Results 301 to 310 of about 381,564 (342)
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ADAPTIVE CONTROL IN PRODUCTION SCHEDULING
IFAC Proceedings Volumes, 1980Abstract The paper reports on a new method for solving perturbation problems in the course of production scheduling of cutting operations in the field of machine tool manufacture. It can perform this task by supplementing a previously prepared heuristic scheduling method with an algorithm which optimizes cutting parameters.
M. Girnt, E. Szelke
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Production Scheduling Using AI Techniques
IFAC Proceedings Volumes, 1990Abstract Within the CIM environment, one of the main areas of investigation at now is the scheduling system. Usually, the scheduling problem was solved in an inneficient way due to the complexity of the problem. Recently, Artificial Intelligence is begining to be apllied to this kind of problems and seems to be a good solution. This paper describes a
B. Rodríguez-Somoza +2 more
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Chemical Production Scheduling
2021Understand common scheduling as well as other advanced operational problems with this valuable reference from a recognized leader in the field. Beginning with basic principles and an overview of linear and mixed-integer programming, this unified treatment introduces the fundamental ideas underpinning most modeling approaches, and will allow you to ...
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Production Control: Scheduling
Aircraft Engineering and Aerospace Technology, 1945IN our series of papers on Production Control in Aircraft Engineering, we have so far covered the following subjects: (1) Preproduction Planning (Dec. 1942), (2) The Production Plan (July 1944), (3) Shop‐loading (Aug. 1943), (4) Manufacturing Order Control (Jan. 1944), (5) A System of Works Control (September 1943). The British Standards Institution in
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Production scheduling of perishable products
International Journal of Production Research, 1976This paper extends the classical m product, single machine economic lot size problem to include the cost of returns due to spoilage. A revised cycle time is determined for the case where spoiled items are always returned and for the case where there is a chance the spoiled item will not be returned.
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PRODUCTION SCHEDULING USING GENETIC ALGORITHMS
IFAC Proceedings Volumes, 1992Abstract Genetic algorithms (GAs) have proved to be robust and reasonably fast in finding good solutions, but are still regarded as an academic toy. The work presented here prepares for a broad application of GAs in industrial settings by providing a user-oriented modelling environment.
J.W. Schulte, B.-D. Becker
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Productivity Through Scheduling
Cornell Hotel and Restaurant Administration Quarterly, 1969This article is based on a presentation made by Mr. Christensen in January 1969 at the 15th Annual Hotel Management Workshop, held at Cornell University.
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Production Scheduling Under JIT Constraints
1992Just-in-Time manufacturing requires the production of smaller and smaller batches, to respond quickly to customer demand and to reduce inventories and their associated costs.
GENTILI E +3 more
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2000
The master schedule is a time-phased planning chart that presents planned demand of designated master planning items. These designated, or assigned items, can be finished goods, such as a television set, a planned module, such as a transmission, or an option, such as a sun roof.
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The master schedule is a time-phased planning chart that presents planned demand of designated master planning items. These designated, or assigned items, can be finished goods, such as a television set, a planned module, such as a transmission, or an option, such as a sun roof.
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1990
Production scheduling is today most often done by traditional MRP II systems (Manufacturing Resource Planning). These systems have several severe problems: They are planning for unlimited resources. They only compute the resources needed and do not schedule jobs that need the same resource at different times.
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Production scheduling is today most often done by traditional MRP II systems (Manufacturing Resource Planning). These systems have several severe problems: They are planning for unlimited resources. They only compute the resources needed and do not schedule jobs that need the same resource at different times.
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