Petri net-based scheduling strategy and energy modeling for the cylinder block remanufacturing under uncertainty

doi:10.1016/j.rcim.2019.03.004

CORC > 兰州理工大学 > 兰州理工大学 > 机电工程学院

	Petri net-based scheduling strategy and energy modeling for the cylinder block remanufacturing under uncertainty
	Peng, Shitong 1,4; Li, Tao 1; Zhao, Jiali 2; Guo, Yanchun 1; Lv, Shengping 3; Tan, George Z.4; Zhang, Hongchao 1,4
刊名	ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
	2019-08
卷号	58 页码:208-219
关键词	Remanufacturing scheduling Petri net A(star) algorithm Engine remanufacturing Remanufacturing uncertainty
ISSN号	0736-5845
DOI	10.1016/j.rcim.2019.03.004
英文摘要	Scheduling has been extensively applied to remanufacturing for the organization of production activities, and it would directly influence the overall performance of the remanufacturing system. Since the conjunction of Petri net (PN) and artificial intelligence (AI) searching technique was demonstrated to be a promising approach to solve the scheduling problems in manufacturing systems, this study built a transition timed PN combined with heuristic A(star) algorithm to deal with the scheduling in remanufacturing. The PN was applied to the formulation of remanufacturing process, while the A(star) algorithm generated and searched for an optimal or near optimal feasible schedule through the reachability graph (RG). We took the high value-added cylinder block of engine as a research object to minimize the makespan of reprocessing a batch used components. This scheduling problem involved in batch and parallel processing machines, and the uncertain processing time and routes will complicate the scheduling problem. Three heuristics were designed to guide the search process through the RG in PN. To avoid state space explosion and select promising nodes, a new rule-based dynamic window was developed to improve the efficiency of the algorithm, and this rule was examined to outperform the conventional one. Under the determined scheduling strategy, the dynamic behavior of energy consumption rate during the processing time was simulated using PN tool, which would assist remanufacturers to develop potential strategies for energy efficiency improvement. Considering the uncertainty of processing time, the Monte Carlo simulation method was adopted to statistically analyze the distributions of makespan and total energy consumption, which would contribute to the comprehensive production scheduling and energy profile assessment for sustainable re manufacturing.
资助项目	Natural Science Foundation of Guangdong, China[2014A030310345]
WOS研究方向	Computer Science ; Engineering ; Robotics
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000466621600018
状态	已发表
内容类型	期刊论文
源URL	[http://119.78.100.223/handle/2XXMBERH/31697]
专题	机电工程学院
通讯作者	Li, Tao
作者单位	1.Dalian Univ Technol, Inst Sustainable Design & Mfg, Dalian, Peoples R China 2.Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou, Gansu, Peoples R China 3.South China Agr Univ, Coll Engn, Guangzhou, Guangdong, Peoples R China 4.Texas Tech Univ, Dept Ind Mfg & Syst Engn, Lubbock, TX 79409 USA
推荐引用方式 GB/T 7714	Peng, Shitong,Li, Tao,Zhao, Jiali,et al. Petri net-based scheduling strategy and energy modeling for the cylinder block remanufacturing under uncertainty[J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING,2019,58:208-219.
APA	Peng, Shitong.,Li, Tao.,Zhao, Jiali.,Guo, Yanchun.,Lv, Shengping.,...&Zhang, Hongchao.(2019).Petri net-based scheduling strategy and energy modeling for the cylinder block remanufacturing under uncertainty.ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING,58,208-219.
MLA	Peng, Shitong,et al."Petri net-based scheduling strategy and energy modeling for the cylinder block remanufacturing under uncertainty".ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING 58(2019):208-219.