Optimised Cell Formation Algorithm Considering Sequence of Operations, Alternative Routing and Part-Volume

Cell Formation Heuristic Procedure Considering Production Data

“…Though all similarity coefficients are intuition based and there is no strict reasoning why one of them is better than others (Krushinsky and Goldengorin, 2012). Jaccard similarity coefficient is found the efficient and most stable one among the twenty Lian et al, 2013 Multiple identical machines, processing time, set-up time, machine capacity, production volume, cell size, alternative routes Gupta et al, 2012 Operation sequence Ahi et al, 2009 Operational time, operation sequence Pandian and Mahapatra, 2009 Operation sequence, operation time Paydar and Sahebjamnia, 2009 Operation sequence Susanto et al 2009 Sequence of operations, part-Volume, alternative routes Kumar and Jain, 2008 Operation sequence, time, production volume Masmoudi et al 2008 Alternative routes Kim et al, 2004 Machine sequence, alternative routes Mahesh and Srinivasan, 2002 Processing time, alternative routes Mukattash et al, 2002 Multiple parallel machines, processing time, alternative routes Won and Lee, 2001 Operation sequence, production volume Nair and Narendran, 1998 Operation sequence Beaulieu et al, 1997 Intra-cell movement cost, material handling cost, machine cost (alternate machines), alternative routes Beaulieu et al, 1993 Production cost, work load, machine flexibility, routing flexibility compared in a comparative study of similarity coefficients made by Yin and Yasuda (2005). For efficiency and stability of proposed CF procedure a variant of Jaccard similarity coefficient is used.…”

“…Table 1 presents the literature studies related to cell formation. Susanto et al (2009) revealed that about 80% of CF techniques do not consider important production factors like production volume, machine capacity, operation sequence, inter-cell / intra-cell transportation cost, part processing cost, processing time, machine capacity, etc whereas considerations to such production data would make them more realistic and effective, but rarely any such similarity coefficient based simple CF technique has been developed so far. The literature reflects the need of efforts to incorporate production and manufacturing flexibility related data (realistic data) in CF procedures in a simple manner.…”

Development of a cell formation heuristic by considering realistic data using principal component analysis and Taguchi’s method

“…A large number of cell CF approaches have been developed so far, majority of them do not consider production-related data (Boutsinas 2013;Won and Lee 2001). Susanto et al (2009) revealed that 80 % of manufacturing CF approaches are focussed on the arrangement of binary part-machine incidence matrix, whereas more realistic and effective approaches could be developed by considering the various manufacturing flexibility and production-related data (Kumar and Sharma 2014). A little work is observed on CF considering any such data in a simple manner and some of them are summarised in Table 1, whilst on the other hand a large number of literature is available on binary matrix-based cell formation techniques.…”