Hierarchical optimization with double due dates on an unbounded parallel-batching machine to minimize maximum lateness

4OR ◽  
2015 ◽  
Vol 14 (2) ◽  
pp. 153-164 ◽  
Author(s):  
Cheng He ◽  
Hao Lin
2018 ◽  
Vol 52 (1) ◽  
pp. 55-60
Author(s):  
Cheng He ◽  
Li Li

This paper studies a hierarchical optimization problem on an unbounded parallel-batching machine, in which two objective functions are maximum costs, representing different purposes of two decision-makers. By a hierarchical optimization problem, we mean the problem of optimizing the secondary criterion under the constraint that the primary criterion is optimized. A parallel-batching machine is a machine that can handle several jobs in a batch in which all jobs start and complete respectively at the same time. We present an O(n4)-time algorithm for this hierarchical scheduling problem.


1975 ◽  
Vol 23 (3) ◽  
pp. 475-482 ◽  
Author(s):  
Graham McMahon ◽  
Michael Florian
Keyword(s):  

1983 ◽  
Vol 34 (7) ◽  
pp. 615 ◽  
Author(s):  
Jozef Grabowski ◽  
Ewa Skubalska ◽  
Czeslaw Smutnicki

Author(s):  
Alexander A. Lazarev ◽  
Nikolay Pravdivets

In this chapter, we consider the single machine scheduling problem with given release dates, processing times, and due dates with two objective functions. The first one is to minimize the maximum lateness, that is, maximum difference between each job due date and its actual completion time. The second one is to minimize the maximum completion time, that is, to complete all the jobs as soon as possible. The problem is NP-hard in the strong sense. We provide a polynomial time algorithm for constructing a Pareto-optimal set of schedules on criteria of maximum lateness and maximum completion time, that is, problem 1 ∣ r j ∣ L max , C max , for the subcase of the problem: d 1 ≤ d 2 ≤ … ≤ d n ; d 1 − r 1 − p 1 ≥ d 2 − r 2 − p 2 ≥ … ≥ d n − r n − p n .


2017 ◽  
Vol 258 (2) ◽  
pp. 478-490 ◽  
Author(s):  
Jun-Qiang Wang ◽  
Guo-Qiang Fan ◽  
Yingqian Zhang ◽  
Cheng-Wu Zhang ◽  
Joseph Y.-T. Leung

2014 ◽  
Vol 31 (04) ◽  
pp. 1450025 ◽  
Author(s):  
CHENG HE ◽  
HAO LIN ◽  
JINJIANG YUAN ◽  
YUNDONG MU

In this paper, the problem of minimizing maximum cost and makespan simultaneously on an unbounded parallel-batching machine is considered. An unbounded parallel-batching machine is a machine that can handle any number of jobs in a batch and the processing time of a batch is the largest processing time of jobs in the batch. The main goal of a multicriteria problem is to find Pareto optimal solutions. We present a polynomial-time algorithm to produce all Pareto optimal solutions of this bicriteria scheduling problem.


2010 ◽  
Vol 411 (7-9) ◽  
pp. 1140-1145 ◽  
Author(s):  
Shenpeng Lu ◽  
Haodi Feng ◽  
Xiuqian Li

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