Modeling class-based storage assignment over life cycle picking patterns
Modeling class-based storage assignment over life cycle picking patterns
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DOI：
10.1016/j.ijpe.2015.06.026
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发表时间：
2015-12
影响因子：
12
通讯作者：
R. Manzini;R. Accorsi;M. Gamberi;S. Penazzi
中科院分区：
文献类型：
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作者：
R. Manzini;R. Accorsi;M. Gamberi;S. Penazzi
本文旨在介绍一种新的方法，设计和管理的仓储系统，其中涉及到可变的需求模式，在协议的生命周期的库存单位（SKU）。两个基于成本的混合整数线性规划（MILP）模型制定，以解决两个技术选择，例如，零件到拣选系统（自动化存储和检索系统- AS/RS，miniloads等）。和拣货员到零件的订单拣货系统，以及仓库区的分配。特别是，一个基于类的存储分配的生命周期挑选度量。本文提出的方法、所采用的流行度度量和所开发的模型可以支持（1）仓储和物料搬运（W&MH）系统的选择决策，（2）确定存储类别的存储容量，（3）将存储容量分配给存储类别，以及（4）动态的，即，以时间为基础的再仓储处理管理。两个重要的数值例子说明了所提出的方法和模型的应用和潜力。
This paper aims to introduce a new approach for the design and management of warehousing systems, which involves variable demand patterns in agreement with the life cycle of stock keeping units (SKUs). Two cost-based mixed integer linear programming (MILP) models are formulated to address both the technology selection, e.g. part-to-picker systems (as automated storage and retrieval systems – AS/RS, miniloads, etc.) and picker-to-part order picking systems, and the SKU assignment to the storage areas. In particular, a class based storage assignment over a life cycle picking metric is adopted. This metric is a rolling measure of popularity.The proposed approach, the adopted measure of popularity and the developed models can support (1) decision making for the selection of warehousing and material handling (W&MH) systems, (2) the determination of the storage capacity for the storage classes, (3) the assignment of SKU to the storage classes and (4) the dynamic, i.e., time-based, management of re-warehousing handlings. Two significant numerical examples illustrate the application and the potential of the proposed approach and models.