Production scheduling has a major impact on the productivity of the manufacturing process. Recently, scheduling problems with deteriorating jobs have attracted increasing attentions from researchers. In many practical...Production scheduling has a major impact on the productivity of the manufacturing process. Recently, scheduling problems with deteriorating jobs have attracted increasing attentions from researchers. In many practical situations,it is found that some jobs fail to be processed prior to the pre-specified thresholds,and they often consume extra deteriorating time for successful accomplishment. Their processing times can be characterized by a step-wise function. Such kinds of jobs are called step-deteriorating jobs. In this paper,parallel machine scheduling problem with stepdeteriorating jobs( PMSD) is considered. Due to its intractability,four different mixed integer programming( MIP) models are formulated for solving the problem under consideration. The study aims to investigate the performance of these models and find promising optimization formulation to solve the largest possible problem instances. The proposed four models are solved by commercial software CPLEX. Moreover,the near-optimal solutions can be obtained by black-box local-search solver LocalS olver with the fourth one. The computational results show that the efficiencies of different MIP models depend on the distribution intervals of deteriorating thresholds, and the performance of LocalS olver is clearly better than that of CPLEX in terms of the quality of the solutions and the computational time.展开更多
In this paper,we consider the single-machine scheduling with step-deteriorating jobs and rejection.Each job is either rejected by paying a rejection penalty,or accepted and processed on the single machine,and the actu...In this paper,we consider the single-machine scheduling with step-deteriorating jobs and rejection.Each job is either rejected by paying a rejection penalty,or accepted and processed on the single machine,and the actual processing time of each accepted job is a step function of its starting time and the common deteriorating date.The objective is to minimize the makespan of the accepted jobs plus the total penalty of the rejected jobs.For the case of common deteriorating penalty,we first show that the problem is NP-hard in the ordinary sense.Then we present two pseudo-polynomial algorithms and a 2-approximation algorithm.Furthermore,we propose a fully polynomial time approximation scheme.For the case of common normal processing time,we present two pseudo-polynomial time algorithms,a 2-approximation algorithm and a fully polynomial time approximation scheme.展开更多
基金National Natural Science Foundation of China(No.51405403)the Fundamental Research Funds for the Central Universities,China(No.2682014BR019)the Scientific Research Program of Education Bureau of Sichuan Province,China(No.12ZB322)
文摘Production scheduling has a major impact on the productivity of the manufacturing process. Recently, scheduling problems with deteriorating jobs have attracted increasing attentions from researchers. In many practical situations,it is found that some jobs fail to be processed prior to the pre-specified thresholds,and they often consume extra deteriorating time for successful accomplishment. Their processing times can be characterized by a step-wise function. Such kinds of jobs are called step-deteriorating jobs. In this paper,parallel machine scheduling problem with stepdeteriorating jobs( PMSD) is considered. Due to its intractability,four different mixed integer programming( MIP) models are formulated for solving the problem under consideration. The study aims to investigate the performance of these models and find promising optimization formulation to solve the largest possible problem instances. The proposed four models are solved by commercial software CPLEX. Moreover,the near-optimal solutions can be obtained by black-box local-search solver LocalS olver with the fourth one. The computational results show that the efficiencies of different MIP models depend on the distribution intervals of deteriorating thresholds, and the performance of LocalS olver is clearly better than that of CPLEX in terms of the quality of the solutions and the computational time.
基金supported by the National Natural Science Foundation of China(Nos.12271295 and 12001313)the Provincial Natural Science Foundation of Shandong(No.ZR2022MA019).
文摘In this paper,we consider the single-machine scheduling with step-deteriorating jobs and rejection.Each job is either rejected by paying a rejection penalty,or accepted and processed on the single machine,and the actual processing time of each accepted job is a step function of its starting time and the common deteriorating date.The objective is to minimize the makespan of the accepted jobs plus the total penalty of the rejected jobs.For the case of common deteriorating penalty,we first show that the problem is NP-hard in the ordinary sense.Then we present two pseudo-polynomial algorithms and a 2-approximation algorithm.Furthermore,we propose a fully polynomial time approximation scheme.For the case of common normal processing time,we present two pseudo-polynomial time algorithms,a 2-approximation algorithm and a fully polynomial time approximation scheme.
