The Dynamic Family Assignment Heuristic

被引:2
作者
Bayley, Tiffany A. [1 ]
Bookbinder, James H. [1 ]
机构
[1] Univ Waterloo, Dept Management Sci, Waterloo, ON N2L 3G1, Canada
来源
IFAC PAPERSONLINE | 2015年 / 48卷 / 03期
关键词
Lot-sizing; joint replenishment; shipment consolidation; bin packing; mixed integer programming; metaheuristics; JOINT REPLENISHMENT PROBLEM; LOT-SIZING PROBLEM; OUTBOUND DISPATCH POLICIES; SET-UP COSTS; COORDINATED REPLENISHMENTS; CONSOLIDATED SHIPMENTS; DEMAND; INVENTORY; MODELS; ALGORITHMS;
D O I
10.1016/j.ifacol.2015.06.241
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
When multiple groups of orders are jointly replenished, the grouping of orders is typically performed once and remains static over the planning horizon. This, however, does not easily allow orders to be grouped by shipment due date, which is affected by updates in demand forecasts and could significantly impact container utilization. By dynamically assigning orders to containers, or "families", products can belong to different groups in different time periods. The dynamic family assignment heuristic iterates between a bin-packing problem and a multi-family joint replenishment problem to determine the optimal order-container assignments and volume to ship in each period, while maximizing container utilization and minimizing ordering and shipment costs. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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页码:1161 / 1166
页数:6
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