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HEURISTIC LOT‐SIZING PERFORMANCE IN A ROLLING‐SCHEDULE ENVIRONMENT *
Author(s) -
Blackburn Joseph D.,
Millen Robert A.
Publication year - 1980
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1980.tb01170.x
Subject(s) - sizing , schedule , computer science , heuristic , mathematical optimization , operations research , industrial engineering , mathematics , artificial intelligence , engineering , art , visual arts , operating system
This paper examines the impact of a rolling‐schedule implementation on the performance of three of the better known lot‐sizing methods for single‐level assembly systems——Part‐Period‐Cost‐Balancing, Silver‐Meal, and Wagner‐Whitin algorithms—and a modified version of the Silver‐Meal procedure. The main finding is that under certain conditions the computationally simpler Silver‐Meal heuristic can provide cost performance superior to that of the Wagner‐Whitin algorithm.