主題：Integrated production planning and warehouse storage assignment problem: An IoT assisted case
主要內(nèi)容：This study is motivated by a real-world problem in a food company, where production planning is restricted by the available warehouse space for the finished goods. A novel integrated strategy that combines production planning with a randomized storage assignment policy is presented. The strategy takes advantage of greater visibility and traceability of IoT-enabled tracking systems in order to increase space utilization.
專(zhuān)家姓名：張國(guó)慶
工作單位：University of Windsor
專(zhuān)長(zhǎng)和學(xué)術(shù)成就：Professor Zhang has published academic papers in some top journals, including Operations Research, Omega, and European Journal of Operational Research.
專(zhuān)家簡(jiǎn)介：Guoqing Zhang, P.Eng, is a Professor in Industrial Engineering, the director of the supply chain and logistics optimization research lab, at the Department of Mechanical, Automotive & Materials Engineering, University of Windsor.
時(shí)間：2020-11-25 10:00:00
地點(diǎn)：騰訊會(huì)議