This paper provides a simulation model to study the effect of the work-in-process control on due date performance in job shop environment. The due date performance is measured by both the number of tardy jobs and the total tardiness. The simulation runs include different shop configurations (flow shop and general job shop), workloads and sequencing rules. As expected, the results reveal that du...

In the last decade job shop scheduling problems have been subject to intensive research due to their multiple applications. Job shop scheduling is known as a strongly NPcomplete problem. In the job shop scheduling problems, processing times and due dates are very dynamically due to both human and machine resource factors. Fuzzy sets are used to model the uncertain processing times and due dates...

Job shop scheduling problems with stochastic processing and sequence-dependent setup times and dynamic arrival of job types are real world and most complex among various scheduling problems. This paper extends the previous work of Sharma and Jain (2015) by assessing the performance of proposed four setups oriented dispatching rules with respect to bench mark dispatching rule taken from literatu...

scheduling for job shop is very important in both fields of production management and combinatorial op-timization. however, it is quite difficult to achieve an optimal solution to this problem with traditional opti-mization approaches owing to the high computational complexity. the combination of several optimization criteria induces additional complexity and new problems. in this paper, we pro...

In this paper, mathematical models for permutation flow shop scheduling and job shop scheduling problems are proposed. The first problem is based on a mixed integer programming model. As the problem is NP-complete, this model can only be used for smaller instances where an optimal solution can be computed. For large instances, another model is proposed which is suitable for solving the problem ...

In this paper, a new approach to overlapping operations in job shop scheduling is presented. In many job shops, a customer demand can be met in more than one way for each job, where demand determines the quantity of each finished job ordered by a customer. In each job, embedded operations can be performed due to overlapping considerations in which each operation may be overlapped with the other...

We describe the application of simulation and statistical analysis to the problem of optimization of palletization in a production job shop. These analyses enabled management responsible for the production of this job shop to optimize the number of pallets, the size (carrying capacity) of the pallets, the associated workin-process levels, and policy regarding level of safetystock kept on hand a...

Within the pede project we investigate the generation and execution of plans in distributed environments. Multiple, communicating agents perform tasks like generating process plans and machine schedules and controlling their execution. A general problem in such environments is how to handle unexpected events like high priority jobs and machine breakdowns. A cooperative approach, where agents co...

The flexible job shop scheduling problem (FJSP) is one of the most difficult NP-hard combinatorial optimization problems. It is extremely difficult to solve the FJSP with the disturbances of manufacturing environment, which is always regarded as the flexible job shop online scheduling problem. This paper proposes a new method based on Process-Tree to solve this type of scheduling problem. Proce...