Warehouse Activity Profiling and Data Mining
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4.5 Item-Order Completion Distribution t t T h o h a e s t m i c t a e a n m ll f -i ol l rlda er gr ec og rmopulpest ioofnodr di set rr si b. uTthi oons e( sFmi g aulrl eg r2o4u) pi sd eonf ti ti fei me ss scma na lol fgt reonubpes aosfs ii gt enme ds order completion zones in which the productivity, processing rate, and processing quality are 2-5 times better than that found in the general warehouse.
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Full Case Orders Broken Case Orders Overall
% Orders Complete
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
% Items
Figure 24. Item-order completion distribution.
The item-order completion distribution is constructed by ranking items from mp oopsut l at or il teeams ts ,ptohpeunl at hr .e tBhergeien nmi no gs t wp iot ph utlha er imt eoms ts , peot cp. utlhaer iitteemms, tahreenp tuht ea gt wa i on smt tohset oc or dmepr l es teet . tIon dt heitse er mx aimn ep lwe h1a0t%p oo fr tt ihoeni toefmt hs ec aonr dc oemr spal egt ei v5e0n%s uobf st he te oo fr dt he res i. tSeumpsp coas ne Io wf tahl ke i on rt do eyrosu. r wWahraeth wo uosuel da nydoiud ednot i wf y i 1t h0 %t h oo fs teh 1e 0i t%e m? s It hhaot pc ea nycooumwp loeut ledl y cfri lel a5t 0e %a warehouse within the warehouse or order completion zone for those 10%. The design principle is similar to that used in agile manufacturing, where we laonodk tfhoor ssempaalrl tgs rmo uapkse oufpp aa rst ms tahl la gt rhoauvpe tsei mc hinl aorl omg ya cchei lnl ewrhoeurtei ni ng st .h eT hmoasne umf aacct hu irni ne gs
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