Forecasting l and of _______________________ » : use of _______/ mathematical modeling » : _______!

Slides:



Advertisements
Similar presentations
Forecasting OPS 370.
Advertisements

Forecasting Chapter 15.
Forecasting the Demand Those who do not remember the past are condemned to repeat it George Santayana ( ) a Spanish philosopher, essayist, poet.
Operations Management For Competitive Advantage © The McGraw-Hill Companies, Inc., 2001 C HASE A QUILANO J ACOBS ninth edition 1Forecasting Operations.
Qualitative Forecasting Methods
Chapter 13 Forecasting.
Roberta Russell & Bernard W. Taylor, III
FORECASTING. Types of Forecasts Qualitative Time Series Causal Relationships Simulation.
Demand Management and Forecasting. Types of Forecasts Qualitative Time Series Causal Relationships Simulation.
Learning Objectives  Recommend the appropriate forecasting model for a given situation.  Conduct a Delphi forecasting exercise.  Describe.
© 2004 by Prentice Hall, Inc., Upper Saddle River, N.J Operations Management Forecasting Chapter 4.
Copyright 2006 John Wiley & Sons, Inc. Beni Asllani University of Tennessee at Chattanooga Forecasting Operations Chapter 12 Roberta Russell & Bernard.
Forecasting McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.
15-1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Forecasting Chapter 15.
08/08/02SJSU Bus David Bentley1 Course Part 2 Supply and Demand Management.
Slides 13b: Time-Series Models; Measuring Forecast Error
Demand Planning: Forecasting and Demand Management
LSS Black Belt Training Forecasting. Forecasting Models Forecasting Techniques Qualitative Models Delphi Method Jury of Executive Opinion Sales Force.
Samuel H. Huang, Winter 2012 Basic Concepts and Constant Process Overview of demand forecasting Constant process –Average and moving average method –Exponential.
Demand Management and Forecasting
Forecasting Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill.
Chapter 3 Forecasting.
Chapter 16: Time-Series Analysis
Forecasting OPS 370.
Introduction to Management Science
Forecasting Professor Ahmadi.
Operations Management For Competitive Advantage 1Forecasting Operations Management For Competitive Advantage Chapter 11.
MBA.782.ForecastingCAJ Demand Management Qualitative Methods of Forecasting Quantitative Methods of Forecasting Causal Relationship Forecasting Focus.
Operations Research II Course,, September Part 6: Forecasting Operations Research II Dr. Aref Rashad.
Introduction to Forecasting IDS 605 Spring Forecasting 4 A forecast is an estimate of future demand.
1-1 1 McGraw-Hill/Irwin ©2009 The McGraw-Hill Companies, All Rights Reserved.
Time Series Analysis and Forecasting
Forecasting February 26, Laws of Forecasting Three Laws of Forecasting –Forecasts are always wrong! –Detailed forecasts are worse than aggregate.
Forecasting Operations Management For Competitive Advantage.
Demand Management and Forecasting Module IV. Two Approaches in Demand Management Active approach to influence demand Passive approach to respond to changing.
Operations Fall 2015 Bruce Duggan Providence University College.
1 1 Slide Forecasting Professor Ahmadi. 2 2 Slide Learning Objectives n Understand when to use various types of forecasting models and the time horizon.
Forecasting. 預測 (Forecasting) A Basis of Forecasting In business, forecasts are the basis for budgeting and planning for capacity, sales, production and.
Forecasting Chapter 9. Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall Define Forecast.
Maintenance Workload Forecasting
15-1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Forecasting Chapter 15.
1 Chapter 13 Forecasting  Demand Management  Qualitative Forecasting Methods  Simple & Weighted Moving Average Forecasts  Exponential Smoothing  Simple.
Forecasting Chapter 9. Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall9 - 2 Chapter Objectives Be able to:  Discuss the importance.
McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved. 1.
Business Processes Sales Order Management Aggregate Planning Master Scheduling Production Activity Control Quality Control Distribution Mngt. © 2001 Victor.
Welcome to MM305 Unit 5 Seminar Prof Greg Forecasting.
Time Series Analysis and Forecasting. Introduction to Time Series Analysis A time-series is a set of observations on a quantitative variable collected.
Assembly, Distribution, Service l Assembly = l Distribution = l Service =
McGraw-Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved. Demand Management and Forecasting CHAPTER 10.
Forecasting Demand. Forecasting Methods Qualitative – Judgmental, Executive Opinion - Internal Opinions - Delphi Method - Surveys Quantitative - Causal,
DEPARTMENT OF MECHANICAL ENGINEERING VII-SEMESTER PRODUCTION TECHNOLOGY-II 1 CHAPTER NO.4 FORECASTING.
Forecasting is the art and science of predicting future events.
CHAPTER 12 FORECASTING. THE CONCEPTS A prediction of future events used for planning purpose Supply chain success, resources planning, scheduling, capacity.
Forecasting Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill.
3-1Forecasting CHAPTER 3 Forecasting McGraw-Hill/Irwin Operations Management, Eighth Edition, by William J. Stevenson Copyright © 2005 by The McGraw-Hill.
Forecasting Demand. Problems with Forecasts Forecasts are Usually Wrong. Every Forecast Should Include an Estimate of Error. Forecasts are More Accurate.
13 – 1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall. Forecasting 13 For Operations Management, 9e by Krajewski/Ritzman/Malhotra.
To Accompany Russell and Taylor, Operations Management, 4th Edition,  2003 Prentice-Hall, Inc. All rights reserved. Chapter 8 Forecasting To Accompany.
Assignable variation Deviations with a specific cause or source. forecast bias or assignable variation or MSE? Click here for Hint.
McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 3 Forecasting.
Forecas ting Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill.
Welcome to MM305 Unit 5 Seminar Dr. Bob Forecasting.
Welcome to MM305 Unit 5 Seminar Forecasting. What is forecasting? An attempt to predict the future using data. Generally an 8-step process 1.Why are you.
Forecasting Chapter 9.
Supply Chain Management for Non Supply Chain Management Professionals
Demand Management and Forecasting
Forecasting Chapter 15.
Forecasting is an Integral Part of Business Planning
FORECASTING 16-Jan-19 Dr.B.Sasidhar.
FORECASTING 11-Dec-19 Dr.B.Sasidhar.
Presentation transcript:

Forecasting l and of _______________________ » : use of _______/ mathematical modeling » : _______!

Forecasting: l --based on historical records l Records should note: »____ and __________; »meal or hour of service; »special event; »________ conditions

Forecasting Models: Time series 1._________: use on the same menu item over time; take the average of __________ 2._______________: assign a greater weight to the most recent data  α = judgment factor between 0 and 1 (usually 0.3)  If α ~ 1, you will adjust substantially for error in the last forecast; if α ~ 0, the forecasts will be similar New forecast = [α X last demand] + [(1- α) X last forecast]

Forecasting Models: Causal l ___________ analysis »plot data over time »find equation for a line that minimizes the deviations of the independent variable(s) »independent variable(s) = ____________________ »dependent variable = __________________ 1.linear regression 2.multiple regression

Forecasting Models: Subjective l _______________ »use when data are ________ or patterns change ________ over time 1.Delphi technique 2.Panel consensus 3.Market research 4.Historical analogy 5.Visionary forecast

Criteria for Use of a Forecasting Model l _____________ »software, training l _________ l _________ of past data »is there a clear relationship between past and present needs? l pattern of behavior you need to chart l _________

Production Scheduling l Time ________________ to produce a meal l Assign responsibility for menu item production to appropriate units; distribute needed quantities of product

Worksheet indicates: l *actual ____, *________ count l *over/under production, *runout time; ___________ l *weather, *comments

Production Scheduling l Consider ____________ »vegetables »grilled, deep fried, broiled items l Hold production meetings to discuss:

How much labor? l 1 server can handle _____ tables l 1 bartender can serve _____ patrons l 1 chef can cook for a _____- seat restaurant l Remember seasonal variation, school calendars, special events l These estimates might be all wrong for your operation!