In this study, a job shop scheduling optimization model under risk has been developed to minimize the make span. This model has been built using Microsoft Excel spreadsheets and solved using @Risk solver. A set of experiments have been also conducted to examine the accuracy of the model and its effectiveness has been proven
This paper presents a preliminary work on a development of dynamic job shop scheduling model. The mo...
AbstractThis paper propose an effective estimation of distribution algorithm (EDA), which solves the...
The multitask cell at Volvo Aero Corporation is a flexible job shop containing ten resources aimed a...
Traditional job shop scheduling models ignore the stochastic elements that exist in actual job shops...
A stochastic, multi-objective job shop production scheduling model is developed in this research. Th...
A stochastic, multi-objective job shop production scheduling model is developed in this research. Th...
In this research we aim to investigate the job shop scheduling problem with uncertain processing tim...
In this research we aim to investigate the job shop scheduling problem with uncertain processing tim...
This paper deals with the general shop scheduling problem with the objective of minimizing the makes...
Proactive approaches to scheduling take into account information about the execution time uncertaint...
This paper describes an employee scheduling system for retail outlets; it is a constraint-based syst...
Industry 4.0 is announced as a fourth industrial revolution. The next level of evolution will compre...
The job scheduling problem (JSP) is considered as one of the most complex combinatorial optimization...
Most classical scheduling formulations assume a fixed and known duration for each activity. In this ...
The performance of schedules released to a shop floor may greatly be affected by unexpected disrupti...
This paper presents a preliminary work on a development of dynamic job shop scheduling model. The mo...
AbstractThis paper propose an effective estimation of distribution algorithm (EDA), which solves the...
The multitask cell at Volvo Aero Corporation is a flexible job shop containing ten resources aimed a...
Traditional job shop scheduling models ignore the stochastic elements that exist in actual job shops...
A stochastic, multi-objective job shop production scheduling model is developed in this research. Th...
A stochastic, multi-objective job shop production scheduling model is developed in this research. Th...
In this research we aim to investigate the job shop scheduling problem with uncertain processing tim...
In this research we aim to investigate the job shop scheduling problem with uncertain processing tim...
This paper deals with the general shop scheduling problem with the objective of minimizing the makes...
Proactive approaches to scheduling take into account information about the execution time uncertaint...
This paper describes an employee scheduling system for retail outlets; it is a constraint-based syst...
Industry 4.0 is announced as a fourth industrial revolution. The next level of evolution will compre...
The job scheduling problem (JSP) is considered as one of the most complex combinatorial optimization...
Most classical scheduling formulations assume a fixed and known duration for each activity. In this ...
The performance of schedules released to a shop floor may greatly be affected by unexpected disrupti...
This paper presents a preliminary work on a development of dynamic job shop scheduling model. The mo...
AbstractThis paper propose an effective estimation of distribution algorithm (EDA), which solves the...
The multitask cell at Volvo Aero Corporation is a flexible job shop containing ten resources aimed a...
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