Journal ArticleDOI
Real-time production scheduling of an automated cardline
TLDR
A flow model of an automated-printed circuit card assembly line at the International Business Machines Corporation (IBM) plant at Tucson, Arizona is described and it is demonstrated that the hierarchical strategy is effective in meeting production requirements while limiting average work-in-process (WIP).Abstract:
In this paper, we describe a flow model of an automated-printed circuit card assembly line at the International Business Machines Corporation (IBM) plant at Tucson, Arizona. We use a simulation based on this model as a test bed to discuss the performance of a hierarchical scheduling policy described in [3]. We compare this with other policies for loading parts into a flexible manufacturing system. We demonstrate that the hierarchical strategy is effective in meeting production requirements (both total volume and balance among part types) while limiting average work-in-process (WIP). This is a consequence of the feedback nature of the policy. Hedging (i.e. building up buffer stock) compensates for machine failures, thus resulting in high production percentages. The work-in-process (WIP) is low, as the policy reduces internal queues by respecting the capacity constraints of the system at every instant.read more
Citations
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Production control of a manufacturing system with multiple machine states
TL;DR: The production control of a single-product manufacturing system with arbitrary number of machine states (failure modes) is discussed and the optimal production policy has a special structure and is called a hedging-point policy.
Journal ArticleDOI
Production control of a manufacturing system with multiple machine states
TL;DR: In this paper, the production control of a single-product manufacturing system with arbitrary number of machine states (failure modes) is discussed, where the objective is to find a production policy that would meet the demand for the product with minimum average inventory or backlog cost.
Journal ArticleDOI
Classification and review of FMS scheduling procedures
TL;DR: In this article, a classification scheme is provided that is based on key factors such as the FMS type, the mode of system operation, the nature of the demands placed on the system, the scheduling environment, and the responsiveness of the system to disturbances.
Journal ArticleDOI
A flexible approach to part type selection in flexible flow systems using part mix ratios
Kathryn E. Stecke,Ilyong Kim +1 more
TL;DR: In this paper, a flexible short-term production planning function for setting up a flexible manufacturing system prior to production should be developed so as to interact well with the operation of the system over time.
Journal ArticleDOI
System approach to design generic software for real-time control of flexible manufacturing systems
TL;DR: The authors' discrete event dynamic system (DEDS) model establishes an abstract comprehensive framework for developing a generic control software at such levels, able to represent both hardware/software components of the FMS and processing activity plans with a common "language".
References
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Journal ArticleDOI
A Proof for the Queuing Formula: L = λW
TL;DR: In this paper, it was shown that if the three means are finite and the corresponding stochastic processes strictly stationary, and if the arrival process is metrically transitive with nonzero mean, then L = λW.
Book
An algorithm for the computer control of a flexible manufacturing system
TL;DR: In this paper, a multilevel hierarchical control algorithm is proposed which involves a stochastic optimal control problem at the first level, and optimal production policies are characterized, and a computational scheme is described.
Journal ArticleDOI
An Algorithm for the Computer Control of a Flexible Manufacturing System
TL;DR: A multilevel hierarchical control algorithm is proposed which involves a stochastic optimal control problem at the first level of the system and a computational scheme is described.
Proceedings ArticleDOI
An algorithm for the computer control of production in a flexible manufacturing system
TL;DR: In this paper, a three-level hierarchical control algorithm is proposed which involves stochastic optimal control, network optimization, and scheduling for an automated manufacturing system consisting of machines which can perform a variety of operations on a family of parts.
Journal ArticleDOI
Short-term production scheduling of an automated manufacturing facility
TL;DR: Extensions to the on-line hierarchical scheduling scheme for flexible manufacturing systems of Kimemia and Gershwin are described, including algorithm simplification, substantial reductions of off-line and on- line computation time, and improvement of performance.
Related Papers (5)
A Branch and Bound Approach for Machine Load Balancing in Flexible Manufacturing Systems
A flexible approach to part type selection in flexible flow systems using part mix ratios
Kathryn E. Stecke,Ilyong Kim +1 more