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荷兰格罗宁根大学Martin J. Land副教授学术讲座(两场)
时间:2017-06-14 来源: 作者:

荷兰格罗宁根大学Martin J. Land副教授学术讲座(两场

 

主讲人简介:

Martin J. Land副教授,1968年生,荷兰籍。于2004年获得荷兰格罗宁根大学管理学博士学位,毕业后留校任教至今,讲授课程包括物流与供应链管理、服务运营、运营管理等。研究领域为生产制造运营管理,在国际权威学术期刊International Journal of Production Economics, International Journal of Operations & Production Management, European Journal of Operational Research等发表研究论文30余篇。

 

第一场主题:Improving Delivery Reliability in Make-To-Order Companies 

时间:2017615日(星期四)下午3:00-4:30

地点:珠海校区行政楼二楼207会议室

主讲人:Martin J. Land副教授

主持人:Matthias Thurer教授

主办单位:电气信息学院

 

内容摘要:

Despite the pressure to realise high levels of delivery reliability, many Make-To-Order (MTO) companies appear to deliver significant percentages of orders tardy, much more than their own figures and theoretical research on delivery reliability generally suggest. This seminar presents a method developed to trace the causes of unreliable delivery, which has been applied and evaluated in numerous companies in The Netherlands. Besides, the most generic causes of problems observed in small MTO companies will be reviewed and simple planning and control solutions, implemented to improve delivery performance, will be presented.

 

第二场主题:Diagnosing Emergency Care Waiting Times

时间:2017616日(星期)下午3:00-4:30

地点:珠海校区行政楼二楼207会议室

主讲人:Martin J. Land副教授

主持人:Matthias Thurer教授

主办单位:电气信息学院

 

内容摘要:

Overcrowding and waiting times in emergency departments (ED) are a concern in healthcare. Hospitals may attribute long waiting times to external factors, such as the high usage for inappropriate healthcare (e.g., prescriptions filled). However many studies show that the effect of inappropriate usage is negligible. Other studies have pointed out the relationship between waiting times and internal factors, such as for example inadequate staffing, use of ancillary services, inpatient boarding and hospital bed shortages. However, in today’s environment increasing the capacity levels of the ED (i.e. beds and care givers) is generally not a viable option due to high costs. We follow an alternative approach, examining whether we fully understand the causes of long waiting times in the ED. Many studies about the causes within the ED are qualitative or depend on regression-based statistics. However, these approaches do not recognize that patient arrivals are non-stationary processes, and long waiting times at late hours may result from earlier mismatches between demand and supply.

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