Tag: Forecasting

January 1, 2024

Service Parts Management Demand Forecasting and Inventory Control

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Free Download Service Parts Management: Demand Forecasting and Inventory Control by Nezih Altay, Lewis A. Litteral
English | PDF (True) | 2011 | 315 Pages | ISBN : 085729038X | 4.9 MB
With the pressure of time-based competition increasing, and customers demanding faster service, availability of service parts becomes a critical component of manufacturing and servicing operations. Service Parts Management first focuses on intermittent demand forecasting and then on the management of service parts inventories. It guides researchers and practitioners in finding better management solutions to their problems and is both an excellent reference for key concepts and a leading resource for further research. Demand forecasting techniques are presented for parametric and nonparametric approaches, and multi echelon cases and inventory pooling are also considered. Inventory control is examined in the continuous and periodic review cases, while the following are all examined in the context of forecasting: * error measures, * distributional assumptions, and * decision trees. Service Parts Management provides the reader with an overview and a detailed treatment of the current state of the research available on the forecasting and inventory management of items with intermittent demand. It is a comprehensive review of service parts management and provides a starting point for researchers, postgraduate students, and anyone interested in forecasting or managing inventory.

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December 25, 2023

Time-Series Sales Forecasting And Prediction Using Machine Learning With Tkinter

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Free Download Time-Series Sales Forecasting And Prediction Using Machine Learning With Tkinter
English | 2023 | ASIN : B0CJNXJ61X | 344 Pages | True EPUB | 17 MB
This project leverages the power of data visualization and exploration to provide a comprehensive understanding of sales trends over time. Through an intuitive GUI built with Tkinter, users can seamlessly navigate through various aspects of their sales data.

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September 28, 2023

Recent Advances in Modeling and Forecasting Kaiyu

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Free Download Recent Advances in Modeling and Forecasting Kaiyu: Tools for Predicting and Verifying the Effects of Urban Revitalization Policy by Saburo Saito, Kenichi Ishibashi, Kosuke Yamashiro
English | PDF EPUB (True) | 2023 | 620 Pages | ISBN : 9819912407 | 126 MB
This book is the first comprehensive presentation of a Kaiyu Markov model with covariates and a multivariate Poisson model with competitive destinations. These two models are core techniques when the authors and colleagues conduct their Kaiyu studies. The two models are usually used to forecast the effects of specific urban redevelopment on both the number of visitors and consumer shop-around or Kaiyu movements. Their Kaiyu studies originated from the constructions of a Kaiyu Markov model and the disaggregated hierarchical decision Huff model almost simultaneously around the early 1980s. This book retrospectively reviews how these models have evolved from the start to the present state, and previews the ongoing efforts to make further extensions of these models. The extension of the Huff model started from the disaggregated hierarchical decision Huff model with shop-arounds. In retrospect, the model formulated the consumer’s simultaneous choice of destinations as a joint probability. The mechanism to determine this joint probability was a recursive conditional probability system. Now the Huff model has shifted from joint probability to multivariate frequency Poisson with competitive destinations. On the other hand, the Kaiyu Markov model started from a descriptive model. Because it cannot forecast changes in shop-arounds or consumer Kaiyu behaviors, the Kaiyu Markov model with covariates was developed in which entrance and shop-around choice probabilities are explained by the respective two logit models with covariates such as distances and shop-floor areas. The noticeable point is that it can explain consumers’ probability of quitting their shop-arounds. Thus, the model enables one to evaluate the effects of urban revitalization policy that promotes consumers’ shop-arounds or Kaiyu behaviors. Furthermore, if the Kaiyu Markov model can estimate the actual numbers of flows of consumers’ shop-arounds among shopping sites, the corresponding money flows also can be estimated as economic effects. This book discusses from scratch the evolution of all these topics. Thus this book provides the basics of the Kaiyu Markov model, a tutorial for the theory and estimation of the conditional logit model, and a chapter serving as a practical research manual for forecasting changes caused by urban development based on consumers’ Kaiyu behaviors.

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