A Simple Model of Capacity Contention During New Product Introductions
A Simple Model of Capacity Contention During New Product Introductions
复制标题
新产品推出期间产能竞争的简单模型
DOI：
10.1109/tsm.2020.2981412
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发表时间：
2020
影响因子：
2.7
通讯作者：
R. Uzsoy
中科院分区：
文献类型：
--
作者：
A. B. Manda;R. Uzsoy
我们考虑在生产设施从生产旧产品过渡到生产新产品时确定最佳发布时间表的问题。我们使用简单的排队思想来模拟新产品的推出对两种产品的吞吐率和周期时间的影响。然后，我们结合从生产新产品中积累的经验中获得的知识，为产品过渡期间的发布计划制定确定性优化模型。由于模型是非线性和非凸的，我们使用遗传算法来获得接近最优的解决方案。最优解决方案的结构提供了对模型中涉及的不同成本之间关系的深入了解。计算实验表明，发布计划模型可以在合理的 CPU 时间内产生高质量的解决方案，并真实地反映系统的行为。主要观点是，在产品转换期间对发布进行仔细管理有可能减轻实践中经常观察到的许多不利影响，例如新旧产品的周期时间更长。
We consider the problem of determining an optimal release schedule for a production facility as it transitions from producing an older product to a newer one. We use simple queueing ideas to model the impact of the new product introduction on the throughput rate and cycle time of both products. We then incorporate the learning gained from accumulated experience in producing the new product to formulate a deterministic optimization model for release planning during product transitions. Since the model is nonlinear and non-convex we use a genetic algorithm to obtain near-optimal solutions. The structure of the optimal solution provides insights into the relationships between the different costs involved in the model. Computational experiments show that the release planning model produces high-quality solutions in reasonable CPU times, and reflects the behavior of the system realistically. The principal insight is that careful management of releases during product transitions has the potential to mitigate many of the adverse effects frequently observed in practice such as longer cycle times for both old and new products.