Here is the abstract you requested from the MMC_2011 technical program page. This is the original abstract submitted by the author. Any changes to the technical content of the final manuscript published by IMAPS or the presentation that is given during the event is done by the author, not IMAPS.
|Will present in Session 3 of the Program (3rd presentation): A Scheduling Tool for Processing Large-Area Flexible Electronics|
|Keywords: flexible electronic, scheduling system, processing|
|Will present in Session 3 of the Program (3rd presentation): This work concerns the scheduling of state-of-the-art assembly equipment for the manufacturing of microelectronic circuitry on large-area flexible substrates. There are three major processing steps of concern in this work: vacuum deposition, photolithography, and photoresist development. Vacuum deposition is used to deposit thin layers of material (e.g., metals or other thin films) onto the flexible substrate which is also known as the “web.” Photolithography is used to pattern the microelectronics circuitry onto the web. Finally, the photoresist is developed to yield the flexible electronics devices. As the web is processed in a fixed order, these steps constitute a flow shop process. In the facility of concern, there are a variety of customers with different needs and thus have different processing time requirements, different due-dates, etc. The n-job, three machine flow shop problem, while relatively trivial for some performance measures and processing time characteristics (e.g., permutation schedules are sufficient for the makespan but the problem is still NP-hard), can be NP-complete for others (e.g., tardiness-based criteria). We develop a scheduling tool to be used in conjunction with the Lekin ® scheduling software developed by the Stern Business School at NYU. The operators of the flexible electronics facility enter the data for the scheduling problem, namely, the number of jobs, processing times, due-dates, and weights, if applicable. They will also input the performance measure of interest. Lekin-based files will then be created from the data and used as inputs into the Lekin software. Intelligence, in the form of heuristics, is embedded into the system based upon problem characteristics. For example, if the performance measure is makespan and it is determined that the maximum time on the photoresist tool is no greater than the minimum time on the other tools, then a special application of Johnson's Algorithm will identify the optimal permutation schedule to process the jobs. The primary output of the system is the recommended schedule of the jobs, replete with Gantt chart. This abstract is being submitted for consideration in the Poster Session at the IMAPS Mid-Atlantic Regional Meeting in June 2011. It is based upon a paper that is being published in the proceedings of the 2011 Industrial Engineering Research Conference (IERC) and it will also be presented, as a poster, at the IMAPS New England Meeting in May 2011.|
|Matthew Sommerhalter , Student
Binghamton , New York