Modular product development - mapping and prioritizing the driving factors by interpretive structural modelling

Ahm Shamsuzzoha*, Sujan Piya, Mohammad Taukiruzzaman, Mohammad Khadem

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


Modular product development strategy facilitates developing new products tailored to emerging markets globally. It has broad implications for product performance, product variety, product change, manufacturability and assemble ability. However, it is not an easy task to adopt such strategy as many drivers affect its implementation. Therefore, before its implementation, it is imperative that manufacturer understand the driving factors of modular product design. This research identifies 18 driving factors, which are necessary to boost up modular product design and development. These factors are identified and sorted out through extensive literature surveys and experts opinions from industrial personnel and academicians. Thereafter, the interdependencies among the factors are classified as high, medium and low through the use of Interpretive Structural Modeling (ISM). The ISM diagraph shows that modularity factors can be classified into six levels. Factor "Product development knowledge" falls at the lowest level of ISM diagraph indicating that it has the highest driving power for modular product development strategy. On the other hand, factors such as "Component lead time", "Component availability", "Inventory management" and "Product life cycle" are the factors with highest dependency.

Original languageEnglish
Pages (from-to)1943-1951
Number of pages9
JournalProceedings of the International Conference on Industrial Engineering and Operations Management
Issue numberSEP
Publication statusPublished - 2018
Event3rd North American IEOM Conference. IEOM 2018 -
Duration: Sept 27 2018Sept 29 2018


  • Expert opinions
  • ISM
  • Mass customization
  • Modularity factors
  • Product modularity

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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