TY - JOUR
T1 - Scheduling on parallel dedicated machines with job rejection
AU - Mor, Baruch
AU - Mosheiov, Gur
N1 - Publisher Copyright:
© 2024 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024
Y1 - 2024
N2 - We study scheduling problems on parallel dedicated machines. Thus, each job can be processed on one specific machine only. The option of job-rejection is considered, and the total permitted rejection cost of all the jobs is bounded. Six scheduling problems are solved: ((Formula presented.)) minimising makespan, ((Formula presented.)) minimising makespan with release-dates, ((Formula presented.)) minimising total completion time, ((Formula presented.)) minimising total weighted completion time, ((Formula presented.)) minimising total load, and ((Formula presented.)) minimising maximum tardiness. Pseudo-polynomial dynamic programming algorithms are introduced for all these NP-hard problems.
AB - We study scheduling problems on parallel dedicated machines. Thus, each job can be processed on one specific machine only. The option of job-rejection is considered, and the total permitted rejection cost of all the jobs is bounded. Six scheduling problems are solved: ((Formula presented.)) minimising makespan, ((Formula presented.)) minimising makespan with release-dates, ((Formula presented.)) minimising total completion time, ((Formula presented.)) minimising total weighted completion time, ((Formula presented.)) minimising total load, and ((Formula presented.)) minimising maximum tardiness. Pseudo-polynomial dynamic programming algorithms are introduced for all these NP-hard problems.
KW - Scheduling
KW - dynamic programming algorithm
KW - makespan
KW - parallel dedicated machines
KW - total completion time
KW - total load
UR - http://www.scopus.com/inward/record.url?scp=85189516419&partnerID=8YFLogxK
U2 - 10.1080/00207543.2024.2314714
DO - 10.1080/00207543.2024.2314714
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AN - SCOPUS:85189516419
SN - 0020-7543
VL - 62
SP - 6933
EP - 6940
JO - International Journal of Production Research
JF - International Journal of Production Research
IS - 19
ER -