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【明理講堂2024年第33期】5-30香港中文大學(xué)龔錫挺教授:Managing Hybrid Manufacturing/Remanufacturing Inventory Systems with Random Production Capacities

報告題目:Managing Hybrid Manufacturing/Remanufacturing Inventory Systems with Random Production Capacities

時間:5月30日(周四)16:00-17:30

地點:中關(guān)村校區(qū)主樓317

報告人:龔錫挺教授

報告人簡介:

龔錫挺現(xiàn)為香港中文大學(xué)商學(xué)院決策、營運與科技學(xué)系教授。在加入香港中文大學(xué)之前,他曾在美國密歇根大學(xué)工業(yè)與運作工程系從事博士后研究。他在北京大學(xué)數(shù)學(xué)科學(xué)學(xué)院獲得學(xué)士學(xué)位以及光華偉德國際1946bv官網(wǎng)獲得碩士與博士學(xué)位。他的主要研究領(lǐng)域是運營與供應(yīng)鏈管理,包括隨機庫存管理、固定壽命易逝品庫存管理、回收再制造生產(chǎn)庫存管理、收益管理與定價等。他在Management Science、Operations Research、Production and Operations Management等運營管理領(lǐng)域的國際頂級學(xué)術(shù)期刊發(fā)表了十余篇學(xué)術(shù)論文,并主持了多項香港研究資助委員會資助的科研項目。他目前擔(dān)任國際學(xué)術(shù)期刊Naval Research Logistics和Operations Research Letters的副主編。

報告內(nèi)容簡介:

We consider hybrid manufacturing/remanufacturing inventory systems that produce a single product to satisfy demands over a finite planning horizon. In each period, the firm receives random demand and returns of end-of-life products. A serviceable product can be manufactured from ample raw materials or remanufactured from a returned product. The two operations possess random dedicated capacities. The firm's objective is to minimize the expected total discounted cost over the planning horizon. We partially characterize the firm's optimal inventory policy when the two capacities are positively dependent and completely characterize it when only one capacity is random. When there is ample manufacturing capacity, we connect the model with an auxiliary dual-sourcing inventory model and derive a more detailed structure of the optimal policy. Finally, our numerical study provides actionable insights into the effects of random capacities. Among others, we find that approximating a slightly/moderately variable remanufacturing capacity as its deterministic mean capacity or ignoring the correlation between two random capacities under a multi-period setting incurs a limited cost to the firm. This is joint work with Suting Liu.

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