When designing an order picking system, order
picking e¦ciency depends on a variety of design
considerations. These considerations include order
picking strategies, product storage policy, and
picker routing pattern. Some literature uses the
change of these design considerations to improve
the performance of order picking system. Jarvis and
McDowell [5] developed a stochastic model for
locating product in an order picking system such
that average order picking time can be minimized.
Goetschalckx and Ratli¤ [6] developed an e¦cient
optimal algorithm which employed di¤erent policies
to save travel time in an aisle order picking
environment.
Brynzer and Johnsson [4] summarized the factors
that a¤ect the performance of order picking
system, including the composition of orders in
a batch, the sequence in which the items will be
retrieved, where to store each item, the division of
the picking area into zones, layout design, picking
equipment, and design of picking information.
Among these factors, the batching and zoning of
orders can a¤ect the e¦ciency of order picking
directly. Using batching and zoning strategies to
improve order picking performance is named order
picking strategies in this paper.
Zoning picking is a strategy that divides stocking
area into di¤erent picking zones, and then splits an
order into many suborders for these zones and
often picks simultaneously. The items from each
zone are then gathered together. Batching picking
is a strategy that assembles the same items from
di¤erent orders and picked together, resulting in
decreased travel distances and shorter picking time.
Gibson and Sharp [7] compared di¤erent batching
procedures and showed that intelligent batching
yields signiÞcant reductions in picking time.
What order picking strategies should be utilized
in an order picking system? The selection of order
picking strategies depends on order proÞles. An
order proÞle contains the quantity and item number
of products that should be picked. Sharp et al.
[3] proposed some order picking strategies and
deÞned the type of order proÞle. Sharp et al. [3]
pointed out that speciÞc order proÞle using associated
picking strategies will result in reduction of
picking time. But there are very few detailed descriptions
of the process to classify order proÞle.
Therefore, it is an important issue to determine the
proÞle of each order before selecting appropriate
order picking strategies.
When designing an order picking system, orderpicking e¦ciency depends on a variety of designconsiderations. These considerations include orderpicking strategies, product storage policy, andpicker routing pattern. Some literature uses thechange of these design considerations to improvethe performance of order picking system. Jarvis andMcDowell [5] developed a stochastic model forlocating product in an order picking system suchthat average order picking time can be minimized.Goetschalckx and Ratli¤ [6] developed an e¦cientoptimal algorithm which employed di¤erent policiesto save travel time in an aisle order pickingenvironment.Brynzer and Johnsson [4] summarized the factorsthat a¤ect the performance of order pickingsystem, including the composition of orders ina batch, the sequence in which the items will beretrieved, where to store each item, the division ofthe picking area into zones, layout design, pickingequipment, and design of picking information.Among these factors, the batching and zoning oforders can a¤ect the e¦ciency of order pickingdirectly. Using batching and zoning strategies toimprove order picking performance is named orderpicking strategies in this paper.Zoning picking is a strategy that divides stockingarea into di¤erent picking zones, and then splits anorder into many suborders for these zones andoften picks simultaneously. The items from eachzone are then gathered together. Batching pickingis a strategy that assembles the same items fromdi¤erent orders and picked together, resulting indecreased travel distances and shorter picking time.Gibson and Sharp [7] compared di¤erent batchingprocedures and showed that intelligent batchingyields signiÞcant reductions in picking time.What order picking strategies should be utilizedin an order picking system? The selection of orderpicking strategies depends on order proÞles. Anorder proÞle contains the quantity and item numberof products that should be picked. Sharp et al.[3] proposed some order picking strategies anddeÞned the type of order proÞle. Sharp et al. [3]pointed out that speciÞc order proÞle using associatedpicking strategies will result in reduction ofpicking time. But there are very few detailed descriptionsof the process to classify order proÞle.Therefore, it is an important issue to determine theproÞle of each order before selecting appropriateorder picking strategies.
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