Order picking is the most costly activity in a typical distribution center. This project focused on the development of a slotting approach that is based on order sequences. A mathematical model of the problem is formulated and solutions are compared to several heuristics in order to illustrate the value of an order-based slotting approach. Preliminary results on a large scale data set show a picking cost savings between 15-3% over a manual approach.
Technological and economic analysis of inserting alternative Automatic identification technologies (AITs), including Radio Frequency Identification (RFID) and other wireless sensor networks towards improving a process.
Sponsor: Cotton Incorporated Research Team: Terry R. Collins, Joshua P. Jones, James L. Simonton, Lisa Patviviatisiri, Tosanwumi Maku Universities Involved: Texas Tech University Start Date: 01/01/06 End Date: 12/31/06 Summary: The objective of this project is to create a representative cost model that can be used in later work to […]