Minimising total cost with regular and emergency outsourcing sources: a neuro-dynamic programming approach

作     者：Dhawan, Aayush Srinivasan, Samashivan Rajib, Prabina Bidanda, Bopaya 

作者机构：Univ Pittsburgh Dept Ind Engn Pittsburgh PA 15260 USA Indian Inst Technol Dept Ind Engn & Management Kharagpur 721302 W Bengal India Indian Inst Technol Vinod Gupta Sch Management Kharagpur 721302 W Bengal India 

出 版 物：《INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH》 (国际生产研究杂志)

年 卷 期：2009年第47卷第20期

页      面：5811-5827页

核心收录：

学科分类：12[管理学] 120202[管理学-企业管理（含：财务管理、市场营销、人力资源管理）] 0202[经济学-应用经济学] 02[经济学] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0802[工学-机械工程] 

主　　题：neuro-dynamic programming emergency outsourcing source learning algorithm 

摘      要：This study models and explains the business situation of an organisation which has regular and emergency outsourcing sources and where decisions have to be made at the beginning of every period regarding how much to order from these sources, so as to balance between different cost components of current and future periods. Previous works in this area have tried to attack this problem with dynamic programming. In this project, neuro-dynamic programming has been applied, and the reasons for doing so have been clearly stated. This model not only derives policies in order to minimise the expected total discounted cost over a period of time, but also enables the system to learn to make such decisions, and to improve its actions by using reinforcement learning. The performance of the present work has been measured quantitatively and has been compared with the models stated in literature. This study will be very useful for the organisations where such business problems exist or are likely to exist. This study will also be of great use to researchers, who are keen to understand and model the given business situation with distribution independent demand based models.