Lecture 4 Location Planning and Analysis Chapter 8 1 Need for Location Decisions Cost of Doing Business Growth Depletion of Resources Marketing Strategy 2 Site Selection at Staples Inc. http://www.computerworld.com/databasetopics/businessintelligence/story/0,10801,104656,00.html Staples plans to open 95 new stores this year after considering as many as 5,000 sites. Mistakes are costly -- closing a failed store can set the Framingham, Mass.-based company back $500,000 to $1 million. The office supply retailer uses GIS tools from Tactician Corp. in Andover, Mass., combined with analytic tools from SAS Institute Inc. in Cary, N.C., to help it select store sites. The process all begins with a real estate model that forecasts weekly sales or potential sales by ZIP code. The forecasts drive activities such as site selection, budgeting, labor scheduling and marketing programs such as direct-mail campaigns, says Alan Gordon, director of sales forecasting at Staples, which now has GIS tools in a half-dozen departments. The model considers some 30 factors that affect site selection, including obvious ones such as the presence of competitors and the demographics of the local population. "And there are things we put into our model that other people haven't learned of yet," Gordon says. He says Staples hones its site-selection acumen by using SAS routines to correct and enhance the geographic data that it buys from external parties. "The more we work in this area, the more we find problems and correct them," Gordon says. "We have explicitly tried to make that a competitive advantage." For example, Gordon says, commercial databases of driving times between locations allow users to vary speeds by road type, but the databases don't take into account actual local traffic densities. Staples has written software that incorporates local conditions, so it knows how long it takes to drive from one ZIP code to another location through intervening ZIP codes of varying traffic density. GIS and BI tool vendors are collaborating to integrate their products, so users don't have to. But the Tactician and SAS tools aren't yet integrated, and Staples passes files back and forth between the two companies' tools via FTP. But Gordon says Staples is building its own interface to allow both SAS and Tactician to access common DB2 or Oracle tables. 3 Nature of Location Decisions Strategic Importance Objectives Long term commitment/costs Impact on investments, revenues, and operations Supply chains Profit potential Minimize travel distance/cost/time No single location may be better than others Identify several locations from which to choose Options Expand existing facilities Add new facilities Move 4 Making Location Decisions Decide on the objective Identify the important factors Develop location alternatives Evaluate the alternatives Make selection 5 Regional Factors Proximity to raw materials Proximity to customers Location of markets Labor factors - cost, availability, skill, productivity Taxes at the federal, state, county, and local levels Construction costs and land price Government and political stability Regional competition Insurance 6 Community Considerations & Site Related Factors Demographics Services - schools, hospitals, recreation, etc. Environmental regulations Utilities Transportation system Geographic Information System (GIS) technology 7 Global Location Decisions Country Decision Critical Success Factors 1. Political risks, government rules, attitudes, incentives 2. Cultural and economic issues 3. Location of markets 4. Labor availability, attitudes, productivity, costs 5. Availability of supplies, communications, energy 6. Exchange rates and currency risks 8 Comparison of Service and Manufacturing Considerations Table 8.2 Manufacturing/Distribution Service/Retail Cost Focus Revenue focus Transportation modes/costs Demographics: age,income,etc Energy availability, costs Population/drawing area Labor cost/availability/skills Competition Building/leasing costs Traffic volume/patterns Customer access/parking 9 Locations of Industry Industry Locations Reason for clustering Wine makers Napa Valley (US) Bordeaux region (France) Natural resources of land and climate Software firms Silicon Valley, Boston, Bangalore (India) Talent resources of bright graduates in scientific/technical areas, venture capitalists nearby Race car builders Huntington/North Hampton region (England) Critical mass of talent and information 10 Locations of Industry – Contd. Industry Locations Reason for clustering Theme parks Orlando A hot spot for entertainment, warm weather, tourists, and inexpensive labor Electronic firms Northern Mexico NAFTA, duty free export to US Computer hardware manufacturers Singapore, Taiwan High technological penetration rate and per capita GDP, skilled/educated workforce with large pool of engineers Fast food chains Sites within one mile of each other Stimulate food sales, high traffic flows General aviation aircraft Wichita, Kansas Mass of aviation skills 11 Evaluating Locations Cost-Profit-Volume Analysis Determine fixed and variable costs Plot total costs Determine lowest total costs 12 Cost-Volume & Locational Break-Even Analysis Three locations: Fixed Variable City Cost Cost Akron $30,000 $75 Bowling Green $60,000 $45 Chicago $110,000 $25 Selling price = $120 Expected volume = 2,000 units Total Cost $180,000 $150,000 $160,000 Total Cost = Fixed Cost + Variable Cost x Volume 13 Locational Break-Even Analysis Annual cost Graph of Break-Even Points – $180,000 – – $160,000 – $150,000 – – $130,000 – – $110,000 – – – $80,000 – – $60,000 – – – $30,000 – – $10,000 – | – 0 Akron lowest cost Chicago lowest cost Bowling Green lowest cost | | | | | | 500 1,000 1,500 2,000 2,500 3,000 Volume 14 Evaluating Locations Factor Rating Center of Gravity Method Decision based on quantitative and qualitative inputs Decision based on minimum distribution costs Transportation Model Decision based on movement costs of raw materials or finished goods 15 Factor-Rating Method Popular because a wide variety of factors can be included in the analysis Six steps in the method 1. Develop a list of relevant factors called critical success factors 2. Assign a weight to each factor 3. Develop a scale for each factor 4. Score each location for each factor 5. Multiply score by weights for each factor for each location 6. Recommend the location with the highest point score 16 Factor-Rating Example Critical Success Factor Labor availability and attitude People-to car ratio Per capita income Tax structure Education and health Totals Scores (out of 100) Weight France Denmark Weighted Scores France Denmark .25 70 60 .05 50 60 .10 .39 85 75 80 70 (.10)(85) = 8.5 (.10)(80) = 8.0 (.39)(75) = 29.3 (.39)(70) = 27.3 .21 60 70 (.21)(60) = 12.6 (.21)(70) = 14.7 1.00 (.25)(70) = 17.5 (.25)(60) = 15.0 (.05)(50) = 2.5 70.4 (.05)(60) = 3.0 68.0 17 Center of Gravity: An Example Determine the center of gravity for the destinations shown on the following map. Monthly shipments will be the quantities listed in the table. DC # Coordinate Weekly Shipment Qty DC1 (2,2) 800 DC2 (3,5) 900 DC3 (5,4) 200 DC4 (8,5) 100 xQ x Q i i i i i DC4 DC2 DC3 DC1 yQ y Q i i i i i 18 Transportation Problem Chapter 8S Objective: determination of a transportation plan of a single commodity from a number of sources to a number of destinations, such that total cost of transportation is minimized Sources may be plants, destinations may be warehouses Question: how many units to transport from source i to destination j such that supply and demand constraints are met, and total transportation cost is minimized 19 A Transportation Table Table 8S.1 1 Factory Warehouse 3 2 4 4 7 7 1 100 1 3 12 8 8 200 2 10 8 16 Factory 1 can supply 100 units per period 5 150 3 450 Demand 80 90 120 160 450 Warehouse B’s demand is 90 units per period Total supply capacity per period Total demand per period 20 Solution in Management Scientist Total transportation cost = 4(80) + 7(0) + 7(10)+ 1(10) + 12(0) + 3(90) + 8(110) + 8(0) + 8(0) +10(0) + 16(0) +5 (150) = $2300 21 Transportation Model – Tool for Site Location: An Example A large tire manufacturer is contemplating construction of a new manufacturing facility. Two leading candidate location: Cincinnati and Columbus, OH The new facility would have a supply capacity of 160 units a week Transportation costs Between each candidate location and existing locations (A, B, C), and between pairs of existing locations A B C Supply per week 1 10 14 10 210 $7 2 12 17 20 140 B 17 3 11 11 12 150 C 13 Demand per week 220 220 220 From Columbus to Cost per unit A $18 A B 8 C 13 From Cost Cincinnati per to unit Choose the best candidate location. 22 Set up transportation table for Columbus 23 Set up transportation table for Cincinnati Choose Columbus 24 Lecture 4 Project Management Chapter 17 25 Project Management How is it different? Limited time frame Narrow focus, specific objectives Why is it used? Special needs Pressures for new or improves products or services Definition of a project Unique, one-time sequence of activities designed to accomplish a specific set of objectives in a limited time frame 26 Project Management What are the Key Metrics Time Cost Performance objectives What are the Key Success Factors? Top-down commitment Having a capable project manager Having time to plan Careful tracking and control Good communications 27 Project Management What are the tools? Work breakdown structure Network diagram Gantt charts 28 Project Manager Responsible for: Work Human Resources Communications Quality Time Costs 29 Key Decisions Deciding which projects to implement Selecting a project manager Selecting a project team Planning and designing the project Managing and controlling project resources Deciding if and when a project should be terminated 30 Ethical Issues Temptation to understate costs Withhold information Misleading status reports Falsifying records Compromising workers’ safety Approving substandard work http://www.pmi.org/ 31 PERT and CPM PERT: Program Evaluation and Review Technique CPM: Critical Path Method Graphically displays project activities Estimates how long the project will take Indicates most critical activities Show where delays will not affect project PERT and CPM have been used to plan, schedule, and control a wide variety of projects: R&D of new products and processes Construction of buildings and highways Maintenance of large and complex equipment Design and installation of new systems 32 PERT/CPM PERT/CPM used to plan the scheduling of individual activities that make up a project. Projects may have as many as several thousand activities. Complicating factor in carrying out the activities some activities depend on the completion of other activities before they can be started. 33 PERT/CPM Project managers rely on PERT/CPM to help them answer questions such as: What is the total time to complete the project? What are the scheduled start and finish dates for each specific activity? Which activities are critical? must be completed exactly as scheduled to keep the project on schedule? How long can non-critical activities be delayed before they cause an increase in the project completion time? 34 Planning and Scheduling Activity 0 2 4 6 8 10 12 14 16 18 Locate new facilities Interview staff Hire and train staff Select and order furniture Remodel and install phones Furniture setup Move in/startup 35 20 Project Network Project network constructed to model the precedence of the activities. Nodes represent activities Arcs represent precedence relationships of the activities Critical path for the network a path consisting of activities with zero slack 36 Project Network – An Example 8 weeks Locate facilities A 6 weeks Order furniture B F 11 weeks Remodel E S 4 weeks Interview C 3 weeks Furniture setup G Move in 1 week 9 weeks Hire and train D 37 Management Scientist Solution Critical Path Path Length Slack (weeks) A-B-F-G A-E-G C-D-G 18 20 14 2 0 6 38 Uncertain Activity Times Three-time estimate approach the time to complete an activity assumed to follow a Beta distribution An activity’s mean completion time is: t = (a + 4m + b)/6 a = the optimistic completion time estimate b = the pessimistic completion time estimate m = the most likely completion time estimate An activity’s completion time variance is 2 = ((b-a)/6)2 39 Uncertain Activity Times In the three-time estimate approach, the critical path is determined as if the mean times for the activities were fixed times. The overall project completion time is assumed to have a normal distribution with mean equal to the sum of the means along the critical path, and variance equal to the sum of the variances along the critical path. 40 Example Immediate Activity Predecessor Optimistic Time (a) Most Likely Time (m) Pessimistic Time (b) A -- 4 6 8 B -- 1 4.5 5 C A 3 3 3 D A 4 5 6 E A 0.5 1 1.5 F B,C 3 4 5 G B,C 1 1.5 5 H E,F 5 6 7 I E,F 2 5 8 J D,H 2.5 2.75 4.5 K G,I 3 5 7 41 Management Scientist Solution 42 Key Terminology Network activities ES: early start EF: early finish LS: late start LF: late finish Used to determine Expected project duration Slack time Critical path 43 The Network Diagram (cont’d) Path Critical path The longest path; determines expected project duration Critical activities Sequence of activities that leads from the starting node to the finishing node AON path: S-1-2-6-7 Activities on the critical path Slack Allowable slippage for path; the difference the length of path and the length of critical path 44 Advantages of PERT Forces managers to organize Provides graphic display of activities Identifies Critical activities Slack activities 4 2 1 5 6 3 45 Limitations of PERT Important activities may be omitted Precedence relationships may not be correct Estimates may include a fudge factor May focus solely on critical path 46