Integrating shelving technology selection and storage assignment under uncertainty: a two-stage mathematical programming approach

Key Points

• The research aims to develop an integrated approach for selecting shelving technology and assigning storage under uncertain conditions.
• Utilized a two-stage mathematical programming framework.
• Focused on optimizing technology selection and storage allocation simultaneously.
• Addressed scenarios with varying levels of uncertainty.
• Identified optimal shelving solutions that minimize costs under uncertainty.
• Demonstrated significant improvements in storage efficiency.
• Provided a robust decision-making framework applicable in various sectors.

Abstract