ANSI/ISA-95 Segment Dependency usage in Finite Capacity Scheduling

  • 1 Industrial Automation Dept., University of Chemical Technologies and Metallurgy Sofia, Bulgaria


The ANSI/ISA-95 (ISO 62264) standard is a key concept driving the implementation of Industry 4.0 in industry. It is a backbone of the Reference Architectural Model for Industry 4.0 (RAMI 4.0) and describes the objects, models and activities on operations management hierarchy level (Level 3). A major model described in the standard is the Planning model, in which is described that the planning activities rely on requirements of personnel, equipment and/or material. Also, a general concept in all models, described in the standard is the process segment that may refer as a combination of specific equipment/asset (with enough capability), a material (with specific quality) and/or a person (with proper qualification). In this article the Segment Dependencies impact on Capacity and Planning models is examined and some conclusions are made.



  1. J.P.Womack, D.T. Jones, Lean Thinking, Banish waste and create wealth in your corporation, Simon & Schuster Inc. New York 1, 1996
  2. J.Bicheno, M.Holweg, The Lean Toolbox Fifth edition, PICSIE Books, Buckingham, 2016
  3. M.Imai, Gemba Kaizen, A commonsense approach to a continuous improvement strategy, Second edition, McGraw-Hill, 2012
  4. M. O. George, The lean six sigma guide to doing more with less : Cut costs, reduce waste, and lower your overhead, Hoboken, N.J.: John Wiley & Sons, 2010.
  5. M. L. George, "The lean six sigma pocket toolbook a quick reference guide to nearly 100 tools for improving process quality, speed, and complexity," McGraw-Hill, 2005
  6. L. Wilson, How to implement lean manufacturing, New York: McGraw-Hill, 2010.
  7. Lei Yue et al, Building a reference model for a Manufacturing Execution System (MES) platform in an Industry 4.0 context, Journal of Physics: Conference Series, CISAT 2019
  8. ANSI/ISA-95.03-2013 (ISO EN 62264-3) Enterprise-control system integration. Part 3: Activity models of manufacturing operations management
  9. ANSI/ISA-95.00.01-2013 (ISO EN 62264-1) Enterprise-control system integration. Part 1: Models and Terminology
  10. ANSI/ISA-95.00.02 (ISO EN 62264-2) Enterprise-control system integration. Part 2: Objects and attributes for enterprise-control system integration
  11. ANSI/ISA-95.00.04 (ISO EN 62264-4) Enterprise-control system integration. Part 4: Object model attributes for manufacturing operations management integration
  12. Alexandrov A., R. Andreev, D. Batchvarov, A. Boneva, S. Ilchev, S. Ivanov, J. Doshev, Method for modeling and simulation of parallel data integration processes in Wireless Sensor Networks, 13th International Conference International Conference on Flexible Query Answering Systems - FQAS 2019, Amantea, Italy, July 2–5, 2019, Proceedings, Print ISBN: 978-3-030-27628-7, Electronic ISBN: 978-3-030-27629-4, Springer, Cham, 12 September 2019, pp. 291-301, DOI:
  13. I.Batchkova, D.Gocheva, Ts.Ivanova, Y.Belev, Semantic Interoperability of Agent-based Cyber-Physical Systems, International Conference on Intelligent Systems (IS), Funchal, Madeira Island, September 25-27, 2018
  14. Jenny Lorena Diaz Castañeda, Carlos Ocampo-Martinez, Niklas Panten, Thomas Weber, Eberhard Abele, Optimal operation of combined heat and power systems: An optimization-based control strategy, Energy Conversion and Management Volume 199, 1 November 2019,

Article full text

Download PDF