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 Application of Queuing Theory in Service Design
Tác giả hoặc Nhóm tác giả: Dinh Son Nguyen
Nơi đăng: Industrial Engineering and Engineering Management (IEEM), 2017 IEEE International Conference on; Số: 2017;Từ->đến trang: 837-840;Năm: 2017
Lĩnh vực: Khoa học công nghệ; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
The requirements of clients are more complex with higher expectations and tightened schedule due to rapid development of science and technology. In the context of concurrent and global economy, satisfaction of customers' requirements is an important key in the engineering product-service design process. One of the requirements from customers is to reduce the costs, including cost of development, material costs and conversion costs. Thus, cost reduction has become an important challenge in product-service design while the satisfaction of the customers' requirements is still ensured. An approach based on the queuing theory is proposed in this paper to solve these problems. A mathematical model analysis to determine the important parameters as the mean waiting time, number of service platforms, probability of customer waiting in queue is presented in the paper. The service designer can use them to find the optimized solution for the designed service.
ABSTRACT
The requirements of clients are more complex with higher expectations and tightened schedule due to rapid development of science and technology. In the context of concurrent and global economy, satisfaction of customers' requirements is an important key in the engineering product-service design process. One of the requirements from customers is to reduce the costs, including cost of development, material costs and conversion costs. Thus, cost reduction has become an important challenge in product-service design while the satisfaction of the customers' requirements is still ensured. An approach based on the queuing theory is proposed in this paper to solve these problems. A mathematical model analysis to determine the important parameters as the mean waiting time, number of service platforms, probability of customer waiting in queue is presented in the paper. The service designer can use them to find the optimized solution for the designed service.
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