Facility Location Operations Management Dr Ron Lembke Location
Facility Location Operations Management Dr. Ron Lembke
Location Decisions Long-term decisions n Difficult to reverse n Affect fixed & variable costs n ¨ Transportation costs (25% of price) ¨ Other costs: taxes, wages, rent n Objective: maximize benefit of location to firm
What factors should we consider? Suppliers close by – fast & cheap access n Customers close by n Skilled workforce n Competitors close by? Skilled labor pool n Cost of utilities, labor, taxes, insurance n Environmental laws / cost of compliance n “Business friendly” – ease of operating n Weather – odds of disruption n International - control issues? n
Local consumption Potato chips – one-day trip n Electronics – China n Coffee – one-way valves n
Tesla Essentially tax free 10 years Invest $3. 5 B in mfg & bldgs. $10 B expected investment
1. 8 m 1. 6 m
Jobs 50% from NV n June, 2016 n Dec 2015 – 300 n 2019 – 4, 000 n 2020 – 6, 500 n
Production Capacity
Third Party Logistics Providers (3 PL) n I don’t have a truck neither do you
3 PLs today – all the movements
Distribution Center Location Minimize demand-weighted distance: distance to each customer times the volume of shipments to the customer n How many to build? n Where to build? n
Cost Focus n Revenue does not vary much, depending on the location. ¨ Customers don’t care if your warehouse is in Sparks or Sacramento n Location is a major cost driver ¨ Impacts shipping, labor, production costs ¨ Varies greatly by location
Cost Minimization Identify the costs that will vary most with the location you choose. ¨ Transportation, taxes, labor, ¨ Facility construction cost, utilities Other considerations ¨ Proximity of services, suppliers ¨ Quality of life ¨ Government incentives
Case Study: Retailer Location of a 5 th returns processing facility n Addresses of 2125 Continental U. S. stores n Location of 4 Return Goods Processing Centers n List of all return shipments from each store, including pounds and # pallets n Calculated actual highway distances from every store to its DC n
Current Returns Center Network
Local Streets
Transportation Cost Approx. Current Pallets: 205, 254 n Current Pallet Miles: 77. 9 m n Cost / pallet-mile 11. 68 cents n Pallet-Mile = 1 pallet traveling 1 mile n Minimize average distance traveled n
Dallas Realignment
Close 1 Existing RC
Output Factors Minimize costs of deliveries to customers
Case Study: Importing from China to E. Coast
China to U. S. Container Rates NY / NJ $3, 600 36 days Wilmington DE $3, 950 36 days (door) Norfolk $3, 600 34 days Charleston $3, 600 35 days New Orleans $3, 200 36 days Atlanta $3, 200 37 days (door)
575 Drayage Rates Harrisburg Allentown 428 750 265 656 Baltimore 350 Philadelphia 305 850 Elizabeth, NJ 850 295 343 305 375 Wilmington 825 305 375 750 780 950 1125 888 Roanoke 750 Norfolk 725 950
China to Long Beach
Landbridge Data Columbus $3000, 21 days Cincinnati $2925, 21 d Louisville $3050, 20 d Murray $3350, 22 d Memphis $2900, 18. 5 d Nashville $3300, 22 d Atlanta $3300, 23 d
P-Median Problem Minimize average weighted distance to customers, when locating P facilities, where P>=1. n Can consider 100 s of locations. n Complex to solve – there is software for this. n
Cost Focus Process Overview 1. Identify general region to locate in n 2. Identify a list of candidate cities n n 3. Usually based on mostly on transp. costs Choose cities with good transp. Access Estimate labor cost & availability, facilities costs Select metro area, identify candidate properties. n Find cost of building or leasing individual properties
Location Methods n Minimize demand-weighted distance ¨ Center of Gravity – minimizing demand-weighted distances of one facility ¨ (P-Median Problem – minimize demand-weighted, multiple facilities) ¨ (Maximum Covering – facilities must be within 300 miels, etc. ) n n Factor Weighting – consider qualitative factors Break-even – Consider fixed & variable costs
Center of Gravity n n n Compute X and Y coordinates separately Xi is the X coordinate of location i. Yi is the Y coordinate of i. Qi is the X demand at i. XOPT and YOPT are the coordinates of the DC.
Center of Gravity Example 1 You need to decide where to build a new DC for Motorola. n It needs to serve wholesalers in Reno, Dallas, and Chicago. n Locate these cities on an unscientific, rectangular grid. n Grid must maintain relative distances, but X and Y grids could be different. n
Center of Gravity – Ex 1 100 80 60 40 20 0 0 20 40 60 80 100 120 140 160
Center of Gravity Method City Location Demand n Reno is at 17, 55 100 n Dallas is at 78, 20 90 n Chicago is at 112, 63 120 Sum 310 n Demand is TL/month Cx 17*100 78*90 112*120 22, 160 Cx=22, 160/310 =71. 5
Center of Gravity
Center of Gravity – Ex 1 100 80 60 40 20 0 0 20 40 60 80 100 120 140 160
North Platte Sharon Springs Salina KS Ctr Grav. Ex 1 - Detail
Compromise Solution n Closest town is Sharon Springs, KN ¨ Population 872 ¨ 30 miles from I-70. ¨ Probably not a good choice Salina, KN puts us at I-70 and I-35 n North Platte NE is at I-80 and 83. n ¨ Access to Dallas less convenient
Center of Gravity – Ex 1 100 80 60 40 20 0 0 20 40 60 80 100 120 140 160
Finalizing City n Go where other warehouses are ¨ More choice in pre-built buildings ¨ Cheaper, easier to build a new one ¨ More trucks to and from town, means more carriers there, means cheaper rates. ¨ Backhaul situation n Get estimates of inbound, outbound trucking costs. ¨ Provide lists of # loads per year to each destination, from each source
Biggest Freight Lanes
Maps Mercator – North – South preserved Robinson projection – less distortion
Center of Gravity Example 2 You need to decide where to locate a DC in South Dakota X Y Demand n Pierre 78 47 50 n Watertown 150 65 8 n Sioux Falls 160 25 90 n Rapid 12 42 60 Total 208 n
Center of Gravity- #2 100 80 60 40 20 0 0 20 40 60 80 100 120 140 160
Center of Gravity
Final Location? 100 80 60 40 20 0 0 20 40 60 80 100 120 140 160
Break Country Into Regions n Not optimal, but better than nothing, great if each division needs its own DC
Johannesburg, South Africa Medical waste disposal candidate site List of all medical waste generating pts
Factor Rating Method n n n n Most widely used method? Useful for service or industrial facilities: can include intangible, qualitative factors List relevant factors, assign a weight Develop a scale for each factor Score each factor using the scale Multiply scores by weights, add up Choose location with highest total score Kind of like “Miss America”
Factor Rating Example n n We need to decide where to build a new coffee roasting plant. There are two possible locations: Dallas, and Denver. We consider the following factors ¨ Transp: annual trucking costs in $k ¨ Lease: annual costs in $k ¨ Labor availability: scale 1 -10, unemployment, related industries ¨ Quality of life: scale 1 -10: outdoor activities, cultural, sports, education
Factor Rating Example Using a scoring system we developed, we have the following. Factor Weight TX CO Transportation 0. 4 900 1023 Plant Lease Cost 0. 3 45 39 Labor availability 0. 2 10 8 Quality of Life 0. 1 7 9. 5 Sum 1. 0 n
Normalizing Scores All factors must be scored on the same scale, like 1 -10, or 0 -1. 0, etc. n Costs need to be re-scaled n ¨ Lowest cost site gets a 10. ¨ More expensive site gets Plant Lease: 39/45 * 10 = 8. 7 n Transportation: 900/1, 023 * 10 = 8. 8 n n Multiply these raw scores by the weights for weighted scores
Factor Rating Example Factor Wt Transp. 0. 4 Plant 0. 3 Labor 0. 2 Q Life 0. 1 TOTAL 9. 07 TX CO Nrml Wtd 10 4. 00 8. 80 3. 52 8. 7 2. 61 10 3. 00 10 2. 00 8 1. 60 7 0. 70 9. 5 0. 95 9. 31
Service Facilities – Traffic focus n Revenue changes a huge amount, depending on the location. ¨ Old Navy in Stead because of cheap land? ¨ Location, location: you need traffic ¨ Make it convenient! ¨ vitamins: need enough, but it has to be the right kind ¨ people who would want to buy your products when they are there. n Cost probably doesn’t change nearly as much, by location ¨ All malls have high rent
Northtowne Center Wal-Mart Office Max Win. Co Toys Party
A Tale of Two Stores W K
Kmart Access “I-80 & Mc. Carran” sounds great. Kmart Sins: Can’t see from anywhere - see where we’re going Very circuitous entry - feels inconvenient, no matter how long it actually takes
Wal-Mart Access
Give Me Convenience
How Many Dealerships? n n 925 Cadillac Nebr. 2009: 22 -> 8 ¨ 4 x Lexus & BMW ¨ Reduce dealers n Who owns the cars? ¨ When n n is GM paid? Just like Tesla! Virtual Reality?
VR?
Cadillac, 1994 • • "Research shows we lose 10% to 11% because the car's not available, “ cars will take about a day to arrive at a dealership. Delivery handled by the lot, funded by Florida dealers as well as GM. Earl Fields, a Cadillac dealer in Lake Wales, expects to cover the extra cost by having less inventory on his lot, 25 cars as opposed to 60. • In the long run, he says, "It could mean smaller dealerships. " • GM expects dealership inventories to decline by about 25% at first and later by 50%. • Mr. Fields also owns Buick and Oldsmobile dealerships and says those GM divisions are seriously considering similar tests. Cadillac officials acknowledge other GM divisions are watching the test.
Max Covering - 10
Max Covering 20
Maximum Covering Problem A facility can “cover” a customer if the customer is within X miles of the facility. n Try to find the best location, and minimum number of facilities to cover all demands. n Cover a table with plates. n Math also very hard. n
Comparison of Results Demand Covered (Using Distances of 150, 200, 250) Number of Facilities
Solving large problems
Incremental or clean-slate apprach Take into account existing facilities n What is the best location to add, given the existing facilities? n What is the best to add, if we were to close down one of the current facilities? n Unfortunately, only P-Median or Maximum Covering can deal with these. n
Possible Approach n Break country into regions ¨ Center n of Gravity to find general area Use factor weighting to choose city. ¨ Transportation, n labor, facility costs from 3 PL Finalize facility ¨ Available real estate
Break-Even Analysis n n n Determine fixed and variable costs for each location Fixed cost: how much it would cost to open a facility there Variable cost: how much total costs would increase as production increases: ¨ Transportation costs ¨ Labor costs ¨ Taxes ¨ Increased construction n costs Hey – this sounds familiar!
Locating Service Facilities Using Linear Regression n Collect data about your current facilities n Use regression to determine which variables have a significant impact on profits n Choose new facilities which have these characteristics
Method Comparison Center of gravity minimizes average distance for one facility only. n Ardalan Minimizes weighted distances for more than one facility. n Breakeven: fixed & variable costs. n Factor weighting considers many other important aspects of location, but does not minimize distance. n
Transportation Method You have 3 DCs, and need to deliver product to 4 customers. D 2 A 10 E 4 B 10 C 10 F 12 G 11 Find cheapest way to satisfy all demand
Solving Transportation Problems n n n Trial and Error Linear Programming – ooh, what’s that? ! Tell me more! D E F G A 10 9 8 7 B 10 11 4 5 C 8 7 4 8
Summary Center of Gravity n Factor Rating n
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