sc1x w9l2 warehousebasics final annotated ·...
TRANSCRIPT
MIT Center for Transportation & Logistics ctl.mit.edu
Warehousing Fundamentals
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
MIT Center for Transportation & Logistics 3Public Domain from http://maxpixel.freegreatpicture.com/
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
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
5
MIT Center for Transportation & Logistics
Why have warehouses?
6
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
7
m originsn destinations
mn versus m+n total arcs
MIT Center for Transportation & Logistics
Types of Warehouses in the Supply Chain
8
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
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)
9
Two Competing ObjectivesStore – maximize utilization of spaceFlow – optimizing throughput
Fundamental Warehousing Trade-‐off:
Space vs. Time
MIT Center for Transportation & Logistics
Form of the Product Along Supply Chain
10
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
MIT Center for Transportation & Logistics
Core Operational Functions
11
MIT Center for Transportation & Logistics
Core Warehouse Functions
12
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
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
MIT Center for Transportation & Logistics
Activity Based Layout
14
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
MIT Center for Transportation & Logistics
Receiving
15
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
16
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
17
MIT Center for Transportation & Logistics
Putaway
18
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
19
Putaway
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)
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)
MIT Center for Transportation & Logistics
Order Picking I: Pallets
22
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
23
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.
MIT Center for Transportation & Logistics 25
Flow Through U-‐Shape (Centered)
U-‐Shape (Divided)Corner
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)
MIT Center for Transportation & Logistics
Order Picking II: Cases & Eaches
27
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
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.
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.
MIT Center for Transportation & Logistics
Order Picking III: Strategies
31
MIT Center for Transportation & Logistics
Picking Strategies
A E
B F
C G
D H
I M
J N
K O
L P
Q U
R V
S W
T X
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
MIT Center for Transportation & Logistics
Picking Strategies
A E
B F
C G
D H
I M
J N
K O
L P
Q U
R V
S W
T X
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
MIT Center for Transportation & Logistics
Picking Strategies
A E
B F
C G
D H
I M
J N
K O
L P
Q U
R V
S W
T X
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
MIT Center for Transportation & Logistics
Check, Pack, & Ship
35
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
MIT Center for Transportation & Logistics
Profiling & Assessing Performance
37
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
38
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
39
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
40
MIT Center for Transportation & Logistics
Key Points
41
MIT Center for Transportation & Logistics
Core Warehouse Functions
42
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
MIT Center for Transportation & Logistics
Common Flow Patterns
43
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
MIT Center for Transportation & Logistics
Activity Based Layout
44
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
MIT Center for Transportation & Logistics
Trade-‐Offs & General Rules
45
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
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.
MIT Center for Transportation & Logistics
ctl.mit.eduMIT Center for Transportation & Logistics
Questions, Comments, Suggestions?Use the Discussion Forum!
“Pele – biting off more than he can chew”courtesy Brady Kay Goodman