Mathematical Modeling of Manufacturing Process Plan, Optimization Analysis with Stochastic and DSM Modeling Techniques

Author:

Asgher Umer1ORCID,Ahmad Riaz1,Butt Shahid Ikramullah1

Affiliation:

1. National University of Sciences and Technology Islamabad

Abstract

The first job of the manufacturing workforce as they get novel drawings is to carry out the process planning. This task, once finished, usually direct both the organization and manufacturing setups. Process planning in manufacturing setup offers a specific and clear chronological path regarding how the product should be running and fabricated in a manufacturing system. In highly developed manufacturing setups, this would persuade, how the setup will be planned and laid out in grounding for the novel product. In this research work, fundamental process plan is developed for a side plate manufacturing together with all design and user requirements. Mathematically modeling is done using progressive closed loop approach. Research then searches the capabilities of optimization techniques like DSM (dependency structure matrix) and a novel stochastic search to provide the best approximate process planning solution. Finally the global optimization is analysed in both the techniques and one technique reaches at optimum solution.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference8 articles.

1. K. Hitomi Viva, Manufacturing Systems Engineering, 2nd ed, India: Viva Books Pvt Ltd.

2. Meyers, F. E, Manufacturing Facilities Design and Material Handling, 3rd ed, 2005, Upper Saddle: Prentice Hall.

3. Browning, Tyson R, Process Modeling with Design Structure Matrices (DSMs), INCOSE INSIGHT, 1999, vol 2: pp.15-17.

4. J.C. Spall, Introduction to Stochastic Search and Optimization, 2003, John Wiley&Sons, Inc.

5. M. Asghar Bhatti, Practical Optimization Methods with Mathematics Applications, N. Y : Springer-Verlag, (2000).

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