Solution algorithms for minimizing the total tardiness with budgeted processing time uncertainty
نویسندگان
چکیده
منابع مشابه
Minimizing Total Weighted Tardiness in a Flexible Flowshop Environment Considering Batch Processing Machines
Scheduling in production environments is used as a competitive tool to improve efficiency and respond to customer requests. In this paper, a scheduling problem is investigated in a three-stage flexible flowshop environment with the consideration of blocking and batch processing. This problem has been inspired by the charging and packaging line of a large battery manufacturer. In this environmen...
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Given a single machine and a set of jobs with due dates, the classical NP-hard problem of scheduling to minimize total tardiness is a well-understood one. Lawler gave an FPTAS for it some twenty years ago. If the jobs have positive weights the problem of minimizing total weighted tardiness seems to be considerably more intricate. In this paper, we give some of the first approximation algorithms...
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In this note, we correct a mistake which was made in the paper “Minimizing Total Tardiness on Parallel Machines with Preemptions’ (see Journal of Scheduling, Vol. 15, 2012, 193 200).
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The considered problem is the scheduling of a set of N jobs on M identical parallel machines in order to minimize the total tardiness without any preemption or splitting. Each job has its own processing time, release date and due date. All the machines are considered identical (with same speed) and available during all the scheduling period. This problem is NP-hard. An exact resolution, an Ant ...
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A single machine scheduling problem is described which covers earliness costs, tardiness costs and setup costs. Setups are needed whenever a switch is made to a job of another product family. All jobs within the same product family have the same processing time. Besides setup costs also setup times are involved. Idle time is allowed, preemption is not allowed. Both a mixed integer programming f...
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ژورنال
عنوان ژورنال: European Journal of Operational Research
سال: 2020
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2019.10.037