In this paper, we propose n-jobs to be processed on Single Machine Scheduling Problem (SMSP) involving fuzzy processing time and fuzzy due dates. The different due dates for each job be considered which meet the demand of customer with more satisfaction level. The main objective of this paper is the total penalty cost to be minimum in the schedule of the jobs on the single machine. This cost is composed of the total earliness and the total tardiness cost. Here, an algorithm is developed using Average High Ranking Method (AHRM) which minimizes the total penalty cost due to earliness (lateness) of jobs in fuzzy environment. Finally, numerical example is given to illustrate proposed method.
Comments: 8 Pages.
[v1] 2012-08-19 00:08:13
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