A Mathematical Model for Cell Formation in CMS Using Sequence Data
Authors
Abstract:
Cell formation problem in Cellular Manufacturing System (CMS) design has derived the attention of researchers for more than three decades. However, use of sequence data for cell formation has been the least investigated area. Sequence data provides valuable information about the flow patterns of various jobs in a manufacturing system. This paper presents a new mathematical model to solve a cell formation problem based on sequence data in CMS. The objective is to minimize the total costs of inter and intra-cell movements. This model depends on the attitude of the decision maker towards the minimum utilization level of each cell in such a way that the part-machine grouping can be changed significantly. A number of examples from the literature are solved by the LINGO software package to validate and verify the proposed model. Finally, computational results are reported and analyzed.
similar resources
A genetic algorithm for a bi-objective mathematical model for dynamic virtual cell formation problem
Nowadays, with the increasing pressure of the competitive business environment and demand for diverse products, manufacturers are force to seek for solutions that reduce production costs and rise product quality. Cellular manufacturing system (CMS), as a means to this end, has been a point of attraction to both researchers and practitioners. Limitations of cell formation problem (CFP), as one o...
full textA Mathematical Model for Integrating Cell Formation Problem with Machine Layout
This paper deals with the cellular manufacturing system (CMS) that is based on group technology concepts. CMS is defined as identifying the similar parts that are processed on the same machines and then grouping them as a cell. The most proposed models for solving CMS are focused on cell formation problem while machine layout is considered in few papers. This paper addresses a mathematical mo...
full textMathematical model for dynamic cell formation in fast fashion apparel manufacturing stage
This paper presents a mathematical programming model for dynamic cell formation to minimize changeover-related costs (i.e., machine relocation costs and machine setup cost) and inter-cell material handling cost to cope with the volatile production environments in apparel manufacturing industry. The model is formulated through findings of a comprehensive literature review. Developed model is val...
full textA Mathematical Model to Optimize Allocation Sequence in Dispatching Problem
Truck-Shovel fleet, as the most common transportation system in open-pit mines, has a significant part of mining costs, for which optimal management can lead to substantial cost reductions. Among the available dispatch mathematical models, the multi-stage approach is well suited for allocating trucks to respected shovels in a dynamic dispatching program. However, with this kind of modeling sequ...
full textRobust Optimization Approach for Design for a Dynamic Cell Formation Considering Labor Utilization: Bi-objective Mathematical Model
In this paper, robust optimization of a bi-objective mathematical model in a dynamic cell formation problem considering labor utilization with uncertain data is carried out. The robust approach is used to reduce the effects of fluctuations of the uncertain parameters with regards to all the possible future scenarios. In this research, cost parameters of the cell formation and demand fluctuation...
full textRobust optimization of a mathematical model to design a dynamic cell formation problem considering labor utilization
Cell formation (CF) problem is one of the most important decision problems in designing a cellular manufacturing system includes grouping machines into machine cells and parts into part families. Several factors should be considered in a cell formation problem. In this work, robust optimization of a mathematical model of a dynamic cell formation problem integrating CF, production planning and w...
full textMy Resources
Journal title
volume 2 issue 2
pages 144- 153
publication date 2008-08-01
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023