Applying deep learning to the newsvendor problem

Article Properties
  • Language
    English
  • DOI (url)
    10.1080/24725854.2019.1632502
  • Publication Date
    2019/08/05
  • Journal
    IISE Transactions
  • Indian UGC (journal)
  • Refrences
    31
  • Citations
    56
  • Afshin Oroojlooyjadid Industrial & Systems Engineering, Lehigh University, Bethlehem, PA, USA
  • Lawrence V. Snyder Industrial & Systems Engineering, Lehigh University, Bethlehem, PA, USA
  • Martin Takáč Industrial & Systems Engineering, Lehigh University, Bethlehem, PA, USA
Journal Categories
Technology
Engineering (General)
Civil engineering (General)
Technology
Manufactures
Production management
Operations management
Technology
Technology (General)
Industrial engineering
Management engineering
Technology
Technology (General)
Industrial engineering
Management engineering
Information technology
Refrences
Title Journal Journal Categories Citations Publication Date
10.1002/9781119584445 2019
10.1002/9781119584445 Journal of Machine Learning Research
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2012
10.1515/9781503619883 2002
10.1515/9781503619883 1888
Time Series Analysis and Its Applications: With R Examples 2010
Citations
Title Journal Journal Categories Citations Publication Date
Hybrid convolutional long short‐term memory models for sales forecasting in retail

 Journal of Forecasting
  • Social Sciences: Economic theory. Demography: Economics as a science
  • Social Sciences: Commerce: Business: Personnel management. Employment management
  • Social Sciences: Commerce: Business
  • Social Sciences: Commerce: Business
  • Social Sciences: Economic theory. Demography: Economics as a science
 2024
Bilevel optimization for feature selection in the data-driven newsvendor problem European Journal of Operational Research
  • Technology: Manufactures: Production management. Operations management
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Engineering (General). Civil engineering (General)
 1 2024
A survey of contextual optimization methods for decision-making under uncertainty European Journal of Operational Research
  • Technology: Manufactures: Production management. Operations management
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Engineering (General). Civil engineering (General)
 1 2024
Renewable GenCo bidding strategy using newsvendor-based neural networks: An example from Turkish electricity market Electric Power Systems Research
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
 2024
Retail store-SKU level replenishment planning with attribute-space graph recurrent neural networks Expert Systems with Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Manufactures: Production management. Operations management
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 2024
Citations Analysis
Category Category Repetition
Technology: Manufactures: Production management. Operations management24
Technology: Engineering (General). Civil engineering (General)21
Technology: Technology (General): Industrial engineering. Management engineering17
Technology: Technology (General): Industrial engineering. Management engineering: Information technology9
Social Sciences: Commerce: Business: Personnel management. Employment management8
Social Sciences: Commerce: Business7
Social Sciences: Economic theory. Demography: Economics as a science7
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics7
Science: Mathematics: Instruments and machines: Electronic computers. Computer science6
Technology: Manufactures6
Technology: Mechanical engineering and machinery5
Social Sciences: Industries. Land use. Labor: Management. Industrial management4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks4
Science: Mathematics3
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Technology: Mechanical engineering and machinery: Renewable energy sources1
Geography. Anthropology. Recreation: Environmental sciences1
Technology: Environmental technology. Sanitary engineering1
Science: Biology (General): Ecology1
Technology: Electrical engineering. Electronics. Nuclear engineering1
Science: Science (General): Cybernetics: Information theory1
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication1
Social Sciences: Finance1
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
Bibliography. Library science. Information resources1
Bibliography. Library science. Information resources: Information resources (General)1
Social Sciences1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
Law: Law in general. Comparative and uniform law. Jurisprudence: Comparative law. International uniform law: Regulation of industry, trade, and commerce. Occupational law: Transportation and communication1
Social Sciences: Transportation and communications1
The category Technology: Manufactures: Production management. Operations management 24 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Data-Driven Inventory Management: Integrated Estimation and Optimization and was published in 2018. The most recent citation comes from a 2024 study titled Taylor Approximation of Inventory Policies for One-Warehouse, Multi-Retailer Systems with Demand Feature Information. This article reached its peak citation in 2023, with 24 citations. It has been cited in 31 different journals, 12% of which are open access. Among related journals, the SSRN Electronic Journal cited this research the most, with 14 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year