Extracting Maximum Value from Consumer Returns: Allocating Between Remarketing and Refurbishing for Warranty Claims

担保 原设备制造商 产品(数学) 经济 杠杆(统计) 业务 微观经济学 精算学 计算机科学 操作系统 法学 政治学 机器学习 数学 几何学
作者
Çerağ Pinçe,Mark Ferguson,L. Beril Toktay
出处
期刊:Manufacturing & Service Operations Management [Institute for Operations Research and the Management Sciences]
卷期号:18 (4): 475-492 被引量:58
标识
DOI:10.1287/msom.2016.0584
摘要

The high cost of lenient return policies force consumer electronics original equipment manufacturers (OEMs) to look for ways to recover value from lightly used consumer returns, which constitute a substantial fraction of sales and cannot be resold as new products. Refurbishing to remarket or to fulfill warranty claims are the two common disposition options considered to unlock the value in consumer returns, which present the OEM with a challenging problem: How should an OEM dynamically allocate consumer returns between fulfilling warranty claims and remarketing refurbished products over the product’s life cycle? We analyze this dynamic allocation problem and find that when warranty claims and consumer returns are jointly taken into account, the remarketing option is generally dominated by the option of refurbishing and earmarking consumer returns to fulfill warranty claims. Over the product’s life cycle, the OEM should strategically emphasize earmarking of consumer returns at the early stages of the life cycle to build up earmarked inventory for the future warranty demand, whereas it should consider remarketing at the later stages of the life cycle after enough earmarked inventory is accumulated or most of the warranty demand uncertainty is resolved. These findings show that, for product categories with significant warranty coverage and refund costs, remarketing may not be the most profitable disposition option even if the product has strong remarketing potential and the OEM has the pricing leverage to tap into this market. We also show that the optimal dynamic disposition policy is a price-dependent base-stock policy where the earmarked quantity is capacitated by the new and refurbished product sales quantities. We compare with the myopic policy and show that it is a good heuristic for the optimal dynamic disposition policy.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
翁若翠完成签到,获得积分10
1秒前
小蘑菇应助橙果果采纳,获得10
2秒前
带线一去不回完成签到,获得积分10
2秒前
陈和合完成签到,获得积分20
2秒前
小二郎应助yanbobuchou采纳,获得10
2秒前
大木头发布了新的文献求助10
2秒前
量子星尘发布了新的文献求助10
3秒前
syh5527029完成签到 ,获得积分10
3秒前
sctaaa发布了新的文献求助10
4秒前
4秒前
勤奋幻柏完成签到,获得积分10
4秒前
香蕉觅云应助汤柏钧采纳,获得10
4秒前
4秒前
廖明强完成签到,获得积分10
4秒前
ZCL完成签到,获得积分10
6秒前
6秒前
6秒前
隐形曼青应助自由的凛采纳,获得10
6秒前
虚心无颜给虚心无颜的求助进行了留言
7秒前
浮游应助wink采纳,获得10
7秒前
7秒前
8秒前
8秒前
wxx771510625完成签到 ,获得积分10
8秒前
ZCL发布了新的文献求助10
9秒前
freebird应助ergatoid采纳,获得10
10秒前
杨德帅发布了新的文献求助10
10秒前
10秒前
10秒前
10秒前
llllliu完成签到,获得积分10
11秒前
11秒前
11秒前
11秒前
zilan完成签到,获得积分20
11秒前
12秒前
12秒前
Hello应助宴究生采纳,获得10
12秒前
闻疏完成签到,获得积分10
12秒前
樱桃发布了新的文献求助10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
From Victimization to Aggression 1000
Study and Interlaboratory Validation of Simultaneous LC-MS/MS Method for Food Allergens Using Model Processed Foods 500
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5646235
求助须知:如何正确求助?哪些是违规求助? 4770584
关于积分的说明 15033924
捐赠科研通 4804968
什么是DOI,文献DOI怎么找? 2569335
邀请新用户注册赠送积分活动 1526419
关于科研通互助平台的介绍 1485810