Warehouse Activity Profiling and Data Mining

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Figure 10. Layer picking profile for a large food and beverage company. Note that the large majority of all order line requests are for layer increments; strongly suggesting the evaluation and implementation of case layer picking technology; in this case leading to a 68% productivity improvement. (RightChain™ Insights) A common pallet order increment we encounter features customers ordering ionr df ue lrl llianyeesr aqr ue af no rt i tf ui el sl .l aAyne re xi na cmr pe ml e eins tisl l; ul es tardaitnegd t ion oFui rg us rt reo1n0g . rNe oc ot emtmh aetn 8d 0a t%i o no f t thhaet lt ahyr eoru g ph ipcukti ncga p ba ec i t yi m. Ap l we mi deen tveadr i ettoy odfr laamy eart i cpai cl lkyi n ignsc rs eyas tseemtshaer ep dr oe ds curci tbi ve di t yi n atnhde case picking chapter. With the case order increment distribution (Figure 11) we determine the pa roer t1i o0n0 opfi eac ef us l li nc aar ct oa nr t ot hna at ni sd rae qc uu setsot emde ro no rcduesrtso m5 0e,r t ohredceursst. o Fmoerr eoxradme rpel ed, hi fa tl fh et hr ee f ( c u F a l i r l g t c u o a n r r e . t o 2 W n .x . h ) , A a c t s u a d s t o r o e m y s o u e u l r t s , n w t o e e t n i c w d e o t t o u h l o d a r t l d i i k e s e r u t a n o r u o s s u e u n t a d p l r h a ic a b e l o f b u a r t e c t a a h k r i t s s o a n d t i a s a n t r h d i a b a l u f t q c i a u o r a n t n ? o t n i t I ( y n a c n t l h d o i s c s e r c e t a a o s t a e e aa lnmi no ns teor rpdaecrki nfgo rt haaht aqluf -acnatrittoynn)oawn dt oa ot radfeurl li nc afrutlol nc atrot oenn ci no uc rreamg ee nc ut ss.t o m e r s w h o a r e

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