[PDF] Top 20 A Decomposition-Based Algorithm for Flexible Flow Shop Scheduling with Stochastic Processing Times

... The completely reactive approach changes decisions during execution when necessary. The dispatching rule is a typical reactive one, in which jobs are selected by sorting them according to predefined criteria. It is easy ... See full document

... strategy based on a genetic algorithm (GA) to minimize the makespan, total waiting time and total tardiness in a flow shop consisting of n jobs and m ...hybrid flow shop ... See full document

... for seeking high-quality schedules within reason- able computation times. The EM was first intro- duced by Birbil and Fang [4] as a new stochas- tic population-based heuristic optimization tool to solve the ... See full document

... known processing time are involved in the process of each ...inhabitants based on an algorithm have been proposed to find near-optimal solutions to the difficult optimization problems like ... See full document

... production scheduling during production processes. The job processing time consists of the starting time, idle time, and times when the ma- chine must be shut down, turned on, and turned ...duction ... See full document

... numerical stochastic search algorithm that is proposed by Mehrabian and Lucas (2006) ...(DIWO) algorithm and compared its performance with five other evolutionary algorithms in time cost trade-off ... See full document

... The algorithm of Johnson is a classic method which solves to optimum the problem of ordering n jobs on two machines, in a polynomial ...Johnson’s algorithm can be applied only for some few particular cases ... See full document

... to scheduling problems: job transportation time (which includes moving and idle times), relative importance of a job over another, and break-down time of machines ...Break-down times represent the ... See full document

... starting times of the operations to be processed, the goal of the stochastic analysis now is to find a strategy or solution (production sequence) whose performance measure has the best statistical ...each ... See full document

... Genetic algorithm is stochastic search procedure for combinatorial optimization problems based on the mechanism of natural selection and natural ...genetic algorithm are representation, ... See full document

... as, scheduling policies and prioritization rules) are used to prioritize jobs that are queued for processing on a machine (Ruiz & Vazquenz- Rodriguez, ...the scheduling planning highly depends on ... See full document

... bi-objective scheduling problem for FFS problems with unrelated parallel machines and setup ...permutation flow-shop scheduling problem with the minimizing makespan ...optimization ... See full document

... considered flow shop scheduling problem for two and three machines arranged in series with single transport agent in between and considered setup time, transportation time, returning time for all ... See full document

... production scheduling, the resources and tasks are commonly referred to as machines and jobs, and the commonly used performance measures are the completion times of ...The flexible job shop ... See full document

... search algorithm was proposed by Chen et ...search algorithm in FFS scheduling problem with finite intermediate ...immune algorithm (QIA) for flexible flow shop ...an ... See full document

... 2009). Based on the latter motivation we present here an algorithm for a multi-objective version of ...multi-objective algorithm based on an underlying evolutionary component should be, ... See full document

... of processing of operations in each gene should be reviewed according to the values of previous genes and, if necessary, it should be ...to processing of operation 1 from job ... See full document

... the algorithm, not to trap into local optima but to explore it towards the global optima over the entire multidimensional search space and is consider as a part of population level mobile behaviour of ... See full document

... Job Shop Scheduling Problems (JSSP) considers the allocation of n jobs to m different machines or ...of processing times and routing characteristics. The processing time of each job on ... See full document

... Evolutionary algorithms, such as genetic algorithm (GA), are an effective type of meta-heuristic methods. Zhang et al. [11] proposed a bi-level GA in an attempt to keep the advantages of preceding generations and ... See full document