Scheduling uniform parallel machines subject to a secondary resource to minimize the number of tardy jobs |
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Authors: | Alex J. Ruiz-Torres,Francisco J. Ló pez,Johnny C. Ho |
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Affiliation: | 1. Department of Information and Decision Sciences, College of Business Administration, University of Texas at El Paso, El Paso, TX 79968, United States;2. D. Abbott Turner College of Business, Columbus State University, Columbus, GA 31907, United States |
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Abstract: | ![]() This research investigates the problem of scheduling jobs on a set of parallel machines where the speed of the machines depends on the allocation of a secondary resource. The secondary resource is fixed in quantity and is to be allocated to the machines at the start of the schedule. The scheduling objective is to minimize the number of tardy jobs. Two versions of the problem are analyzed. The first version assumes that the jobs are pre-assigned to the machines, while the second one takes into consideration the task of assigning jobs to the machines. The paper proposes an Integer Programming formulation to solve the first case and a set of heuristics for the second. |
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Keywords: | Scheduling Parallel machines Dual resource constrained scheduling Number of tardy jobs |
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