Beyond Order Orchestration: Plan and Execute with Allocation and Backlog Management Rajat Bhargav,...
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Transcript of Beyond Order Orchestration: Plan and Execute with Allocation and Backlog Management Rajat Bhargav,...
![Page 1: Beyond Order Orchestration: Plan and Execute with Allocation and Backlog Management Rajat Bhargav, Director, Product Strategy Danny Smith, Executive Director,](https://reader035.fdocuments.net/reader035/viewer/2022062511/5516e2c4550346fe558b45be/html5/thumbnails/1.jpg)
Beyond Order Orchestration: Plan and Execute with Allocation and Backlog Management Rajat Bhargav, Director, Product StrategyDanny Smith, Executive Director, SCM Solutions
![Page 2: Beyond Order Orchestration: Plan and Execute with Allocation and Backlog Management Rajat Bhargav, Director, Product Strategy Danny Smith, Executive Director,](https://reader035.fdocuments.net/reader035/viewer/2022062511/5516e2c4550346fe558b45be/html5/thumbnails/2.jpg)
Copyright © 2013, Oracle and/or its affiliates. All rights reserved. Oracle - Restricted2
Safe Harbor Disclaimer
The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle Corporation.
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Copyright © 2013, Oracle and/or its affiliates. All rights reserved. Oracle - Restricted3
Agenda
The Business Problem
The Desired Process
Oracle’s Solution
Q&A
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Copyright © 2013, Oracle and/or its affiliates. All rights reserved. Oracle - Restricted4Supply Chain Management Review 2013 Order Fulfillment Survey
53% of high-tech
companies collaborate with partners on
demand forecasting
High-tech companies do
not meet their allocations
commitments
50% of the time
Inaccuracy of data and the inability to stick to the committed forecast impede the success of collaborative
forecast compliance programs.
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Allocation Process
Statistical
Forecast
Collaborative Allocation
Promising
DemandAllocation
Rules
Constrained Supply
Supply Planning
Customer Orders
Supply
Budget1
3
4
5
6
7 8
9
1. Run Statistical Forecast2. Import forecast to collaborative environment3. Create allocation plan (consensus)4. Import allocation plan as forecast to supply plan5. Run supply plan (constrain demand)6. Import constrained supply plan into collaboration environment7. Create final allocation plan and export for enforcement8. Collect supply plan (stock and production)9. Orders quantities are kept consistent with final allocation plan
Excess order quantity is split and queued
2
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Align Planning & Execution with Order Promising
Order Promising
Allocated ATP/CTP/PTP
Multi-channel, Multi-division, Multi-partner
ExecutionPlanning
FeasibleOptimal
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Align Planning & Execution with Order Promising
Order Promising
Allocated ATP/CTP/PTP
Multi-channel, Multi-division, Multi-partner
ExecutionPlanning
FeasibleOptimal
Only 1 in 3 companies feel good about their order promising
Source: Oracle / Capgemini
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Align Planning & Execution with Order Promising
Order Promising
Allocated ATP/CTP/PTP
Multi-channel, Multi-division, Multi-partner
ExecutionPlanning
FeasibleOptimal
…. think that their exception handling needs improvement
Delivery delays and resultant expediting are the largest drivers of fulfillment costsSource: Oracle / Capgemini
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Promising EnginePromising Engine
Allocation Availability
Supply(Inventory and
Production)
Demand(Commitment)
Promising
Rules
Promise Date
• lead times• shipping constraints• service levels
• sourcing• costs• calendars
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BUSINESS RULES
BUSINESS PROCESS
CHANGE MANAGEMENT
PROACTIVE EXCEPTION
MANAGEMENT
ORDER PROMISING
Distributed Order Orchestration Components
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Configurable Business Rules
Warehouse
In Store
Commerce
• Enrich orders for fulfillment
• Select optimal fulfillment process
• Assign fulfillment process to lines
• Route requests to appropriate fulfillment system
• Enable business users to configure rules without IT coding
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Business Process Mapping
• Define unlimited global fulfillment processes
• Add wait times & prevent premature actions
• Support change order processing, process restart, and multiple processes per order
• Improve insights & decisions with in-context embedded analytics
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Order Promising
• Create/Assign Sourcing & Promise Rules• Profitable to Promise, Capable to Promise, Available to
Promise
• Allocation by Demand Class (e.g. channel)
• Manage jeopardy conditions
• Perform what-if analysis for cost & delivery times with embedded analytics
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Order Change ManagementProcessing Constraints
Order Change Request
Reset Process to
Re-execute
Cost of Change?
Update Allowed?
Provides cost to change visibility for
smarter updates
Rules-driven decision making based on order attributes, user
role or business process
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Proactive Exception ManagementJeopardy Management
Is this a problem
yet?
Which customer is impacted?
What is the order’s priority?
Which step is late?
How late is the step?
Who needs to be
alerted?What is the
cost to rectify?
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100% Open Standards
Role-Based User Experience
What You Need to KNOW
What You Need to DO
WHO Can Help
HOW to Get it Done
Unified Information
Services
Intelligent Business Processes
Business Unit
Employee
Product Customer
Date EffectivityLedgerOrganization
TreesTerritory
…
Java, BPEL, XML,HTML, AJAX, Portlet, RSS, Mobile, etc.
100% Open Standards
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Current Situation without GOPSub-optimal service, revenue, and margin
Standard lead times
Isolated stock visibility
Availability limited to stock on hand
CUSTOMER
PlantsWare house
Partners Store
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The Solution: Fusion GOPOptimized delivery across all sources of supply
Fusion Global Order Promising
Visibility What-if Simulation Embedded Analytics
Available to Promise (ATP)Capable to Promise (CTP)
Profitable to Promise (PTP)
CUSTOMER
PlantsWare house
Partners Store
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Architected for flexibility– Supply chain definition
– Promising rules
Capabilities new to Fusion– Profitable to Promise
– Alternate availability options
– What-if simulation
– Embedded analytics
– In-memory performance
Highlights
Fusion Global Order Promising
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Define sources and their priorities
Specify internal orgs and suppliers / supplier sites
Assign sourcing by item, category, item-org, customer, or geography/zone
Key Features
Create and Assign Sourcing Rules
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Choose among 3 modes For supply chain availability
mode, specify ATP, CTP, or PTP, and multiple attributes
Assign rules by category, org, item, or item-org
Key Features
Create and Assign ATP Rules
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Preserve scarce supply for most important orders
Allocate by Demand Class Assign allocation rules by
category, org, item, or item-org
Key Features
Specify and Assign Allocation by Demand Class
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