Optimizing the smoothness of production lines with considerations of structural and dynamic complexities for electronics manufacturing

Edward K.W. Law, Kam Chuen Yung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)


In an electronics manufacturing environment, it is very common to find many different products with different features, being manufactured in the same production area. They can share same machines, tools and even same operators. There are various objectives to be achieved in a production work floor, balance of work is recognized as a major target as it eliminates resource idling. However, the traditional methods of line balancing have not considered the impact of complexity in both Structural and Dynamic aspects. A manufacturing system is actually quite complex, as the subsystems can have interactions among themselves. Improving the flexibility also complicates the decision process, and hence the occurrence of different events. Quality tools such as Kanban, Just-in-Time are simpler to use, and many of them can be incremental and easy to communicate to other colleagues. However, they suffer from a non-holistic approach and do not give an overall picture of the interactions. We build up and illustrate an optimization framework by: 1. Reviewing the traditional approach in Multi-Model Line Balancing. 2. Use of Matrix Approach to explore the Line Balancing. 3. Analyzing different results with Information Entropy. 4. Discussing the impact on Structural and Dynamic Complexities.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016
ISBN (Electronic)9781509061938
Publication statusPublished - 9 Feb 2017
Event2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016 - Guangzhou, China
Duration: 19 Dec 201621 Dec 2016


Conference2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016


  • Dynamic Complexity
  • Information Entropy
  • Line Balancing
  • Mixed-Model Work Flow
  • Structural Complexity

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Instrumentation

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