We study the scheduling of production in a multi-item, failure-prone machine with setup times, with the objective of minimising long-run average inventory and ...
We study the scheduling of production in a multi-item, failure-prone machine with setup times, with the objective of minimising long-run average inventory ...
We study the scheduling of production in a multi-item, failure-prone machine with setup times, with the objective of minimising long-run average inventory ...
Abstract: We study the scheduling of production in a multi-item, failure-prone machine with setup times, with the objective of minimising long-run average ...
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Dynamic scheduling in make-to-stock production systems with setup times and random breakdowns : performance analysis and improved policies ; Tubilla, Fernando ; ...
We study the scheduling of production in a multi-item, failure-prone machine with setup times, with the objective of minimising long-run average inventory ...
In this paper, we propose a new subspace analysis approach named Agglomerative Attribute Grouping (AAG) that aims to address this challenge by searching for ...
Using sample path comparisons and dynamic programming, we give a characterization of the optimal hedging point policy for a certain region of the state space.
Accompanying data for publication: Dynamic Scheduling in Make-to-Stock Production Systems with Setup Times and Random Breakdowns: Performance Analysis and ...
We consider the problem of dynamically allocating production capacity between two products to minimize the average inventory and.
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