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Designing a block stacked warehouse for dynamic and stochastic product flow: a scenario-based robust approach

机译：设计用于动态和随机产品流的块堆叠仓库：基于场景的健壮方法

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摘要

The problem considered in this paper is motivated from a real life case. Conventional models in designing block stacked warehouse assume uniform and deterministic inflow and outflow of products in specific quantities and time intervals. These assumptions would lead to underestimation of space requirement for the case. Also, the possibility of leasing additional warehouse space during seasonal spikes was found to be unexplored in block stacking design literature. In this study, we develop a scenario-based model to address the decisions of warehouse size, lane depth and hiring of temporary additional warehouse capacity when flow of products is stochastic and dynamic in nature. A sequential decision model is presented with future operating scenarios assumed to branch out in the form of a tree. On comparison with conventional block stacking design methods, the model is found to provide robust solution in stochastic and dynamic environments in terms of risk reduction and infeasibility avoidance. Further, the model gives additional flexibility to the designer to trade-off model and solution robustness with predicted cost.
机译：本文考虑的问题是由现实生活中的案例引起的。设计块状堆叠仓库的常规模型假定在特定数量和时间间隔内产品的统一确定性流入和流出。这些假设将导致低估案件所需的空间。另外，在块堆积设计文献中还没有发现在季节性高峰期间租赁额外仓库空间的可能性。在这项研究中，我们开发了一个基于场景的模型，以解决在产品流本质上是随机且动态的情况下仓库规模，车道深度和临时额外仓库容量的雇用的决策。提出了顺序决策模型，并假设未来的操作场景以树的形式分支出来。与常规的块堆叠设计方法相比，该模型在降低风险和避免不可行方面，为随机和动态环境提供了可靠的解决方案。此外，该模型为设计人员提供了额外的灵活性，可以在预测成本与模型和解决方案稳健性之间进行权衡。

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