efficient and on-time maintenance plays a crucial role inreducing cost and increasing the market share of an industrial unit. preventivemaintenance is a broad term that encompasses a set of activitiesaimed at improving the overall reliability and availability of a systembefore machinery breakdown. the previous studies have addressed thescheduling of preventive maintenance. these studies have co...

In this paper, an efficient extension of network simplex algorithm is presented. In static scheduling problem, where there is no change in situation, the challenge is that the large problems can be solved in a short time. In this paper, the Static Scheduling problem of Automated Guided Vehicles in container terminal is solved by Network Simplex Algorithm (NSA) and NSA+, which extended the stand...

in this paper, based on the background of cost-oriented assembly line balancing problems, a novel mathematical model for scheduling and balancing the assembly line is offered that with the combination of task sequence-dependent setup time, parallel stations and resource constraint, minimizes the operational and investment costs of assembly system. due to the complexity of the problem, the equat...

In this paper we study a single machine scheduling problem with the objective of minimizing sum completion times. Each given jobs is either short or long. However processing times are initially hidden to algorithm, but can be tested. This done by executing time oracle, which reveals job. test occupies unit in schedule, therefore algorithm must decide for it will call oracle. The value resulting...

The integrated scheduling problem is a classical combinatorial optimization problem. existing algorithms generally adopt the short-time strategy that does not fully consider impact of degree process parallelism on results. In order to further optimize total processing time product and utilization rate device, an algorithm based end time-driven long-time proposed. proposed sets up separate candi...

Abstract— High-performance computing and vast storage are two key factors required for executing data-intensive applications. In comparison with traditional distributed systems like data grid, cloud computing provides these factors in a more affordable, scalable and elastic platform. Furthermore, accessing data files is critical for performing such applications. Sometimes accessing data becomes...