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Pankaj SHARMA,Ajai JAIN
《机械工程前沿(英文)》 2014年 第9卷 第4期 页码 380-389 doi: 10.1007/s11465-014-0315-9
Stochastic dynamic job shop scheduling problem with consideration of sequence-dependent setup times are among the most difficult classes of scheduling problems. This paper assesses the performance of nine dispatching rules in such shop from makespan, mean flow time, maximum flow time, mean tardiness, maximum tardiness, number of tardy jobs, total setups and mean setup time performance measures viewpoint. A discrete event simulation model of a stochastic dynamic job shop manufacturing system is developed for investigation purpose. Nine dispatching rules identified from literature are incorporated in the simulation model. The simulation experiments are conducted under due date tightness factor of 3, shop utilization percentage of 90 % and setup times less than processing times. Results indicate that shortest setup time (SIMSET) rule provides the best performance for mean flow time and number of tardy jobs measures. The job with similar setup and modified earliest due date (JMEDD) rule provides the best performance for makespan, maximum flow time, mean tardiness, maximum tardiness, total setups and mean setup time measures.
关键词: scheduling stochastic dynamic job shop sequence-dependent setup times dispatching rule simulation
Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level
Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG
《机械工程前沿(英文)》 2019年 第14卷 第4期 页码 474-488 doi: 10.1007/s11465-019-0560-z
关键词: remanufacturing scheduling adaptive genetic algorithm energy efficiency sustainable remanufacturing hormone modulation mechanism
A job-insertion heuristic for minimizing the mean flowtime in dynamic flowshops
Guang GUO, Bo WU, Shuzi YANG
《机械工程前沿(英文)》 2011年 第6卷 第2期 页码 197-202 doi: 10.1007/s11465-011-0211-5
A new adaptive job-insertion based heuristic is presented to minimize the mean flowtime in a dynamic flowshop consisting of machines. Job orders arrive to the system randomly, and the job arrival or release dates are not known in advance. The heuristic is derived by inserting new jobs into the scheduled sequence as needed when the machine becomes free. Computation results indicate that the proposed heuristic performs 2.7%–10.8% better than the SPT dispatching rule, which is currently one of the most effective methods for minimizing the mean flowtime in dynamic flowshops.
关键词: scheduling dynamic flowshops flowtime heuristic mean flowtime
Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON
《机械工程前沿(英文)》 2020年 第15卷 第2期 页码 338-350 doi: 10.1007/s11465-019-0572-8
关键词: Low-carbon manufacturing carbon efficiency multi-objective optimization two-stage scheduling job shop
Balasubramaniyan SARAVANAN, Surbhi SIKRI, K. S. SWARUP, D. P. KOTHARI
《能源前沿(英文)》 2013年 第7卷 第3期 页码 333-341 doi: 10.1007/s11708-013-0259-5
关键词: unit commitment (UC) deterministic stochastic dynamic programming (DP) optimization state diagram
An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural
P. ZAKIAN
《结构与土木工程前沿(英文)》 2017年 第11卷 第4期 页码 470-479 doi: 10.1007/s11709-017-0440-8
关键词: stochastic analysis random seismic excitation finite element method artificial neural network frequency domain analysis Monte Carlo simulation
Qingmeng TAN, Yifei TONG, Shaofeng WU, Dongbo LI
《机械工程前沿(英文)》 2020年 第15卷 第1期 页码 1-11 doi: 10.1007/s11465-019-0563-9
关键词: cyber physical system robot assembly multiagent system architecture
Industry effect of job hopping: An agent-based simulation of Chinese construction workers
Jide SUN, Mian ZHENG, Martin SKITMORE, Bo XIA, Xincheng WANG
《工程管理前沿(英文)》 2019年 第6卷 第2期 页码 249-261 doi: 10.1007/s42524-019-0014-4
关键词: job hopping agent-based simulation construction industry effect China
Ai-hua Huang,Guo-tao Guo,Hai-xia Qiu
《工程管理前沿(英文)》 2015年 第2卷 第1期 页码 31-34 doi: 10.15302/J-FEM-2015005
关键词: personal-organizational values fit job involvement perceived organizational support new generation of employees
Lingxuan LIU, Zhongshun SHI, Leyuan SHI
《工程管理前沿(英文)》 2018年 第5卷 第4期 页码 487-498 doi: 10.15302/J-FEM-2018042
This study investigates an energy-aware flow shop scheduling problem with a time-dependent learning effect. The relationship between the traditional and the proposed scheduling problem is shown and objective is to determine a job sequence in which the total energy consumption is minimized. To provide an efficient solution framework, composite lower bounds are proposed to be used in a solution approach with the name of Bounds-based Nested Partition (BBNP). A worst-case analysis on shortest process time heuristic is conducted for theoretical measurement. Computational experiments are performed on randomly generated test instances to evaluate the proposed algorithms. Results show that BBNP has better performance than conventional heuristics and provides considerable computational advantage.
关键词: flow shop energy-aware scheduling learning effect nested partition worst-case error bound
Special Column on Multiscale Stochastic Finite Element Method
《结构与土木工程前沿(英文)》 2015年 第9卷 第2期 页码 105-106 doi: 10.1007/s11709-015-0297-7
Stochastic analysis of laminated composite plate considering stochastic homogenization problem
S. SAKATA,K. OKUDA,K. IKEDA
《结构与土木工程前沿(英文)》 2015年 第9卷 第2期 页码 141-153 doi: 10.1007/s11709-014-0286-2
关键词: stochastic homogenization multiscale stochastic analysis microscopic random variation laminated composite plate
Wei GUO, Zhiwu YU
《结构与土木工程前沿(英文)》 2012年 第6卷 第4期 页码 379-384 doi: 10.1007/s11709-012-0180-8
关键词: isolated structure stochastic response non-proportional damping efficient accurate pseudo-excitation method
Hierarchical modeling of stochastic manufacturing and service systems
Zhe George ZHANG, Xiaoling YIN
《工程管理前沿(英文)》 2017年 第4卷 第3期 页码 295-303 doi: 10.15302/J-FEM-2017047
关键词: stochastic modeling QBD process PH distribution heavy traffic limits diffusion process
Discrete-event stochastic systems with correlated inputs: Modeling and performance evaluation
《工程管理前沿(英文)》 2022年 第9卷 第2期 页码 214-220 doi: 10.1007/s42524-022-0192-6
关键词: discrete-event stochastic system correlated input performance evaluation
标题 作者 时间 类型 操作
Analysis of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent
Pankaj SHARMA,Ajai JAIN
期刊论文
Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level
Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG
期刊论文
A job-insertion heuristic for minimizing the mean flowtime in dynamic flowshops
Guang GUO, Bo WU, Shuzi YANG
期刊论文
A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy
Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON
期刊论文
Unit commitment using dynamic programming–an exhaustive working of both classical and stochastic approach
Balasubramaniyan SARAVANAN, Surbhi SIKRI, K. S. SWARUP, D. P. KOTHARI
期刊论文
An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural
P. ZAKIAN
期刊论文
next-generation production system for industrial robots: A CPS-based hybrid architecture for smart assembly shopfloors with closed-loop dynamic cyber physical interactions
Qingmeng TAN, Yifei TONG, Shaofeng WU, Dongbo LI
期刊论文
Industry effect of job hopping: An agent-based simulation of Chinese construction workers
Jide SUN, Mian ZHENG, Martin SKITMORE, Bo XIA, Xincheng WANG
期刊论文
Research on the Relationship between Personal-Organizational Values Fit and Job Involvement of the New
Ai-hua Huang,Guo-tao Guo,Hai-xia Qiu
期刊论文
Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent
Lingxuan LIU, Zhongshun SHI, Leyuan SHI
期刊论文
Stochastic analysis of laminated composite plate considering stochastic homogenization problem
S. SAKATA,K. OKUDA,K. IKEDA
期刊论文
Application of an efficient stochastic calculation method on the seismic analysis of an isolated structure
Wei GUO, Zhiwu YU
期刊论文
Hierarchical modeling of stochastic manufacturing and service systems
Zhe George ZHANG, Xiaoling YIN
期刊论文