@article{04df9932e4434e08a97a9a22db620b75,
title = "A novel approach for modeling order picking paths",
abstract = "We introduce the visibility graph as an alternative way to estimate the length of a route traveled by order pickers in a warehouse. Heretofore it has been assumed that workers travel along a network of travel paths corresponding to centers of aisles, including along the right angles formed where picking aisles join cross aisles. A visibility graph forms travel paths that correspond to more direct and, we believe, more appropriate “travel by sight.” We compare distance estimations of the visibility graph and the aisle-centers method analytically for a common traditional warehouse design. We conduct a range of computational experiments for both traditional and fishbone warehouse layouts to assess the impact of this change in distance metric. Distance estimations using aisle-centers calculates a length of a picking tour on average 10–20% longer compared to distance estimations based on the visibility graph. The visibility graph metric also has implications for warehouse design: when comparing three traditional layouts, the distance model using a visibility graph resulted in choosing a different best layout in 13.3% of the cases.",
author = "Ozden, {Sabahattin G.} and Smith, {Alice E.} and Gue, {Kevin R.}",
note = "Funding Information: This research was supported in part by the National Science Foundation under grant CMMI‐1200567. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. The authors would like to thank Dr. Aleksandr Vinel for his contributions to some of the analytical results and to undergraduate and graduate research assistants Michael Robbins, Ataman Billor, and Akhil Varma Jampana for data collection and testing the code. Source code and binary files can be downloaded from https://github.com/gokhanozden/gabak . Funding Information: information Division of Civil, Mechanical and Manufacturing Innovation, 1200567; National Science Foundation, CMMI-1200567This research was supported in part by the National Science Foundation under grant CMMI-1200567. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. The authors would like to thank Dr. Aleksandr Vinel for his contributions to some of the analytical results and to undergraduate and graduate research assistants Michael Robbins, Ataman Billor, and Akhil Varma Jampana for data collection and testing the code. Source code and binary files can be downloaded from https://github.com/gokhanozden/gabak. Publisher Copyright: {\textcopyright} 2020 Wiley Periodicals LLC.",
year = "2021",
month = jun,
doi = "10.1002/nav.21966",
language = "English (US)",
volume = "68",
pages = "471--484",
journal = "Naval Research Logistics",
issn = "0894-069X",
publisher = "John Wiley and Sons Inc.",
number = "4",
}