Measurement of modularity level within selected omani small and medium size enterprises

Ahm Shamsuzzoha*, Faris Al-Maskari, Said Al-Lawati, Mustafa Al-Adawi, Muhannad Al-Tamimi, Nasr Al-Hinai, Mahmood Al-Kindi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Product modularity offers added benefits for the companies with respect to reduce lead-time, improve assemble ability, promote product family and enhances customers' satisfactions. Such modularity offers an opportunity to mix and match all the components of a product into a standardized modular product. The focus of this research is to introduce the concept of modularity within selected Omani companies (mainly small and medium size enterprises, SMEs) and eventually to measure the modularity level within their products portfolios. To measure such modularity level necessary design data from a selected Omani SME's products portfolios is collected and analyzed by design structure matrix (DSM) tool. The modularity level is measured through clustering the collected data related to components interdependences. This research is also concentrated to provide a methodological framework to develop modules that acts as a guideline to improve modularity level of the selected Omani SMEs existing products and/or new product portfolios.

Original languageEnglish
Title of host publicationModeling and Managing Complex Systems - Proceedings of the 17th International DSM Conference
PublisherCarl Hanser Verlag
Number of pages10
ISBN (Print)9783446445734
Publication statusPublished - 2015
Event17th International Dependency and Structure Modeling Conference, DSM 2015 - Fort Worth, United States
Duration: Nov 4 2015Nov 6 2015


Other17th International Dependency and Structure Modeling Conference, DSM 2015
Country/TerritoryUnited States
CityFort Worth


  • Components interdependencies
  • Modularity level
  • Product modularity
  • Selected omani SMEs

ASJC Scopus subject areas

  • Artificial Intelligence
  • Management of Technology and Innovation
  • Software
  • Computational Mathematics


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