cient and Stable Heuristics For Lot SizingProblems With Variable Unit
نویسنده
چکیده
We present lot-sizing heuristics that are both e cient and stable for the dynamic lot-sizing problem(DLSP) with constant or variable unit costs, including setup, inventory holding and production costs. These heuristics are myopic variants of the forward Wagner-Whitin algorithm with rolling horizons. Large scale computational experiments show that these heuristics considerably outperform other well known stable heuristics and produce close-to-optimal solutions for DLSP with general unit costs.
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Relax and Fix Heuristics for Simultaneous Lot Sizing and Sequencing the Permutation Flow Shops with Sequence-Dependent Setups
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