Smart Inventory System. Step 1: Manage inventory Step 2: Record New Purchase Step 3: Generate New Purchase Plan (smartly)

Slides:



Advertisements
Similar presentations
Filtering the data. Detrending Economic time series are a superposition of various phenomena If there exists a « business cycle », we need to insulate.
Advertisements

Dialogue Policy Optimisation
Chapter 13 – Boot Strap Method. Boot Strapping It is a computer simulation to generate random numbers from a sample. In Excel, it can simulate 5000 different.
Artificial Intelligence in Game Design
Ratio Analysis Division A, Division B, Division C, and Consolidated.
Content Based Image Clustering and Image Retrieval Using Multiple Instance Learning Using Multiple Instance Learning Xin Chen Advisor: Chengcui Zhang Department.
1 Information in Action Fanny Widadie, S.P., M.Agr.
Computational Modeling of Macroeconomics Adam Szatrowski '12 Stephen Sentoff '11.
Scenario  You have last week’s closing stock price for a particular company. You are trying to place a value to a European call option which expires a.
6/2/2001 Cooperative Agent Systems: Artificial Agents Play the Ultimatum Game Steven O. Kimbrough Presented at FMEC 2001, Oslo Joint work with Fang Zhong.
Ensemble Learning: An Introduction
COMP 578 Genetic Algorithms for Data Mining Keith C.C. Chan Department of Computing The Hong Kong Polytechnic University.
As with averages, researchers need to transform data into a form conducive to interpretation, comparisons, and statistical analysis measures of dispersion.
IT landscapes have developed into a highly complex combination of various ERP systems, databases etc and very often with fragmented and duplicate data.
FREQUENCY DISTRIBUTION. Objectives; Organize data in the form of frequency distribution Distinguish an exact limits, class mark, class intervals, cumulative.
Cumulative Frequency Diagrams & Box Plots
Trading Agent Competition (Supply Chain Management) and TacTex-05.
Mayfield – Data Handling Lo: To understand which is the appropriate graph to test each hypothesis. To be able to self analyse and adapt my own work.
Genetic Algorithm.
Exploring Genetic Algorithms Through the Iterative Prisoner's Dilemma Computer Systems Lab Aaron Dufour.
Chapter 3 Descriptive Measures
SOFT COMPUTING (Optimization Techniques using GA) Dr. N.Uma Maheswari Professor/CSE PSNA CET.
Chapter 6 Merchandise Inventory
A Statistical Analysis of Seedlings Planted in the Encampment Forest Association By: Tony Nixon.
Week 8: eProcurement and Auctions MIS 3537: Internet and Supply Chains Prof. Sunil Wattal.
Chapter 21.1 What is Supply?. An Introduction to Supply  Supply refers to the various quantities of a good or service that producers are willing to sell.
TRI Training Conference Show Me The Money: Use of TRI Data by the Financial Sector “Processing the Data” Mark Bateman Director of Research, IW Financial.
Comparison of Differential Evolution and Genetic Algorithm in the Design of a 2MW Permanent Magnet Wind Generator A.D.Lilla, M.A.Khan, P.Barendse Department.
Researchers: Preet Bola Mike Earnest Kevin Varela-O’Hara Han Zou Advisor: Walter Rusin Data Storage Networks.
1 DSCI 3123 Process Planning And Technology Process Strategy Process Planning Make-Or-Buy Decisions Process & Specific Equipment Selection Process Analysis.
Cost/Benefit Analysis Review Cost/Benefit can done using NPW or EAW, pick one! (choose whichever method is easiest for the problem statement) Criteria:
1 A New Method for Composite System Annualized Reliability Indices Based on Genetic Algorithms Nader Samaan, Student,IEEE Dr. C. Singh, Fellow, IEEE Department.
EXAM REVIEW MIS2502 Data Analytics. Exam What Tool to Use? Evaluating Decision Trees Association Rules Clustering.
FORS 8450 Advanced Forest Planning Lecture 11 Tabu Search.
Basic Statistical Terms: Statistics: refers to the sample A means by which a set of data may be described and interpreted in a meaningful way. A method.
Biology End of Course ORQ GET OUT YOUR OPEN RESPONSE!
3 common measures of dispersion or variability Range Range Variance Variance Standard Deviation Standard Deviation.
Diffusion in Disordered Media Nicholas Senno PHYS /12/2013.
Learning Objectives Understand the Business – LO1 Describe the issues in managing different types of inventory. Study the accounting methods – LO2 Explain.
Product Training Stock Counting Where “Lean” principles are considered common sense and are implemented with a passion!
Principles of Macroeconomics Lecture 4 BUSINESS CYCLES AND AGGREGATE DEMAND.
Random Numbers Random numbers are extremely useful: especially for games, and also for calculating experimental probabilities. Formula for generating random.
1 Project Quality Management QA and QC Tools & Techniques Lec#10 Ghazala Amin.
11-1 Strategic Cost Management Strategic Cost Management: Basic Concepts Strategic planning and decision making requires a broad set of information.
A. A general rise in prices. 1. When prices rise, a person’s ability to buy goods and services goes down, which decreases purchasing power.
What option for opening a restaurant are you still holding on to? 1. Take your savings and open the restaurant now. 2. Hold off for a year and open it.
Business Cycle. The economy does not grow at a constant rate, instead it goes through alternating periods of growth and decline.
WARM UP #9 What does it mean for an event to be cyclical? What are some examples? What do they all have in common? When you go to the doctor, what are.
Intelligent Database Systems Lab N.Y.U.S.T. I. M. Shopbot 2.0-Integrating recommendations and promotions with comparison shopping Presenter : Wu, Jia-Hao.
Financial Ratios IDC4U1 – Financial Securities Mr. M. Goldberg, Martingrove C.I. a b = Profit!
Inventory Management 1Dr.BALAMURUGAN MUTHURAMAN Chapter 1.
Money and Financial Mathematics 2.
Introduction to Accounting Preparing for a User’s Perspective
Procurement, and Supply Chain Management
LESSON 6-2 Inventory Costing
Inventory Costing.
Hilton • Maher • Selto.
Accounting 30 Chapter 20 Final Jeopardy Topic 1 Topic 2 Topic 3
Process Planning And Technology
Cumulative Frequency Diagrams & Box Plots
Cumulative Frequency Diagrams & Box Plots
LESSON 6-2 Inventory Costing
Linear simultaneous Equations: Eliminating the variable
Linear simultaneous Equations: Eliminating the variable
The estimate of the proportion (“p-hat”) based on the sample can be a variety of values, and we don’t expect to get the same value every time, but the.
Exploring Genetic Algorithms Through the Iterative Prisoner's Dilemma
FIRST-IN, FIRST-OUT INVENTORY COSTING METHOD
Ticket Bookings At Lower Rates With Viator Coupon with.
Cost/Benefit Analysis Review
Little Man Computer Lesson 3 The times table
Presentation transcript:

Smart Inventory System

Step 1: Manage inventory Step 2: Record New Purchase Step 3: Generate New Purchase Plan (smartly)

Slow Intelligence Algorithm At beginning, there is not many information in the database to compute which supplier is best, so system will choose a supplier with lowest purchase frequency, this is to populate the data and give every supplier fair chance to show there price.

Slow Intelligence Algorithm When system has enough data which is indicated by a threshold variable. The system will use other method to choose supplier: – Lowest Last Price – Lowest Average Price – Lowest Purchase Freq – Highest Purchase Freq – Price Trend

Slow Intelligence Algorithm After the manager use the generated plan to do a new purchase, he needs to record it into database to reflect the generated plan worked or not.

Slow Intelligence Algorithm If the plan worked, which means we get a lower price or same price. System will continually use the current method to choose a supplier If the plan didn’t work, which means we get a higher price. System will randomly choose another method to choose a supplier

Two Cycles of The algorithm Cycle 1 enumeration: at this cycle, system will in turn use the following 5 algorithms to choose supplier : lowest last purchase price. lowest average purchase price lowest purchase frequency highest purchase frequency lowest price trend change

Two Cycles of The algorithm Cycle 2: elimination – At this Cycle, system will rate the enumerated methods according the purchase results that user recorded, and eliminate bad results. The elimination criteria is how much money each method saved. System will use the method that survived the elimination to generate new purchase plan until such method no longer save money and then go back to cycle 1.

System Diagram Record Purchase Result Compute Purchase Plan Result Cycle 1: enumerate all methods Cycle 2:eliminate bad methods Generate New Plan