The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents an integrated fuzzy simulation approach for performance improvement of assembly shops with ambiguous and uncertain parameters. The basic subject of simulation is the probabilistic approach to describe real world uncertainty. However, in several cases, there is not sufficient information to build the corresponding probabilistic models or there are some human factors that prevent...
In this research hybrid memetic algorithm and revised TOPSIS (HMA-RTM) method is introduced as a new hybrid evolutionary algorithm for solving multi objective cell formation problem (CFP). The objectives are the minimization of both total moves (intercellular as well as intracellular moves) and the cell load variation. Many researches have been made for cell formation taking into consideration multi...
Cellular manufacturing (CM) is an important application of group technology (GT) in which families of parts is produced in manufacturing cells or in a group of various machines. In this paper, a genetic algorithm approach is proposed for solving multi-objective cell formation problem. The objectives are the minimization of both total moves (intercell as well as intracell moves) and the cell load Variation...
In this paper we consider a scheduling problem where a set of jobs are simultaneously available for processing in a no-wait two-machine flowshop. All jobs are processed on both machines in batches. Batching machines can process several tasks per batch so that all tasks of the same batch start and complete together. The batch processing time for the first machine is equal to the maximal processing...
In conventional data envelopment analysis it is assumed that the input versus output status of each chosen performance measures is known. In some conditions finding a statue of some variables from the point view of input or output is very difficult; these variables treat as both an input and output and are called flexible measures. This paper proposes a new model based on Cobb-Douglas production function...
This paper presents an approach by considering fuzzy parameters in simulation model to obtain fuzzy throughputs in manufacturing systems. The basic subject of simulation is the probabilistic approach to describing real world uncertainty. However, in many cases we do not have information that would be precise enough to build the corresponding probabilistic model or there are some human factors that...
Appropriate selection of intermediate measure status in supply chain is an important requirement for the effective management of supply chain. The data envelopment analysis (DEA) is suitable tool for evaluating supply chain performance. In the conventional DEA it is deemed that the variable status of each performance measures from the point view of input or output is known. In supply chain intermediate...
This paper presents a decision making approach based on a hybrid GA for determining the most efficient number of operators and the efficient measurement of operator assignment in cellular manufacturing system (CMS).The objective is to determine the labor assignment in CMS environment with the optimum performance. We use The GA for getting near optimum ranking of the alternative with accordance to...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.