Bin packing problem with restricted item fragmentation: Assignment of jobs in multi-product assembly environment with overtime

Mustafa Ustuncelik, Cagri Koc, Huseyin Tunc
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Abstract

This paper studies the assignment problem of multi product assembly jobs to days. The problem aims to minimize the amount of overtime while avoiding assembly delays for jobs that can be fragmented into smaller sub-tasks. When sequence-dependent setup times are negligible, the problem considered transforms into the bin packing problem with restricted item fragmentation where jobs represent items and days stand for bins. We present a mixed integer programming model of the problem by extending earlier formulations in the literature. Computational experiments show that the mathematical model obtained optimal solutions for majority of instances tested within reasonable computation times.
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限制物品碎片的装箱问题:加班多产品装配环境下的工作分配
研究了多产品装配作业日分配问题。这个问题的目的是尽量减少加班时间,同时避免可以分解成更小的子任务的工作的组装延迟。当序列相关的设置时间可以忽略不计时,所考虑的问题将转换为具有受限物品碎片的装箱问题,其中作业代表物品,而天代表箱子。我们提出了一个混合整数规划模型的问题,通过推广早期的公式在文献中。计算实验表明,在合理的计算时间内,数学模型对大多数测试实例都得到了最优解。
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来源期刊
CiteScore
3.30
自引率
6.20%
发文量
13
审稿时长
16 weeks
期刊最新文献
Bin packing problem with restricted item fragmentation: Assignment of jobs in multi-product assembly environment with overtime Scheduling of distributed additive manufacturing machines considering carbon emissions The effect of fractional order mathematical modelling for examination of academic achievement in schools with stochastic behaviors The solvability of the optimal control problem for a nonlinear Schrödinger equation Regional enlarged controllability of a fractional derivative of an output linear system
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