Download presentation

Presentation is loading. Please wait.

Published byJoel Tyrone Wilkins Modified about 1 year ago

1
Basic Optimization Training LLamasoft, Inc October 2008

2
Optimization Course Overview Course Goal: Understand the basics of supply chain optimization through lecture, computer exercises, and coaching Course Objective: Students will be able to use the software, with minimal assistance, to correctly build a supply chain model; add the basic components of optimization to the model; perform an optimization; interpret the results through outputs; and perform an infeasibility analysis.

3
Agenda Overview of Model Components Optimization Basic Components –Structure –Cost –Constraints Infeasibility Analysis Optimization Results Review

4
Model and Optimization Overview

5
Model Elements

6
Understanding Optimization Evaluate millions of alternatives, find the global optimal structure: lowest cost structure that meets the constraints Determine the optimal supply chain network structure using MIP/LP programming What is the optimal network structure? Thousands of possibilities… …One Optimal Answer!

7
Optimization Basic Component 1 Structure

8
Learning Objective- Structure Explain the basic components to modeling in the software Use the components to create a supply chain network Perform a network optimization Goal: Successfully design a new optimal supply chain network using the software

9
Example Network Design- Sites FW1 FW2 FW3 FW4 FW5 P1 P2 P3 PW1 PW2 PW3 S1 S2 CZ1 CZ5 CZ6 CZ2 CZ3 CZ4

10
Structure 6 Essential Elements in Models –Sites –Products –Demand –Sourcing Policies –Transportation Policies –Inventory Policies

11
Exercise 1: Network Optimization

12
Model Folder Go to Computer and Create Folder: C://Llamasoft/Training/Optimization

13
Open Supply Chain Guru Start

14
Add a New Model Go to File Add A New Model

15
Saving Models and Projects Save Model in Training Folder: C://Llamasoft/Training/Optimization Save Model As: Opt_Training_Basic Save Project As: Guru_Training

16
Site Types Existing Facility –Indicates this site presently exists in the supply chain Potential Facility –Indicates this site presently does not exist in the supply chain Customer Site –Only customer sites can have demand –Customer sites have sourcing policies but NO inventory policies –They do not ship to other sites or produce any products –Flow into customer sites = $$$ (revenue!) Type, and Choice combine to determine which costs to apply –Open Potential Facility = Add Startup Cost –Closing Existing Facility = Add Closing Cost –Always incur Fixed Operating Costs if flow exists

17
Creating the Opt_Training_Basic Model 4 Sites MFGMFG DC 1 CZCZ DC 2 SP TP SP IP Product A Product B 2 Products

18
Opt_Training_Basic Model: Sites Name Location (Address, City, State, Country, Postal Code, Latitude, Longitude) Capacity Period, Capacity Basis Fixed Startup Cost/Cap, Fixed Operating Cost/Cap Closing CostCZCZ DC 1 MFGMFG DC 2

19
Opt_Training_Basic Model: Add Customer Site Add Customer Site –Name: CZ –City: New York –State: New York –Type: Customer –Graphic: Circle –Graphic Color: Green –Leave all other fields default Open the Sites Table

20
Opt_Training_Basic Model: Add DCs Add Distribution Center 1: –Name: DC_1 –City: Omaha –State: Nebraska –Type: Existing Facility –Graphic: Triangle –Graphic Color: Yellow Add Distribution Center 2: –Name: DC_2 –City: Austin –State: Texas –Type: Existing Facility –Graphic: Triangle –Graphic Color: Yellow

21
Opt_Training_Basic Model: Add Manufacturer Add Manufacturer: –Name: MFG –City: Los Angeles –State: California –Type: Existing Facility –Graphic: Square –Graphic Color: Red

22
Opt_Training_Basic Model: Column Update Place cursor in the Graphic Size Field Right Click or Select the Column Update Button on the toolbar Select 10 from the drop down menu and apply the update

23
Opt_Training_Basic Model: Layout Map Display the Sites on the Layout Map

24
Opt_Training_Basic Model: Products Name/ SKU Inventory Valuation Price Weight, Cubic Status Product A Product B

25
Opt_Training_Basic Model: Add Products Open the Products Table Add (2) Product Records Product_B –Value: 10 –Price: 20 –Weight: 10 –Cubic: 10 –Status: Include Product_A –Value: 5 –Price: 10 –Weight: 5 –Cubic: 5 –Status: Include

26
Opt_Training_Basic Model: Demand Customer Site Product Quantity Occurrences Time Between Orders Due Date Price

27
Opt_Training_Basic Model: Add Demand Record 2 –Customer Site: CZ –Product Name: Product_B –Quantity: 100 –Order Time: 0 Open the Demand Table Add (2) Demand Records Record 1 –Customer Site: CZ –Product Name: Product_A –Quantity: 100 –Order Time: 0

28
Shipments Vs. Demand Shipments are typically modeled through the Transportation Policies table Shipments table allows you to model shipments outside of the Transportation Policies table There are no cost fields in the Shipments data table- the costs in the Transportation Policies table are used to calculate the transportation costs Allows for accurate modeling of a “Push” system, instead of a demand driven supply chain

29
Opt_Training_Basic Model: Sourcing Policy Identifies which sites to send replenishment and customer orders, and whether product is ordered from an outside source or made at that site MFGMFG DC 1 CZCZ DC 2 Product_A, Product_B

30
Types of Sourcing Policies Single Source Single Source (Select Closest) Multiple Sources (Most Inventory) Multiple Sources (Order of Preference) Multiple Sources (Probability) Source by Transfer Make Make by Schedule Make (Single Process) Make (Order of Preference) Make (Probability) Hint: Use the Quick Reference Card for descriptions of these policies!

31
Opt_Training_Basic Model: Adding Sourcing Policies Open the Sourcing Policies Table Add a total of (10) Sourcing Policies –4 Multiple Sources (Most Inventory) CZ can source Product_A from DC_1 and DC_2 CZ can source Product_B from DC_1 and DC_2 –4 Single Source Each DC can only source from the MFG for Both Products –2 Make 1 for each product at the Manufacturer

32
Opt_Training_Basic Model: Layout Map Display the Sourcing Policies on the Map

33
Opt_Training_Basic Model: Transportation Policy There must be at least one Transportation Policy that applies to source and destination which is not “Make” Each Transportation Policy defines a “Flow” –Source Site –Destination Site –Product (all applicable products if not explicitly entered) –Mode (1 if not explicitly entered) MFGMFG DC 1 CZCZ DC 2

34
Types of Transportation Policies Parcel LTL (Less than Truckload) Full TL (Full Truckload) Air, Rail and Ship Daily or Weekly Shipment Periodic Shipment Pooled Outbound/ Pooled Inbound Pooled Periodic Outbound/ Pooled Periodic Inbound Flow (Optimization Only) Link To Lane Aggregate Container Disaggregate Container

35
Opt_Training_Basic Model: Add Transportation Policies Add (4) Transportation Policies One for each Source-Destination combination defined in the Sourcing Policies -Source Sites: MFG, DC_1, DC_2 -Destination Sites: DC_1, DC_2, CZ -Leave all other fields at default value Open the Transportation Policies Table

36
Opt_Training_Basic Model: Inventory Policy Defines –Initial Inventory Levels –Safety/ Cycle Stock Levels –Associated Costs One Inventory Policy is optional for each product at the facility sites DC 1 DC 2 MFGMFG Product_AProduct_B Product_AProduct_BProduct_AProduct_B

37
Opt_Training_Basic Model: Add Inventory Policies Add (6) Inventory Policies –One for each Facility (non-Customer Site) and Product combination Sites: MFG, DC_1, DC_2 Product Name: Product_A, Product_B Leave all other fields at default value Open the Inventory Policies Table

38
Opt_Training_Basic Model: Add Costs Open the Sourcing Policies Table Add a sourcing cost to one lane (2 policies) –Use the filter bar to view only DC_1 –Update the Average Unit Cost to 1 and clear the filter How do you think this will affect the optimization results?

39
Opt_Training_Basic Model: Model Options Go to Tools Model Options (F3) Review Optimization Period –Start Date / Time –End Date / Time

40
Opt_Training_Basic Model: Run the Optimization Optimize the Supply Chain Save the Project and the Model

41
Opt_Training_Basic Model: Optimization Solver View Optimization Results –Optimization Output Tables –Metrics –Graphs –Auto Implement Optimized Network

42
Check on Learning- Structure You should be able to: –Open Supply Chain Guru TM –Add a new model –Save a project –Save a model –Open a table –Understand differences between sites and customers –Use the filter bar –Move from field to field –Open the layout map –Change settings on the layout map –View sites and policies on the layout map –Understand the types of Sourcing policies –Understand the types of Transportation Policies –Understand when to use shipments vs demand –Understand the types of Inventory Policies –Enter data into tables –Access the help system –Set Optimization Options –Run a simple optimization –Run the error check on a model –Access Optimization Outputs

43
Optimization Basic Component 2 Costs

44
Learning Objective- Cost Distinguish between the different costs used in Supply Chain Optimization with the software Apply costs to the network built in Exercise 1 Goal: Successfully optimize the network with the new costs included

45
Three Basic Components of Optimization Structure Costs Constraints

46
Basic Costs for Optimization Site Costs –Fixed operating –Fixed startup –Closing Transportation Costs –Average Cost –Duty Rate –Discount Rate –Return Trip Cost –Transportation Asset Costs Unit Fixed Cost Inventory Costs –Site inventory –In-transit inventory –Inbound and Outbound Warehousing Production Costs –Work Center Costs Fixed Operating Fixed Startup Closing –Work Resource Cost

47
Site Costs Basic Costs

48
Site Costs Fixed Operating Fixed Startup Closing

49
Site Costs: Fixed Operating Costs associated with the day to day operations of the facility Enable use of a step- function to associate the operating cost based upon operating capacity

50
Site Costs: Fixed Operating Facility is closed/not used if the throughput is zero. Facility is open at Level 1 if the throughput is between 0 and 5,000 pounds. Facility is open at level 2 if throughput greater than 5,000 pounds

51
Site Costs: Fixed Start-Up Costs to open and begin operating a new facility Only applies to Potential Facilities No thoughput constraints Ability to use step- function to associate start up cost with operating capacity

52
Site Costs: Closing Cost to end operations at an Existing Facility Does not apply to Potential Facilities or Customers

53
Exercise 2a: Add Site Costs

54
Exercise 2a: Create New Cost Model From the Project Explorer, right click on the Opt_Training_Basic Model Select Copy Model Right Click on the copied model Select Save Model As Save model as: Opt_Training_Cost

55
Exercise 2a: Add Fixed Operating Costs Open the Sites Table Enter the following Fixed Costs: DC_1 CapacityCost DC_2 CapacityCost Open the Field Guru

56
Exercise 2a: Complete Fixed Operating Costs Now run the optimization and view the results!

57
Transportation Costs Basic Costs

58
Transportation Costs: The Concept of “Flow” In Optimization, there are no individual shipments Instead it is the total amount shipped, as determined by the optimizer This total amount is the “Flow”. Site ASite B 10,000 Units

59
Transportation Cost “Average Unit Transportation Cost” –Average Cost –Cost Basis –Shipment Weight –Distance

60
Transportation Cost: Average Cost Related to Cost Basis Transportation Cost per Cost Basis Unit Associated Field Guru

61
Transportation Cost: Cost Basis Weight = Avg Cost * Weight of Flow Qty = Avg Cost * Number of Units of Flow Cubic = Avg Cost * Volume of Flow Distance = Cost per Mile Fixed = Fixed Cost per Shipment Weight-Distance = Cost per Pound per Mile Qty-Distance = Cost per Unit per Mile Cubic-Distance = Cost per Volume per Mile

62
Transportation Cost: Distance and Fixed Cost Basis In order to cost these correctly the optimizer needs to approximate the number of shipments made Site A Site B 10,000 Units Total Flow

63
Transportation Cost: Shipment Weight Since the optimizer only knows the flow (sum of all shipments), the only way to cost at the “shipment” level is to approximate the shipment size. If the flow is 10,000 pounds, and the average shipment weight is 1000 pounds that corresponds to 10 shipments.

64
Transportation Cost: Distance Calculate using Straight Line –Based on latitude and longitude of source and destination sites –Adds a circuity factor (17%- in Model Options) Calculate Using Mappoint Routing –Interfaces with Microsoft Mappoint to determine actual road distance –Must have Map Point installed on the same computer

65
Transportation Cost: Transportation Assets Total cost of owning or using each unit of this asset This is a fixed cost, not used to calculate profits or expenses in the network operation Included on the summary report, can be used to compare various scenarios

66
Transportation Cost: Other Costs Duty Discount Rate Return Trip Cost

67
Exercise 2b: Add Transportation Costs to Cost Model

68
Exercise 2b: Add Transportation Costs Copy Opt_Training_Cost Model Save as Opt_Training_Cost_Transpo Add the following costs: –MFG facility always costs 2.00 per unit shipped to any location –DC_1 costs per unit, per mile to ship to the customer –DC_2 costs per unit, per mile to ship to the customer

69
Exercise 2b: Results Now run the optimization and view results!

70
Inventory Costs Basic Costs

71
Inventory Costs Facility Inventory Holding In-transit Inventory Holding Inbound Warehousing Outbound Warehousing

72
Inventory Costs: Facility Inventory Holding Avg Inv = Average Inventory Product Value = Value in Products Table i = Annual inventory carrying cost % T = Optimization period in days Inv Holding Cost = Avg Inv * Product Value * (i/365) * T

73
Inventory Costs: Average Inventory Calculation Method of Calculation –Inventory Turns OR –Constituent Parts Safety Stock Inventory Cycle Stock Inventory Pre-Build Inventory

74
Facility Inventory Level Determination Factors which affect inventory levels –Volume/ Qty of product throughput (Tput) –Number of facilities in the network As the number of facilities decreases, the average inventory in the remaining facilities increases due to increased throughput, but at a decreasing rate. Total Facility Inventory

75
Average Inventory Calculation 1: Inventory Turns Ratio of inventory throughput to average inventory Increasing Inventory Turns reduces Facility Holding Costs Must balance turnover with safety stock to avoid stockout Also called Stock turns, turns, stock turnover

76
Inventory Turns: Linear Approximation Avg Inv = m * Tput m = Inverse of Inventory Turns Tput = Volume of Product Throughput Inv Turns = 8

77
Inventory Turns: Pooling Effect Piecewise linear approximation Used in locations with considerable amounts of product, typically called a distribution center Average Inventory can defined over multiple ranges of throughput. Format for the relationship is a series of pairs

78
Average Inventory Calculation 2: Constituent Parts Pre-build Safety Stock Cycle Stock

79
Constituent Parts: Pre-Build Inventory Results from demand exceeding production capability in one period, but excess production completed in the previous period Example –In a 2 period model MFG has a production capacity of 50 units –The demand is 20 and 80 units in Periods 1 and 2 respectively –The MFG site produces 50 units each period –In the first period the 30 excess units produced are stored as Pre-Build Inventory Viewed in the Optimization Output- Inventory Table

80
Constituent Parts: Safety Stock Held excess product Also called a buffer The model may tap into the safety stock when necessary

81
Constituent Parts: Cycle Stock Portion of inventory allocated to meet anticipated demand In a simple model where demand is constant, cycle stock equals half the order size The blue line refers to actual cycle inventory The red line refers to the average cycle stock The order size is 2 units and occurs once per unit time

82
Average Inventory Calculation: Constituent Parts Sum of pre-build inventory, safety stock and the cycle stock

83
Inventory Costs: Facility Inventory Holding Inv Holding Cost = Avg Inv * Product Value * (i/365) * T Avg Inv = Average Inventory Product Value = The Product’s Value in the Products Table i = Annual inventory holding cost % T = Optimization period in days Why determine Average Inventory? Avg Inv is used to calculate Facility Inventory Holding Costs in the Optimization

84
Inventory Costs: In-transit Inventory Total Cost due to value of products being transported and transport time Q = Quantity of Products in-transit Product Value = Value in Products Table i = Capacity Cost % in Model Options T = Transport Time in Days In-transit Inventory Cost = Q * Product Value * (i/365) * T

85
In-transit Inventory Costs: Example A to C 1000 * $500 * (15%/365) * 10 = $2,055 B to C 1000 * $500 * (15%/365) * 90 = $18,493 In-transit Inventory Cost = Q * Product Value * (i/365) * T Customer Demand = 1000 units 10 days 90 days DC_B_Overseas DC_A_Local Product Value = $500

86
Inventory Costs: Inbound and Outbound Warehousing Inbound Warehousing Cost: activity cost of handling and moving one unit of product from receiving dock to inventory Outbound Warehousing Cost: activity cost of removing one unit of this product from inventory to the shipping dock Includes such costs as paper tracking procedures, handling equipment, and personnel Does not include Transportation Costs

87
Exercise 2c: Add Inventory Costs

88
DC_1 –5 Inventory Turns –15% Annual Inventory Holding Cost –Inbound Warehousing=.5 –Outbound Warehousing =.6 DC_2 –7 Inventory Turns –15% Annual Inventory Holding Cost –Inbound Warehousing =.7 –Outbound Warehousing =.8 Copy Opt_Training_Costs_Transpo Save as Opt_Training_Costs_Inventory

89
Exercise 2c: Results Run the Optimization and View the Results!

90
Production Costs Basic Costs

91
Production Costs Simple Costing Work Center Costs (Sub Models) –Fixed Operating –Fixed Startup –Closing Work Resource Costs

92
Production Costs: Simple Unit Production Avg Unit Cost field for a “Make” sourcing policy Source Name field is left blank. Field Guru enables costing from a Step Graph for Economies of Scale

93
Optimization Basic Component 3 Constraints

94
Learning Objective- Constraints The learner will be able to explain the different constraints involved in the software, identify potential constraints to a supply chain model, apply constraints to a practice model, and successfully perform an optimization on the model

95
Constraints in Optimization Basics of Constraints Aggregate Constraints –Flow –Inventory –Production –Site Service Constraints –Max Sourcing Distance –Due Date –End to End –Bundled Demand

96
The Basics of Constraints: Definition Restrictions placed upon the model Aggregate Constraints: restriction defined for a sum over multiple objects, with at least one object having two or more values –Flow –Inventory –Production –Site Service Constraints: restriction placed on the service to a customer

97
The Basics of Constraints: Use in the Software Types of Constraints –Minimum –Maximum –Fixed –Conditional Minimum Constraint Variable Inputs –Specific: Refers to one site/ product/ time period/ mode –Set: Refers to a group of sites/ products/time periods/ modes –All: Refers to all sites/ products/ time periods/ modes

98
Aggregate Constraints Throughput Flow Inventory Production Site

99
Aggregate Constraints: Throughput Site is restricted by the amount of flow (basis)in the model during the specified period Step function depicts capacity limit with INF

100
Aggregate Constraints: Flow Restricted by 5 elements: Site, Destination, Mode, Product, or Time Period DC 1CZ 1 Flow requirement, flow requirement type, flow requirement basis, and time period that the restriction occurs

101
Aggregate Constraints: Flow Places a restriction on the product flow over a set of time periods, between source and destination sites, for products or when using a specified mode

102
Aggregate Constraints: Flow Count Sets up intricate constraints in the model linking the following 5 variables; Source, Destination, Product, Mode and Period By aggregating the Destination Sites, Products and Modes it disregards the various possible flows that are due to these variables

103
Aggregate Constraints: Inventory Restricted by 3 Elements –Site –Product –Time Period

104
Aggregate Constraints: Inventory Allows the specification of additional rules regarding inventory Defines aggregated quantities over sites, products, and time periods

105
Aggregate Constraints: Inventory Count Similar to aggregate flow count Can utilize the “Set” feature of the Groups Table

106
Aggregate Constraints: Production Restricted by 4 elements –Site –Process –Product –Time Period

107
Aggregate Constraints: Production Defines aggregated productions that need to be restricted by a plant, or set of plants and by products, or set of products

108
Aggregate Constraints: Production Count Similar to Aggregate Flow Count, but pertains to Productions

109
Aggregate Constraints: Site Defines the minimum and maximum number of open sites allowed in a set of periods

110
Aggregate Constraints at Sites Allows the user to customize the number of sites that can be used in a specific time period

111
Service Constraints Maximum Sourcing Distance Due Date End to End Bundled Demand

112
M2 M3 M1 CZ_1 CZ_2 CZ_3 CZ_4 WH2 WH3 WH1 Consider a network with manufacturing, warehousing, and customer echelons. All flows between two successive echelons are permitted. WH1WH2WH3 M M M CZ_1CZ_2CZ_3CZ_4 WH WH WH DISTANCES Service Constraints: Maximum Sourcing Distance

113
M2 M3 M1 CZ_1 CZ_2 CZ_3 CZ_4 WH2 WH3 WH1 WH2WH3 M M M CZ_1CZ_2CZ_3CZ_4 WH WH WH If the maximum sourcing distance is 200 miles for customers and 500 for the warehouses, the network is reduced to the following flow alternatives. DISTANCES Maximum Sourcing Distance

114
Between the end site and the source node Distance Based Can be set in either the Sourcing Policy Table or the Service Requirements Table

115
Customer due date-driven service constraints force the demand to be classified by customer lead times. Suppose P1 demand at each customer is 100 units. CZ_1 CZ_2 CZ_3 WH2 WH1 P1 in 7 days=75 P1 in 3 days=25 P1 in 5 days=50 P1 in 1 days=50 P1 in 6 days=40 P1 in 5 days= Air Truck Rail Classified demand Service Constraints: Customer Due Date

116
All supply alternatives are feasible for the first demand classification, but only the following alternatives are feasible for the second classification Air Truck Rail CZ_1 CZ_2 CZ_3 WH2 WH1 P1 in 3 days P1 in 1 days P1 in 5 days Customer Due Date

117
Only from the last echelon site to the customer Time- based Set in the Demand Table

118
M2 M1 CZ_1 CZ_2 WH2 WH3 WH1 End-to-end service requirements are given from a make-node to a customer node. Time from M1 to CZ_1 for Product1 <= 5 days Time from M2 to CZ_1 for all products <= 7 days Distance from M1 to CZ_2 for Product2 <= 250 miles Service Constraints: End-to-End

119
End to End Constraints Source Site does not have to directly deliver to the customer; there may be other facilities in the network where the order will pass through Specified by maximum time for an order to leave the facility and reach the customer OR by maximum allowable distance between the facility and the customer Set in Service Requirements Table

120
Service Constraints: Bundle Demand When choosing to bundle demand, demand for all products at one customer site will be sourced from one or multiple facilities at the same ratio WH1 WH2 CZ_1 Demand CZ_1(P1) = 600 Demand CZ_1(P2) =

121
Bundled Demand Check this box to aggregate all the demand by customers When a customer demands multiple products, these are sourced in equal ratios from one or multiple sites (proportional to the demand quantities for these products)

122
Exercise 3a: Constraining the Optimization Model

123
Unconstrained Model Al Five DCs in Use Houston Processing Plant supplies only DC_KC

124
With Aggregate Flow Constraints Max Flow Reqt Type means at most 500 units of flow can go through DC_Albany. Cond Min Flow Reqt Type means we either have at least 1000 units flow through DC_Portland or none at all. How does this change our optimized results?

125
With Aggregate Flow Constraints DC_Portland not used, customers now served by DC_Phoenix Fewer CZs in Northeast are served by DC_Albany, more by DC_Atlanta

126
With Aggregate Production Constraints Max Flow Requirement Type means that at most 1000 units can be produced at Norfolk. Min Flow Requirement Type means at least 850 units must be produced at Reno. How does this change our optimized results?

127
With Aggregate Production Constraints Fewer CZs in Midwest served by DC_Atlanta, more by DC_KC.

128
With Aggregate Site Constraints Create Group that contains all five DCs. Constrain Optimizer to select between one and three sites from within that group. How does this change our optimized results?

129
With Aggregate Site Constraints Portland and Phoenix DCs are unused, KC picks up the slack.

130
With Aggregate Inventory Constraints Open the Optimization Output Inventory table and note the inventory costs at DC_KC. Set Minimum Inventory at DC_KC to 100 units. Optimize the model. How does this change inventory costs at DC_KC?

131
Exercise 3b: Add Constraints

132
Copy the Final Cost Model Save as Opt_Training_Constraints Add the following Constraint: –DC_1 can only ship a maximum of 50 units of Product_A to CZ_1 for the entire model period (Horizon) Now run the model and view the results! How this affect the network design?

133
Check on Learning- Constraints You should be able to: –Define aggregate constraints –Define service constraints –Open the service requirements table –Open the aggregate constraint tables –Create service constraints –Create aggregate constraints –Define and distinguish between serve and aggregate constraints –Explain the constraint requirement types –Apply aggregate constraints to a model –Apply service constraints to a model –Understand aggregate constraints sum and objects

134
Infeasibility Analysis

135
Guru Infeasibility Analysis Sometimes the optimization solver returns with a “Problem Infeasible” error message Infeasibility refers to a problem with input data- there is no solution that fulfills all the constraints Guru provides the following tools to help the user identify the source of infeasibility –Check for supply-demand imbalance –Check for logic errors in defining the network structure –Remove all or some hard constraints and solve again

136
Infeasibility Analysis Select the hard constraints to impose

137
Optimization Results

138
Output Tables Graphs Metrics Layout Map Comparing Models

139
Optimization Results: Output Tables Summary –Network –Customer –Facility –Work Center –Transportation Asset –Work Resource Flows –Customer –InterFacility –Production Process Details –Productions –Inventory –Aggregated Demand

140
Optimization Results: Graphs Click of button to display results Numerous choices for data display

141
Optimization Results: Metrics Quick access to outputs Tables can be exported to Excel

142
Exercise 4: View Optimization Outputs

143
Viewing Optimization Outputs Compare optimization outputs from the Basic Model and the final Model –Graphically depict –Compare Tables

144
Review

145
Review Model Components Structure Cost Constraints Infeasibility Analysis Optimization Results

146
LLamasoft Support Phone: (734) Website:

Similar presentations

© 2016 SlidePlayer.com Inc.

All rights reserved.

Ads by Google