Proceedings Article10.1109/UKSIM.2010.13
Fuzzy Clustering-Based Optimised Cell Formation Algorithm Considering Sequence of Operations, Alternative Routing and Part-Volume
Sani Susanto,Arijit Bhattacharya,David Al-Dabass +2 more
- 24 Mar 2010
- pp 22-27
5
TL;DR: This paper focuses on stages selection of parts and part families generation, and selection of machines and process and grouping of these into cells in the design of a new manufacturing system considering sequence of operation, alternative routing and part-volume.
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Abstract: CM is the grouping of discrete multi-machines that produce part families with similar geometry or sequence of process and aims to improve manufacturing systems productivity. The methods/models used are classified into: array-based, clustering, mathematical programming based (viz., integer programming), graph theoretic, Multi-Criteria Decision-Making (MCDM) and artificial intelligence techniques. Fuzzy c-means clustering approach has been used to manufacturing cell formation problem by Chu and Hayya, this differs from a previous ones proposed by Xu and Wang, and later by Li and Ding, in the sense that Chu and Hayya use manufacturing routing data rather than design features in part family formation. Optimised cell formation, taking into account sequence of operations, alternative routing and part volume together is not present in Chu and Hayya. Thus this paper focuses on stages selection of parts and part families generation, and selection of machines and process and grouping of these into cells in the design of a new manufacturing system considering sequence of operation, alternative routing and part-volume. One of the crucial steps in the design of a cellular manufacturing system is the cell formation problem, which involves grouping the parts into part families and machines into machine groups.
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Citations
Fuzzy Multi Criteria Decision Making Applications: A Review Study.
Adeleh Asemi,Asefeh Asemi,Mohd Sapiyan Baba,Rukaini Abdullah +3 more
- 01 Jan 2014
TL;DR: This study investigates the most usage of FMCDM techniques among various applications and finds that “ location management” and “Supplier Selection” are the most applications and among FM CDM techniques Fuzzy AHP and fuzzy TOPSIS are themost applied techniques.
13
Fuzzy Cluster Analysis and Fuzzy Recognition
Bing-Yuan Cao
- 01 Jan 2010
TL;DR: A fuzzy cluster analysis as well as fuzzy recognition is introduced in this chapter and fuzzy recognition with T -fuzzy data is exhibited secondly.
4
Fuzzy Logic Applications in Cellular Manufacturing System Design
Hülya Behret,Sule Itir Satoglu +1 more
- 01 Jan 2012
TL;DR: The purpose of this study is basically to summarize the fuzzy techniques, especially the fuzzy clustering and fuzzy programming employed for the CMS design, and their past applications, and offer directions for future research.
2
A two-phase part family formation model to optimize resource planning: a case study in the electronics industry
TL;DR: A two-phase clustering method is developed to optimize the grouping process under technological constraints, in a bid to improve resource planning and an improved production planning solution is proposed to validate the method’s efficiency.
1
A two-phase part family formation model to optimize resource planning: a case study in the electronics industry
TL;DR: A two-phase clustering method is developed to optimize the grouping process under technological constraints, in a bid to improve resource planning and an improved production planning solution is proposed to validate the method’s efficiency.
1
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