This paper deals with performance evaluation and sequencing in a m machines ow shop. The processing time of a given job on a given machine is assumed to be distributed exponentially, with a known mean. The objective is to minimize the expected makespan. For the performance evaluation, we propose Markov chain modeling and discrete event simulation, and for the scheduling problem, we propose a coupling between the stochastic descent algorithm and a performance evaluation model
A number of jobs are to be processed using a number of identical machines which operate in parallel....
Traditional job shop scheduling models ignore the stochastic elements that exist in actual job shops...
The current work contributes to stochastic hybrid flow shop scheduling. After a thorough literature ...
The two-machine flowshop problem, where setup and removal times are independent from processing time...
This paper presents a Markov Chain approximation to model stations in manufacturing lines with gener...
This paper deals with scheduling problems in m machines permutation flow shop subject to random brea...
We consider stochastic models for flow shops, job shops and open shops in which the work required by...
This paper is devoted to two types of stochastic scheduling problems, one involving a single machine...
Abstract. In this paper, stochastic shop models with m machines and n jobs are considered. A job has...
A number of identical machines operating in parallel are to be used to complete the processing of a ...
A model of the behavior of multiprocessor systems consisting of processors, an interconnection netwo...
Planning and scheduling approaches in real manufacturing environments entail the need to cope with r...
A number of identical machines operating in parallel are to be used to complete the processing of a ...
The goal of this paper is to assess the improvement in performance that might' be achieved by optima...
This paper presents a procedure for sequencing jobs on a single machine with jobs having a common du...
A number of jobs are to be processed using a number of identical machines which operate in parallel....
Traditional job shop scheduling models ignore the stochastic elements that exist in actual job shops...
The current work contributes to stochastic hybrid flow shop scheduling. After a thorough literature ...
The two-machine flowshop problem, where setup and removal times are independent from processing time...
This paper presents a Markov Chain approximation to model stations in manufacturing lines with gener...
This paper deals with scheduling problems in m machines permutation flow shop subject to random brea...
We consider stochastic models for flow shops, job shops and open shops in which the work required by...
This paper is devoted to two types of stochastic scheduling problems, one involving a single machine...
Abstract. In this paper, stochastic shop models with m machines and n jobs are considered. A job has...
A number of identical machines operating in parallel are to be used to complete the processing of a ...
A model of the behavior of multiprocessor systems consisting of processors, an interconnection netwo...
Planning and scheduling approaches in real manufacturing environments entail the need to cope with r...
A number of identical machines operating in parallel are to be used to complete the processing of a ...
The goal of this paper is to assess the improvement in performance that might' be achieved by optima...
This paper presents a procedure for sequencing jobs on a single machine with jobs having a common du...
A number of jobs are to be processed using a number of identical machines which operate in parallel....
Traditional job shop scheduling models ignore the stochastic elements that exist in actual job shops...
The current work contributes to stochastic hybrid flow shop scheduling. After a thorough literature ...