Metrics of product modularity: lessons learned from case companies

Ahm Shamsuzzoha*, Sujan Piya, Mahmood Al-Kindi, Nasr Al-Hinai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Purpose: Modular product development is a turning table concept in terms of benefits and impact in manufacturing companies. It offers added benefits to the companies with respect to reduce lead-time, improve assemble ability and agility in supply chain management, promote product family and enhance customer satisfaction. This paper aims to identify the patterns of modular product development strategy by using measurement techniques. Design/methodology/approach: Both quantitative and qualitative approaches are considered. In the qualitative section, relevant data on product design are collected from six case companies. On the other hand, in the quantitative section, collected data are analyzed to measure the product modularity level with the case companies. Findings: This research identifies potential metrics which can be used successfully to measure product modularity level or index in manufacturing industries. Selection of such metrics also depends on individual company’s objectives to measure modularity index. Originality/value: This research contributes to the development of modular product design that supports product family design with lean and agile (leagile) supply chain process. It also provided a parsimonious framework to mapping modules within a product, which is ultimately used to measure modularity index.

Original languageEnglish
Pages (from-to)331-350
Number of pages20
JournalJournal of Modelling in Management
Volume13
Issue number2
DOIs
Publication statusPublished - 2018

Keywords

  • Case company
  • Mapping
  • Measurement
  • Modelling
  • Modularity metrics
  • Operations management
  • Performance management
  • Product modularity

ASJC Scopus subject areas

  • General Decision Sciences
  • Strategy and Management
  • Management Science and Operations Research

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