This paper presents a cost performance comparison of different lot‐sizing algorithms under multi‐level rolling schedule conditions. Most multi‐level studies have focused on fixed horizon problems, omitting an important characteristic of an operating MRP system. The results indicate that, under certain conditions, the computationally simple Silver‐Meal heuristic provides lower lot‐sizing costs than the Wagner‐Whitin algorithm. In addition, cost modifications are introduced which greatly enhance the multi‐level performance of these single‐level lot‐sizing heuristics.
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Blackburn et al. (1982) studied this question.
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