NAICS Code 541714-05 - Operations Research

Marketing Level - NAICS 8-Digit

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NAICS Code 541714-05 Description (8-Digit)

Operations Research is a field of study that uses mathematical models, statistical analysis, and optimization techniques to help organizations make better decisions. It involves the application of advanced analytical methods to complex problems in order to improve efficiency, reduce costs, and increase productivity. Operations Research is used in a wide range of industries, including manufacturing, transportation, healthcare, finance, and telecommunications.

Parent Code - Official US Census

Official 6‑digit NAICS codes serve as the parent classification used for government registrations and documentation. The marketing-level 8‑digit codes act as child extensions of these official classifications, providing refined segmentation for more precise targeting and detailed niche insights. Related industries are listed under the parent code, offering a broader context of the industry environment. For further details on the official classification for this industry, please visit the U.S. Census Bureau NAICS Code 541714 page

Tools

Tools commonly used in the Operations Research industry for day-to-day tasks and operations.

  • Linear programming
  • Nonlinear programming
  • Integer programming
  • Dynamic programming
  • Simulation
  • Queuing theory
  • Decision analysis
  • Game theory
  • Network analysis
  • Data mining

Industry Examples of Operations Research

Common products and services typical of NAICS Code 541714-05, illustrating the main business activities and contributions to the market.

  • Supply chain management
  • Logistics optimization
  • Production planning
  • Inventory management
  • Scheduling
  • Resource allocation
  • Risk management
  • Financial modeling
  • Marketing analytics
  • Healthcare operations

History

A concise historical narrative of NAICS Code 541714-05 covering global milestones and recent developments within the United States.

  • Operations Research (OR) is a discipline that emerged during World War II, when the military needed to optimize complex logistics and strategic planning. The industry's early pioneers included George Dantzig, who developed the simplex algorithm for linear programming, and John von Neumann, who contributed to game theory and the development of the first electronic computer. After the war, OR techniques were applied to civilian problems, such as transportation planning, inventory management, and production scheduling. In the United States, the industry grew rapidly during the 1950s and 1960s, as businesses and government agencies sought to improve efficiency and reduce costs. Notable advancements during this period included the development of network analysis, queuing theory, and decision analysis. In recent years, OR has expanded to include new areas of application, such as healthcare, finance, and energy. For example, OR techniques are used to optimize hospital staffing, design financial portfolios, and manage power grids.