Towards a Reference Architecture for Planning and Control Services

Mohammad Pourmehdi*, Maria E. Iacob, Martijn R.K. Mes

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Producers of manufacturing equipment can, instead of just selling their products, also offer their customers services to increase customer satisfaction, gain competitive advantage, and increase their profits. These goals can be reached by helping the customers optimise their processes and improve their reliability and flexibility. This can be done by supporting the customer that invests in new manufacturing machines with a planning and control tool connecting the machines and the processes between them. More specifically, this will become possible by introducing and integrating active data management and analysis, and planning applications in the current architecture of companies. All of the processes currently being done manually in the customer companies, from monitoring to production planning based on direct observation and the experience of production managers, can be automated using these applications. This paper presents a reference architecture supporting the connection of these processes using the mentioned applications, and validates the developed models based on a real case study of a production machine manufacturer and its customers.

Original languageEnglish
Title of host publicationAdvances in Enterprise Engineering XVI
Subtitle of host publication12th Enterprise Engineering Working Conference, EEWC 2022, Revised Selected Papers
EditorsCristine Griffo, Sérgio Guerreiro, Maria E. Iacob
Number of pages18
ISBN (Electronic)978-3-031-34175-5
ISBN (Print)978-3-031-34174-8
Publication statusE-pub ahead of print/First online - 27 May 2023
Event12th International Enterprise Engineering Working Conference, EEWC 2022 - Leusden, Netherlands
Duration: 2 Nov 20223 Nov 2022
Conference number: 12

Publication series

NameLecture Notes in Business Information Processing
Volume473 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356


Conference12th International Enterprise Engineering Working Conference, EEWC 2022
Abbreviated titleEEWC 2022


  • Data management
  • Manufacturing machines
  • Production planning
  • Reference architecture
  • Service provision
  • 2023 OA procedure


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