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Industry 4.0 - use cases for
Integrated Supply Chain
15.12.2017
Anubhav Dhiman
1
Mapping and Consolidating Manufacturing Data
Devices and
Sensors
Plant and
Operations
Supply Chain and
Inventory
Marketing and
CRM
Public and Trade
- RFID
- Software Logs
- Vehicle Telemetry
- Quality/ Testing
- MES
- Video
- Line Productivity
- Machines
- Scheduling
- Forecasts
- ERP
- Suppliers
- Receivables
- Commodity Price
- Scorecards
- Delivery Metrics
- Stock Transfers
- Warranties
- Aftermarket
- Affiliates
- Competitive
Intelligence
- Market
Intelligence
- Policy/
Regulation
- Demographics
- Geography
- Macroeconomic
- Gas Prices
- Journals/
EditorialsData:
a. Structured
b. Semi-Structure
c. Unstructured
1. Core Transactional Data
2. Internal System Data
3. Other …? 2
VP Supply Chain
- Inventory Balance
- Shipping Performance
- Sales Cycle
VP Sales
- Revenue
- Trends
- Sales cycle
Sales Representative
- Customer Report
- Sales Cycle
- Warranty Claims
Procurement Manager
- Shipping Performance
- Fulfillment
- Backlog
Inventory Manager
- Overview
- Activities
- Exceptions
Tailoring analytics to needs of the job
3
Order management & Fulfillment
Metrics
- # of Orders
- Ordered, Invoiced, Cancelled
- Discount
- COGS
- Margins
- Returns
- On time Pick Rate
- On time Shipping Performance
- Order to Invoice Lag
Inventory Metrics
- Available Consignments
- Blocked Consignments
- Days Inventory Outstanding
- In Transit Quantity
- Inspection Reports
- Inventory Turn
- Opening Quantity
- Replenishment Quantity
Data:
a. Structured
b. Semi-Structure
c. Unstructured
1. Core Transactional Data
2. Internal System Data
3. Other …?
Defining business KPIs
4
Target for predictive Analytics
in Supply chain
Network Planning and
Optimization – Do I have the
right network of manufacturing
and warehousing facilities?
● Optimized flow paths to
fulfill segments of demand
at lowest total cost.
Impacts: Fixed and variable
costs of operations.
Transportation Analytics –
Optimizing transportation routes
and loads including contract
compliance
● Optimizing shipment
schedules, routes including
backhaul.
Impacts: freight costs,
equipment utilization, contract
compliance.
Procurement Analytics – How to
achieve lowest landed cost and
secure long-term high quality
supplier partners?
● Implementing scoring
models for vendor quality,
cost, and stability.
Impacts: total landed cost,
security and quality of the
supplier chain.
5
Use Case: Upstream multi-tier visibility and analytics
Tier N Tier 2 Tier 1 Tier 0
➔ Suppliers ➔ Component
Manufacturers
➔ Suppliers
➔ Manufacturer
➔ Component
Manufacturers
➔ Manufacturer
● Components ● Sub assemblies
● Components
● Final Product
● Sub assemblies
● Final Product
Actors
Value
Add
Critical Parts Management
Parts Flow
Information and Planning Flow
6
Use Case: Pricing shipments & Capacity sourcing for 3PL
Input Output
Models
Datasets
● Shipment attributes
● Carrier attributes
● Lane attributes
● Weather
● Locations
● Events
● Contracts
● Historical Performance
Shipment X
from i to j
1. Shipper 1 $Bid A
2. Carrier 2 $Bid B
3. Carrier 3 $Bid C
● Acceptance model
● Profit maximization model
● Ranked carrier list
● Optimal shipper price
7
Demo: Price Variance Dashboard
Price variance dashboard References:
● Open dashboard: Click
here
● Online pricing and
capacity sourcing for
third-party logistics
providers: Click here
8
Use Case: Geospatial Analytics in Network Planning
Features:
● Network Overview
● Asset
management
9
Demo: Sandy Snow Removal Operations Web App
References:
● Open web app: Click here
● Network and locational
analysis: Click here
10
Use Case: Analytics for warehouse design
Bins
Items
Solution
x2
x4
x5
x3
11
Use Case: pactris for Smart Cars
References:
● Open video: Click here
● Optimization of
heterogeneous Bin packing
using adaptive genetic
algorithm: Click here
● Warehouse Optimization:
Packing-algorithms for
goods with complex
geometries: Click here
12
Planetary-scale
applications with open
geospatial data
● Routing
● Planning
● Predictive modeling and
● Mapping
13
Network and Location Analysis
14
Use Case: Delivery zones for a restaurant
15
References:
● Open web app: Click here
Managing Supply Risks
16
Use Case: World Risk Map
17
References:
● Open live reporting: Click
here

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Industry 4.0: use cases for integrated supply chain

  • 1. Industry 4.0 - use cases for Integrated Supply Chain 15.12.2017 Anubhav Dhiman 1
  • 2. Mapping and Consolidating Manufacturing Data Devices and Sensors Plant and Operations Supply Chain and Inventory Marketing and CRM Public and Trade - RFID - Software Logs - Vehicle Telemetry - Quality/ Testing - MES - Video - Line Productivity - Machines - Scheduling - Forecasts - ERP - Suppliers - Receivables - Commodity Price - Scorecards - Delivery Metrics - Stock Transfers - Warranties - Aftermarket - Affiliates - Competitive Intelligence - Market Intelligence - Policy/ Regulation - Demographics - Geography - Macroeconomic - Gas Prices - Journals/ EditorialsData: a. Structured b. Semi-Structure c. Unstructured 1. Core Transactional Data 2. Internal System Data 3. Other …? 2
  • 3. VP Supply Chain - Inventory Balance - Shipping Performance - Sales Cycle VP Sales - Revenue - Trends - Sales cycle Sales Representative - Customer Report - Sales Cycle - Warranty Claims Procurement Manager - Shipping Performance - Fulfillment - Backlog Inventory Manager - Overview - Activities - Exceptions Tailoring analytics to needs of the job 3
  • 4. Order management & Fulfillment Metrics - # of Orders - Ordered, Invoiced, Cancelled - Discount - COGS - Margins - Returns - On time Pick Rate - On time Shipping Performance - Order to Invoice Lag Inventory Metrics - Available Consignments - Blocked Consignments - Days Inventory Outstanding - In Transit Quantity - Inspection Reports - Inventory Turn - Opening Quantity - Replenishment Quantity Data: a. Structured b. Semi-Structure c. Unstructured 1. Core Transactional Data 2. Internal System Data 3. Other …? Defining business KPIs 4
  • 5. Target for predictive Analytics in Supply chain Network Planning and Optimization – Do I have the right network of manufacturing and warehousing facilities? ● Optimized flow paths to fulfill segments of demand at lowest total cost. Impacts: Fixed and variable costs of operations. Transportation Analytics – Optimizing transportation routes and loads including contract compliance ● Optimizing shipment schedules, routes including backhaul. Impacts: freight costs, equipment utilization, contract compliance. Procurement Analytics – How to achieve lowest landed cost and secure long-term high quality supplier partners? ● Implementing scoring models for vendor quality, cost, and stability. Impacts: total landed cost, security and quality of the supplier chain. 5
  • 6. Use Case: Upstream multi-tier visibility and analytics Tier N Tier 2 Tier 1 Tier 0 ➔ Suppliers ➔ Component Manufacturers ➔ Suppliers ➔ Manufacturer ➔ Component Manufacturers ➔ Manufacturer ● Components ● Sub assemblies ● Components ● Final Product ● Sub assemblies ● Final Product Actors Value Add Critical Parts Management Parts Flow Information and Planning Flow 6
  • 7. Use Case: Pricing shipments & Capacity sourcing for 3PL Input Output Models Datasets ● Shipment attributes ● Carrier attributes ● Lane attributes ● Weather ● Locations ● Events ● Contracts ● Historical Performance Shipment X from i to j 1. Shipper 1 $Bid A 2. Carrier 2 $Bid B 3. Carrier 3 $Bid C ● Acceptance model ● Profit maximization model ● Ranked carrier list ● Optimal shipper price 7
  • 8. Demo: Price Variance Dashboard Price variance dashboard References: ● Open dashboard: Click here ● Online pricing and capacity sourcing for third-party logistics providers: Click here 8
  • 9. Use Case: Geospatial Analytics in Network Planning Features: ● Network Overview ● Asset management 9
  • 10. Demo: Sandy Snow Removal Operations Web App References: ● Open web app: Click here ● Network and locational analysis: Click here 10
  • 11. Use Case: Analytics for warehouse design Bins Items Solution x2 x4 x5 x3 11
  • 12. Use Case: pactris for Smart Cars References: ● Open video: Click here ● Optimization of heterogeneous Bin packing using adaptive genetic algorithm: Click here ● Warehouse Optimization: Packing-algorithms for goods with complex geometries: Click here 12
  • 13. Planetary-scale applications with open geospatial data ● Routing ● Planning ● Predictive modeling and ● Mapping 13
  • 14. Network and Location Analysis 14
  • 15. Use Case: Delivery zones for a restaurant 15 References: ● Open web app: Click here
  • 17. Use Case: World Risk Map 17 References: ● Open live reporting: Click here