Paper Title
An Intelligent Weighted Dispatching Rules for Flexible Flow Shop Scheduling in Random Machine Breakdown Condition

Abstract
Job scheduling in industries can be divided into two types of real-time events, namely the job-related and the resource-related. On the contrary, research in scheduling problem is commonly carried out by assuming that machines are continuously available. This paper presents a solution to deal with the flexible flow shop scheduling problems under the machine breakdown (represents resource related event). Hence, an intelligent weighted dispatching rules method is proposed to optimize the initial schedule and to respond to the machine breakdown conditions for both time-related (makespan) and job-related (tardiness) objectives. Gravitational Search Algorithm (GSA) is integrated with weighted dispatching rules to maintain the simplicity of the application and the effectiveness of the scheduling. The results obtained were analysed by using experimental design data and concluding that the proposed method is able to minimize the effect of the machine breakdown conditions on the job scheduling. Keywords - Gravitational Search Algorithm; Dispatching rules; Flow shop scheduling