A note on picker blocking models in a parallel-aisle order picking system
Academic Article
-
- Overview
-
- Research
-
- Identity
-
- Additional Document Info
-
- View All
-
Overview
abstract
-
This note develops analytical picker blocking models to simply and accurately assess picker blocking in parallel-aisle order picking systems when multiple picks occur at a pick point. The Markov chain-based models characterize the two bounding walking speeds for modeling picker movement: unit walk time and instantaneous walk time. The unit walk time model has a state-space transition matrix that is reduced by a factor of 16 for both narrow-aisle and wide-aisle systems. Additionally, the model improves upon the existing literature by providing a closed-form expression for the narrow-aisle system with instantaneous walk time. Experimental results are provided to demonstrate how picker blocking is influenced by pick density in a variety of scenarios under varying assumptions regarding the maximum number of picks at a pick point. These results broaden those previously presented in the literature, as well as demonstrate the improved efficiency of the proposed model. © 2013 Taylor and Francis Group, LLC.
published proceedings
author list (cited authors)
-
Hong, S., Johnson, A. L., & Peters, B. A.
citation count
complete list of authors
-
Hong, Soondo||Johnson, Andrew L||Peters, Brett A
publication date
publisher
published in
Research
keywords
-
Discrete-time Markov Chains
-
Picker Blocking
-
Warehousing
Identity
Digital Object Identifier (DOI)
Additional Document Info
start page
end page
volume
issue