TOPIC 1 : A Distributed Approach for the Production Flow Control of
Interconnected Flezible Manufacturing Systems
A dynamic production control policy was developed for interconnected flexible manufacturing
systems with stochastic capacity. The objective is to track a desired production
rate target in a Just-In-Time manner by minimizing the average production
surplus and backlog. The production rate target or demand was assumed to be piecewise
constant with respect to time. A 'Manufacturing Flow Control' model was used
to allocate dynamically available capacity to the production of various part types.
The approach used was distributed, as the production rate at each work cell was
scheduled on the basis of local information containing the current inventory level
of the adjacent buffers and the present state of the work cell (number of up/down
machines).
TOPIC 2: Single Run Optimization in Discrete Event Simulations of
Manufacturing Systems
A new technique was devised to optimize the controllable parameters ( eg. buffer size,
batch size, routing proportions, production rate etc.) of stochastic manufacturing
systems in a single simulation run. Pertubation Analysis methods were used to estimate
the derivatives in a single simulation run of the system model. In addition, a
Sequential Hypothesis Testing approach was used to update the parameters on line, as
the simulation was running. This algorithm is not only computationally inexpensive
but also has the inherent property of escaping from poor local optima.
| Identifer | oai:union.ndltd.org:bu.edu/oai:open.bu.edu:2144/49207 |
| Date | January 1991 |
| Creators | Rastogi, Sharad |
| Publisher | Boston University |
| Source Sets | Boston University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
| Rights | This work is being made available in OpenBU by permission of its author, and is available for research purposes only. All rights are reserved to the author. |
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