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Furmans K, Huber C, Wisser J (2009). Queueing Models for manual order picking systems with blocking. Logistics Journal, Vol. 01. (urn:nbn:de:0009-14-20926)

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%0 Journal Article
%T Queueing Models for manual order picking systems with blocking
%A Furmans, Kai
%A Huber, Christian
%A Wisser, Jens
%J Logistics Journal
%D 2009
%V 01
%N 01
%@ 1860-7977
%F furmans2009
%X In many picker-to-part order picking systems with high space utilization, blocking situations occur and lead to productivity losses. On the one hand order pickers cannot pass each other within aisles and cross-aisles, on the other hand they want to access a certain resource of the system, for example a base station, at the same time. Very few papers and articles dealing with this problem are available in the literature and the few approaches only offer limited possibilities of modeling and quantifying. For this reason the Deutsche Forschungsgemeinschaft (DFG) is funding a research project which aims at developing theoretical foundations to understand blocking in manual order picking systems and quantify its effects by means of an analytical model. In this paper we identify queueing theory as a potential modeling method. We show how to transfer a manual order picking system into a queueing model and present applicable solution algorithms. The analysis of an exemplary system shows that blocking situations reduce the productivity of an order picker and that throughput losses can be as high as 10% in typical implementations. For these scenarios we were able to show that the relative error between the queueing model and simulation is below 4%. Therefore queueing theory is suited as a modeling method because compared to simulation, results can be derived fairly easy and in short time.
%L 620
%K Model
%K Picking Systems
%K Simulation
%R 10.2195/LJ_Ref_Furmans_2092_092009
%U http://nbn-resolving.de/urn:nbn:de:0009-14-20926
%U http://dx.doi.org/10.2195/LJ_Ref_Furmans_2092_092009
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Bibtex

@Article{furmans2009,
  author = 	"Furmans, Kai
		and Huber, Christian
		and Wisser, Jens",
  title = 	"Queueing Models for manual order picking systems with blocking",
  journal = 	"Logistics Journal",
  year = 	"2009",
  volume = 	"01",
  number = 	"01",
  keywords = 	"Model; Picking Systems; Simulation",
  abstract = 	"In many picker-to-part order picking systems with high space utilization, blocking situations occur and lead to productivity losses. On the one hand order pickers cannot pass each other within aisles and cross-aisles, on the other hand they want to access a certain resource of the system, for example a base station, at the same time. Very few papers and articles dealing with this problem are available in the literature and the few approaches only offer limited possibilities of modeling and quantifying. For this reason the Deutsche Forschungsgemeinschaft (DFG) is funding a research project which aims at developing theoretical foundations to understand blocking in manual order picking systems and quantify its effects by means of an analytical model. In this paper we identify queueing theory as a potential modeling method. We show how to transfer a manual order picking system into a queueing model and present applicable solution algorithms. The analysis of an exemplary system shows that blocking situations reduce the productivity of an order picker and that throughput losses can be as high as 10{\%} in typical implementations. For these scenarios we were able to show that the relative error between the queueing model and simulation is below 4{\%}. Therefore queueing theory is suited as a modeling method because compared to simulation, results can be derived fairly easy and in short time.",
  issn = 	"1860-7977",
  doi = 	"10.2195/LJ_Ref_Furmans_2092_092009",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-20926"
}
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RIS

TY  - JOUR
AU  - Furmans, Kai
AU  - Huber, Christian
AU  - Wisser, Jens
PY  - 2009
DA  - 2009//
TI  - Queueing Models for manual order picking systems with blocking
JO  - Logistics Journal
VL  - 01
IS  - 01
KW  - Model
KW  - Picking Systems
KW  - Simulation
AB  - In many picker-to-part order picking systems with high space utilization, blocking situations occur and lead to productivity losses. On the one hand order pickers cannot pass each other within aisles and cross-aisles, on the other hand they want to access a certain resource of the system, for example a base station, at the same time. Very few papers and articles dealing with this problem are available in the literature and the few approaches only offer limited possibilities of modeling and quantifying. For this reason the Deutsche Forschungsgemeinschaft (DFG) is funding a research project which aims at developing theoretical foundations to understand blocking in manual order picking systems and quantify its effects by means of an analytical model. In this paper we identify queueing theory as a potential modeling method. We show how to transfer a manual order picking system into a queueing model and present applicable solution algorithms. The analysis of an exemplary system shows that blocking situations reduce the productivity of an order picker and that throughput losses can be as high as 10% in typical implementations. For these scenarios we were able to show that the relative error between the queueing model and simulation is below 4%. Therefore queueing theory is suited as a modeling method because compared to simulation, results can be derived fairly easy and in short time.
SN  - 1860-7977
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-20926
DO  - 10.2195/LJ_Ref_Furmans_2092_092009
ID  - furmans2009
ER  -
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Wordbib

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<b:Comments>In many picker-to-part order picking systems with high space utilization, blocking situations occur and lead to productivity losses. On the one hand order pickers cannot pass each other within aisles and cross-aisles, on the other hand they want to access a certain resource of the system, for example a base station, at the same time. Very few papers and articles dealing with this problem are available in the literature and the few approaches only offer limited possibilities of modeling and quantifying. For this reason the Deutsche Forschungsgemeinschaft (DFG) is funding a research project which aims at developing theoretical foundations to understand blocking in manual order picking systems and quantify its effects by means of an analytical model. In this paper we identify queueing theory as a potential modeling method. We show how to transfer a manual order picking system into a queueing model and present applicable solution algorithms. The analysis of an exemplary system shows that blocking situations reduce the productivity of an order picker and that throughput losses can be as high as 10% in typical implementations. For these scenarios we were able to show that the relative error between the queueing model and simulation is below 4%. Therefore queueing theory is suited as a modeling method because compared to simulation, results can be derived fairly easy and in short time.</b:Comments>
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ISI

PT Journal
AU Furmans, K
   Huber, C
   Wisser, J
TI Queueing Models for manual order picking systems with blocking
SO Logistics Journal
PY 2009
VL 01
IS 01
DI 10.2195/LJ_Ref_Furmans_2092_092009
DE Model; Picking Systems; Simulation
AB In many picker-to-part order picking systems with high space utilization, blocking situations occur and lead to productivity losses. On the one hand order pickers cannot pass each other within aisles and cross-aisles, on the other hand they want to access a certain resource of the system, for example a base station, at the same time. Very few papers and articles dealing with this problem are available in the literature and the few approaches only offer limited possibilities of modeling and quantifying. For this reason the Deutsche Forschungsgemeinschaft (DFG) is funding a research project which aims at developing theoretical foundations to understand blocking in manual order picking systems and quantify its effects by means of an analytical model. In this paper we identify queueing theory as a potential modeling method. We show how to transfer a manual order picking system into a queueing model and present applicable solution algorithms. The analysis of an exemplary system shows that blocking situations reduce the productivity of an order picker and that throughput losses can be as high as 10% in typical implementations. For these scenarios we were able to show that the relative error between the queueing model and simulation is below 4%. Therefore queueing theory is suited as a modeling method because compared to simulation, results can be derived fairly easy and in short time.
ER
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Mods

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  <abstract>In many picker-to-part order picking systems with high space utilization, blocking situations occur and lead to productivity losses. On the one hand order pickers cannot pass each other within aisles and cross-aisles, on the other hand they want to access a certain resource of the system, for example a base station, at the same time. Very few papers and articles dealing with this problem are available in the literature and the few approaches only offer limited possibilities of modeling and quantifying. For this reason the Deutsche Forschungsgemeinschaft (DFG) is funding a research project which aims at developing theoretical foundations to understand blocking in manual order picking systems and quantify its effects by means of an analytical model. In this paper we identify queueing theory as a potential modeling method. We show how to transfer a manual order picking system into a queueing model and present applicable solution algorithms. The analysis of an exemplary system shows that blocking situations reduce the productivity of an order picker and that throughput losses can be as high as 10% in typical implementations. For these scenarios we were able to show that the relative error between the queueing model and simulation is below 4%. Therefore queueing theory is suited as a modeling method because compared to simulation, results can be derived fairly easy and in short time.</abstract>
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Full Metadata

Bibliographisches Zitat Logistics Journal : referierte Veröffentlichungen, Vol. 01, Iss. 01
Titel

Queueing Models for manual order picking systems with blocking (eng)
Autor Kai Furmans, Christian Huber, Jens Wisser
Sprache eng
Zusammenfassung In many picker-to-part order picking systems with high space utilization, blocking situations occur and lead to productivity losses. On the one hand order pickers cannot pass each other within aisles and cross-aisles, on the other hand they want to access a certain resource of the system, for example a base station, at the same time. Very few papers and articles dealing with this problem are available in the literature and the few approaches only offer limited possibilities of modeling and quantifying. For this reason the Deutsche Forschungsgemeinschaft (DFG) is funding a research project which aims at developing theoretical foundations to understand blocking in manual order picking systems and quantify its effects by means of an analytical model. In this paper we identify queueing theory as a potential modeling method. We show how to transfer a manual order picking system into a queueing model and present applicable solution algorithms. The analysis of an exemplary system shows that blocking situations reduce the productivity of an order picker and that throughput losses can be as high as 10% in typical implementations. For these scenarios we were able to show that the relative error between the queueing model and simulation is below 4%. Therefore queueing theory is suited as a modeling method because compared to simulation, results can be derived fairly easy and in short time.
Freie Schlagworte Model, Picking Systems, Simulation
DDC 620
Rechte DPPL
URN: urn:nbn:de:0009-14-20926
DOI https://doi.org/10.2195/LJ_Ref_Furmans_2092_092009