2,686 research outputs found

    Due-date assignment and single machine scheduling with deteriorating jobs

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    Author name used in this publication: T. C. E. ChengAuthor name used in this publication: L. KangAuthor name used in this publication: C. T. Ng2003-2004 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

    Due-date assignment and single machine scheduling with deteriorating jobs

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    Due-date assignment and parallel-machine scheduling with deteriorating jobs

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    Author name used in this publication: T. C. E. ChengAuthor name used in this publication: L. Y. KangAuthor name used in this publication: C. T. Ng2007-2008 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

    Scheduling Jobs and a Variable Maintenance on a Single Machine with Common Due-Date Assignment

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    We investigate a common due-date assignment scheduling problem with a variable maintenance on a single machine. The goal is to minimize the total earliness, tardiness, and due-date cost. We derive some properties on an optimal solution for our problem. For a special case with identical jobs we propose an optimal polynomial time algorithm followed by a numerical example

    Parallel-Machine Scheduling Problems with Past-Sequence-Dependent Delivery Times and Aging Maintenance

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    We consider parallel-machine scheduling problems with past-sequence-dependent (psd) delivery times and aging maintenance. The delivery time is proportional to the waiting time in the system. Each machine has an aging maintenance activity. We develop polynomial algorithms to three versions of the problem to minimize the total absolute deviation of job completion times, the total load, and the total completion time

    A note on optimization in deteriorating systems using scheduling problems with the aging effect and resource allocation models

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    AbstractThis paper concerns scheduling problems with the aging effect and additional resource allocation. A measurable result of the aging phenomenon is that the time required to perform a job increases whereas the additional resource allocation allows one to decrease it. As an example of a deteriorating system that can be described and optimized by the application of the models and algorithms considered, we choose the pickling process, where cleaning of metal items decreases the efficiency of the pickling (cleaning) bath (i.e., one containing an active substance), whereas heating it up can improve the efficiency. In particular, we focus on the optimization problems for such systems and model them as single-machine scheduling problems with job processing times dependent on the fatigue of a machine and on the allocation of additional resources. The objectives considered are the minimization of time criteria (the maximum completion time and the maximum lateness) under a given resource consumption as well as the minimization of the resource consumption under given time criteria. The computational complexity of the problems is determined and solution properties are proved. On the basis of these, we construct optimal polynomial time algorithms for some cases of the problems considered
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