華師經(jīng)管學術(shù)講座第380期（管理）
主題：Leadtime Flexibility in an Assemble-to-Order Manufacturer
時間：2021年10月14日（周四）15:00-16:30
騰訊會議 ID：203 541 541
會議密碼：6688
主講人：鄧天虎副教授（清華大學）
主持人：卿前愷副教授
主講人簡介：
鄧天虎，清華大學工業(yè)工程系副教授。2008年畢業(yè)于清華大學工業(yè)工程系，獲學士學位；2013年畢業(yè)于美國加州大學伯克利分校，獲博士學位。主要研究智慧供應(yīng)鏈的方法論框架和企業(yè)解決方案。2018年獲國家自然科學基金優(yōu)秀青年科學基金項目資助。負責執(zhí)行的中石油天然氣管網(wǎng)優(yōu)化項目入圍INFORMS設(shè)立的管理科學應(yīng)用界最高獎項弗蘭茨·厄德曼獎 （Franz Edelman Award）2018年決賽。目前研究成果已在Operations Research、Manufacturing & Service Operations Management, Informs Journal on Computing以及Interfaces等國際學術(shù)期刊發(fā)表。
摘要：
Motivated by the widespread industrial practice of leadtime flexibility, that is, flexibly expediting outstanding orders, we study leadtime flexibility in an assemble-to-order (ATO) system. Although existing inventory planning engines do a good job for exogenous leadtimes, they come up short for flexible leadtime. We model deterministic/random leadtime flexibility with/without adjustment costs in the inventory planning stage as Markov Decision Process (MDP) models. State-reduction techniques are employed to simplify the models, and empirical data are tested to quantify the value of leadtime flexibility. First, we prove that the multidimensional MDP models of costless leadtime flexibility are equivalent to multiple unidimensional MDP models. Second, we numerically show that even a simple form of leadtime flexibility can achieve notable cost savings under a wide range of costs, demand variation, and flexibility randomness. Our analysis fills in the gap between the planned leadtime and flexibly executed leadtime, underscoring the importance of optimizing when and how to push suppliers to expedite.
