Ahad Ali

A. Pandian and A. Ali, Automotive Robotic Body Shop Simulation for Performance Improvement using Plant Feedback, International Journal of Industrial and Systems Engineering, Vol. 7, No. 3, pp. 269-291, 2011.

This research was conducted to study benefits of a concept, known as lean manufacturing, which elicits organizations to do more with less effort, time, space, and equipment by eliminating waste. Because lean implementation involves finances, dedication, and cultural change in business, there is a need to assess a company’s lean initiative.

Survey-based spreadsheet model on lean implementation
Author(s): Devdas Shetty, (University of Hartford, West Hartford, Connecticut, USA), Ahad… Show more

This research was conducted to study benefits of a concept, known as lean manufacturing, which elicits organizations to do more with less effort, time, space, and equipment by eliminating waste. Because lean implementation involves finances, dedication, and cultural change in business, there is a need to assess a company’s lean initiative.

Survey-based spreadsheet model on lean implementation
Author(s): Devdas Shetty, (University of Hartford, West Hartford, Connecticut, USA), Ahad Ali, (Lawrence Technological University, Southfield, Michigan, USA), Robert Cummings, (University of Hartford, West Hartford, Connecticut, USA) Show less

A. Ali, H. Seifoddini, and J. Lee, Efficient Material Allocation in High-Mix Low-Volume Manufacturing, Journal of Advanced Manufacturing Systems, Vol. 9, No. 2, pp. 101-116, 2010.

W. Moir, and Ahad Ali, Conveyor Stop for Quality Simulation Analysis, Journal of Modelling and Simulation of Systems, Vol. 1, No. 4, pp. 197-203, 2010.

V. Cook, and A. Ali, Using net present value methods to evaluate quality improvement projects, International Journal of Quality and Reliability Management, Vol. 27 No. 3, pp. 333-350, 2010.

Abstract: This research presents a comprehensive investigation of the implementation of Total Productive Manufacturing (TPM) in major US industries and assesses the status of its implementation. The identification and categorization of the key characteristics of a TPM implementation are developed. An extensive survey was developed and conducted that allows companies to identify how they fit within the TPM philosophy and the way they highlight areas for improvement. Based on the survey, a new… Show more

Abstract: This research presents a comprehensive investigation of the implementation of Total Productive Manufacturing (TPM) in major US industries and assesses the status of its implementation. The identification and categorization of the key characteristics of a TPM implementation are developed. An extensive survey was developed and conducted that allows companies to identify how they fit within the TPM philosophy and the way they highlight areas for improvement. Based on the survey, a new methodology to implement TPM was developed. This procedure builds upon traditional TPM procedures and equipment selection tools and further adds non-traditional tools. Value Stream Mapping was added to improve understanding of material flow in the manufacturing process. Failure Mode and Effects Criticality Analysis (FMECA) procedures introduced equipment reliability and probability of failure into the selection process. The comprehensive TPM methodology was demonstrated as a visual tool entitled, TPM Decision Matrix. The tool allows selection tradeoffs of various resources that are available in the industry. The methodology was tested in industry through a TPM implementation. The results showed that the equipment effectiveness in the company has improved by the new TPM results. The results also include several other major recommendations that have significant potential for enhancing factory effectiveness.

Author(s): DEVDAS SHETTY
College of Engineering, Lawrence Technological University, 21000 W Ten Mile Road, Southfield, Michigan 48075, USA
AHAD ALI
Department of Mechanical Engineering, Lawrence Technological University, 21000 W Ten Mile Road, Southfield, Michigan 48075, USA
JOHN J. CHAPDELAINE
College of Engineering, Technology and Architecture, University of Hartford, West Hartford, CT 06117, USA Show less

This study provides simulation analysis for throughput improvement of spiral bevel gear process with the existing manufacturing constraints using design of experiments. A linear regression model was developed for the throughput with one significant variable (hobber cycle time). For every minute the hobber cycle can be decreased, the output will increase by five units per 12-hour shift. If the cycle time of the hobber was reduced to less than one minute, the maximum output per 12-hour shift… Show more

This study provides simulation analysis for throughput improvement of spiral bevel gear process with the existing manufacturing constraints using design of experiments. A linear regression model was developed for the throughput with one significant variable (hobber cycle time). For every minute the hobber cycle can be decreased, the output will increase by five units per 12-hour shift. If the cycle time of the hobber was reduced to less than one minute, the maximum output per 12-hour shift would be 85 pieces. This study provides an improved understanding of these independent operations and how to increase the system throughput.

Authors: James Polubinski, and Ahad Ali
A. Leon Linton Department of Mechanical Engineering, Lawrence Technological University, 21000 W Ten Mile Road, Southfield, MI 48075, USA. Show less