首页 | 本学科首页   官方微博 | 高级检索  
     检索      


A hybrid inventory management system responding to regular demand and surge demand
Institution:1. Biofuels and Renewable Energy, Idaho National Laboratory, ID 83402, USA;2. Department of Industrial and Systems Engineering, The University of Tennessee at Knoxville, 525D John Tickle Engineering Building, 851 Neyland Drive, Knoxville, TN 37996, USA;3. Department of Industrial Engineering, Clemson University, USA;1. Department of Statistics and Operations Research, University of Murcia, Campus de Espinardo, 30100-Espinardo, Murcia, Spain;2. Department of Business Administration, Law and Social Sciences, San Antonio Catholic University, Campus de los Jerónimos, 30107-Guadalupe, Murcia, Spain;1. Laboratory of Industrial and Energy Economics, School of Chemical Engineering, National Technical University of Athens, Zografou Campus, Athens 15780, Greece;2. CEG-IST, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal;3. Decision Support Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Zografou Campus, Athens 15780, Greece;1. Abdullah Gül University, Department of Industrial Engineering, Kayseri, Turkey;2. Turkish Army Military Academy, Institute of Defense Sciences, Ankara, Turkey;3. Bilkent University, Department of Industrial Engineering, Bilkent, Ankara, Turkey;1. Business Systems and Analytics Department, Distinguished Chair of Business Analytics, La Salle University, Philadelphia, PA 19141, USA;2. Business Information Systems Department, Faculty of Business Administration and Economics, University of Paderborn, D-33098 Paderborn, Germany;3. Department of Information Technology Management, Kharazmi University, Tehran, Iran;4. Department of Mathematics and Statistics, York University, Toronto, Canada;5. Polo Tecnologico IISS G. Galilei, Via Cadorna 14, 39100, Bolzano, Italy
Abstract:This paper proposes a hybrid policy for a stochastic inventory system facing regular demand and surge demand. The combination of two different demand patterns can be observed in many areas, such as healthcare inventory and humanitarian supply chain management. The surge demand has a lower arrival rate but higher demand volume per arrival. The solution approach proposed in this paper incorporates the level crossing method and mixed integer programming technique to optimize the hybrid inventory policy with both regular orders and emergency orders. The level crossing method is applied to obtain the equilibrium distributions of inventory levels under a given policy. The model is further transformed into a mixed integer program to identify an optimal hybrid policy. A sensitivity analysis is conducted to investigate the impact of parameters on the optimal inventory policy and minimum cost. Numerical results clearly show the benefit of using the proposed hybrid inventory model. The model and solution approach could help healthcare providers or humanitarian logistics providers in managing their emergency supplies in responding to surge demands.
Keywords:Hybrid inventory policy  Surge demand  Level Crossing Theory  Mixed integer programming
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号