The job-shop problem is one of the most difficult classical scheduling problems. An instance with ten jobs to be processed on ten machines formulated in 1963 was open for more than 25 years. It was finally solved by a branch-and-bound algorithm. Very simple special cases of the job-shop problem are already strongly NP-hard. After a short review of these old challenges we consider practical applications like problems in flexible manufacturing, multiprocessor task scheduling, robotic cell scheduling, railway scheduling, air traffic control which all have an underlying job-shop structure. Methods to solve these problems and new challenges in connection with them are indicated
Two methods of obtaining approximate solutions to the classic General Job-shop Scheduling Program ...
This paper investigates the integration of the employee timetabling and production scheduling proble...
Performance and efficiency of production systems is hugely influenced by the capability to efficient...
AbstractA fast branch and bound algorithm for the job-shop scheduling problem has been developed. Am...
The job shop is an important part of many of today\u27s industrial organizations. In general, a jo...
Job-shop scheduling is a classical NP-hard problem. Shmoys, Stein, and Wein presented the rst polyno...
AbstractThis paper addresses job-shop scheduling problems with deteriorating jobs, i.e. jobs whose p...
This research paper explains the record of scheduling operations in mechanized services above the la...
This research paper explains the record of scheduling operations in mechanized services above the la...
Each plant and/or service provider performs several tasks to satisfy customer demand. Every task con...
Scheduling problems can be found in almost any field of application in the real world. These problem...
In recent years, the manufacturing industry has developed rapidly with fierce competition. Manufactu...
We consider a job-shop scheduling problem with n jobs and the constraint that at most p < n jobs ca...
Industry 4.0 is announced as a fourth industrial revolution. The next level of evolution will compre...
In this paper, we propose 260 randomly generated scheduling problems whose size is greater than that...
Two methods of obtaining approximate solutions to the classic General Job-shop Scheduling Program ...
This paper investigates the integration of the employee timetabling and production scheduling proble...
Performance and efficiency of production systems is hugely influenced by the capability to efficient...
AbstractA fast branch and bound algorithm for the job-shop scheduling problem has been developed. Am...
The job shop is an important part of many of today\u27s industrial organizations. In general, a jo...
Job-shop scheduling is a classical NP-hard problem. Shmoys, Stein, and Wein presented the rst polyno...
AbstractThis paper addresses job-shop scheduling problems with deteriorating jobs, i.e. jobs whose p...
This research paper explains the record of scheduling operations in mechanized services above the la...
This research paper explains the record of scheduling operations in mechanized services above the la...
Each plant and/or service provider performs several tasks to satisfy customer demand. Every task con...
Scheduling problems can be found in almost any field of application in the real world. These problem...
In recent years, the manufacturing industry has developed rapidly with fierce competition. Manufactu...
We consider a job-shop scheduling problem with n jobs and the constraint that at most p < n jobs ca...
Industry 4.0 is announced as a fourth industrial revolution. The next level of evolution will compre...
In this paper, we propose 260 randomly generated scheduling problems whose size is greater than that...
Two methods of obtaining approximate solutions to the classic General Job-shop Scheduling Program ...
This paper investigates the integration of the employee timetabling and production scheduling proble...
Performance and efficiency of production systems is hugely influenced by the capability to efficient...