Article

# Simultaneous optimal selection of design and manufacturing tolerances with alternative manufacturing process selection.

Computer-Aided Design 01/2011; 43:207-218. DOI: 10.1016/j.cad.2010.10.001

Source: DBLP

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**ABSTRACT:**This paper addresses the problem of multi-objective facility layout planning. The aim is to solve the single row facility layout problems (SRFLP) and find the linear machine sequence which minimizes the following: The total investment cost of machines; the total material handling cost; the total number of machines in the final sequence; and the total flow distance of the products in units. The tabu search algorithm (TSA) which has now become a very useful tool in solving a variety of combinatorial optimization problems is made use of here. TSA is developed to determine the product sequence based on which a common linear machine sequence is found out for multi-products with different machine sequences. We assume that, limited number of duplicate machine types available for job. The results are compared with other approaches and it shows the effectiveness of the TSA approach as a practical decision support tool to solve problems in SRFLP.Journal of Advanced Manufacturing Systems 01/2014; 14(13):17-40. - [Show abstract] [Hide abstract]

**ABSTRACT:**This paper presents the development of heuristics for determining a common linear machine sequence for multi-products with different operation sequences and facilities with a limited number of duplicate machine types available for a specific job. The final linear machine sequence is obtained by three different methods: (i) Product sequence based on descending order of flow distances, (ii) Product sequence based on descending order of product due date, and (iii) Product sequence based on random selection. This work aims to compare the effectiveness of the three approaches based on the results of (a) minimum total flow distance traveled by products, (b) minimum number of machines in the final linear sequence, and (c) minimum total investment cost of the machines in the final sequence. It is assumed that the product flow runs only in the forward direction, either via in-sequence or bypass movement. This work demonstrates the effectiveness of the proposed heuristics by solving a typical layout design problem taken from the literature and several randomly generated problems. The results of three different approaches are compared, and it provides practical support in making decisions while solving the problems inherent in multi-objective facility layout design.3rd International Conference on Recent Advances in Material Processing technology, National Engineering College, K.R.Nagar-628503, Tamilnadu, India; 02/2013 - [Show abstract] [Hide abstract]

**ABSTRACT:**When an enterprise has thousands of varieties in its inventory, the use of a single management method could not be a feasible approach. A better way to manage this problem would be to categorise inventory items into several clusters according to inventory decisions and to use different management methods for managing different clusters. The present study applies DPSO (dynamic particle swarm optimisation) to a problem of clustering of inventory items. Without the requirement of prior inventory knowledge, inventory items are automatically clustered into near optimal clustering number. The obtained clustering results should satisfy the inventory objective equation, which consists of different objectives such as total cost, backorder rate, demand relevance, and inventory turnover rate. This study integrates the above four objectives into a multiobjective equation, and inputs the actual inventory items of the enterprise into DPSO. In comparison with other clustering methods, the proposed method can consider different objectives and obtain an overall better solution to obtain better convergence results and inventory decisions.TheScientificWorldJournal. 01/2014; 2014:805879.

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