Bataan Peninsula State University

Retail Analytics (Record no. 14126)

MARC details
000 -LEADER
fixed length control field 04309nam a2200277 a 4500
001 - CONTROL NUMBER
control field 44977
003 - CONTROL NUMBER IDENTIFIER
control field 0000000000
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240411193143.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210704n s 000 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2014958011
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-3-319-13304-1
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0075-8442
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Sachs, Anna-Lena.
245 10 - TITLE STATEMENT
Title Retail Analytics
Medium [electronic resource] :
Remainder of title Integrated Forecasting and Inventory Management for Perishable Products in Retailing /
Statement of responsibility, etc. Anna-Lena Sachs.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cham :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. 2015.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource.
490 1# - SERIES STATEMENT
Series statement Lecture notes in economics and mathematical systems ;
Volume/sequential designation 680
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Abstract; Acknowledgements; Contents; List of Tables; List of Figures; Acronyms; 1 Introduction; 1.1 Motivation; 1.2 Problem Statement; 1.3 Outline; 2 Literature Review; 2.1 Unobservable Lost Sales; 2.2 Assortment Planning; 2.3 Assortment Planning with Stockout-Based Substitution; 2.4 Stockout-Based Substitution in a Fixed Assortment; 2.5 Joint Pricing and Inventory Planning with Substitution; 2.6 Behavioral Operations Management; 3 Safety Stock Planning Under Causal Demand Forecasting; 3.1 Introduction; 3.2 Safety Stock Basics and Least Squares Estimation; 3.2.1 The Single-Variable Case. 3.2.2 The Multi-Variable Case3.2.3 Violations of Ordinary Least Squares Assumptions; 3.3 Data-Driven Linear Programming; 3.3.1 The Cost Model; 3.3.2 The Service Level Model; 3.4 Numerical Examples; 3.4.1 Sample Size Effects; 3.4.2 Violations of OLS Assumptions; 3.4.3 Real Data; 3.5 Conclusions; 4 The Data-Driven Newsvendor with CensoredDemand Observations; 4.1 Introduction; 4.2 Related Work; 4.3 Data-Driven Model with Unobservable Lost Sales Estimation; 4.3.1 Cost Model; 4.3.2 Benchmark Approaches; 4.4 Numerical Examples; 4.4.1 The Normal Distribution; 4.4.2 The Negative Binomial Distribution. 4.4.3 Sample Size Effects4.4.4 Real Data; 4.5 Conclusions; 5 Data-Driven Order Policies with Censored Demand and Substitution in Retailing; 5.1 Motivation; 5.2 Related Work; 5.3 Model; 5.3.1 Data; 5.3.2 Decisions; 5.3.3 Objective Function; 5.3.4 Known Demand with Stockout Observations of One Product; 5.3.5 Censored Demand; 5.4 Numerical Study and Empirical Analysis; 5.4.1 Benchmark to Estimate Arrival Rates and Substitution Probabilities; 5.4.2 Optimal Solution; 5.4.3 Data Generation; 5.5 Results; 5.5.1 Known Demand with Stockout Observations of One Product. 5.5.2 Censored Demand with Stockout Observations of One Product5.5.3 Censored Demand with Stockout Observations of Both Products; 5.5.4 Real Data; 5.6 Conclusions; 6 Empirical Newsvendor Decisions Under a Service Level Contract; 6.1 Introduction; 6.2 The Setting; 6.2.1 Data Overview; 6.3 Modeling Demand; 6.4 Normative Decision Model; 6.4.1 Product-Specific Service Level; 6.5 Empirical Analysis; 6.5.1 Expected Profit Maximization; 6.5.2 Alternative Decision Models; 6.5.3 Comparison of Alternative Decision Models with the Empirical Retailer; 6.6 Additional Behavioral Aspects of Decision Making. 6.6.1 Anchoring and Adjustment6.6.2 Minimizing Ex-Post Inventory Error; 6.6.3 Order Adaptation and Demand Chasing; 6.7 Value of Product Characteristics: Managerial Insights; 6.8 Conclusions; 7 Conclusions; 7.1 Summary; 7.2 Limitations and Future Research Directions; Bibliography.
520 ## - SUMMARY, ETC.
Summary, etc. This book addresses the challenging task of demand forecasting and inventory management in retailing. It analyzes how information from point-of-sale scanner systems can be used to improve inventory decisions, and develops a data-driven approach that integrates demand forecasting and inventory management for perishable products, while taking unobservable lost sales and substitution into account in out-of-stock situations. Using linear programming, a new inventory function that reflects the causal relationship between demand and external factors such as price and weather is proposed.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Business logistics
General subdivision Management.
Source of heading or term sears
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Retail trade
General subdivision Forecasting.
Source of heading or term sears
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Retail trade
General subdivision Management.
Source of heading or term sears
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/file/d/1_H1D3o_C92UUsW1oPQUIDgejxtN5pYoG/view?usp=sharing">https://drive.google.com/file/d/1_H1D3o_C92UUsW1oPQUIDgejxtN5pYoG/view?usp=sharing</a>
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Inventory number Full call number Barcode Date last seen Price effective from Koha item type
        Balanga Library Balanga Library E-Resources   1 658.5 EBC00216 03/07/2024 03/07/2024 E-Resources
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