examines the viability of reverse logistics by developing a decision making model for manufacturers in deciding under what condition they should consider reverse logistics as a business where it can be performed to either minimize costs or maximize profit. It focuses on companies supplying computer products with actors consisting of the manufacturer, its suppliers, channels and repair depots to form the reverse logistics network. As this is a new field in supply chain management especially in Singapore, an empirical study in Singapore is conducted to understand and evaluate the status of companies practicing reverse logistics to support their Asia Pacific operations. The survey findings confirmed that companies are implementing reverse logistics to minimize their costs or for warranty compliance. The next step is to determine key variables and inputs that are significant in developing a mathematical model is developed to assess profitability of reverse logistics operations. Two sub-models are developed: the first sub-model is for make parts where these parts are evaluated either for repair, repackage or scrap and the second sub-model is for buy parts where these parts are evaluated either for exchange or credit with supplier or simply scrap. In extension to the mathematical model, a dynamic model is built to determine profitability of reverse logistics that takes into account other variables that are not possible in the prior model and validated using data from a computer company (Hewlett Parkard). Initial statistical analysis is performed on data collected from HP for their return volumes transacted over a period of two years. The results from this analysis have indicated that make parts are more profitable than buy parts in reverse Pg ii ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library

Industrial Engineering and Operations Research

Abstract: IEOR students and faculty members are actively engaged in a variety of research projects that have made and continue to make important contributions to both the theory and practice of operations research and industrial engineering. Some of the research areas represented in the IEOR department are the analysis of algorithms, automation and robotics, combinatorics and integer programming, convex optimization, financial engineering, inventory theory, risk analysis, robust optimization, queueing theory, supply chain management, scheduling, and simulation.