Managing Replenishment and Clearance of Perishables: Last-In, First-Out (LIFO) Issuing Policy and Age-Sensitive Demand

先进先出和后进先出会计 按需 业务 运营管理 间隙 经济 计算机科学 商业 医学 FIFO(计算和电子) 计算机硬件 泌尿科
作者
Achal Goyal,Amar Sapra
出处
期刊:Production and Operations Management [Wiley]
卷期号:33 (4): 1031-1052 被引量:1
标识
DOI:10.1177/10591478241238970
摘要

In supermarkets, customers choose the unit(s) they purchase, which leads to inventory being sold in a last-in, first-out (LIFO) order for perishable products. Furthermore, for such products, the demand for inventory may depend on its age since customers may choose to walk away if the freshest available inventory is too old for them. Despite the widespread occurrence of LIFO-based inventory systems, few studies have analyzed them. In this study, we contribute by developing insights on joint replenishment and clearance policy for a perishable product with a general, finite lifetime using a periodic review model such that the inventory is sold in a LIFO order and demand is age-dependent. The model seeks to optimize two decisions every period: how much of fresh inventory to order and how much of existing inventory to clear. A key objective of the model is to understand the effect of age-dependence of demand on the optimal replenishment and clearance policy. We find that the optimal clearance policy for all but the oldest inventory is a multiindex policy such that between any pair of adjacent indexes, either no inventory is cleared or all the inventory is cleared till the lower index. For the oldest inventory, we show that the optimal policy may have multiple forms depending on how sensitive demand is to inventory’s age. This is a notable result in inventory theory since parameters usually affect only the policy value(s) and not the policy structure. Since the optimal policy has a complex structure in general, which makes it difficult to compute, we develop an efficient heuristic to compute the replenishment and clearance quantities. The heuristic underperforms the optimal policy by [Formula: see text]0.92% on average.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
普鲁卡因发布了新的文献求助10
2秒前
cora完成签到 ,获得积分10
8秒前
徐伟康完成签到 ,获得积分10
8秒前
Minicoper完成签到,获得积分10
19秒前
科研通AI5应助普鲁卡因采纳,获得10
19秒前
111完成签到 ,获得积分10
19秒前
奥特曼完成签到 ,获得积分10
19秒前
苏苏完成签到,获得积分10
20秒前
大橙子完成签到,获得积分10
20秒前
kelite完成签到 ,获得积分10
21秒前
火星上的雨柏完成签到 ,获得积分10
22秒前
JY完成签到,获得积分10
23秒前
知行合一完成签到 ,获得积分10
23秒前
26秒前
26秒前
笑林完成签到 ,获得积分10
27秒前
wwl完成签到,获得积分10
27秒前
娟娟完成签到 ,获得积分10
28秒前
Hollen完成签到 ,获得积分10
28秒前
janejane发布了新的文献求助10
29秒前
30秒前
32429606完成签到 ,获得积分10
30秒前
31秒前
普鲁卡因发布了新的文献求助10
33秒前
发个15分的完成签到 ,获得积分10
35秒前
35秒前
wellyou发布了新的文献求助10
35秒前
量子星尘发布了新的文献求助10
40秒前
自由的鹏涛完成签到,获得积分20
43秒前
44秒前
在水一方应助Nayvue采纳,获得10
44秒前
47秒前
Ryan完成签到,获得积分10
48秒前
General完成签到 ,获得积分10
48秒前
谦让汝燕完成签到,获得积分10
50秒前
wellyou完成签到,获得积分10
51秒前
mint完成签到,获得积分10
53秒前
afli完成签到 ,获得积分0
56秒前
57秒前
Yy完成签到 ,获得积分10
1分钟前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Handbook of Industrial Diamonds.Vol2 1100
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038128
求助须知:如何正确求助?哪些是违规求助? 3575831
关于积分的说明 11373827
捐赠科研通 3305610
什么是DOI,文献DOI怎么找? 1819255
邀请新用户注册赠送积分活动 892655
科研通“疑难数据库(出版商)”最低求助积分说明 815022