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1、Chapter 7 - Network Flow Models,1,Chapter 7 Network Flow Models,Introduction to Management Science 8th Edition by Bernard W. Taylor III,Chapter 7 - Network Flow Models,2,Chapter Topics,The Minimum Cost Network Flow Problem The Shortest Route Problem The Minimal Spanning Tree Problem The Maximal Flow

2、 Problem,Chapter 7 - Network Flow Models,3,Overview,A network is an arrangement of paths connected at various points through which one or more items move from one point to another. The network is drawn as a diagram providing a picture of the system thus enabling visual interpretation and enhanced un

3、derstanding. A large number of real-life systems can be modeled as networks which are relatively easy to conceive and construct.,Chapter 7 - Network Flow Models,4,Network diagrams consist of nodes and branches. Nodes (circles), represent junction points, or locations. Branches (lines, Arcs), connect

4、 nodes and represent flow. Paths, a set of branches connecting two nodes,Network Components (1 of 3),Chapter 7 - Network Flow Models,5,Figure 7.1 Network of Railroad Routes,Four nodes, four branches in figure. “Atlanta”, node 1, termed origin, any of others destination. Branches identified by beginn

5、ing and ending node numbers. Value assigned to each branch (distance, time, cost, etc.).,Network Components (2 of 3),Chapter 7 - Network Flow Models,6,Network Concepts (3/3),Flow: the quantity routing through a branch Capacity: the max flow on a branch per unit time Source node (Origin node) Destina

6、tion node (Sink node) Supply node: flow in flow out Transshipment node: flow in = flow out,Chapter 7 - Network Flow Models,7,Problem: Determine the shortest routes from the origin to all destinations.,Figure 7.2 Shipping Routes from Los Angeles,The Shortest Route Problem Definition and Example Probl

7、em Data (1 of 2),Chapter 7 - Network Flow Models,8,Figure 7.3 Network of Shipping Routes,The Shortest Route Problem Definition and Example Problem Data (2 of 2),Chapter 7 - Network Flow Models,9,Figure 7.4 Network with Node 1 in the Permanent Set,The Shortest Route Problem Solution Approach (1 of 8)

8、,Determine the initial shortest route from the origin (node 1) to the closest node (3).,Chapter 7 - Network Flow Models,10,Figure 7.5 Network with Nodes 1 and 3 in the Permanent Set,The Shortest Route Problem Solution Approach (2 of 8),Determine all nodes directly connected to the permanent set.,Cha

9、pter 7 - Network Flow Models,11,Figure 7.6 Network with Nodes 1, 2, and 3 in the Permanent Set,Redefine the permanent set.,The Shortest Route Problem Solution Approach (3 of 8),Chapter 7 - Network Flow Models,12,Figure 7.7 Network with Nodes 1, 2, 3, and 4 in the Permanent Set,The Shortest Route Pro

10、blem Solution Approach (4 of 8),Continue,Chapter 7 - Network Flow Models,13,The Shortest Route Problem Solution Approach (5 of 8),Figure 7.8 Network with Nodes 1, 2, 3, 4, and 6 in the Permanent Set,Continue,Chapter 7 - Network Flow Models,14,The Shortest Route Problem Solution Approach (6 of 8),Fig

11、ure 7.9 Network with Nodes 1, 2, 3, 4, 5, and 6 in the Permanent Set,Continue,Chapter 7 - Network Flow Models,15,The Shortest Route Problem Solution Approach (7 of 8),Figure 7.10 Network with Optimal Routes from Los Angeles to All Destinations,Optimal Solution,Chapter 7 - Network Flow Models,16,Tabl

12、e 7.1 Shortest Travel Time from Origin to Each Destination,The Shortest Route Problem Solution Approach (8 of 8),Solution Summary,Chapter 7 - Network Flow Models,17,The Shortest Route Problem Solution Method Summary,Select the node with the shortest direct route from the origin. Establish a permanen

13、t set with the origin node and the node that was selected in step 1. Determine all nodes directly connected to the permanent set nodes. Select the node with the shortest route (branch) from the group of nodes directly connected to the permanent set nodes. Repeat steps 3 and 4 until all nodes have jo

14、ined the permanent set.,Chapter 7 - Network Flow Models,18,The Shortest Route Problem Computer Solution with QM for Windows (1 of 2),Exhibit 7.1,Chapter 7 - Network Flow Models,19,The Shortest Route Problem Computer Solution with QM for Windows (2 of 2),Exhibit 7.2,Chapter 7 - Network Flow Models,20

15、,Formulation as a 0 - 1 integer linear programming problem. xij = 0 if branch i-j is not selected as part of the shortest route and 1 if it is selected. Minimize Z = 16x12 + 9x13 + 35x14 + 12x24 + 25x25 + 15x34 + 22x36 + 14x45 + 17x46 + 19x47 + 8x57 + 14x67 subject to: x12 + x13 + x14= 1 x12 - x24 -

16、 x25 = 0 x13 - x34 - x36 = 0 x14 + x24 + x34 - x45 - x46 - x47 = 0 x25 + x45 - x57 = 0 x36 + x46 - x67 = 0 x47 + x57 + x67 = 1 xij = 0 or 1,The Shortest Route Problem Computer Solution with Excel (1 of 4),Chapter 7 - Network Flow Models,21,Exhibit 7.3,The Shortest Route Problem Computer Solution wit

17、h Excel (2 of 4),Chapter 7 - Network Flow Models,22,Exhibit 7.4,The Shortest Route Problem Computer Solution with Excel (3 of 4),Chapter 7 - Network Flow Models,23,Exhibit 7.5,The Shortest Route Problem Computer Solution with Excel (4 of 4),Chapter 7 - Network Flow Models,24,Figure 7.11 Network of P

18、ossible Cable TV Paths,The Minimal Spanning Tree Problem Definition and Example Problem Data,Problem: Connect all nodes in a network so that the total branch lengths are minimized.,Chapter 7 - Network Flow Models,25,The Minimal Spanning Tree Problem Solution Approach (1 of 6),Figure 7.12 Spanning Tr

19、ee with Nodes 1 and 3,Start with any node in the network and select the closest node to join the spanning tree.,Chapter 7 - Network Flow Models,26,The Minimal Spanning Tree Problem Solution Approach (2 of 6),Figure 7.13 Spanning Tree with Nodes 1, 3, and 4,Select the closest node not presently in th

20、e spanning area.,Chapter 7 - Network Flow Models,27,The Minimal Spanning Tree Problem Solution Approach (3 of 6),Figure 7.14 Spanning Tree with Nodes 1, 2, 3, and 4,Continue,Chapter 7 - Network Flow Models,28,The Minimal Spanning Tree Problem Solution Approach (4 of 6),Figure 7.15 Spanning Tree with

21、 Nodes 1, 2, 3, 4, and 5,Continue,Chapter 7 - Network Flow Models,29,The Minimal Spanning Tree Problem Solution Approach (5 of 6),Figure 7.16 Spanning Tree with Nodes 1, 2, 3, 4, 5, and 7,Continue,Chapter 7 - Network Flow Models,30,The Minimal Spanning Tree Problem Solution Approach (6 of 6),Figure

22、7.17 Minimal Spanning Tree for Cable TV Network,Optimal Solution,Chapter 7 - Network Flow Models,31,The Minimal Spanning Tree Problem Solution Method Summary,Select any starting node (conventionally, node 1). Select the node closest to the starting node to join the spanning tree. Select the closest

23、node not presently in the spanning tree. Repeat step 3 until all nodes have joined the spanning tree.,Chapter 7 - Network Flow Models,32,The Minimal Spanning Tree Problem Computer Solution with QM for Windows,Exhibit 7.6,Chapter 7 - Network Flow Models,33,Figure 7.18 Network of Railway System,The Ma

24、ximal Flow Problem Definition and Example Problem Data,Problem: Maximize the amount of flow of items from an origin to a destination.,Chapter 7 - Network Flow Models,34,Figure 7.19 Maximal Flow for Path 1-2-5-6,The Maximal Flow Problem Solution Approach (1 of 5),Arbitrarily choose any path through t

25、he network from origin to destination and ship as much as possible.,Chapter 7 - Network Flow Models,35,Figure 7.20 Maximal Flow for Path 1-4-6,The Maximal Flow Problem Solution Approach (2 of 5),Re-compute branch flow in both directions and then select other feasible paths arbitrarily and determine

26、maximum flow along the paths until flow is no longer possible.,Chapter 7 - Network Flow Models,36,Figure 7.21 Maximal Flow for Path 1-3-6,The Maximal Flow Problem Solution Approach (3 of 5),Continue,Chapter 7 - Network Flow Models,37,Figure 7.22 Maximal Flow for Path 1-3-4-6,The Maximal Flow Problem

27、 Solution Approach (4 of 5),Continue,Chapter 7 - Network Flow Models,38,Figure 7.23 Maximal Flow for Railway Network,The Maximal Flow Problem Solution Approach (5 of 5),Optimal Solution,Chapter 7 - Network Flow Models,39,The Maximal Flow Problem Solution Method Summary,Arbitrarily select any path in

28、 the network from origin to destination. Adjust the capacities at each node by subtracting the maximal flow for the path selected in step 1. Add the maximal flow along the path to the flow in the opposite direction at each node. Repeat steps 1, 2, and 3 until there are no more paths with available f

29、low capacity.,Chapter 7 - Network Flow Models,40,The Maximal Flow Problem Computer Solution with QM for Windows,Exhibit 7.7,Chapter 7 - Network Flow Models,41,iij = flow along branch i-j and integer Maximize Z = x61 subject to: x61 - x12 - x13 - x14 = 0 x12 - x24 - x25 = 0 x12 - x34 - x36 = 0 x14 +

30、x24 + x25 - x46 = 0 x25 - x56 = 0 x36 + x46 + x56 - x61 = 0 x12 6 x24 3 x34 2 x13 7 x25 8 x36 6 x14 4 x46 5x56 4 x61 17 xij 0,The Maximal Flow Problem Computer Solution with Excel (1 of 4),Chapter 7 - Network Flow Models,42,The Maximal Flow Problem Computer Solution with Excel (2 of 4),Exhibit 7.8,C

31、hapter 7 - Network Flow Models,43,The Maximal Flow Problem Computer Solution with Excel (3 of 4),Exhibit 7.9,Chapter 7 - Network Flow Models,44,The Maximal Flow Problem Computer Solution with Excel (4 of 4),Exhibit 7.10,Chapter 7 - Network Flow Models,45,The Maximal Flow Problem Example Problem Statement and Data (1 of 2),Determine the shortest route from Atlanta (node 1) to each of the other five nodes (branches show travel time between nodes). Assume branches show distance (instead of t

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