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(Ebook PDF) Intermittent Demand Forecasting: Context, Methods and Applications 1st Edition by Aris Syntetos, John Boylan isbn 9781119135302 1119135303 full chapters

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Intermittent Demand Forecasting: Context, Methods and Applications 1st Edition Aris A. Syntetos Digital Instant Download

Author(s): Aris A. Syntetos, John E. Boylan

ISBN(s): 9781119976080, 1119976081

Edition: 1

File Details: PDF, 4.62 MB

Year: 2022

Language: English

SKU: EB-34242444 Category: Biology and other natural sciences Tags: Aris A. Syntetos, John E. Boylan

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(Ebook PDF) Intermittent Demand Forecasting: Context, Methods and Applications 1st Edition by Aris Syntetos, John Boylan -Ebook PDF Instant Download/Delivery:9781119135302, 1119135303

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ISBN 10:1119135303

ISBN 13:9781119135302

Author: John E. Boylan; Aris A. Syntetos

INTERMITTENT DEMAND FORECASTING The first text to focus on the methods and approaches of intermittent, rather than fast, demand forecasting Intermittent Demand Forecasting is for anyone who is interested in improving forecasts of intermittent demand products, and enhancing the management of inventories. Whether you are a practitioner, at the sharp end of demand planning, a software designer, a student, an academic teaching operational research or operations management courses, or a researcher in this field, we hope that the book will inspire you to rethink demand forecasting. If you do so, then you can contribute towards significant economic and environmental benefits. No prior knowledge of intermittent demand forecasting or inventory management is assumed in this book. The key formulae are accompanied by worked examples to show how they can be implemented in practice. For those wishing to understand the theory in more depth, technical notes are provided at the end of each chapter, as well as an extensive and up-to-date collection of references for further study. Software developments are reviewed, to give an appreciation of the current state of the art in commercial and open source software. “Intermittent demand forecasting may seem like a specialized area but actually is at the center of sustainability efforts to consume less and to waste less. Boylan and Syntetos have done a superb job in showing how improvements in inventory management are pivotal in achieving this. Their book covers both the theory and practice of intermittent demand forecasting and my prediction is that it will fast become the bible of the field.” —Spyros Makridakis, Professor, University of Nicosia, and Director, Institute for the Future and the Makridakis Open Forecasting Center (MOFC). “We have been able to support our clients by adopting many of the ideas discussed in this excellent book, and implementing them in our software. I am sure that these ideas will be equally helpful for other supply chain software vendors and for companies wanting to update and upgrade their capabilities in forecasting and inventory management.” —Suresh Acharya, VP, Research and Development, Blue Yonder. “As product variants proliferate and the pace of business quickens, more and more items have intermittent demand. Boylan and Syntetos have long been leaders in extending forecasting and inventory methods to accommodate this new reality. Their book gathers and clarifies decades of research in this area, and explains how practitioners can exploit this knowledge to make their operations more efficient and effective.” —Thomas R. Willemain, Professor Emeritus, Rensselaer Polytechnic Institute.

1 Economic and Environmental Context
1.1 Introduction
1.2 Economic and Environmental Benefits
1.3 Intermittent Demand Forecasting Software
1.4 About this Book
1.5 Chapter Summary
Technical Note
2 Inventory Management and Forecasting
2.1 Introduction
2.2 Scheduling and Forecasting
2.3 Should an Item Be Stocked at All?
2.4 Inventory Control Requirements
2.5 Overview of Stock Rules
2.6 Chapter Summary
Technical Notes
3 Service Level Measures
3.1 Introduction
3.2 Judgemental Ordering
3.3 Aggregate Financial and Service Targets
3.4 Service Measures at SKU Level
3.5 Calculating Cycle Service Levels
3.6 Calculating Fill Rates
3.7 Setting Service Level Targets
3.8 Chapter Summary
Technical Note
4 Demand Distributions
4.1 Introduction
4.2 Estimation of Demand Distributions
4.3 Criteria for Demand Distributions
4.4 Poisson Distribution
4.5 Poisson Demand Distribution
4.6 Incidence and Occurrence
4.7 Poisson Demand Incidence Distribution
4.8 Bernoulli Demand Occurrence Distribution
4.9 Chapter Summary
Technical Notes
5 Compound Demand Distributions
5.1 Introduction
5.2 Compound Poisson Distributions
5.3 Stuttering Poisson Distribution
5.4 Negative Binomial Distribution
5.5 Compound Bernoulli Distributions
5.6 Compound Erlang Distributions
5.7 Differing Time Units
5.8 Chapter Summary
Technical Notes
6 Forecasting Mean Demand
6.1 Introduction
6.2 Demand Assumptions
6.3 Single Exponential Smoothing (SES)
6.4 Croston’s Critique of SES
6.5 Croston’s Method
6.6 Critique of Croston’s Method
6.7 Syntetos–Boylan Approximation
6.8 Aggregation for Intermittent Demand
6.9 Empirical Studies
6.10 Chapter Summary
Technical Notes
7 Forecasting the Variance of Demand and Forecast Error
7.1 Introduction
7.2 Mean Known, Variance Unknown
7.3 Mean Unknown, Variance Unknown
7.4 Lead Time Variability
7.5 Chapter Summary
Technical Notes
8 Inventory Settings
8.1 Introduction
8.2 Normal Demand
8.3 Poisson Demand
8.4 Compound Poisson Demand
8.5 Variable Lead Times
8.6 Chapter Summary
Technical Notes
9 Accuracy and Its Implications
9.1 Introduction
9.2 Forecast Evaluation
9.3 Error Measures in Common Usage
9.4 Criteria for Error Measures
9.5 Mean Absolute Percentage Error and its Variants
9.6 Measures Based on the Mean Absolute Error
9.7 Measures Based on the Mean Error
9.8 Measures Based on the Mean Square Error
9.9 Accuracy of Predictive Distributions
9.10 Accuracy Implication Measures
9.11 Chapter Summary
Technical Notes
10 Judgement, Bias, and Mean Square Error
10.1 Introduction
10.2 Judgemental Forecasting
10.3 Forecast Bias
10.4 The Components of Mean Square Error
10.5 Chapter Summary
Technical Notes
11 Classification Methods
11.1 Introduction
11.2 Classification Schemes
11.3 ABC Classification
11.4 Extensions to the ABC Classification
11.5 Conceptual Clarifications
11.6 Classification Based on Demand Sources
11.7 Forecasting‐based Classifications
11.8 Chapter Summary
Technical Notes
12 Maintenance and Obsolescence
12.1 Introduction
12.2 Maintenance Contexts
12.3 Causal Forecasting
12.4 Time Series Methods
12.5 Forecasting in Context
12.6 Chapter Summary
Technical Notes
13 Non‐parametric Methods
13.1 Introduction
13.2 Empirical Distribution Functions
13.3 Non‐overlapping and Overlapping Blocks
13.4 Comparison of Approaches
13.5 Resampling Methods
13.6 Limitations of Simple Bootstrapping
13.7 Extensions to Simple Bootstrapping
13.8 Chapter Summary
Technical Notes
14 Model‐based Methods
14.1 Introduction
14.2 Models and Methods
14.3 Integer Autoregressive Moving Average (INARMA) Models
14.4 INARMA Parameter Estimation
14.5 Identification of INARMA Models
14.6 Forecasting Using INARMA Models
14.7 Predicting the Whole Demand Distribution
14.8 State Space Models for Intermittence
14.9 Chapter Summary
Technical Notes
15 Software for Intermittent Demand
15.1 Introduction
15.2 Taxonomy of Software
15.3 Framework for Software Evaluation
15.4 Software Features and Their Availability
15.5 Training
15.6 Forecast Support Systems
15.7 Alternative Perspectives
15.8 Way Forward
15.9 Chapter Summary

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(Ebook PDF) Intermittent Demand Forecasting: Context, Methods and Applications 1st Edition by Aris Syntetos, John Boylan isbn 9781119135302 1119135303 full chapters

(Ebook PDF) Intermittent Demand Forecasting: Context, Methods and Applications 1st Edition by Aris Syntetos, John Boylan -Ebook PDF Instant Download/Delivery:9781119135302, 1119135303