Industry 4.0 - use cases for Integrated Supply Chain15.12.2017Anubhav Dhiman

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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. Structuredb. Semi-Structurec. Unstructured

1. Core Transactional Data2. Internal System Data3. 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

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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. Structuredb. Semi-Structurec. Unstructured

1. Core Transactional Data2. Internal System Data3. Other …?

Defining business KPIs

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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.

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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

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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 A2. Carrier 2 $Bid B3. Carrier 3 $Bid C

● Acceptance model ● Profit maximization model● Ranked carrier list● Optimal shipper price

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Demo: Price Variance Dashboard

Price variance dashboard References:

● Open dashboard: Click here

● Online pricing and capacity sourcing for third-party logistics providers: Click here

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Use Case: Geospatial Analytics in Network Planning

Features:

● Network Overview● Asset

management

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Demo: Sandy Snow Removal Operations Web App

References:

● Open web app: Click here● Network and locational

analysis: Click here

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Use Case: Analytics for warehouse design

Bins

Items

Solution

x2

x4

x5

x3

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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

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Planetary-scale applications with open geospatial data

● Routing● Planning● Predictive modeling and● Mapping

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Network and Location Analysis

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Use Case: Delivery zones for a restaurant

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References:

● Open web app: Click here

Managing Supply Risks

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Use Case: World Risk Map

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References:

● Open live reporting: Click here