Supply Chain Coordination Considering Stochastic Demand and Raw Material Quality Defects

Li, Yongfei

doi:10.14257/ijunesst.2016.9.5.34

IJUNESST

2016

DOI: 10.14257/ijunesst.2016.9.5.34

|View full text |Cite

Supply Chain Coordination Considering Stochastic Demand and Raw Material Quality Defects

Yongfei Li¹

Abstract: Abstract

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2019

2021

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Manufacturer EOQ with Considering Customer Stochastic Demand, Different Inspective Strategies and Raw Material Quality Defect

Wei

Yuzhi

et al. 2021

J. Adv. Manuf. Syst.

View full text Add to dashboard Cite

Single-period newsboy models and the corresponding EOQ models are, respectively, constructed under the condition that the manufacturer inspects raw materials of his supplier with total or sample inspection strategies and the manufacturer repairs or cheaply disposes the defective quality products when single supplier and manufacturer are faced with the customer stochastic demand and quality defects of raw materials. It is also found that marginal effect will be enlarged when unqualified products are disposed at a reduced price. There is a smaller impact to EOQ when manufacturer cheaply disposes the unqualified products when he repairs the products. Under demand-obeying normal distribution, EOQ will be linearly decreasing when the number of unqualified products increases. But EOQ will be linearly increasing when the order is greater than the mean demand and EOQ will also be linearly increasing with the demand standard deviation increase. Finally, the propositions and inferences are confirmed which can exert an impact on EOQ by adopting Monte Carlo simulation software. This research can provide some theoretical basis for manufacturers to reduce internal and external loss costs.

show abstract

Manufacturer EOQ with Considering Customer Stochastic Demand, Different Inspective Strategies and Raw Material Quality Defect

Wei

Yuzhi

et al. 2021

J. Adv. Manuf. Syst.

View full text Add to dashboard Cite

show abstract

Research on Supply Chain Coordination Based on Block Chain Technology and Customer Random Demand

Wang

Yang

2019

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

Based on disruptive innovation and Stackelberg noncooperative game theory, the paper focuses on supply chain coordination under the combined effects of block chain technology and random demand. Firstly, both a decentralized and a centralized supply chain decision models are built in a single-cycle newsvendor random demand situation. Then, through revenue sharing contract the study designs a brand-new supply chain coordination model which is Del trust, decentralized, and traded anonymously. Furthermore, the numerical comparative analysis on the optimal decision and supply chain coordination are conducted. It is found that the whole supply chain revenue can achieve and even beyond the performance level of the centralized supply chain with effectively expanding sales market and reducing supply chain risk. When the retail price is stable and supply chain is coordinated with revenue sharing mechanism, decentralized supply chain can achieve minimum optimal revenue. Coordination results have effect on short-term revenues of block chain members only. Implications and suggestions for future research in supply chain coordination are provided.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Supply Chain Coordination Considering Stochastic Demand and Raw Material Quality Defects

Abstract: Abstract

Cited by 2 publications

References 18 publications

Manufacturer EOQ with Considering Customer Stochastic Demand, Different Inspective Strategies and Raw Material Quality Defect

Manufacturer EOQ with Considering Customer Stochastic Demand, Different Inspective Strategies and Raw Material Quality Defect

Research on Supply Chain Coordination Based on Block Chain Technology and Customer Random Demand

Contact Info

Product

Resources

About