Development of a rule-based finite capacity scheduling system

Development of a Rule-Based Finite Capacity Scheduling System

This paper discusses the use of the finite capacity planning model as a basis for a job-shop scheduling system. The suitability of this approach for constructing short term schedules with very short lead times is examined. This paper introduces a rule-based scheduling system whose operation, unlike previous monolithic schedulers, is based around distinct though interlinked processes. Scheduling...

Semi-blind scheduling in a finite capacity system

In this paper a class of queueing model is studied where servers break down but the information regarding breakdowns is not immediately available. As such, jobs continue to arrive into a queue for some period after service has ceased. These queues have finite capacity, therefore there is also the possibility that queues become full causing jobloss. The effect of the duration of any delay on inf...

A Fuzzy Rule-based Expert System for the Prognosis of the Risk of Development of the Breast Cancer

Soft Computing techniques play an important role for decision in applications with imprecise and uncertain knowledge. The application of soft computing disciplines is rapidly emerging for the diagnosis and prognosis in medical applications. Between various soft computing techniques, fuzzy expert system takes advantage of fuzzy set theory to provide computing with uncertain words. In a fuzzy exp...

The AMP-AKZO Companys Sumilation-Based Finite Capacity Scheduling System - Simulation Conference Proceedings, 1994. Winter

The AMP-AKZO Riverhead Circuits Division is responsible for manufacturing printed circuit boards. Scheduling problems have resulted from both physical and operating constraints. The AMP-AKZO PROVISA Scheduling System ( A P S S ) was developed to better manage order due-date and plant throughput performance. The fully integrated system is made up of the Production Control Inventory System (PCIS)...

Runtime verification of programs using rule-based active system