Guru Simulation Training. Agenda 1.Introduction 2.Data Model 1 st Pass: Basic Structure 3.Data Model...

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Guru Simulation Training

Agenda

1. Introduction

2. Data Model 1st Pass: Basic Structure

3. Data Model 2nd Pass: Policy Detail

4. Data Model 3rd Pass: Implementation

Agenda

1. Introduction• What are we going to Cover?

2. Data Model 1st Pass: Basic Structure

3. Data Model 2nd Pass: Policy Detail

4. Data Model 3rd Pass: Implementation

Introduction to the Data Model

1. Data Model 1st Pass: High Level Structure • 30,000 Ft view • Basic structural pieces

2. Data Model 2nd Pass: Policy Detail• 15,000 Ft view• Integrate details about inventory, sourcing and transportation

policies

3. Data Model 3rd Pass: Implementation• 1000 Ft view• How are the Guru Tables used to create a model

Agenda

1. Introduction

2. Data Model 1st Pass: Basic Structure• Basic Structural Elements• Walkthrough of Events

3. Data Model 2nd Pass: Policy Detail

4. Data Model 3rd Pass: Implementation

Data Model 1st Pass: Basic Structure

• Products

• Required Elements

Name

ValuePrice

Weight Cube

Product

Data Model 1st Pass: Basic Structure

• Sites

– Required Elements

– Name – Unique– Location – Lat/Long or Street Address– Type – Customer (Demand Point) or Facility (Hold Inventory)

CZ DC MFG

Data Model 1st Pass: Basic Structure

• Demand

– Required Elements

• Site• Product• Time• Quantity

Demand CZ

Data Model 1st Pass: Basic Structure

• Sourcing Policies

– Determines where the order will be sourced from

– Types of Policies• Single Source• Multiple Sources• Make

– Required Elements• Source• Destination• Product• Policy

CZ DC

Single Source

Multiple Sources

Make

CZ

DC1

DC2

MFG

Data Model 1st Pass: Basic Structure

• Inventory Policies

– Specifies when and how to replenish inventory

– Required Elements

• Site• Product• Policy

DC

IP

Data Model 1st Pass: Basic Structure

• Transportation Policies

– Required Elements

• Source• Destination CZ DC

• Basic Structural Elements

• Products• Sites• Demand• Sourcing Policies• Inventory Policies• Transportation Policies

• What are the Required Elements of each?• What are the different Sourcing Policy Types?

Data Model 1st Pass: Review

1. Demand Enters the Network

CZ DC MFGDemand

Customer (CZ) demands for a specific “Product”

Data Model 1st Pass: Walkthrough

2. Customer Source Selection

Demand

CZ chooses appropriate source based on Sourcing PolicyOrder placed at Distribution Center (DC) for quantity of product demanded

SP

CZ DC MFG

Data Model 1st Pass: Walkthrough

3. DC Inventory Review

Demand

Not enough inventory at the DC to fill the order – The DC places a replenishment order

SPIP

CZ DC MFG

Data Model 1st Pass: Walkthrough

4. DC Source Selection

Demand

DC has Need for ReplenishmentDC chooses appropriate source (sourcing policy), creates order at

Manufacturer (MFG)

SPIP

SP

CZ DC MFG

Data Model 1st Pass: Walkthrough

6. MFG Inventory Review

Demand

Inventory Sufficient to fill order – Create replenishment order

SPIP

CZ DC MFG

SPIP

Data Model 1st Pass: Walkthrough

8. MFG Source Selection

Demand

MFG has Need for ReplenishmentSince the MFG has a “Make” sourcing policy, it creates production order

SPIP

SP

CZ DC MFG

IP

SP

Data Model 1st Pass: Walkthrough

9. MFG Delivery to Customer through DC

Production Complete, Shipping Item Created at MFGShip Quantity to CZ through DC by specified transportation policies

Order Complete

Demand

SPIP

SP

CZ DC MFG

IP

SP

TP TP

Data Model 1st Pass: Walkthrough

Discrete Event Simulation

• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled

- Demand - Production- Scheduled Shipments - Delivery- Inventory Replenishment/Review

Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6

7 8 9 10 11 12 13

14 15 16 17 18 19 20

21 22 23 24 25 26 27

28 29 30 31

Discrete Event Simulation

• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled

– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ

Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6

7 8 9 10 11 12 13

14 15 16 17 18 19 20

21 22 23 24 25 26 27

28 29 30 31

CZ Demand / Order Gen.

Discrete Event Simulation

• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled

– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ– DC Inventory Review -> 10/3/07 at 12:00 am -> Order by DC

Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6

7 8 9 10 11 12 13

14 15 16 17 18 19 20

21 22 23 24 25 26 27

28 29 30 31

CZ Demand / Order Gen.

DC Inventory Check / Order Gen.

Discrete Event Simulation

• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled

– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ– DC Inventory Review -> 10/3/07 at 12:00 am -> Order by DC– MFG Inventory Review -> 10/4/07 at 12:00 am -> Order by MFG

Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6

7 8 9 10 11 12 13

14 15 16 17 18 19 20

21 22 23 24 25 26 27

28 29 30 31

CZ Demand / Order Gen.

DC Inventory Check / Order Gen.

MFG Inventory Check / Order Gen.

Discrete Event Simulation

• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled

– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ– DC Inventory Review -> 10/3/07 at 12:00 am -> Order by DC– MFG Inventory Review -> 10/4/07 at 12:00 am -> Order by MFG– MFG Production -> 10/5/07 at 4:00 pm

Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6

7 8 9 10 11 12 13

14 15 16 17 18 19 20

21 22 23 24 25 26 27

28 29 30 31

CZ Demand / Order Gen.

DC Inventory Check / Order Gen.

MFG Inventory Check / Order Gen.

Production at MFG

Discrete Event Simulation

• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled

– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ– DC Inventory Review -> 10/3/07 at 12:00 am -> Order by DC– MFG Inventory Review -> 10/4/07 at 12:00 am -> Order by MFG– MFG Production -> 10/5/07 at 4:00 pm– Shipment Leaves MFG -> 10/8/07 at 8:00 am

Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6

7 8 9 10 11 12 13

14 15 16 17 18 19 20

21 22 23 24 25 26 27

28 29 30 31

CZ Demand / Order Gen.

DC Inventory Check / Order Gen.

MFG Inventory Check / Order Gen.

Production at MFG

Shipment Leaves MFG

Discrete Event Simulation

• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled

– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ– DC Inventory Review -> 10/3/07 at 12:00 am -> Order by DC– MFG Inventory Review -> 10/4/07 at 12:00 am -> Order by MFG– MFG Production -> 10/5/07 at 4:00 pm– Shipment Leaves MFG -> 10/8/07 at 8:00 am– Shipment Arrives at DC -> 10/10/07 at 2:33 pm

Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6

7 8 9 10 11 12 13

14 15 16 17 18 19 20

21 22 23 24 25 26 27

28 29 30 31

CZ Demand / Order Gen.

DC Inventory Check / Order Gen.

MFG Inventory Check / Order Gen.

Production at MFG

Shipment Leaves MFG

Shipment Arrives at DC

Discrete Event Simulation

• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled

– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ– DC Inventory Review -> 10/3/07 at 12:00 am -> Order by DC– MFG Inventory Review -> 10/4/07 at 12:00 am -> Order by MFG– MFG Production -> 10/5/07 at 4:00 pm– Shipment Leaves MFG -> 10/8/07 at 8:00 am– Shipment Arrives at DC -> 10/10/07 at 2:33 pm– Shipment Leaves DC -> 10/11/07 at 8:00 am

Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6

7 8 9 10 11 12 13

14 15 16 17 18 19 20

21 22 23 24 25 26 27

28 29 30 31

CZ Demand / Order Gen.

DC Inventory Check / Order Gen.

MFG Inventory Check / Order Gen.

Production at MFG

Shipment Leaves MFG

Shipment Arrives at DC

Shipment Leaves DC

Discrete Event Simulation

• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled

– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ– DC Inventory Review -> 10/3/07 at 12:00 am -> Order by DC– MFG Inventory Review -> 10/4/07 at 12:00 am -> Order by MFG– MFG Production -> 10/5/07 at 4:00 pm– Shipment Leaves MFG -> 10/8/07 at 8:00 am– Shipment Arrives at DC -> 10/10/07 at 2:33 pm– Shipment Leaves DC -> 10/11/07 at 8:00 am– Shipment Arrives at CZ -> 10/11/07 at 2:22 pm

Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6

7 8 9 10 11 12 13

14 15 16 17 18 19 20

21 22 23 24 25 26 27

28 29 30 31

CZ Demand / Order Gen.

DC Inventory Check / Order Gen.

MFG Inventory Check / Order Gen.

Production at MFG

Shipment Leaves MFG

Shipment Arrives at DC

Shipment Leaves DC Shipment

Arrives at CZ

Data Model 1st Pass: Model Creation

• Open Supply Chain Guru

Data Model 1st Pass: Model Creation

• Add a New Model

– Go to File Add A New Model

Data Model 1st Pass: Model Creation

• Save the Model in Training Folder– C://Llamasoft/Training

– Save Model As:• Sim_Training_Basic

– Save Project As:• Guru_Training

Data Model 1st Pass: Model Creation

• Network Simulation Inputs

• Sites, Products, Demand

• Sourcing Polices

• Inventory Policies

• Transportation Policies

Data Model 1st Pass: Model Creation

• The Model we will Build

• 3 Sites

• 1 Product

Product

Demand

SPIP

SP

CZ DC MFG

IP

SP

TP TP

Data Model 1st Pass: Products

• Add Products to the Guru Model

• Name/SKU• Inventory Valuation• Price• Weight, Cubic• Status

Product

• Add Products to the Guru Model

• Open the Products Table• Add a Product with the following information:

Data Model 1st Pass: Products

Name: ProductValue: 5Price: 10Weight: 5Cubic: 5Type: DiscreteStatus: Include

Data Model 1st Pass: Sites

• Add Sites to the Guru Model

– Name– Location (Address, City, State, Country, Postal

Code, Latitude, Longitude)– Capacity Period, Capacity Basis– Fixed Startup Cost/Cap, Fixed Operating Cost/Cap– Closing Cost

MFGDCCZ

• Open the Sites Table

Data Model 1st Pass: Sites

1. Add Customer Site:

– Name: CZ– City: New York– State: New York– Type: Customer– Graphic: Circle– Graphic Color: Green

Data Model 1st Pass: Sites

2. Add Distribution Center:

– Name: DC– City: Omaha– State: Nebraska– Type: Existing Facility– Graphic: Triangle– Graphic Color: Yellow

3. Add Manufacturer:

– Name: MFG– City: Los Angeles– State: California– Type: Existing Facility– Graphic: Square– Graphic Color: Red

Data Model 1st Pass: Sites

• Display the Sites on the Map

Data Model 1st Pass: Sites

Data Model 1st Pass: Demand

• Add Demand to the Guru Model

- Customer Site - Time Between Orders

- Product - Due Date

- Quantity - Unit Price

- Occurrences

CZDemand In

Data Model 1st Pass: Demand

• Add Demand to the Guru Model

– Open the Demand Table

– Add (1) Demand Record with the following information:

Customer: CZ Due Date: 5 Day

Product: Product Occurrences: INF

Quantity: 100 Time Between Orders: 1 WK

Order Time: 0

Data Model 1st Pass: Review

Demand

SPIP

SP

CZ DC MFG

IP

SP

TP TP

Agenda

1. Introduction

2. Data Model 1st Pass: Basic Structure

3. Data Model 2nd Pass: Policy Detail • Sourcing Policies• Inventory Policies• Transportation Policies

4. Data Model 3rd Pass: Implementation

Data Model 2nd Pass: Sourcing

• Sourcing Policies

– Basic Types

• Upstream Replenishment– Single Source– Multiple Sources

• Self Replenishment– Make

– Required Elements

• Source• Destination• Product• Policy Type

CZ DC

Single Source

Multiple Sources

Make

CZ

DC1

DC2

MFG

Data Model 2nd Pass: Sourcing

• Available Sourcing Policies

1. Single Source

2. Multiple Sources (Most Inventory)

3. Multiple Sources (Order by Preference)

4. Multiple Sources (Probability)

5. Make – Single, Multiple (Order by Preference, Probability)

6. Custom

Data Model 2nd Pass: Sourcing

Demand

SP

CZ DC MFG

• Sourcing Walkthrough Review

Data Model 2nd Pass: Sourcing

• Add Sourcing Policies to the Guru Model

– For each Site/Product pair, define a Sourcing Policy linking the source to the destination site

MFGCZ DCProduct Product

• Add Sourcing Policies to the Guru Model

Data Model 2nd Pass: Sourcing

– Open the Sourcing Policies Table– Add a total of (3) Sourcing Policies

– 2 of type Single Source» Customer to DC» DC to Manufacturer» 1 for each DC-Product combination

– 1 of type Make» 1 for each product at the Manufacturer

• Display the Sourcing Policies on the Map

Data Model 2nd Pass: Sourcing

Data Model 2nd Pass: Review

Demand

SPIP

SP

CZ DC MFG

IP

SP

TP TP

Data Model 2nd Pass: Inventory

• Inventory Policies

• Required Elements

» Site» Product» Policy Type DC

IP

Data Model 2nd Pass: Inventory

• Inventory Policy Detail

There are three things beyond site, product and policy that are also necessary for any inventory policy

1. Point at which you reorder, what threshold?

• Reorder Point (RP)

2. Amount of which you order?

• Reorder Quantity / Order Up To Quantity (RQ)

3. When you check inventory levels?

• Review Period (P)

T

RP

QRQ

P

• Total Inventory Quantity Details

– Quantity Ordered but not yet Received (COQ)– Current Units in Inventory

Data Model 2nd Pass: Inventory

Days

RP

Units

RQ

Order Received

Current Inventory

+COQ

Order Placed

Current Inventory

Data Model 2nd Pass: Inventory

• Available Inventory Policies

1. Demand Flow• One for One Replenishment

2. R,Q• Fixed Reorder Point / Order Quantity

3. S,s• Fixed Reorder Point / Order Up To Quantity

Data Model 2nd Pass: Inventory

• Available Inventory Policies

1. Demand Flow (one for one replenishment)

Q

T

Data Model 2nd Pass: Inventory

• Available Inventory Policies

2. R,Q (fixed reorder point, reorder qty)

Q

T

RP

RQ

Data Model 2nd Pass: Inventory

• Available Inventory Policies

3. S,s (Fixed reorder point, order up to point)

Q

T

RP

RQ

Data Model 2nd Pass: Inventory

• Available Inventory Policies

4. S,s Targets • Change Reorder Point / Order Up To Qty by period

5. R,Q Targets • Change Reorder Point / Order Quantity by period

6. Custom Policy

Data Model 2nd Pass: Inventory

• Available Inventory Policies

7. DOS Demand• Based on Previous Demand• DOS Window – Calculate Reorder Point and Order Up To Quantity

8. DOS Forecast• Based on Demand Forecast• DOS Window – Calculate Reorder point and Order Up To Quantity• Planning Lead Time (LT) – Offset Window for Seasonality

Time Window

Time WindowLT

Data Model 2nd Pass: Inventory

Demand

SPIP

CZ DC MFG

• Inventory Walkthrough Review

Data Model 2nd Pass: Inventory

• Add Inventory Policies to the Guru Model

• One Inventory Policy is optional for each product at each non-Customer site.

• Each Inventory Policy defines:

• Initial Inventory levels• Safety/Cycle Stock Levels• Associated Costs

DCMFG

Product Product

Data Model 2nd Pass: Inventory

• Add Inventory Policies to the Guru Model

• Open the Inventory Policies Table• Add (2) Inventory Policies• One for each (non-Customer) Site-Product combination

- Sites: MFG, DC- Products: Product- Leave all other fields at default value

Data Model 2nd Pass: Review

Demand

SPIP

SP

CZ DC MFG

IP

SP

TP TP

Data Model 2nd Pass: Transportation

• Transportation Policies

– Required Elements

– Source– Destination– Mode

– Lane = Collection of Modes between a Source and Destination

DC CZ

DC – CZ Lane

• Transportation Lane Details

– Lane Elements:Source Lane Queue Modes

Destination Mode Rules

Shipping Items Mode Queue

Data Model 2nd Pass: Transportation

Lane Queue

ModeRules

Mode Queue

Mode 1

Mode 2

ModesShipping Item

CZ

Destination

DC

Source

DC – CZ Lane

Data Model 2nd Pass: Transportation

• Transportation Mode Rules

Mode 1

Mode 2

Mode 3

Mode 4

Mode Rules

CZDC

DC – CZ Lane

Data Model 2nd Pass: Transportation

• Transportation Mode Rule Details

• First – selects the first mode alphabetically• First Available Asset – selects the mode with the first asset available• By Probability – Chooses mode based on chance/probability• On Due Date – Sends shipment on mode if necessary for on time• On QTY, Weight, Cubic – lists classes for each mode (0-500 ->0), (500-INF->500)• Queue Only – just place in queue do not ship• Custom Mode Selection

Mode 1

Mode 2

Mode 3

Mode 4

CZDC

DC – CZ Lane

Data Model 2nd Pass: Transportation

• Transportation Modes

LTL

Full TL

Periodic

Pooled

Modes

CZDC

DC – CZ Lane

• Transportation Mode Details

Data Model 2nd Pass: Transportation

• Full TL • Requires Asset, Fill level and Capacity• Released from Queue when full

• LTL • Shipped Immediately

• Periodic • Scheduled Shipments• Requires Shipment Period

• Pooled (inbound and Outbound) • Multiple Stops/Deliveries (Milk Run)• Requires Asset, Fill Level and Capacity

• Other • Parcel, air, rail and ship. • Function as LTL• If Asset is used, function as Full TL

LTL

Full TL

Periodic

Pooled

CZDC

DC – CZ Lane

• Transportation Assets

– Elements» Name» Number of Units» Fill level (Weight or Cube)» Capacity (Weight or Cube)» Only Released if fill level reached

Data Model 2nd Pass: Transportation

LTL

Full TL

Periodic

Pooled

ModeAsset

Required

Yes

Yes

No

No

DC CZ

DC – CZ Lane

Data Model 2nd Pass: Transportation

• Transportation Costs

• Applied to each mode

• 4 ways to Enter Costs • Number• Step Function• Dynamic Rate (Input Pipe)• Custom

• Cost Basis – Qty, Distance, Weight

Cubic, etc.

Data Model 2nd Pass: Transportation

• Transportation Policy Walkthrough

1. Shipping Item Queued at Lane

• Order gets put into lane queue as a Shipping Item

Mode 1

Mode 2

Shipping Item

Lane Queue

Data Model 2nd Pass: Transportation

• Transportation Policy Walkthrough

2. Review Period for Queue

• Contents of Queue evaluated at Review Period

Mode 1

Mode 2

Shipping Item

Lane Queue

Data Model 2nd Pass: Transportation

• Transportation Policy Walkthrough

3. Mode Rule Execution

• Mode Selected by Mode Rule• Shipping Item Sent to Queue at the Mode

Mode 1

Mode 2

Shipping Item

Lane Queue Mode

Rule

Data Model 2nd Pass: Transportation

• Transportation Policy Walkthrough

4. Mode Behavior

• Shipping Item Queued at the Mode– LTL - Ship Immediately – Full TL – Wait for Fill Level, then ship

Mode 1

Mode 2

Shipping Item

Lane Queue

Mode Queue

ModeRule

Data Model 2nd Pass: Transportation

• Transportation Policy Walkthrough

5. Item Shipped

• Item placed on appropriate mode, released to destination

Mode 1

Mode 2

Shipping Item

Lane Queue

Mode Queue

ModeDecision

Mode

• Transportation Walkthrough Review

Data Model 2nd Pass: Transportation

Demand

SPIP

SP

CZ DC MFG

IP

SP

TP

Mode 1

Mode 2

TP

• Add Transportation Policies to the Guru Model

• There is at least one Transportation Policy that applies to a Sourcing Policy which is not “Make”

• Each Transportation Policy defines a “Flow”:

1. Source Site2. Destination Site3. Product (all applicable products if not explicitly entered)4. Mode (1 if not explicitly entered)

Data Model 2nd Pass: Transportation

MFGDCCZ

• Add Transportation Policies to the Guru Model

• Open the Transportation Policies Table• Add (2) Transportation Policies• One for each Source-Destination combination defined in

Sourcing Policies

• Sources: MFG, DC• Destinations: DC, CZ• Leave all other fields at default value

Data Model 2nd Pass: Transportation

Data Model 2nd Pass: Review

Demand

SPIP

SP

CZ DC MFG

IP

SP

TP

Mode 1

Mode 2

TP

Agenda

1. Introduction

2. Data Model 1st Pass: Basic Structure

3. Data Model 2nd Pass: Policy Detail

4. Data Model 3rd Pass: Implementation• Additional Features• Output Analysis

• We have already created the Basic Structure of our Model

» Products» Sites» Demand» Sourcing Policies» Inventory Policies» Transportation Policies

• Lets try running our model!

Data Model 3rd Pass: Implementation

• Open the Model Options• Simulation Period (Tools -> Model Options (F3))

– Specified by:» Start Date/Time» End Date/Time

Data Model 3rd Pass: Running the Model

Start Date/Time

End Date/Time

• Open the Simulation Control Panel– Simulate -> Simulate Supply Chain (F7)

Data Model 3rd Pass: Running the Model

Hit Run!

Error Check?

Data Model 3rd Pass: Results Analysis

• Analyzing the Results

– Simulation Output Tables

• Network Summary• Site Summary• Product Summary• Inventory Details• Service Details• Shipment Transactions

Data Model 3rd Pass: Additional Details

• Additional Details we will add/change:

• Inventory » Policies» Costs

• Transportation » Policies » Costs» Times

• Sourcing » Policies» Costs

Data Model 3rd Pass: Inventory

• Open the Inventory Policies Table

– Add Policies & Costs

DC – Product MFG – Product

Policy = R,Q Policy = s,S

Reorder Point = 500 Reorder Point = 500

Reorder Qty = 1000 Reorder Qty = 1000

Review Period = Daily Review Period = Daily

Initial Inventory = 750 Initial Inventory = 750

Inbound Cost = 0.5 Inbound Cost = 0.3

Outbound Cost = 0.5 Inbound Cost = 0.3

Data Model 3rd Pass: Transportation

• Transportation Policy Modification

– Open the Demand Table• Add An Additional Demand

– CZ, Product, 50, 0, 5 DAY, INF, 2 WK

– Open the Transportation Policies Table• Create an additional DC -> CZ Policy, mode 2• Set the Following:

Mode 1 Mode 2

Mode Rule: On Qty Mode Rule: On Qty

Parameter: 0 Parameter:125

Cost: 0.5 Cost:0.3

Data Model 3rd Pass: Sourcing

• Sourcing Policies Modification

– Open the Sites Table• Add An Additional DC to the sites table

– DC_2, location = Dallas, TX, 75201• Auto Generate Alternative Sources

– Replicate DC inventory, sourcing, and transportation policies for DC_2

– Open the Sourcing Policies Table• Modify the sourcing policies for DC and DC_2

– Set both sourcing policies to Multiple Sources(Probability)– Set both parameters to 50

• Set the Sourcing Cost of the Make Policy to 1

Data Model 3rd Pass: Results Analysis

• Analyzing the Results

– Simulation Output Tables

• Network Summary• Site Summary• Product Summary• Inventory Details• Service Details• Shipment Transactions

Final Review

Demand

SPIP

SP

CZ DC MFG

IP

SP

TP

Mode 1

Mode 2

TP

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