For most cases, people use an ecrypted mode when sending personal information to a server, via an electronic form. Whenever shopping is done online, the browser uses cryptographic methods to send to the server the credit card number and private information. Thanks to the surprising development...

This paper provides an application oriented analysis of a multiple constraint scheduling procedure called SLSP, which is designed to batch and sequence production orders simultaneously. The Simultaneous Lotsizing and Scheduling Procedure (SLSP) is easy to implement in a Shop Floor Control System...

The vehicle routing problem with stochastic demand (VRPSD) is one of the most important problems in distribution and transportation. The classical models for the vehicle routing problem with stochastic demand are the chance-constrained model and the penalty model. This paper proposes the hybrid...

In this study, we deal with a k-stage hybrid flow shop scheduling problem under availability constraints (HFSPAC). In such a problem, machines are not continuously available due to preventive maintenance tasks. Our study aims to provide a good approximate solution to this specific problem with...

Predicting job completion time is an important but difficult task to a semiconductor fabrication plant. To further enhance its effectiveness, an evolving hybrid neural approach is proposed in this study. To evaluate the effectiveness of the proposed approach, Production Simulation (PS) is also...

Manufacturing execution system (MES) provides a common and single system to support most manufacturing processes. However, MES applications do not address all of the manufacturing execution processes required to replenish the supply chain while dynamically responding to unpredicted change and...

This paper considers the single machine scheduling problem with linear earliness and quadratic tardiness costs. The research on the version with an inserted idle time focused on an exact approach, while several heuristics were already proposed for the version with no idle time. These heuristics...

This article presents an exact cooperative method for the solution of the multidimensional knapsack problem (MKP) which combines dynamic programming and branch and bound. Our method makes cooperate a dynamic programming heuristics based on surrogate relaxation and a branch and bound procedure....

In this paper, we have proposed a hybrid permutation-coded steady-state genetic algorithm for a single machine scheduling problem with earliness and tardiness costs and no machine idle time. The steady-state genetic algorithm generates schedules, which are further improved by successive...