We study the problems of scheduling jobs, with different release dates and equal processing times, on two types of batching machines. All jobs of the same batch start and are completed simultaneously. On a serial batching machine, the length of a batch equals the sum of the processing times of its jobs and, when a new batch starts, a constant setup time s occurs. On a parallel batching machine,...

Processing and reviewing nightly test execution failure logs for large industrial systems is a tedious activity. Furthermore, multiple failures might share one root/common cause during sessions, the review therefore require redundant efforts. This paper presents LogGrouper approach automated grouping of to aid analysis enabling processing each log group as batch. uses state-of-art natural langu...

Domain filtering is a powerful technique for reduction of the search space during solving combinatorial problems like scheduling. In this paper we present several filtering algorithms designed specifically for scheduling in batch processing environments with sequence dependent setup times. We extend two known algorithms, namely edge finding and not-first/not-last technique, and we present a new...

BACKGROUND In today's consumer perception of industrial processes and food production, aspects like food quality, human health, environmental safety, and energy security have become the keywords. Therefore, much effort has been extended toward adding value to biowastes of agri-food industries through biorefinery processing approaches. This study focused, for the first time, on the valorization ...

In this paper, we report on an operational procedure for use by the Corps of Engineers to acquire land use information for hydrologic planning purposes. The operational constraints preclude the use of dedicated, interactive image processing facilities. The procedure, which is summarized in detail, combines manual interpretation techniques and the batch-mode computer analysis of Landsat digital ...

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The classical multi-level capacitated lot-sizing problem is often not suitable to correctly capture resource requirements and precedence relations. We tackle this issue by explicitly modeling these two aspects. Two models are presented; one considering batch production and the other one allowing lot-streaming. Comparisons with traditional models demonstrate the capability of the new approach to...

Apache Flink1 is an open-source system for processing streaming and batch data. Flink is built on the philosophy that many classes of data processing applications, including real-time analytics, continuous data pipelines, historic data processing (batch), and iterative algorithms (machine learning, graph analysis) can be expressed and executed as pipelined fault-tolerant dataflows. In this pape...