RAWSim-O: A Simulation Framework for Robotic Mobile Fulfillment Systems

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RAWSim-O: A Simulation Framework for Robotic Mobile Fulfillment Systems. / Merschformann, Marius; Xie, Lin; Li, Hanyi.
In: Logistics Research, Vol. 11, No. 1, 8, 12.2018.

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Merschformann M, Xie L, Li H. RAWSim-O: A Simulation Framework for Robotic Mobile Fulfillment Systems. Logistics Research. 2018 Dec;11(1):8. doi: 10.23773/2018_8

Bibtex

@article{131059e638bc4220b3ef03f70740f107,
title = "RAWSim-O: A Simulation Framework for Robotic Mobile Fulfillment Systems",
abstract = "This paper deals with a new type of warehousing system, Robotic Mobile Fulfillment Systems (RMFS). In such systems, robots are sent to carry storage units, so-called “pods,” from the inventory and bring them to human operators working at stations. At the stations, the items are picked according to customers{\textquoteright} orders. There exist new decision problems in such systems, for example, the reallocation of pods after their visits at work stations or the selection of pods to fulfill orders. In order to analyze decision strategies for these decision problems and relations between them, we develop a simulation framework called “RAWSim-O” in this paper. Moreover, we show a real-world application of our simulation framework by integrating simple robot prototypes based on vacuum cleaning robots.",
keywords = "Engineering, Demonstration, Parts-to-Picker Systems, Robotic Mobile Fulfillment Systems, Simulation, Warehousing Systems",
author = "Marius Merschformann and Lin Xie and Hanyi Li",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2018.",
year = "2018",
month = dec,
doi = "10.23773/2018_8",
language = "English",
volume = "11",
journal = "Logistics Research",
issn = "1865-0368",
publisher = "Bundesvereinigung Logistik (BVL)",
number = "1",

}

RIS

TY - JOUR

T1 - RAWSim-O: A Simulation Framework for Robotic Mobile Fulfillment Systems

AU - Merschformann, Marius

AU - Xie, Lin

AU - Li, Hanyi

N1 - Publisher Copyright: © The Author(s) 2018.

PY - 2018/12

Y1 - 2018/12

N2 - This paper deals with a new type of warehousing system, Robotic Mobile Fulfillment Systems (RMFS). In such systems, robots are sent to carry storage units, so-called “pods,” from the inventory and bring them to human operators working at stations. At the stations, the items are picked according to customers’ orders. There exist new decision problems in such systems, for example, the reallocation of pods after their visits at work stations or the selection of pods to fulfill orders. In order to analyze decision strategies for these decision problems and relations between them, we develop a simulation framework called “RAWSim-O” in this paper. Moreover, we show a real-world application of our simulation framework by integrating simple robot prototypes based on vacuum cleaning robots.

AB - This paper deals with a new type of warehousing system, Robotic Mobile Fulfillment Systems (RMFS). In such systems, robots are sent to carry storage units, so-called “pods,” from the inventory and bring them to human operators working at stations. At the stations, the items are picked according to customers’ orders. There exist new decision problems in such systems, for example, the reallocation of pods after their visits at work stations or the selection of pods to fulfill orders. In order to analyze decision strategies for these decision problems and relations between them, we develop a simulation framework called “RAWSim-O” in this paper. Moreover, we show a real-world application of our simulation framework by integrating simple robot prototypes based on vacuum cleaning robots.

KW - Engineering

KW - Demonstration

KW - Parts-to-Picker Systems

KW - Robotic Mobile Fulfillment Systems

KW - Simulation

KW - Warehousing Systems

UR - https://www.bvl.de/lore/copyright-and-license-agreement

UR - http://www.scopus.com/inward/record.url?scp=85072044185&partnerID=8YFLogxK

U2 - 10.23773/2018_8

DO - 10.23773/2018_8

M3 - Journal articles

VL - 11

JO - Logistics Research

JF - Logistics Research

SN - 1865-0368

IS - 1

M1 - 8

ER -

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