Study on Optimization of Shore Bridge Operator Scheduling Considering the Influence of Ambient Temperature
Xitong Fangzhen Xuebao / Journal of System Simulation, ISSN: 1004-731X, Vol: 31, Issue: 12, Page: 2868-2876
2019
- 20Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage20
- Downloads18
- Abstract Views2
Article Description
The refinement of port management puts forward new requirements for its service capacity, and human factors are the key factors affecting the port service capacity. It is a new and feasible research direction to improve port operation efficiency by adjusting human factors. Based on the theoretical model of temperature affecting efficiency, this paper uses FlexSim system simulation software to analyze the change of employee's working efficiency with time, and studies the optimal scheduling strategy of shore bridge operators under different temperatures. Finally, it is concluded that when the ambient temperature is suitable for human body, the eight-hour scheduling strategy is the optimal scheduling strategy; when the difference between the ambient temperature and the optimal temperature is larger, the shorter the working time of each shift is, the higher efficiency of the port operation efficiency is.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85077010212&origin=inward; http://dx.doi.org/10.16182/j.issn1004731x.joss.19-fz0266; https://dc-china-simulation.researchcommons.org/journal/vol31/iss12/37; https://dc-china-simulation.researchcommons.org/cgi/viewcontent.cgi?article=1962&context=journal; http://sciencechina.cn/gw.jsp?action=cited_outline.jsp&type=1&id=6663317&internal_id=6663317&from=elsevier; https://dx.doi.org/10.16182/j.issn1004731x.joss.19-fz0266; https://www.chndoi.org/Resolution/Handler?doi=10.16182/j.issn1004731x.joss.19-FZ0266
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