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MIT Center for Transportation & Logistics ctl.mit.edu Warehousing Fundamentals

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Page 1: SC1x W9L2 WarehouseBasics FINAL ANNOTATED · At,Pepsi,Co,distributioncenter,orderHpickers,ride,throughthe,forward ... to,the,picking,station.,Other,STP,systems,include,carousels,andautomated

MIT Center for Transportation & Logistics ctl.mit.edu

Warehousing  Fundamentals

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MIT Center for Transportation & Logistics 2

By  Андрей Романенко (Own  work)  [CC  BY-­‐SA  3.0  (http://creativecommons.org/licenses/by-­‐sa/3.0)],  via  Wikimedia  Commons

http://www.businesswire.com/news/home/20160711005258/en/SKECHERS-­‐Expands-­‐European-­‐Distribution-­‐Center

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MIT Center for Transportation & Logistics 3Public  Domain  from  http://maxpixel.freegreatpicture.com/

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MIT Center for Transportation & Logistics 4

By  Nelson  Pavlosky [CC  BY-­‐SA  2.0  (http://creativecommons.org/licenses/by-­‐sa/2.0)],  via  Wikimedia  Commons

By  thisisbossi from  Washington,  DC,  USA  (2009  06  09  -­‐ 6685  -­‐ Hanover  -­‐ SHA  Sign  Shop)  [CC  BY-­‐SA  2.0  (http://creativecommons.org/licenses/by-­‐sa/2.0)],  via  Wikimedia  Commons

Public  Domain  from  pixabay.com

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MIT Center for Transportation & Logistics

Three  Key  Questions  to  Answer

§ Why  do  we  have  warehouses?§ Store,  Handle,  and/or  Flow  Product

§ What  are  the  core  operational  functions?§ Receive,  Putaway,  Store,  Pick,  Pack,  Ship

§ How  do  we  assess  and  improve  performance?  § Activity  Profiling  and  Benchmarking

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MIT Center for Transportation & Logistics

Why  have  warehouses?

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MIT Center for Transportation & Logistics

Why  have  warehouses  or  other  facilities?

§ Better  Match  Supply  &  Demand    (store)§ Demand  and  supply  are  not  always  in  synch§ Storing  product  buffers  for  unexpected  shortages/demands

§ Enables  Consolidation  Opportunities  (flow)§ Larger  shipments  have  lower  per  unit  transportation  costs§ Bulk  buying  discount  opportunities  

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m  originsn  destinations

mn versus  m+n total  arcs

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MIT Center for Transportation & Logistics

Types  of  Warehouses  in  the  Supply  Chain

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Raw  Materials  Warehouse

Work-­‐In  Process  (WIP)  Warehouse

Finished  Goods  (FG)  Warehouse

FG  Warehouse

FG  Warehouse

FG  Warehouse

Distribution  Center  (DC)

Fulfillment  Center  (FC) Regional  or  Local  DC

adapted  from  Frazelle,  E.  (2001)  World  Class  Warehousing  and  Material  Handling

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MIT Center for Transportation & Logistics

Different  Facilities  Serving  Different  Roles

§ Raw  Material  Storage  – close  to  a  source  or  manufacturing  points§ WIP  Warehouses  – partially  completed  assemblies  and  components§ Finished  Goods  warehouses  – buffers  located  near  point  of  manufacture§ Local  Warehouses  – in  the  field  near  customer  locations  to  provide  rapid  

response  to  customers  § Fulfillment  Centers  – holds  product  and  ships  small  orders  to  individual  

consumers  (cases  or  eaches)  – predominately  for  e-­‐commerce§ Distribution  Centers  – accumulate  and  consolidate  products  from  multiple  

sources  for  common  shipment  to  common  destination/customer§ Mixing  Centers  – receives  material  from  multiple  sources  for  cross-­‐docking  and  

shipment  of  mixed  materials  (pallets  to  pallets)

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Two  Competing  ObjectivesStore  – maximize  utilization  of  spaceFlow  – optimizing  throughput

Fundamental  Warehousing  Trade-­‐off:

Space  vs.  Time

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MIT Center for Transportation & Logistics

Form  of  the  Product  Along  Supply  Chain

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The  unit  of  storage  for  a  product  gets  smaller  as  it  moves  downstream  from  container  to  pallet  to  case  to  eaches.    

adapted  from  Bartholdi,  J.  and  S.  Hackman  (2016)  Warehouse  &  Distribution  Science (Release  0.97)

A  General  Handling  Rule:The  smaller  the  handling  unit,  the  

greater  the  handling  cost!

Fundamental  Warehousing  Design  Element:

Inbound  to  Outbound  size

§ Size  impacts  design  &  operations§ Inbound  vs.  Outbound

§ Pallets  to  Pallets§ Pallets  to  Cases§ Pallets  to  Eaches

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MIT Center for Transportation & Logistics

Core  Operational  Functions

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MIT Center for Transportation & Logistics

Core  Warehouse  Functions

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Receive Put-­‐Away Check,  Pack,  ShipPickStore

Receive• Scheduling  arrivals• Dock  management• Receipt  of  materials• Unloading  &  staging• Inspection  for  damage,  short,  incomplete,  etc.

Put-­‐Away• Material  handling• Verify  storage  location• Move  material  in  storage  location• Record  level  &  location• Set  slotting  location

Store• Physically  hold  the  material• Consumes  space  more  than  time• Multiple  forms  of  storage  (pallet,  case,  each)

Pick• Moving  items  from  storage  for  orders• Verify  inventory  on  hand• Create  shipping  documentation• Consists  of  travel,  search,  &  extract

Check-­‐Pack-­‐Ship• Check  order  for  completeness• Confirm  documents• Place  in  package(s)• Collect  common  orders• Schedule  pick  ups• Load  vehicle

Value-­‐Add  Services Returns

• Customization  of  products:  • Labeling  &  tagging,  Special  packaging,  Minor  assembly,  Kitting,  Re-­‐pricing,  etc.  

• Postponement  of  components  

• Handling  product  reverse  flows  for  multiple  reasons  (damage,  expired,  returned,  etc.)  • Can  run  5%  (retail)  and  up  to  30%  (e-­‐commerce)  of  volume• Steps  can  include  inspection,  repair,  reuse,  refurbish,  recycle,  and/or  dispose

~10%   ~15%   ~55%   ~20%  Percent  of  Labor  Costs

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MIT Center for Transportation & Logistics

Common  Flow  Patterns

13

Receiving

Pallet  Reserve

Case  Pick

Eaches Pick

Sorting

Unitizing

Shipping

Crossdock

Pallets

Cases

Cases

Pallets

Eaches

adapted  from  Bartholdi,  J.  and  S.  Hackman  (2016)  Warehouse  &  Distribution  Science (Release  0.97)

Drop  Ship  or  Direct

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MIT Center for Transportation & Logistics

Activity  Based  Layout

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Receiving

Putaway

Pallet  Storage  &  Retrieval  Systems

Case/Carton  Picking  Systems

Broken  Case  /  EachesPicking  Systems

Unitizing  &ShippingCrossdocking

Sortation  &  Accumulation

adapted  from  Frazelle,  E.  (2001)  World  Class  Warehousing  and  Material  Handling

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MIT Center for Transportation & Logistics

Receiving

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MIT Center for Transportation & Logistics

Receiving§ Sets  up  the  entire  interaction  at  the  warehouse§ Some  best  practices

§ Use  ASNs  (advanced  shipping  notice)§ Electronic  notification  of  pending  deliveries  (EDI  856  and  EDIFACT  DESADV,  Dispatch  Advice,  message)

§ Can  save  40%  of  receiving  costs  &  used  to  trigger  payment  of  the  vendor§ Integrate  yard  and  dock  scheduling  

§ Queuing  at  facilities  (dwell  time)  can  exceed  20%  of  driver’s  day§ Coordinating  deliveries  with  carriers  reduces  carbon  footprint

§ Prepare  for  shipment  at  receiving§ Pre-­‐package  in  issue  increments  – try  to  match  order  size§ Capture  and  communicate  cube/weight  info  at  receiving§ Apply  tags  and  labels  as  needed

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MIT Center for Transportation & Logistics

Receiving§ The  best  option  is  to  minimize  receiving  activity§ Pursue  drop  shipping  when  ever  possible

§ Direct  shipping  removes  need  for  all  touches  and  handling§ Explore  multi-­‐stop  or  multi-­‐compartment  options

§ If  drop  ship  is  not  possible,  explore  cross-­‐docking§ IB  pallets  are  sorted  and  moved  to  OB  staging  docks§ There  is  no  staging,  inspection,  or  storage  at  IB  § Cross-­‐docking  operations  should  not  interfere  with

other  warehouse  functions

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MIT Center for Transportation & Logistics

Putaway

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MIT Center for Transportation & Logistics

§ Essentially  order  picking  in  reverse!  § Role  of  Warehouse  Management  System  (WMS)  

§ Determines  storage  location  for  received  items  (slotting)§ Directs  staff  where  to  place  product  and  records  inventory  level§ Requires:

§ Data:  size,  weight,  cube,  height,  segmentation  status,  current  orders,  current  status  of  pick  face,  etc.  

§ Identification  (bar  coding  or  RFID)  of  products  and  locations

§ Different  approaches  &  strategies§ Directed  – to  specific  location  selected  ahead  of  time

§ Primary  vs Secondary  Storage§ Fixed  Location  vs Random  Most  Efficient§ Shared  vs Dedicated  spaces

§ Batched  &  Sequenced  – pre-­‐sort  at  staging  for  commonly  located  items§ Chaotic  – user  picks  any  location  and  records  item-­‐location

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Putaway

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MIT Center for Transportation & Logistics

Putaway – Minimizing  Distance  Traveled

Empty  slot  location  for  pallet  storage

Location  of  pallet  to  be  retrieved

Loaded  movement  (with  pallet)

Empty  movement  (no  pallet)

Current  location  adapted  from  Bartholdi,  J.  and  S.  Hackman  (2016)  Warehouse  &  Distribution  Science (Release  0.97)

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MIT Center for Transportation & Logistics

Putaway – Minimizing  Distance  Traveled

Empty  slot  location  for  pallet  storage

Location  of  pallet  to  be  retrieved

Loaded  movement  (with  pallet)

Empty  movement  (no  pallet)

Current  location  

Interleaving  Putaways and  Retrievals  Dual  Cycle  OperationsSimilar  to  vehicle  routing  in  transportation

adapted  from  Bartholdi,  J.  and  S.  Hackman  (2016)  Warehouse  &  Distribution  Science (Release  0.97)

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MIT Center for Transportation & Logistics

Order  Picking  I:  Pallets

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MIT Center for Transportation & Logistics

Picking  – Pallets,  Cases,  &  Eaches§ Order  Picking  is  the  most  labor  intensive  task  ~50-­‐60%

§ Traveling 55%  § Searching 15%§ Extracting 10%§ Other  tasks 20%

§ The  method  of  picking  differs  based  on  the  size  of  the  thing  being  picked§ Full  Pallet  Retrieval  – easiest  and  fastest§ Case  Picking  § Small  Item  Picking  – most  expensive  and  time  consuming

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MIT Center for Transportation & Logistics

Pallet  or  Unit  Loads  

adapted  from  Bartholdi,  J.  and  S.  Hackman  (2016)  Warehouse  &  Distribution  Science (Release  0.97)

Receiving

Shipping

What  is  a  convenient  location?• Try  one  that  minimizes  total  labor  time  

(distance)  to  putaway and  retrieve:Min  c*Σi(dini)

• where:c  =  labor  cost  per  distance  di =  distance  for  pallet  location  i from  

receiving  to  location  to  shippingni =  average  number  of  times  location  i is  

visited  per  year    ≅ #  pallets  sold  /  #  pallets  in  order

e.g.,  A  sells  30  pallets/year  and  Q=5,  nA=6B  sells  60  pallets/year  and  Q  30,  nB=2

Simple  Heuristic:1. Rank  all  positions  from  low  to  high  di2. Rank  all  SKUs  from  high  to  low  nj3. Assign  next  highest  SKU  (nj)  to  next  

lowest  location  (di)

most  convenient

leastconvenient

leastconvenient

Note  that  convenience  is  a  function  of  warehouse  layout  and  flow!This  is  a  Flow-­‐Through  design.

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MIT Center for Transportation & Logistics 25

Flow  Through U-­‐Shape  (Centered)

U-­‐Shape  (Divided)Corner

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MIT Center for Transportation & Logistics

Cross  aisles  can  shorten  trips  – but  may  slow  down  total  time

Angled  or  fishbone  aisles  can  increase  

efficiency  by  20%  but  take  up  more  space.  

Aisle  Layout• Usually  best  to  have  aisles  parallel  to  flow• Cross  aisles  can  shorten  distances  – but  

take  up  space  &  increases  aisle  crossing• Angled/fishbone  aisles  can  increase  

efficiency  – especially  with  central  dispatch  point

• Fast  moving  items  should  be  put  in  convenient  locations

• Convenience  is  a  function  of  layout  and  shipping  &  receiving  locations

adapted  from  Bartholdi,  J.  and  S.  Hackman  (2016)  Warehouse  &  Distribution  Science (Release  0.97)

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MIT Center for Transportation & Logistics

Order  Picking  II:  Cases  &  Eaches

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MIT Center for Transportation & Logistics 28

Cases  – weighs  5-­‐50  lbs (2.3-­‐23  kg)Can  be  handled  by  1  personUsually  stored  on  palletUniform  shape  and  size  (conveyable)

pick  faces

Case  Picking  from  Pallets

By  Adamhallgmbh (Own  work)  [CC  BY-­‐SA  3.0  de  (http://creativecommons.org/licenses/by-­‐sa/3.0/de/deed.en)],  via  Wikimedia  Commons

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MIT Center for Transportation & Logistics

Case  Picking

29All  photos  from  Bartholdi,  J.  warehouse-­‐science.com

Case  picking  of  fast-­‐movers  from  pallet  to  conveyor  (far  left  side)  at  Toys’R Us    

At  Pepsi  Co  distribution  center,  order-­‐pickers  ride  through  the  forward  pick  area,  picking  cartons  to  pallets.

Carton  picking  area  from  both  pallets  (left  and  front)  and  carton  flow  racks  (right  side  back)  at  ABG.    

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MIT Center for Transportation & Logistics

A  stock  to  picker  system  – Kiva  (now  Amazon  Robotics)  – which  brings  items  to  pick  to  the  picking  station.  Other  STP  systems  include  carousels  and  automated  storage/retrieval  systems  (AS/RS).    

Eaches Picking

30photos  from  Bartholdi,  J.  warehouse-­‐science.com

Fast-­‐pick  area  for  eaches at  ABG.    The  flow  rack  is  shallow  on  the  conveyor  side  and  deeper  on  the  opposite  side.

Pick-­‐to-­‐light  system  where  the  zone  control  panel  says  "Pick  tote  02287"  and  lights  up  the  appropriate  storage  locations  to  pick  from.

Slow-­‐pick  area  for  eaches – note  that  there  is  no  pick  to  light  system  here.    Workers  pick  according  to  the  shipping  list  in  each  box.

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MIT Center for Transportation & Logistics

Order  Picking  III:    Strategies

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Picking  Strategies

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Order  1:  B-­‐E-­‐J-­‐K-­‐O-­‐VOrder  2:  D-­‐C-­‐B-­‐Q-­‐R-­‐SOrder  3:  B-­‐I-­‐J-­‐T-­‐S-­‐U-­‐V

Single  Picker  -­‐ Single  Order  

• Similar  to  grocery  shopping  with  a  list• Good  for  low  number  of  lines/order• Suitable  for  short  pick  paths• No  need  to  “marry”  the  orders  afterwards• Expected  travel  time  (distance)  per  item  can  be  high

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MIT Center for Transportation & Logistics

Picking  Strategies

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Order  1:  B-­‐E-­‐J-­‐K-­‐O-­‐VOrder  2:  D-­‐C-­‐B-­‐Q-­‐R-­‐SOrder  3:  B-­‐I-­‐J-­‐T-­‐S-­‐U-­‐V

Single  Picker  -­‐ Single  Order  Single  Picker  – Multiple  Orders  (Batch)  

Picklist:  D-­‐C-­‐B-­‐B-­‐B-­‐E-­‐I-­‐J-­‐J-­‐K-­‐O-­‐T-­‐S-­‐S-­‐R-­‐Q-­‐U-­‐V-­‐V

• Similar  to  grocery  shopping  for  many  at  one  time• Expected  travel  time  (distance)  per  item  is  reduced• Requires  sorting  and  “marrying”  items• Can  sort  “on-­‐cart”  or  after  tour• Works  for  both  picker-­‐to-­‐stock  and  stock-­‐to-­‐picker

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MIT Center for Transportation & Logistics

Picking  Strategies

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Order  1:  B-­‐E-­‐J-­‐K-­‐O-­‐VOrder  2:  D-­‐C-­‐B-­‐Q-­‐R-­‐SOrder  3:  B-­‐I-­‐J-­‐T-­‐S-­‐U-­‐V

Single  Picker  -­‐ Single  Order  Single  Picker  – Multiple  Orders  (Batch)  

• Similar  to  divide  and  conquer  grocery  shopping  for  multiple  people

• Well  suited  for  orders  with  high  line  count• Expected  travel  time  (distance)  per  item  is  reduced• Minimizes  congestion  &  socializing  in  pick  aisles• Pickers  can  become  “experts”  in  a  zone  but  lose  order  

completion  accountability• Requires  sorting  and  consolidation  of  items• Allows  for  simultaneous  filling  of  orders• Difficult  to  balance  workload  across  zones

Multiple  Picker  – Multiple  Orders  (Zone)  

Zone  II  Picklist:  K-­‐J-­‐J-­‐I-­‐OZone  I  Picklist:  D-­‐C-­‐B-­‐B-­‐B-­‐E

Zone  III  Picklist:  T-­‐S-­‐S-­‐R-­‐Q-­‐U-­‐V-­‐V

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MIT Center for Transportation & Logistics

Check,  Pack,  &  Ship

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MIT Center for Transportation & Logistics

Check,  Pack,  &  Ship

§ Checking§ Create  &  verify  shipping  labels§ Confirm  weight  and  cube  

§ Pack§ Package  for  damage  protection§ Unitizing  pallets

§ Ship§ Essentially  reverse  of  receiving§ Dock  door  and  yard  management§ Minimize  staging  requirements§ Container/trailer  loading  

optimization

36By  heb@Wikimedia Commons  (mail)  -­‐ Own  work,  CC  BY-­‐SA  3.0,  https://commons.wikimedia.org/w/index.php?curid=17332612

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MIT Center for Transportation & Logistics

Profiling  &  Assessing  Performance

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MIT Center for Transportation & Logistics

Warehouse  Activity  Profiling§ How  do  we  determine  how  to  design  and  operate  a  warehouse  or  

distribution  center?    § Data  worth  examining  .  .  .  

§ Number  of  SKUs  in  the  warehouse§ Number  of  pick-­‐lines  per  day  &  number  of  units  per  pick-­‐line§ Number  &  size  of  customer  orders  shipped  and  shipments  received  per  day§ Rate  of  new  SKU  introductions  and  respective  lifecycle

§ Be  sure  to  look  at  the  distribution,  not  just  averages!    § Data  sources:

§ Master  SKU  data  – physical,  financial,  and  other  characteristics  § Order  History  – customer  transactions  (physical  rather  than  financial)§ Warehouse  Layout  -­‐ location  information  – least  standardized

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MIT Center for Transportation & Logistics

Segmentation  Analysis§ It’s  not  just  for  demand  planning!§ Different  segmentation  views  give  different  insights

§ Frequency  of  SKUs  sold§ Top  selling  SKUs  influence  retail  operations  – not  necessarily  warehouse  operations

§ Frequency  of  pallets/cases/cartons  by  SKU§ Will  not  necessarily  follow  SKU  frequency§ Provides  insights  into  receiving,  putaway,  and  restocking§ SKUs  with  few  pieces  per  case  will  rise  to  the  top

§ Frequency  of  picks  by  SKU§ Order  picking  drives  most  labor  costs  § Determines  slotting  and  forward  pick  locations

§ Variability  of  demand  § Seasonality  – by  year,  quarter,  day  of  week,  time  of  day  .  .  .  § Correlation  to  other  products  – affinity  between  items  and  families

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MIT Center for Transportation & Logistics

Measuring  and  Benchmarking§ Major  Warehousing  Cost  Drivers

§ Labor  =   (person-­‐hours/year) x (labor  rate)§ Space  = (area  occupied) x   (cost  of  space)§ Equipment  =   (money  invested)   x (amortization  rate)  

§ Performance  Measures§ Productivity/Efficiency

§ Ratio  of  output  to  the  inputs  required§ e.g.,  labor  =  (units,  cases,  or  pallets)  /  (labor  hours  expended)

§ Utilization§ Percentage  of  an  asset  being  actively  used§ e.g.,  storage  density  =  (storage  capacity  in  WH)  /  (total  area  of  WH)

§ Quality  /  Effectiveness§ Accuracy  in  putaway,  inventory,  picking,  shipping,  etc.    

§ Cycle  Time§ Dock-­‐to-­‐Stock  time  – time  from  receipt  to  being  ready  to  be  picked§ Order  Cycle  Time  – time  from  when  order  is  dropped  until  it  is  ready  to  ship

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Key  Points

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MIT Center for Transportation & Logistics

Core  Warehouse  Functions

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Receive Put-­‐Away Check,  Pack,  ShipPickStore

Receive• Scheduling  arrivals• Dock  management• Receipt  of  materials• Unloading  &  staging• Inspection  for  damage,  short,  incomplete,  etc.

Put-­‐Away• Material  handling• Verify  storage  location• Move  material  in  storage  location• Record  level  &  location• Set  slotting  location

Store• Physically  hold  the  material• Consumes  space  more  than  time• Multiple  forms  of  storage  (pallet,  case,  each)

Pick• Moving  items  from  storage  for  orders• Verify  inventory  on  hand• Create  shipping  documentation• Consists  of  travel,  search,  &  extract

Check-­‐Pack-­‐Ship• Check  order  for  completeness• Confirm  documents• Place  in  package(s)• Collect  common  orders• Schedule  pick  ups• Load  vehicle

Value-­‐Add  Services Returns

• Customization  of  products:  • Labeling  &  tagging,  Special  packaging,  Minor  assembly,  Kitting,  Re-­‐pricing,  etc.  

• Postponement  of  components  

• Handling  product  reverse  flows  for  multiple  reasons  (damage,  expired,  returned,  etc.)  • Can  run  5%  (retail)  and  up  to  30%  (e-­‐commerce)  of  volume• Steps  can  include  inspection,  repair,  reuse,  refurbish,  recycle,  and/or  dispose

~10%   ~15%   ~55%   ~20%  Percent  of  Labor  Costs

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Common  Flow  Patterns

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Receiving

Pallet  Reserve

Case  Pick

Eaches Pick

Sorting

Unitizing

Shipping

Crossdock

Pallets

Cases

Cases

Pallets

Eaches

adapted  from  Bartholdi,  J.  and  S.  Hackman  (2016)  Warehouse  &  Distribution  Science (Release  0.97)

Drop  Ship  or  Direct

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MIT Center for Transportation & Logistics

Activity  Based  Layout

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Receiving

Putaway

Pallet  Storage  &  Retrieval  Systems

Case/Carton  Picking  Systems

Broken  Case  /  EachesPicking  Systems

Unitizing  &ShippingCrossdocking

Sortation  &  Accumulation

adapted  from  Frazelle,  E.  (2001)  World  Class  Warehousing  and  Material  Handling

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MIT Center for Transportation & Logistics

Trade-­‐Offs  &  General  Rules

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Two  Competing  ObjectivesStore  – maximize  utilization  of  spaceFlow  – optimizing  throughput

Fundamental  Warehousing  Trade-­‐off:

Space  vs.  Time

A  General  Handling  Rule:The  smaller  the  handling  unit,  the  

greater  the  handling  cost!

Fundamental  Warehousing  Design  Element:

Inbound  to  Outbound  size

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MIT Center for Transportation & Logistics

Primary  References  

§ Bartholdi,  John,  And  Steven  Hackman  (2016)  Warehouse  &  Distribution  Science,  Release  0.97.    Available  at:    www.warehouse-­‐science.com.    Additionally,  there  are  photos  and  videos  of  different  warehouses  and  distribution  centers  as  well  as  other  tools  available  here.    

§ Frazelle,  Edward  (2001)  World-­‐Class  Warehousing  and  Material  Handling,  McGraw  Hill.    

§ Richards,  Gwynne  (2011)  Warehouse  Management,    Kogan Page  Limited.  § Napolitano,  Maida  (2003)  The  Time,  Space,  and  Cost  Guide  to  Better  Warehouse  

Design, Distribution  Group.    

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ctl.mit.eduMIT Center for Transportation & Logistics

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“Pele  – biting  off  more  than  he  can  chew”courtesy  Brady  Kay  Goodman