A decent sort: Edmonton Public Library's decision-making model for automated check-in and sorting equipment

Description

When the Edmonton Public Library (Alberta, Canada) chose to install automated check-in and sorting units at six branch libraries as part of its CA$6-million RFID conversion project, available floor space was the primary deciding factor: sorters went to the branches with the most space. While physical capacity is important, it is only one of many factors involved when deciding where to install automated return and sorting equipment, including logistical, financial, physical, technological, operational, and demographic considerations. Using the RFID project as a case study, Adrienne will present EPL’s formalized and expanded decision-making model, which brings these multiple factors together to help determine optimal conditions and locations for sorter installation.

Start Date

18-3-2010 11:10 AM

Comments

Keywords:

  • RFID
  • Sortation
  • AMH
  • Automated materials handling
  • Automated check-in
  • Sorters

EPL decision-making model.pdf (156 kB)
EPL decision-making model.pdf

General decision-making model.pdf (254 kB)
General decision-making model.pdf

LibTech 2010.pdf (4798 kB)
LibTech 2010.pdf

This document is currently not available here.

Share

COinS
 
Mar 18th, 11:10 AM

A decent sort: Edmonton Public Library's decision-making model for automated check-in and sorting equipment

When the Edmonton Public Library (Alberta, Canada) chose to install automated check-in and sorting units at six branch libraries as part of its CA$6-million RFID conversion project, available floor space was the primary deciding factor: sorters went to the branches with the most space. While physical capacity is important, it is only one of many factors involved when deciding where to install automated return and sorting equipment, including logistical, financial, physical, technological, operational, and demographic considerations. Using the RFID project as a case study, Adrienne will present EPL’s formalized and expanded decision-making model, which brings these multiple factors together to help determine optimal conditions and locations for sorter installation.