Printed from https://ideas.repec.org/s/for/ijafaa2.html
Content
2021, Issue 60
- 16-17 Commentary: Managing FVA
by Robert Fildes - 18-19 Commentary: Another Role for ML in Forecasting
by Michael Gilliland - 20-24 A Peek at the Next Century: Population Projections to 2100 and Their Economic and Geopolitical Consequences
by Ira Sohn - 28-32 Can We Profit from Trading on Predictions of High-Low Stock Prices?
by Clive Jones - 33-37 The M5 Competition and the Future of Human Expertise in Forecasting
by Spyros Makridakis & Evangelos Spiliotis - 38-38 Commentary: We'll Still Need Expertise
by Stephan Kolassa - 39-39 Commentary: Will the Value of Forecasting Knowledge and Experience Diminish?
by Simon Clarke - 40-41 Commentary: The M5 Competition: A Critical Appraisal
by Tim Januschowski & Jan Gasthaus & Yuyang Wang - 42-42 Commentary: The M5 and the Future Role of Expertise
by Michael Gilliland - 43-43 Commentary: Academicians and Practitioners Will Thrive
by Lawrence Vanston - 44-44 Reply to the Commentaries
by Spyros Makridakis & Evangelos Spiliotos - 45-48 The UFO Project: Initial Survey Results
by Jim Hoover & UFO Project Team
2020, Issue 59
- 5-15 A Modern Retail Forecasting System in Production
by Phillip Yelland - 16-19 Commentary: It's the Soft Problems that Are Hard to Overcome
by Simon Clarke - 20-25 Response to Commentary of Simon Clarke
by Phillip Yelland & Zeynep Erkin Baz - 29-31 After Shock: The World's Foremost Futurists Reflect on 50 Years of Future Shock
by Ira Sohn - 32-37 Dealing with "Deepfakes": How Synthetic Media Will Distort Reality, Corrupt Data, and Impact Forecasts
by John Wood & Nada Sanders - 38-44 U.S. Presidential Election Forecasting: The Economist Model
by Colin Lewis-Beck & Michael Lewis-Beck - 45-56 The Benefits of Systematic Forecasting for Organizations: The UFO Project
by Spyros Makridakis & Ellen Bonnell & Simon Clarke & Robert Fildes & Mike Gilliland & Jim Hoover & Len Tashman
2020, Issue 58
- 4-6 Hello World: How to Be Human in the Age of the Machine by Hannah Fry
by Shari De Baets - 7-14 How to Choose among Three Forecasting Methods: Machine Learning, Statistical Models, and Judgmental Forecasts
by Yue Li & Diane Berry & Jason Lee - 15-16 Commentary on "How to Choose among Three Forecasting Methods: Machine Learning, Statistical Models, and Judgmental Forecasts"
by Stephan Kolassa - 17-23 The M5: A Preview from Prior Competitions
by Casper Bojer & Jens Peder Meldgaard - 27-35 Medical Errors in the Age of the Intelligent Machine
by Michael Tremblay - 36-41 How Stagger Charts Can Improve Forecast Accuracy
by Agneta Ramosaj & Marino Widmer - 42-42 Commentary: Another Use of the Stagger Chart
by Mike Gilliland - 43-48 Technology Support in Business Planning: Automation, Augmentation, and Human Centricity
by Niels van Hove
2020, Issue 57
- 5-10 The M4 Forecasting Competition-Takeaways for the Practitioner
by Michael Gilliland - 11-12 Commentary: The M4 Competition and a Look to the Future
by Fotios Petropoulos - 13-18 Will Deep and Machine Learning Solve Our Forecasting Problems?
by Stephan Kolassa - 19-20 Interview with Tim Januschowski, Manager, Machine Learning Science at Amazon Web Services
by Len Tashman - 21-23 Two Cheers for Rebooting AI: Building Artificial Intelligence We Can Trust
by Stephan Kolassa - 27-38 Developing a Modern Retail Forecasting System: People and Processes
by Phillip Yelland & Zeynep Erkin Baz - 39-45 Environmental Conundrum-Projections to 2050
by Ira Sohn
2020, Issue 56
- 7-9 Could These Recent Findings Improve Your Judgmental Forecasts?
by Paul Goodwin - 10-17 Operations decisions in circular economic contexts, like remanufacturing, face dual uncertainties. They not only rely on demand forecasts but also on forecasts of returned items. It is net demand (demand minus returns) that drives replenishment. So how does this dual-source uncertainty affect the forecasting task? In this article, Thanos and Aris discuss the circular economy and the challenges of forecasting returns in a remanufacturing context. They show that serialization, the ability to link the timing of returns and sales, can substantially improve forecasts of returns, and hence of net demand
by Thanos Goltsos & Aris SyntetoS - 18-19 Commentary: Why Is Forecasting for Remanufacturing Hard?
by Ram Ganeshan - 20-25 Monitoring Forecast Models Using Control Charts
by Joseph H. Katz - 30-35 Smarter Supply Chains through AI
by Duncan Klett - 36-45 Strategic IBP: Driving Profitable Growth in Complex Global Organizations
by Dean Sorensen - 46-47 Commentary on Strategic IBP
by Pete Alle - 48-48 Response to Pete Alle's Commentary
by Dean Sorensen
2019, Issue 55
- 10-18 Forecasting at Scale: The Architecture of a Modern Retail Forecasting System
by Phillip Yelland & Zeynep Erkin Baz & David Serafini - 19-19 Interview with Dr. Phillip Yelland
by Foresight Staff - 20-26 Open-Source Forecasting Tools in Python
by Tim Januschowski & Jan Gasthaus & Yuyang Wang - 31-34 Autonomous or "Lights Out" Supply-Chain Planning: What New Technology Is Required
by Niels van Hove - 35-38 Commentary: Close the Loop, Stabilize, and Respond
by Stefan De Kok - 39-42 Book review of Forecasting: An Essential Introduction
by Michael Gilliland - 43-47 Continual Learning: The Next Generation of Artificial Intelligence
by Daniel G. Philps
2019, Issue 54
- 4-10 Judgmental Model Selection
by Fotios Petropoulos - 11-12 Commentary: A Surprisingly Useful Role for Judgment
by Paul Goodwin - 13-14 Commentary: Algorithmic Aversion and Judgmental Wisdom
by Nigel Harvey - 15-16 Commentary: Model Selection in Forecasting Software
by Eric Stellwagen - 17-17 Commentary: Exploit Information from the M4 Competition
by Spyros Makridakis - 18-20 Book Review: Data Science for Supply Chain Forecast, by Nicolas Vandeput
by Shaun Snapp - 21-25 State Space Modeling for Practitioners
by Diego Pedregal - 29-36 Benefits and Challenges of Corporate Prediction Markets
by Thomas Wolfram - 37-37 Interview with Thomas Wolfram
by Len Tashman - 38-43 Why Is It So Hard to Hold Anyone Accountable for the Sales Forecast?
by Chris Gray - 44-48 Communicating the Forecast: Providing Decision Makers with Insights
by Alec Finney
2019, Issue 53
- 5-7 Will You Become a Victim of Your Models?
by Thomas R. Willemain - 8-9 Commentary: The More Basic Questions for Forecasting the Supply Chain
by Chris Gray - 10-11 Commentary: Love and Disdain for Forecasting Models
by Paul Goodwin - 12-12 Commentary: Models Are Easy to Abuse
by David Orrell - 13-14 Commentary: The Benefits of Advanced Modeling Techniques
by Henry Canitz - 15-16 Commentary: Testing Models Is Critical
by John Boylan & Aris Syntetos - 17-18 Will You Become a Victim of Your Models? Response to Comments
by Thomas R. Willemain - 19-25 The Ten Commandments of Economic Forecasting
by Azhar Iqbal & John Silvia - 28-30 Medical Science and Practice: Does Anyone Want to Fix Them?
by John P. A. Ioannidis - 31-32 Medicine and Risk Transfer
by Nassim Nicholas Taleb - 33-38 Monetized Forecast-Error Comparisons
by Shaun Snapp - 39-45 Forecasting the Impact of Artificial Intelligence: Another Voice
by Lawrence Vanston - 46-47 Response to Lawrence Vanston
by Spyros Makridakis - 48-48 Interview with Lawrence Vanston, President, Technology Futures, Inc
by Foresight Editor
2019, Issue 52
- 5-6 The Little (Illustrated) Book of Operational Forecasting
by Simon Clarke - 7-10 Scenarios and Forecasts: Complementary Ways of Anticipating the Future?
by Paul Goodwin - 11-19 Forecasting the Future of Retail Forecasting
by Stephan Kolassa - 20-21 Interview with Stephan Kolassa, Foresight Associate Editor
by Foresight Editor - 22-23 Commentary on "Forecasting the Future of Retail Forecasting"
by Brian Seaman - 28-35 Predicting Medical Risks and Appreciating Uncertainty
by Spyros Makridakis & Ann Wakefield & Richard Kirkham - 36-43 A Classification of Business Forecasting Problems
by Tim Januschowski & Stephan Kolassa - 44-47 Commentary on Spyros Makridakis's article "Forecasting the Impact of Artificial Intelligence"
by Owen Davies
2018, Issue 51
- 1-16 Interview with Matthias Luetke Entrup and Dennis Goetjes
by Foresight Editor - 5-7 Book Review of Profit from Your Forecasting Software: A Best-Practice Guide for Sales Forecasters, by Paul Goodwin
by Fotios Petropoulos - 8-15 A Blueprint for Selecting and Implementing a Forecasting Support System: Part 2
by Matthias Luetke Entrup & Dennis Goetjes - 17-23 Warning Signs for Forecasting Consumer-Induced Shortages
by John Mello & Melodie Philhours & Katie Hill - 24-31 The State of New-Product Forecasting
by Kenneth B. Kahn & Charles W. Chase - 36-41 Forecasting the Impact of Artificial Intelligence, Part 5: The Emerging and Long-Term Future
by Spyros Makridakis - 42-47 Deep Learning for Forecasting: Current Trends and Challenges
by Tim Januschowski & Jan Gasthaus & Yuyang Wang & Syama Sundar Rangapuram & Laurent Callot
2018, Issue 50
- 4-9 Part 4 of 5: Blockchain (BC) Technology, the Integration of BC and AI, and the Road to Intelligence Augmentation (IA)
by Spyros Makridakis - 10-18 A Blueprint for Selecting and Implementing a Forecasting Support System Abstract: Small and Medium-sized Enterprises (SME) have lagged behind their larger counterparts in the adoption of suitable forecasting support systems (FSS)-our generic label for demand-planning systems and other decision-support tools. Here, Matthias L?tke Entrup and Dennis Goetjes lay out a structured process to assist the SME to identify, select, and implement a system that meets the SME's particular requirements and fulfills its potential. Copyright International Institute of Forecasters, 2018
by Matthias Lutke Entrup & Dennis Goetjes - 19-24 How Big Data Could Challenge Planning Processes across the Supply Chain
by TonyaBoone & Ram Ganeshan & Nada Sanders - 26-28 S&OP Vision, Culture, and Language: Commentary on "Misconceptions, Missteps, and Bad Practices in S&OP" (published in Foresight issues 46, 47, 48)
by Niels van Hove - 29-30 A Cautionary Tale from a Former Operations Planner: Commentary on "Misconceptions, Missteps, and Bad Practices in S&OP" (published in Foresight issues 46, 47, 48)
by John E, Mello - 35-41 Deep Learning for Forecasting
by Tim Januschowski & Jan Gasthaus & Yuyang Wang & Syama Sundar Rangapuram & Laurent Callot - 42-48 Outcome Prediction in the Practice of Law
by Mark K. Osbeck & Michael Gilliland
2018, Issue 49
- 1-46 Interview with Dr. Can Eksoz
by Foresight - 6-10 Choosing and Achieving a Target Service Level
by Thomas R. Willemain - 11-17 How Should a Company Set Service Levels? Perception vs. Reality
by Shaun Snapp - 18-27 Forecasting the Impact of Artificial Intelligence, Part 3 of 4: The Potential Effects of AI on Businesses, Manufacturing, and Commerce
by Spyros Makridakis - 33-38 The Future of Work in the United States: Projections of Occupational Employment to 2026
by Ira Sohn - 39-45 Bridging the Distributor into a Collaborative Demand-and-Supply Planning Process
by Can Eksoz & Dilek Onkal
2018, Issue 48
- 5-6 The M4 Competition, Interview with Spyros Makridakis
by Foresight - 7-12 Forecasting the Impact of Artificial Intelligence (AI), Part 2 of 4: Examining Four Scenarios of Possibility
by Spyros Makdridakis - 13-16 How to Respond to a Forecasting Sceptic
by Paul Goodwin - 17-18 Review of Forewarned: A Sceptic's Guide to Prediction
by Oliver Schaer & Simon Spavound - 24-30 Incorporating Leading Indicators into Sales Forecasts
by Nikolaos Kourentzes & Yves Sagaert - 31-33 Principles of Business Forecasting: Review of the 2nd Edition
by Stephan Kolassa - 34-42 Misconceptions, Missteps, and Bad Practices in S&OP, Part 3: Automating at the Expense of Judgment and Accountability
by Chris Gray & John Dougherty - 43-48 Beware of Standard Prediction Intervals for Causal Models
by Len Tashman
2017, Issue 47
- 1-14 Interview with Spyros Makridakis
by Foresight - 4-6 Forecasting the Impact of Artificial Intelligence: An Introduction
by Owen Davies - 7-13 Forecasting the Impact of Artificial Intelligence (AI)
by Spyros Makridakis - 15-18 Forecasting After a Fashion
by Paul Goodwin - 19-24 Predicting the Uptake Curve of New Drugs
by Christian Schafer & Stephan Brebeck - 31-36 Principles, Benefits, and Pitfalls of Vendor-Managed Inventory
by John Mello - 37-44 Misconceptions, Missteps, and Bad Practices in S&OP? Part 2
by Chris Gray & John Dougherty - 45-48 Do Companies Really Need Software for S&OP?
by Bill Tonetti
2017, Issue 46
- 1-46 Interview with Stefan de Kok
by Foresight - 4-10 Misconceptions, Missteps, and Bad Practices in S&OP
by Chris Gray & John Dougherty - 11-17 The Theta Method
by Fotios Petropoulos & Konstantinos Nikolopoulos - 18-24 Longevity: Blessing or Curse?
by Ira Sohn - 31-35 Communicating Forecasts to the C-Suite: A Six-Step Survival Guide
by Todd Tomalak - 36-45 The Quest for a Better Forecast Error Metric: Measuring More than the Average Error
by Stefan de Kok
2017, Issue 45
- 1-29 Interview with Shaun Snapp
by Foresight Editor - 5-9 Earnings Forecasts: The Bias Is Back
by Roy Batchelor - 10-14 Is Big Data the Silver Bullet for Supply-Chain Forecasting?
by Shaun Snapp - 15-19 Commentary: Becoming Responsible Consumers of Big Data
by Chris Gray - 20-21 Commentary: Customer vs. Item Forecasting
by Michael Gilliland - 22-23 Commentary: Big Data or Big Hype?
by Stephan Kolassa - 24-26 Commentary: Big Data, a Big Decision
by Niels van Hove - 27-28 Commentary: Big Data and the Internet of Things
by Peter Catt - 38-42 Prediction Market Performance in the 2016 U.S. Presidential Election
by Andreas Graefe - 43-48 How to Shape a Company Culture with S&OP
by Niels van Hove - 49-50 Commentary on "How to Shape a Company Culture with S&OP": Building and Maintaining Trust
by M. Sinan Gonul
2017, Issue 44
- 1-22 Book review of "Demand Forecasting for Managers"
by Stephanie Globus - 5-8 Collaborative Forecasting: Is It Always Worth It?
by Paul Goodwin - 9-19 Recoupling the Forecasting and Stock-Control Processes
by Steve Morlidge & Aris Syntetos - 20-21 Book Review of "Demand Forecasting for Managers"
by Aris Syntetos - 29-35 Changing the Paradigm for Business Forecasting
by Michael Gilliland - 36-38 Commentary on "Changing the Paradigm for Business Forecasting"
by David Orrell - 39-46 Research into Forecasting Practice
by Robert Fildes - 47-48 Commentary on "Research into Forecasting Practice"
by Thomas R. Willemain
2016, Issue 43
- 4-11 The Impact of Strategy on Supply Chain and Forecasting
by Bram Desmet - 12-18 Forecast Process Improvement at Shell Lubricants
by Alex Hancock - 25-31 Achieving S&OP Success: How Principles of Team Effectiveness Can Help
by Scott Ambrose - 32-37 Mission-Based Forecasting: Demand Forecasting for Military Operations
by Greg H. Parlier - 38-41 Sales Forecasts for the Consumer Chain: Are We Kidding Ourselves?
by Joe Roy - 42-48 Off-the-Shelf vs. Customized Forecasting Support Systems
by Evangelos Spiliotis & Achilleas Raptis & Vassilios Assimakopoulos
2016, Issue 42
- 1-11 Interview with Niels van Hove
by Len Tashman - 5-10 An S&OP Communication Plan: The Final Step in Support of Company Strategy
by Niels van Hove - 12-17 Step Aside, Climate Change - Get Ready for Mass Unemployment
by Ira Sohn - 24-25 Forecasting: Academia versus Business
by Sujit Singh - 26-29 Commentary: It Takes Two to Tango
by John E. Boylan & Aris A. Syntetos - 30-32 Commentary: Academic Frameworks for Practitioner Use
by Paul Goodwin - 33-34 Commentary: Refocusing Forecasting Research
by Michael Gilliland - 35-36 Commentary: Research Needed on Advisory Forecasts
by John Mello & Joseph Roy - 37-39 Commentary: Two Sides of the Same Coin
by Fotios Petropoulos & Nikolaos Kourentzes - 40-41 Commentary: The End vs. the Means
by Steve Morlidge - 42-43 Commentary: The Incentives Gap
by Alex Hancock - 44-47 Commentary: That Feeling for Randomness
by Stephan Kolassa
2016, Issue 41
- 1-45 Interview with Mark Blessington
by Foresight Staff - 4-6 Econs vs. Humans: Which Are We? Book Review of Misbehaving: The Making of Behavioral Economics by Richard H. Thaler
by Len Tashman - 7-9 Misbehaving Agents
by Paul Goodwin - 10-13 Misbehaviour in Forecasting Financial Markets
by Roy Batchelor - 14-17 Toward a More Rational Forecasting Process: Eliminating Sales-Forecasting Misbehaviors
by John Mello - 18-19 Misbehaving, Misdesigning, and Miscommunicating
by Kostas Nikolopoulos & Fotio Petropolous - 26-34 Overcoming Barriers to Improving Forecast Capabilities
by Henry Canitz - 35-36 Beyond S&OP and IBP to Enterprise Planning and Performance Management: A Commentary on the Need for New Technology
by Nari Viswanathan - 37-44 Using Error Analysis to Improve Forecast Performance
by Steve Morlidge - 46-47 Forecasting: Academia versus Business
by Sujit Singh
2016, Issue 40
- 1-37 Interview with Dean Sorensen
by Foresight Editors - 8-11 Superforecasting: The Art and Science of Predicting by Philip E. Tetlock and Dan Gardner
by Steve Morlidge - 12-19 Bias-Variance Trade-offs in Demand Forecasting
by Konstantinos Katsikopoulos & Aris Syntetos - 20-26 Sometimes It's Better to Be Simple than Correct
by Stephan Kolassa - 27-36 Beyond S&OP and IBP to Enterprise Planning and Performance Management
by Dean Sorensen - 44-49 Sales Quota Accuracy and Forecasting
by Mark Blessington - 50-56 TechCast's Top Ten Forecasts
by Owen Davies & William Halal
2015, Issue 39
- 1-40 Forecaster in the Field: Interview with Jack Harwell
by Foresight Staff - 1-41 Forecaster in the Field: Interview with Neill Wallace
by Foresight Interviewer - 5-11 Forecasting Support Systems: Ways Forward
by Fotios Petropoulos - 12-13 Commentary #1: Technology, Databases, Statistics, and Processes
by Stephan Kolassa - 14-15 Commentary #2: Where Is the Support for Judgment?
by Paul Goodwin - 16-17 Commentary #3: Just Don't Do the Stupid Stuff!
by Mike Gilliland - 18-19 Commentary #4: The Corporate Backbone of an FSS
by Eric Stellwagen - 20-21 Commentary #5: A Productive Triangulation
by Igor Gusakov - 22-23 Commentary #6: Commentary: The Way to Go
by Daniele Amberti - 31-35 Collaborative Culture: The New Workplace Reality
by Neill Wallace & John Mello - 36-39 An Executive Guide to Hiring Successful Demand Planners
by Jack Harwell - 42-43 Review of Forecasting for the Pharmaceutical Industry, 2nd ed
by Christian Schafer
2015, Issue 38
- 1-37 Interview with Pete Alle
by Foresight Interviewer - 5-8 When Forecasting in the Supply Chain Gets Tough
by Paul Goodwin - 9-14 Incorporating Google Trends Data Into Sales Forecasting
by Tonya Boone & Ram Ganeshan & Robert L. Hicks - 15-20 A Better Way to Assess the Quality of Demand Forecasts
by Steve Morlidge - 25-30 Practical Considerations in Forecast Value Added (FVA) Analysis
by Harpal Singh & Sanjiv Raman & Eric Wilson - 31-36 Judgmental Adjustments to Forecasts in the New Economy
by Manzoor Chowdhury & Sonia Manzoor - 38-44 Three Cheers for GDP?Warts and All!
by Ira Sohn
2015, Issue 37
- 1-46 Interview with Fotios Petropoulos
by Foresight Editor Len Tashman