Mixed-case palletization for warehouse management systems

仓库管理系统的混合箱托盘化

• 批准号: 483877-2015
• 负责人: Gzara, Fatma
• 金额: $ 2.91万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=618215
• 关键词: Mixed; case; palletization; warehouse; management

Pallet building is one of the warehousing industry's core functions. Pallets are the standard form of delivery from warehouses to retail stores. Building good pallets that respect transportation requirements such as stability, as well as retail preferences such as item family groupings is a goal of all warehouse management systems.Mixed-case pallet optimization was the subject of an NSERC Engage application between Dematic Limited and Professor Samir Elhedhli and Professor Fatma Gzara from Waterloo's Optimization Lab (WatOpt).The research conducted under the Engage project focused on two objectives: developing an understanding of the major challenges of pallet building; surveying the literature on available solution methodologies; and performing a comparative study of the most promising methodologies. The current project builds on the research findings in the Engage project. The goal of this research project is to develop models, solution methodologies, and data-driven optimization approaches for the 3D bin packing problem and the mixed-case pallet optimization problem. While the problems are easy to state, their optimization is extremely challenging. We aim to propose, implement, and test a set of sophisticated solution approaches to solve the mixed case pallet optimization problem while incorporating several design requirements such as family groups, order preferences, fragility restrictions, and speed of solution.

托盘建设是仓储行业的核心功能之一。托盘是从仓库到零售店的标准运输方式。建立良好的托盘，尊重运输要求，如稳定性，以及零售偏好，如物品族分组是所有仓库管理系统的目标。混合托盘优化是Dematic有限公司和滑铁卢优化实验室（WatOpt）的Samir Elhedhli教授和Fatma Gzara教授之间的NSERC Engage应用程序的主题。在Engage项目下进行的研究侧重于两个目标：了解托盘建造的主要挑战；调查可用的解决方案方法的文献；并对最有前途的方法进行比较研究。目前的项目建立在参与项目的研究成果之上。本研究项目的目标是开发模型、解决方法和数据驱动的优化方法，以解决3D装箱问题和混合箱托盘优化问题。虽然这些问题很容易表述，但它们的优化却是极具挑战性的。我们的目标是提出、实施和测试一套复杂的解决方案方法来解决混合箱托盘优化问题，同时结合几个设计要求，如家庭群体、订单偏好、脆弱性限制和解决方案的速度。