Single facility scheduling with nonlinear processing times
Computers and Industrial Engineering
Scheduling deteriorating jobs on a single processor
Operations Research
V-shaped policies for scheduling deteriorating jobs
Operations Research
Scheduling jobs under simple linear deterioration
Computers and Operations Research
Scheduling jobs with step-deterioration; minimizing makespan on a single- and multi-machine
Computers and Industrial Engineering
Scheduling linearly deteriorating jobs on multiple machines
Computers and Industrial Engineering - Special issue: new advances in analysis of manufacturing systems
Three scheduling problems with deteriorating jobs to minimize the total completion time
Information Processing Letters
Computers and Operations Research
Single-machine scheduling problems with deteriorating jobs and learning effects
Computers and Industrial Engineering
A deteriorating jobs problem with quadratic function of job lateness
Computers and Industrial Engineering
Single-machine scheduling with a nonlinear deterioration function
Information Processing Letters
Minimizing the number of tardy jobs under piecewise-linear deterioration
Computers and Industrial Engineering
Mathematical and Computer Modelling: An International Journal
Online makespan scheduling of linear deteriorating jobs on parallel machines
TAMC'12 Proceedings of the 9th Annual international conference on Theory and Applications of Models of Computation
Scheduling linear deteriorating jobs to minimize the number of tardy jobs
Journal of Global Optimization
Journal of Combinatorial Optimization
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This paper investigates a single-machine deteriorating job scheduling problem with job release times where its objective is to minimize the makespan. The problem is known to be NP-hard. Therefore, a branch-and-bound algorithm incorporating with several dominance properties and lower bounds is proposed to derive the optimal solution for the problem. In addition, easy-implemented heuristic algorithms are also provided to obtain the near-optimal solution. The computational experiments indicate that the branch-and-bound algorithm can solve most of the medium-job-sized problems within a reasonable time, and the heuristic is quite accurate with an average error percentage of less than 0.3%.