1999
DOI: 10.1016/s0305-0548(98)00051-3
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Early/tardy scheduling with sequence dependent setups on uniform parallel machines

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Cited by 102 publications
(50 citation statements)
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“…Furthermore, in the third world countries, many cases of violations of the rights, such as incorrect calculation of bills (increasing penalties, calculation on power capability, etc. ), an unreasonable restriction of power supply, are not adequately addressed by the electricity consumers (Balakrishnan, Kanet, & Sridharan, 1999). In this context, public in the Badulla region had 13018 complaints against Ceylon Electricity Board regarding to the service quality as they provide their services, which have been extracted from the Record Book in complain-2014, Ceylon electricity board, Badulla.…”
Section: Background Of the Studymentioning
confidence: 99%
“…Furthermore, in the third world countries, many cases of violations of the rights, such as incorrect calculation of bills (increasing penalties, calculation on power capability, etc. ), an unreasonable restriction of power supply, are not adequately addressed by the electricity consumers (Balakrishnan, Kanet, & Sridharan, 1999). In this context, public in the Badulla region had 13018 complaints against Ceylon Electricity Board regarding to the service quality as they provide their services, which have been extracted from the Record Book in complain-2014, Ceylon electricity board, Badulla.…”
Section: Background Of the Studymentioning
confidence: 99%
“…Note that the model extends that of Balakrishnan et al (1999) by additionally representing the common due-date assignment. The following notations are used in the formulation.…”
Section: Problem Descriptionmentioning
confidence: 99%
“…Minimize Sum of Tardiness/Earliness Balakrishnan, Kanet and Sridharan [73] have researched the problem of scheduling jobs uniform parallel machines to minimize the sum of earliness and tardiness costs. Jobs are assumed to arrive in a dynamic albeit deterministic manner and have non-identical due dates.…”
Section: Online Scheduling Of Preemptive Jobs Tomentioning
confidence: 99%