Operations Research, Systems Engineering and Industrial Engineering Commons^™

Possible Applications Of Neural Networks In Manufacturing, S. Lammers, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Summary form only given. An examination is made of the potential of neural networks and the impact of parallel processing in the design and operations of manufacturing systems. After an initial discussion on possible areas of application, an approach that integrates artificial intelligence, operations research, and neural networks for the solution of a scheduling problem is examined

Application Of Distributed Knowledge Bases In Intelligent Manufacturing, Cihan H. Dagli, Gerald E. Hoffman

Engineering Management and Systems Engineering Faculty Research & Creative Works

The authors consider independent knowledge bases operating on separate work stations networked together within the domain of knowledge-based scheduling. The scheduling problem is addressed through distributed knowledge bases that have an ability to pass information back and forth between small knowledge bases functioning at different decision-making levels. A small manufacturing plant is conceptualized in order to experiment with this process. The general outline and areas of the manufacturing shop are shown. The domain specific area for the knowledge bases is to optimize the scheduling of work at each work station in order to meet a weekly quota. Automatic guided vehicle, …

Proposed Scheduling Methods For Printed Circuit Board Assembly, Tali Freed, Ezey M. Dar-El, Oded Z. Maimon

Industrial and Manufacturing Engineering

The current practice in the assembly of electronic components on printed circuit boards (PCB's) is serial production, a process characterized by very long set-up times.

However. with the advent of efficient on-line process information, new production control methods are now possible. This paper proposes two new production methods - the Grouped Set-up (GSU) method and the Sequence-Dependent Scheduling (SDS) method, which can significantly reduce set-up times.

It is shown that the GSU always performs better than the SDS method in terms of total production flow (throughput). while the SDS performs better than the GSU method in terms of work-in-process (WIP) …