启发式
计算机科学
数学优化
流水车间调度
序列(生物学)
变量(数学)
作业车间调度
数学
地铁列车时刻表
化学
生物化学
操作系统
数学分析
作者
Shasha Wang,Mary E. Kurz,Scott J. Mason,Eghbal Rashidi
标识
DOI:10.1080/00207543.2019.1571251
摘要
A paint manufacturing firm's customers typically place orders for two or more products simultaneously. Each product belongs to a family that denotes batching compatibility during manufacturing. Further, products can be split into several sublots to allow overlapping production in a two-stage hybrid flow shop wherein various identical, capacitated machines operate in parallel at each stage. We present a mixed-integer linear program (MILP) for this integrated batching and lot streaming problem with variable sublots, incompatible job families, and sequence-dependent setup times. The model determines the number and size of sublots for each product and the production sequencing for each sublot such that the total weighted completion time is minimised. To promote practical implementation, we develop and evaluate heuristics to efficiently solve this problem.
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