Hybrid organization of functional departments and manufacturing cells in the presence of imprecise data

FEYZİOĞLU O., Pierreval H.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, vol.47, no.2, pp.343-368, 2009 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 47 Issue: 2
  • Publication Date: 2009
  • Doi Number: 10.1080/00207540802425898
  • Journal Indexes: Science Citation Index Expanded, Scopus
  • Page Numbers: pp.343-368


Although the benefits of forming cells are widely recognized, certain industrial decision makers do not wish an entire transformation because of possible changes that may occur, for example, in the demand, mix or routing of products. Therefore, hybrid organization of functional departments and manufacturing cells in the same shop may appear quite relevant. The problem addressed here is how to allocate machines and products so as to design such systems that take advantages of both types of layout. We suggest an approach that favours cells for the parts that are regularly manufactured over time (i.e. stable parts), and functional departments for the parts that require more flexibility. We also consider the difficulties arising in the collection of precise data in reality. Hybrid shop design problem is formulated as a constrained fuzzy multi-objective optimization problem and an evolutionary programming algorithm is devised to solve it. The approach is illustrated in test examples.