Scheduling n jobs on one machine to minimize the maximum tardiness with minimum number
References (15)
A multiple objective decision theoretic approach to one-machine scheduling problems
Comput. Ops Res.
(1980)- et al.
Sequencing with due-dates and early start times to minimize maximum tardiness
Naval Res. Logistics Quart.
(1974) - et al.
Scheduling with earliest start and due date constraints
Naval Res. Logistics Quart.
(1971) Scheduling to minimize the weighted sum of completion times with secondary criteria
Naval Res. Logistics Quart.
(1976)- et al.
Theory of Scheduling
(1967) One machine sequencing to minimize mean flow time with minimum number tardy
Naval Res. Logistics Quart.
(1975)A note on a scheduling problem with dual criteria
Naval Res. Logistics Quart.
(1975)
Cited by (54)
Flow shop scheduling with two distinct job due dates
2022, Computers and Industrial EngineeringAn improved particle swarm optimization with decline disturbance index (DDPSO) for multi-objective job-shop scheduling problem
2014, Computers and Operations ResearchComplexity of two dual criteria scheduling problems
2007, Operations Research LettersBi-criteria scheduling problems: Number of tardy jobs and maximum weighted tardiness
2007, European Journal of Operational ResearchCitation Excerpt :From the above example, we can see that there is a need for further research in multi-criteria scheduling problems. Indeed, these problems have received more attention in the last three decades; see [3–8,13,19–21]. In this paper we are concerned with scheduling problems with two criteria only.
Multicriteria scheduling
2005, European Journal of Operational ResearchSolving multi-objective production scheduling problems using metaheuristics
2005, European Journal of Operational ResearchCitation Excerpt :the objectives considered. Note that in Shanthikumar's paper [18], a hierarchical optimization is made with NT as main objective; in papers of Selen–Hott [17], Ho–Chang [5] and Rajendran [15], a linear aggregated function of the objectives is optimized; the solutions obtained by these authors;
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Dr. J. G. Shanthikumar is an Assistant Professor of Industrial Engineering and Operations Research at Syracuse University. He holds a B.Sc degree in Mechanical Engineering from the University of Sri Lanka, and an M.A. Sc. and Ph.D. in Industrial Engineering from the University of Toronto. He has published in the areas of production systems modelling and analysis, queueing theory, reliability, scheduling and simulation in AIIE Transactions, Australian Journal of Statistics. Engineer (Sri Lanka), European Journal of Operational Research, IEEE Transaction of Computers, INFOR, International Journal of Production Research, Journal of Applied Probability, Journal of Operations Research Society of Japan. Microelectronics and Reliability. Naval Research Logistic Quarterly, Operations Research, and Performance Evaluation.