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Journal Article 7

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2019 2

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2011 1

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scheduling 2

Big data 1

China 1

Energy 1

Job offers 1

Low-carbon manufacturing 1

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adaptive genetic algorithm 1

agent-based simulation 1

carbon efficiency 1

construction industry 1

dispatching rule 1

dynamic flowshops 1

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energy efficiency 1

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Big Data Research in Italy: A Perspective Perspective

Sonia Bergamaschi,Emanuele Carlini,Michelangelo Ceci,Barbara Furletti,Fosca Giannotti,Donato Malerba,Mario Mezzanzanica,Anna Monreale,Gabriella Pasi,Dino Pedreschi,Raffele Perego,Salvatore Ruggieri

Engineering 2016, Volume 2, Issue 2,   Pages 163-170 doi: 10.1016/J.ENG.2016.02.011

Abstract:

The aim of this article is to synthetically describe the research projects that a selection of Italian universities is undertaking in the context of big data. Far from being exhaustive, this article has the objective of offering a sample of distinct applications that address the issue of managing huge amounts of data in Italy, collected in relation to diverse domains.

Keywords： Big data     Smart cities     Energy     Job offers     Privacy    

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A job-insertion heuristic for minimizing the mean flowtime in dynamic flowshops

Guang GUO, Bo WU, Shuzi YANG

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 197-202 doi: 10.1007/s11465-011-0211-5

Abstract:

A new adaptive job-insertion based heuristic is presented to minimize the mean flowtime in a dynamicJob orders arrive to the system randomly, and the job arrival or release dates are not known in advance

Keywords： scheduling     dynamic flowshops     flowtime     heuristic     mean flowtime    

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Industry effect of job hopping: An agent-based simulation of Chinese construction workers

Jide SUN, Mian ZHENG, Martin SKITMORE, Bo XIA, Xincheng WANG

Frontiers of Engineering Management 2019, Volume 6, Issue 2,   Pages 249-261 doi: 10.1007/s42524-019-0014-4

Abstract: Job hopping affects the development of industries in terms of efficiency and quality of work.It is a problem for the Chinese construction industry, where excessive job hopping is detrimental toSimulation results indicate that the frequent job moves of Chinese construction workers have a negative

Keywords： job hopping     agent-based simulation     construction industry     effect     China    

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Analysis of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent

Pankaj SHARMA,Ajai JAIN

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 380-389 doi: 10.1007/s11465-014-0315-9

Abstract:

Stochastic dynamic job shop scheduling problem with consideration of sequence-dependent setup timesA discrete event simulation model of a stochastic dynamic job shop manufacturing system is developedThe job with similar setup and modified earliest due date (JMEDD) rule provides the best performance

Keywords： scheduling     stochastic dynamic job shop     sequence-dependent setup times     dispatching rule     simulation    

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Research on the Relationship between Personal-Organizational Values Fit and Job Involvement of the New

Ai-hua Huang,Guo-tao Guo,Hai-xia Qiu

Frontiers of Engineering Management 2015, Volume 2, Issue 1,   Pages 31-34 doi: 10.15302/J-FEM-2015005

Abstract: employees, the authors have discussed the relationship between the personal-organizational values fit and jobempirical results found that the personal-organizational values fit had a significant positive effect on job

Keywords： personal-organizational values fit     job involvement     perceived organizational support     new generation of    

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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

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 474-488 doi: 10.1007/s11465-019-0560-z

Abstract: characteristics of remanufacturing, we used the crankshaft as an illustrative case and built a fuzzy job-shop

Keywords： remanufacturing scheduling     adaptive genetic algorithm     energy efficiency     sustainable remanufacturing     hormone modulation mechanism    

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A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2,   Pages 338-350 doi: 10.1007/s11465-019-0572-8

Abstract: In this paper, a two-stage low-carbon scheduling optimization method of job shop is presented as part

Keywords： Low-carbon manufacturing     carbon efficiency     multi-objective optimization     two-stage scheduling     job shop    

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Title Author Date Type Operation

Big Data Research in Italy: A Perspective

Sonia Bergamaschi,Emanuele Carlini,Michelangelo Ceci,Barbara Furletti,Fosca Giannotti,Donato Malerba,Mario Mezzanzanica,Anna Monreale,Gabriella Pasi,Dino Pedreschi,Raffele Perego,Salvatore Ruggieri

Journal Article

A job-insertion heuristic for minimizing the mean flowtime in dynamic flowshops

Guang GUO, Bo WU, Shuzi YANG

Journal Article

Industry effect of job hopping: An agent-based simulation of Chinese construction workers

Jide SUN, Mian ZHENG, Martin SKITMORE, Bo XIA, Xincheng WANG

Journal Article

Analysis of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent

Pankaj SHARMA,Ajai JAIN

Journal Article

Research on the Relationship between Personal-Organizational Values Fit and Job Involvement of the New

Ai-hua Huang,Guo-tao Guo,Hai-xia Qiu

Journal Article

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

Journal Article

A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

Journal Article