In this paper, we study the reactive scheduling problems in a stochastic manufacturing environment. Speci®cally, we test the several scheduling policies under machine breakdowns in a classical job shop system. In addition, we measure the e€ect of system size and type of work allocation (uniform and bottleneck) on the system performance. The performance of the system is measured for the mean tar...

Dynamic job shop scheduling that considers random job arrivals and machine breakdowns is studied in this paper. Considering an event driven policy rescheduling, is triggered in response to dynamic events by variable neighborhood search (VNS). A trained artificial neural network (ANN) updates parameters of VNS at any rescheduling point. Also, a multi-objective performance measure is applied as o...

Collaborative information seeking is integral to many professional activities. In hospital work, the medication process encompasses continual seeking for information and collaborative grounding of information. This study investigates breakdowns in collaborative information seeking through analyses of the use of the electronic medication record adopted in a Danish healthcare region and of the re...

Maintenance for wind turbines has been transformed using supervised machine learning techniques. This method of automatic and autonomous can identify, monitor, detect electrical mechanical components predict, detect, anticipate their degeneration. Using a classifier frequency analysis, we simulate two failure states caused by bearing vibrations. Implementing KNN facilitates efficient monitoring...

The paper gives a review of the literature related to the stability measures and describes a new concept with exhaustive simulation results. Predictive production schedules are calculated by a scheduler based on a genetic algorithm, hybridized with a modified Giffler&Thompson algorithm. By applying the proposed scheduler and executing the resulted schedules by simulation, the solution methods f...

We consider a machine repair problem with server breakdowns, in which an unreliable server (repairman) operates the threshold recovery policy. When there are no failed machines in the system, the server leaves for a vacation. If the server returns from a vacation to find no failed machines in the system, he/she immediately takes another vacation. And the server continues in this manner until he...

BACKGROUND Because the movement of stock prices is not only ubiquitous in financial markets but also crucial for investors, extensive studies have been done to understand the law behind it. In particular, since the financial crisis in 2008, researchers have a more interest in investigating large market volatilities in order to grasp changing market trends. METHODOLOGY/PRINCIPAL FINDINGS In th...

Two experiments were carried out to estimate the effect of sound feedback (e.g., auditory alarms) on the operator's work of a man-machine system. The first experiment tested the hypothesis of additional, but redundant auditory feedback. Twelve subjects were instructed to define queries on a simple database. In this experiment, we could not find a general superiority of auditory feedback. In a s...

Inappropriate machining conditions such as cutting forces cause tool failures, poor surface quality and worst of all machine breakdowns. This may be avoided by using optimal machining parameters, e.g. feed-rate, and continuing to monitor it throughout the machining process. To optimize feed-rate, we propose a system that consists of an optimisation module, a process control module and a knowled...