Single facility scheduling with nonlinear processing times
Computers and Industrial Engineering
Scheduling deteriorating jobs on a single processor
Operations Research
Scheduling jobs under simple linear deterioration
Computers and Operations Research
Three scheduling problems with deteriorating jobs to minimize the total completion time
Information Processing Letters
A Multiple-Criterion Model for Machine Scheduling
Journal of Scheduling
Information Processing Letters
Scheduling Problems with Two Competing Agents
Operations Research
A note on the scheduling with two families of jobs
Journal of Scheduling
Multi-agent scheduling on a single machine to minimize total weighted number of tardy jobs
Theoretical Computer Science
Branch-and-bound and simulated annealing algorithms for a two-agent scheduling problem
Expert Systems with Applications: An International Journal
A two-machine flowshop problem with two agents
Computers and Operations Research
Single-machine scheduling problems with two agents competing for makespan
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part I
Computers and Industrial Engineering
Genetic algorithms for a two-agent single-machine problem with release time
Applied Soft Computing
Two-agent singe-machine scheduling with release times to minimize the total weighted completion time
Computers and Operations Research
Journal of Intelligent Manufacturing
A study of the single-machine two-agent scheduling problem with release times
Applied Soft Computing
A tabu method for a two-agent single-machine scheduling with deterioration jobs
Computers and Operations Research
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This paper considers the two-agent scheduling problems with linear deteriorating jobs to be processed on a single machine. By a deteriorating job we mean that the processing time of the job is a function of its starting time. Two agents compete for the usage of a common single machine and each agent has his own criterion to optimize. There are four objective functions: makespan, maximum lateness, maximum cost, and total completion time. Some basic properties of two different scheduling problems to minimize the objective function for one agent with a constraint on the other agent's objective function are proved. Based on these properties, the optimal algorithms with polynomial time are presented for two different scheduling problems, respectively.