rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Retail Analytics
    sub title: Integrated Forecasting and Inventory Management for Perishable Products in Retailing
  name:
    name part: Sachs, Anna-Lena.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 111 p. 14 illus. online resource.
  abstract: 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. The book subsequently demonstrates the benefits of this new approach in numerical studies that utilize real data collected at a large European retail chain. Furthermore, the book derives an optimal inventory policy for a multi-product setting in which the decision-maker faces an aggregated service level target, and analyzes whether the decision-maker is subject to behavioral biases based on real data for bakery products.
  table of contents: Introduction -- Literature Review -- Safety Stock Planning under Causal Demand Forecasting -- The Data-Driven Newsvendor with Censored Demand Observations -- Data-Driven Order Policies with Censored Demand and Substitution -- Empirical Newsvendor Decisions under a Service Contract -- Conclusions.
  note: by Anna-Lena Sachs.
  subject:
    topic: Business
  subject:
    topic: Production management
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Sales management
  subject:
    topic: Management science
  subject:
    topic: Business and Management
  subject:
    topic: Operations Management
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Sales/Distribution
  classification: TS155-TS194
  classification: 658.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Economics and Mathematical Systems, 680
  identifier: 9783319133058
  identifier: http://dx.doi.org/10.1007/978-3-319-13305-8
  record info:
    record creation date: 141210
    record change date: 20151204175223.0
    record identifier: 978-3-319-13305-8