Synchronizing the Supply of Components for Automotive Assembly amid Chip Shortages and Other Supply Delays

同步 供应链 汽车工业 提前期 订单(交换) 计算机科学 总拥有成本 业务 信息共享 运筹学 运营管理 产业组织 风险分析(工程) 营销 经济 电信 工程类 传输(电信) 航空航天工程 财务 万维网 操作系统
作者
Toyin Clottey,W.C. Benton
出处
期刊:Production and Operations Management [Wiley]
卷期号:33 (9): 1821-1838 被引量:8
标识
DOI:10.1177/10591478241260432
摘要

The push for more battery-powered electric vehicles, the COVID-19 pandemic, and other global supply chain destabilizing events (e.g., the war in Ukraine) have made it necessary for manufacturers to consider innovative approaches to sourcing and materials management. This study assesses the value of sharing delivery due date updates, which are then used to convert spent time into a fraction of the expected total time for order fulfillment (i.e., progress updates), to synchronize the delivery of components for an automotive manufacturer who, amid long and variable lead times for semiconductor chips, maintains a strategy of waiting for the delivery of all needed parts before commencing production. Having progress updates in a fractional form puts numerical bounds (i.e., 0% to 100%) on the shared information, and this facilitates closed-form analytical comparisons. We develop analytical models to show decreases in expected assembly-related costs based on the progress update information shared between two suppliers—one supplier has a shorter and more reliable order fulfillment lead time than the other. When there are more than two suppliers, we use a simulation model to estimate the expected value of sharing progress updates. Our results show that increasing the frequency of shared progress updates, and having more suppliers share progress updates, results in increased cost-savings percentages. However, the opposite occurs with increasing uncertainty in suppliers’ delivery lead times. The computational study provides support for the existence of a critical mass level of suppliers needed to achieve a given percentage cost saving. This study can help automakers to make informed decisions on encouraging information sharing among suppliers, by first creating a critical mass of suppliers to share progress updates. Our investigations also help show the conditions in which to best leverage such information sharing strategies while waiting for the delivery of all needed components prior to production.
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
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
SciGPT应助花佩剑采纳,获得10
刚刚
Akim应助奕奕采纳,获得10
刚刚
王森发布了新的文献求助10
刚刚
1秒前
1秒前
qscheng完成签到,获得积分10
1秒前
qmy完成签到,获得积分10
1秒前
完美世界应助阳子采纳,获得10
4秒前
大模型应助domineer采纳,获得10
5秒前
clientprogram发布了新的文献求助20
5秒前
5秒前
神勇德天发布了新的文献求助10
5秒前
NexusExplorer应助史萌采纳,获得20
6秒前
7秒前
CHNLUE完成签到,获得积分10
7秒前
何曼慈应助昵称已挥发采纳,获得10
8秒前
王森完成签到,获得积分10
8秒前
9秒前
斯文败类应助zab采纳,获得10
9秒前
唔西迪西完成签到,获得积分10
9秒前
SAN发布了新的文献求助10
9秒前
9秒前
猕猴桃猴完成签到,获得积分10
10秒前
milan完成签到 ,获得积分10
11秒前
天天快乐应助一坨台台采纳,获得10
12秒前
FYH发布了新的文献求助10
13秒前
上官若男应助小小旭呀采纳,获得10
13秒前
Hajix完成签到,获得积分10
14秒前
英姑应助Gao采纳,获得10
14秒前
lzt发布了新的文献求助10
15秒前
阳子发布了新的文献求助10
15秒前
yingying完成签到,获得积分10
16秒前
CipherSage应助啊啊啊啊采纳,获得10
17秒前
piers发布了新的文献求助30
17秒前
18秒前
65935604完成签到,获得积分10
19秒前
de完成签到,获得积分10
19秒前
19秒前
19秒前
cdercder应助pluvia采纳,获得10
20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
日本現代怪異事典 副読本 700
Concise Introduction to Heritage Studies 650
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7381369
求助须知:如何正确求助?哪些是违规求助? 8988669
关于积分的说明 19119414
捐赠科研通 7020623
什么是DOI,文献DOI怎么找? 3226998
关于科研通互助平台的介绍 2390118
邀请新用户注册赠送积分活动 2207861