Multi-objective optimization or models sequencing n mixed-model assembly lines

Mudassar Rauf, Shoaib Sarfraz, Essam Shehab, Saima Javeed, Mirza Jahanzaib

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

3 Citations (Scopus)


Since the introduction of assembly lines, they are being used for the mass production. Due to the concept of mass customization, Mixed-Model Assembly Lines (MMAL) are becoming more popular. Various Industries are forced to shift to MMAL because of customer demand of more customized products. Assembly line balancing and model sequencing are the two major problems in MMAL. This paper deals with the Model sequencing problem in MMAL. A modified Multi-Objective NEH (MO-NEH) algorithm was proposed to optimize the conflicting objectives (flow time and make-span). For this purpose, NEH was integrated with PROMTHEE-II, a Multi-Criteria Decision-Making technique (MCDM). A mathematical model was presented for three Objectives; make-span, Idle time and flow time. A case study of hydraulic pumps MMAL was conducted. Results of proposed MO-NEH was compared with existing NEH variants and it showed that proposed algorithm outperformed the existing variants in optimizing the objectives simultaneously.

Original languageEnglish
Title of host publicationAdvances in Manufacturing Technology XXXI - Proceedings of the 15th International Conference on Manufacturing Research, ICMR 2017, Incorporating the 32nd National Conference on Manufacturing Research
EditorsMohammed El Souri, James Gao, Simeon Keates
PublisherIOS Press BV
Number of pages6
ISBN (Electronic)9781614994398
Publication statusPublished - Jan 1 2017
Externally publishedYes
Event15th International Conference on Manufacturing Research, ICMR 2017 - London, United Kingdom
Duration: Sep 5 2017Sep 7 2017


Conference15th International Conference on Manufacturing Research, ICMR 2017
CountryUnited Kingdom


  • Mixed-model assembly lines
  • Model sequencing problem
  • Multi-objective
  • NEH algorithm

ASJC Scopus subject areas

  • Computer Science Applications
  • Industrial and Manufacturing Engineering
  • Software
  • Algebra and Number Theory
  • Strategy and Management

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