Integrated warehouse assignment and carton configuration optimization using deep clustering-based evolutionary algorithms

作者：

Highlights：

• Optimization of the packaging and delivery of orders from warehouse to customers.

• A multiobjective formulation has been proposed to solve the optimization problem.

• Clustering and evolutionary algorithms have been used to get optimal solutions.

• Proposed methodology reduces the carbon footprint and carton manufacturing costs.

摘要

•Optimization of the packaging and delivery of orders from warehouse to customers.•A multiobjective formulation has been proposed to solve the optimization problem.•Clustering and evolutionary algorithms have been used to get optimal solutions.•Proposed methodology reduces the carbon footprint and carton manufacturing costs.

论文关键词：Last-mile,Warehouse Operations,Deep Clustering,Multi-objective

论文评审过程：Received 5 February 2022, Revised 1 July 2022, Accepted 22 August 2022, Available online 27 August 2022, Version of Record 7 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118680