Document Type
Research Paper
Publication Date
2012
Abstract
Picking machines, also known as remote-order-picking systems, are an example of a stock-to-picker piece-level order-fulfillment technology that consists of two or more pick stations and a common storage area. An integrated closed-loop conveyor decouples the pick stations from the storage area by transporting the needed totes to and from the storage area and the pick stations. We develop a probabilistic model capable of quantifying the inventory differences between order-fulfillment technologies that pool inventory with technologies that do not pool inventory. To determine the throughput of a picking machine, we develop a methodology that incorporates existing analytical models for the picking machine’s subsystems. We present a case study comparing a picking machine to a carousel-pod system to illustrate how a manager could use our methodology to answer system design questions. Finally, we present conclusions and future research.
Publication Title
Progress in Material Handling Research: 2012
Recommended Citation
Pazour, Jennifer A. and Meller, Russell D., "Modeling the Inventory Requirement and Throughput Performance of Picking Machine Order-fulfillment Technology" (2012). 12th IMHRC Proceedings (Gardanne, France – 2012). 24.
https://digitalcommons.georgiasouthern.edu/pmhr_2012/24
Included in
Industrial Engineering Commons, Operational Research Commons, Operations and Supply Chain Management Commons
Comments
Paper 25