kinaxis - rapidresponse: how is it so fast?

Copyright © 2011 Kinaxis Inc. All Rights Reserved.

By Ravi Puvan, senior product manager, Kinaxis

RapidResponse: How is it so fast?


RapidResponse: How is it so fast?

• Kinaxis has built specialized supply chain software expertise and experience over many years.

• RapidResponse is unrivaled in speed and performance breakthroughs.

• This PPT will show the technology architecture and analytic capabilities of RapidResponse.


Technology Architecture

• RapidResponse uses an in-memory database.– Relies on main memory for computer data storage. – Employs patented technology to store multiple versions of

data using only incremental changes (deltas) in input date.– Provides access to numerous scenarios without incurring

large storage costs.RapidResponse

Scenario B

Scenario ABase Scenario


Technology Architecture

• Competitive systems store complete copies of each set of input data.

• However, the storage requirements to save complete copies of each dataset (or version) can be very large, as shown below.

Other Database

Base Scenario Scenario A Scenario B


Database Design

• Dealing with complex data relationships like the Bill of Materials (BOM), the database design employed by RapidResponse provides a significant performance advantage over other competing designs like relational and columnar databases.

Comparing Database Design

Relational Columnar RapidResponse

Search Speed w/ Few Columns

Search Speed w/ Many Columns

Efficient Data Storage

Performance with Complex Relationships e.g. BOM

Poor

Excellent


Relational Database

Pros:• Most common choice for data warehouse applications.• Data is organized in tables and allows for query flexibility. • There is a vast array of analytic and integration tools built

for relational databases. Cons: • Analytic-intensive applications are difficult to design,

challenging to maintain, and require designers to compromise between query performance and maximizing query flexibility.

• Performance breaks down when handling complex relationships like BOMs.


Columnar Database

Pros: • Stores content by column instead of row

– Can reduce the storage requirements where there is data duplication.

• Advanced search functions– Spans fewer columns of aggregated data

Cons:• Can’t handle complex relationships like BOMs.• Less efficient when many columns of a single row are

required at the same time.


RapidResponse Database

• RapidResponse uses direct memory references to quickly access the necessary data.

• Speed is significantly improved when accessing data.

Part

Set

Independent Demand

Part ABC

Demand 1 for Part ABC Ref

Ref

Ref

Ref

Demand 2 for Part ABC




RapidResponse Optimized Analytics

• Analytics code is directly compiled into the database engine. Has direct access to the memory data.– Less moving of data between database and analytics

improves performance.

• Analytic Modifiers – Introduces additional logic to be considered by core

analytics. – Can then modify calculations with additional logic.


RapidResponse Analytics Examples

• Capable-to-Promise– Uses patented method to calculate realistic order completion

dates. – Following calculations are performed by the CTP analytics:

• Supply demand allocation.• Available date.• Gating part.• Incremental availability.

• Multi-Sourcing– Allows a part to have more than one source of supply to satisfy

demand requirement. – Allows for allocation of different sources of supply based on factors

such as; target, priority, and contractual agreements.


RapidResponse Performance Tests


RapidResponse Performance Tests

• Simple Query Speeds– Add up all the quantity fields on the scheduled receipts:

0.050 sec – Count number of scheduled receipts whose start date is

more than 90 “working days” before the due date: 0.065 sec– Produced report of parts sorted by site and name: 7.0 sec

• Complex Query Speed – Run complete netting (MRP calculation) and count the

number of planned order recommendations: 45 seconds!– Running the same calculation again: 5 seconds!


You can download the full technical

whitepaper “RapidResponse: How is it so fast?” at:

www.kinaxis.com/go/technology-papers

http://www.kinaxis.com/go/technology-papers


Thank you!

kinaxis - rapidresponse: how is it so fast?

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