Input material reduction incentives versus scrap recycling for closed‐loop supply chains

废品 锻造 供应链 激励 组分(热力学) 还原(数学) 计算机科学 业务 产业组织 经济 微观经济学 机械工程 营销 工程类 几何学 数学 物理 热力学
作者
Tolga Aydinliyim,Eren B. Çil,Nagesh N. Murthy
出处
期刊:Production and Operations Management [Wiley]
卷期号:32 (10): 3328-3346 被引量:3
标识
DOI:10.1111/poms.14039
摘要

Motivated by interactions with a major player in the aerospace industry, we consider the relationship between a supplier of specialty material forgings and a buyer that manufactures airplane components by extensively machining down these forgings as per component design specifications. Due to high material removal costs, the buyer prefers these forgings to be as similar in geometry and size to the component as possible, that is, near‐net‐shape. The supplier, by default, is unable to deliver such near‐net‐shape forgings as per technological constraints, but can utilize costly effort and/or invest in the required technologies to achieve such capabilities. By taking into account uncertainty regarding the correspondence between supplier's effort and resulting forging size, we assess the implications of two innovative approaches for improving supply chain performance: (i) input material reduction incentives via contracting and (ii) scrap material recycling. We characterize the optimal decisions with respect to final component geometry, various costs, and which party in the supply chain controls the strategic recycling decision. We find that the supply chain should utilize both approaches in a complementary way for components with complex geometry, yet deliberately limit recycling and eliminate contracting for components with simple geometry—a strategy the buyer always implements when controlling the recycling decision. Furthermore, we show these contracting and recycling strategies to be robust by considering linear, expected cost sharing, and nonlinear contract alternatives. Finally, we study supply chain inefficiencies that result from decentralizing the recycling and/or contracting decisions, and highlight whether expected cost sharing and nonlinear contracts can outperform linear contracts.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
rosalieshi应助yzee采纳,获得30
3秒前
5秒前
沉默香芦发布了新的文献求助10
8秒前
高挑的幼翠完成签到,获得积分10
8秒前
9秒前
11秒前
摆渡人发布了新的文献求助10
15秒前
strickland完成签到,获得积分10
15秒前
yangkunmedical完成签到,获得积分10
17秒前
DamonChen发布了新的文献求助10
17秒前
汉堡包应助孙冉冉采纳,获得10
18秒前
19秒前
可爱的函函应助刘一帆采纳,获得10
19秒前
miuu完成签到,获得积分10
22秒前
YY完成签到,获得积分10
22秒前
姜茶发布了新的文献求助10
23秒前
科研通AI2S应助研友_Fan采纳,获得10
23秒前
23秒前
djdsg发布了新的文献求助10
24秒前
黎行云发布了新的文献求助10
24秒前
weiv发布了新的文献求助30
26秒前
任性的思远完成签到,获得积分10
27秒前
Hello应助不如一默采纳,获得10
27秒前
e746700020完成签到,获得积分10
28秒前
柠檬精翠翠完成签到,获得积分10
29秒前
30秒前
36秒前
沉默香芦完成签到,获得积分10
36秒前
哒哒发布了新的文献求助10
36秒前
香蕉觅云应助等待的谷波采纳,获得10
39秒前
怡然的天思完成签到 ,获得积分10
40秒前
41秒前
科研通AI2S应助麦兜采纳,获得10
41秒前
lucy完成签到,获得积分10
42秒前
不如一默发布了新的文献求助10
42秒前
孙冉冉发布了新的文献求助10
48秒前
小蜜峰儿完成签到,获得积分10
48秒前
50秒前
刘若昕发布了新的文献求助10
51秒前
高分求助中
LNG地下式貯槽指針(JGA指-107) 1000
LNG地上式貯槽指針 (JGA指 ; 108) 1000
Preparation and Characterization of Five Amino-Modified Hyper-Crosslinked Polymers and Performance Evaluation for Aged Transformer Oil Reclamation 700
Operative Techniques in Pediatric Orthopaedic Surgery 510
How Stories Change Us A Developmental Science of Stories from Fiction and Real Life 500
九经直音韵母研究 500
Full waveform acoustic data processing 500
热门求助领域 (近24小时)
化学 医学 材料科学 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 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2932569
求助须知:如何正确求助?哪些是违规求助? 2586311
关于积分的说明 6970419
捐赠科研通 2233064
什么是DOI,文献DOI怎么找? 1186011
版权声明 589681
科研通“疑难数据库(出版商)”最低求助积分说明 580645