One-processor scheduling with symmetric earliness and tardiness penalties
Mathematics of Operations Research
Scheduling Algorithms
The One-Machine Problem with Earliness and Tardiness Penalties
Journal of Scheduling
Computers and Operations Research
Earliness-tardiness scheduling with setup considerations
Computers and Operations Research
Minimizing the earliness-tardiness costs on a single machine
Computers and Operations Research
An improved earliness-tardiness timing algorithm
Computers and Operations Research
Lagrangian bounds for just-in-time job-shop scheduling
Computers and Operations Research
Computers and Operations Research
Optimal Real-Time Traffic Control in Metro Stations
Operations Research
The one-machine just-in-time scheduling problem with preemption
Discrete Optimization
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This paper deals with the problem of finding a minimum cost schedule for a set of dependent activities when a convex cost function is attached to the starting time of each activity. A first optimality necessary and sufficient condition bearing on the head and tail blocks of a schedule is first established. A second such condition that uses the spanning active equality trees of a schedule leads to design a generic algorithm for the general case. When the cost function is the usual earliness-tardiness linear function with assymetric and independent penalty coefficients, the problem is shown to be solved in O(n max{n,m}). Finally, the special cases when the precedence graph is an intree or a family of chains are then also shown to be solved by efficient polynomial algorithms.