Academic Profile : Faculty

aschen_1_2.JPG picture
Prof Chen Shaoxiang
Professor, College of Business (Nanyang Business School) - Division of Information Technology & Operations Management
Journal Articles
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Bing Lin, Jianjun Xu, Shaoxiang Chen, Michael Z. F. Li, 2020. A hybrid model for airline seat inventory control of the multi-leg problems. Operations Research Letters 48(3)

陈绍祥 “新时代的哲学思考与呼唤”, 产业转型研究专刊,《数据》杂志 (北京)2020年7月

Xu, Jianjun; Gürbüz, Mustafa; Feng, Youyi; Chen, Shaoxiang, 2020. Optimal Spot Trading Integrated with Quantity Flexibility Contracts.. Production and Operations Management. Volume 29, Issue 6

Jianjun Xu, Shaoxiang Chen, Gangshu (Geroge) Cai. 2020. Optimal Policy for Production Systems with Flexible Resources and Two Products. IISE Transactions Feb2020, Vol. 52 Issue 2, p199-215. 17p.

Bing Lin, Shaoxiang Chen, Yi Feng, Jianjun Xu. 2018. The Joint Stock and Capacity Rationings of a Make-To-Stock System with Flexible Demand, Asia-Pacific Journal of Operational Research (APJOR), Volume No.35, Issue No. 01, 27 pages.

G.A. Chua, S. Chen, Z. Han. (2016). Hub and Chain: Process Flexibility Design in Non-Identical Systems Using Variance Information. European Journal of Operational Research, 253(3), 625-638.

Yi Feng, Shaoxiang Chen, Wenqiang Dai. (2015). The Optimal Policy for a Capacitated Multiple Product Inventory System Under Symmetry. Asia-Pacific Journal of Operational Research, 32(02), 17.

Shaoxiang Chen, Yi Feng, Arun Kumar, Bing Lin. (2011). Solving Single-Product Economic Lot-Sizing Problem with Non-increasing Setup Cost, Constant Capacity and Convex Inventory Cost in O(NlogN) Time. Computers & Operations Research, .

Shaoxiang Chen, Jianjun Xu, Youyi Feng. (2010). A Partial Characterization of the Optimal Ordering/Rationing Policy for a Periodic Review System with Two Demand Classes and Backordering. Naval Research Logistics, 57(4), 330-341.

Shaoxiang Chen, Jianjun Xu. (2010). Note on the optimality of (s, S) policies for inventory systems with two demand classes. Operations Research Letters, 38(5), 450-453.