Welcome Unit 6 Seminar MM305 Wednesday 8:00 PM ET Quantitative Analysis for Management Delfina Isaac Characteristics of Network Models A node is a specific location An arc connects 2 nodes Arcs can be 1-way or 2-way Network Models with QM for Windows Appendix 6.1 Minimal-spanning tree technique cost or distance Go to module -> networks -> file -> new -> Minimum spanning tree Maximal flow technique flow and reverse flow capacity. Go to module-> networks -> file-> new-> Maximal flow Shortest-route technique distance associated with each branch. Go to module-> networks, file-> new-> Shortest route Network Models with QM for Windows Appendix 6.1 In order to use QM for Windows to solve network problems, the network must be drawn and labeled Data about this network is input to QM Branches (arcs) are identified by the starting and ending nodes for each leg of the network The following information must also be input: Minimal-spanning tree technique cost or distance Maximal flow technique flow and reverse flow capacity Shortest-route technique distance associated with each branch Steps for Solving Minimal Spanning Tree 1.Selecting any node in the network. 2.Connect this node to the nearest node minimizing the total distance. 3. Find and connect the nearest unconnected node. If there is a tie for the nearest node, one can be selected arbitrarily. A tie suggests that there may be more than one optimal solution. 4.Repeat the third step until all nodes are connected. Decision: Which arcs to choose to connect all nodes? Objective: Minimize the total distance of the arcs chosen Minimal-Spanning Tree Technique Network for Lauderdale Construction (Figure 6.2) 1st Iteration Minimal-Spanning Tree Technique Network for Lauderdale Construction (Figure 6.3) 2nd and 3rd Iterations Minimal-Spanning Tree Technique Network for Lauderdale Construction (Figure 6.4) 4th and 5th Iterations Minimal-Spanning Tree Technique Network for Lauderdale Construction (Figure 6.5) 6th and 7 th (Final) Iterations Minimal-Spanning Tree Technique Network for Lauderdale Construction Steps for the Maximal-Flow Technique 1. Pick any path from the start (source) to the finish (sink) with some flow. If no path with flow exists, then the optimal solution has been found. 2. Find the arc on this path with the smallest flow capacity available. Call this capacity C. This represents the maximum additional capacity that can be allocated to this route. 3. For each node on this path, decrease the flow capacity in the direction of flow by the amount C. For each node on this path, increase the flow capacity in the reverse direction by the amount C. 4. Repeat these steps until an increase in flow is no longer possible. Decision: How much flow on each arc? Objective: Maximize flow through the network from an origin to a destination Maximal-Flow Technique Road Network for Waukesha (Figure 6.6) Maximal-Flow Technique Road Network for Waukesha (Figure 6.7) Capacity Adjustment for path 126 1 st iteration Maximal-Flow Technique Road Network for Waukesha (Figure 6.7) New Path Maximal-Flow Technique Road Network for Waukesha Repeat the Process Maximal-Flow Technique Road Network for Waukesha (Figure 6.8) Capacity adjustment for path 124-6 iteration 2 Maximal-Flow Technique Road Network for Waukesha (Figure 6.8) New Network Maximal-Flow Technique Road Network for Waukesha (Figure 6.9) 3rd Iteration Maximal-Flow Technique Road Network for Waukesha (Figure 6.9) 4 th and Final Iteration Maximal-Flow Technique Road Network for Waukesha (Figure 6.9) There are no more paths from nodes 1 to 6 with unused capacity so this represents a final iteration The maximum flow through this network is 500 cars PATHFLOW (CARS PER HOUR) 126126200 12461246100 13561356200 Total500 Final Network Flow Maximal-Flow Technique Road Network for Waukesha Steps of the Shortest-Route Technique 1.Find the nearest node to the origin (plant). 2.Find the next-nearest node to the origin and put the distance in a box by the node. Several paths may have to be checked to find the nearest node. 3.Repeat this process until you have gone through the entire network. Decision: Which arcs to travel on? Objective: Minimize the distance (or time) from the origin to the destination Shortest-Route Technique: Figure 6.10 Roads from Rays Plant to Warehouse Shortest-Route Technique: Figure 6.11 Rays Design 1 st Iteration Shortest-Route Technique: Figure 6.12 Rays Design 2nd Iteration Shortest-Route Technique: Figure 6.13 Rays Design 3rd Iteration Shortest-Route Technique: Figure 6.14 Rays Design 4 th and Final Iteration Shortest-Route Technique Roads from Rays Plant to Warehouse