Abstract
This paper deals with an integrated vendor-buyer supply chain model. Two models are constructed based on the probability distribution of the lead time demand. The lead time demand follows a normal distribution in the first model. In the second model, we consider the distribution free approach for the lead time demand. For the second model, only mean and standard deviation are known. The aim of our model is to reduce the total system cost by considering the setup cost reduction of the vendor. Finally, some numerical examples are presented to illustrate the models.
| Original language | English |
|---|---|
| Pages (from-to) | 362-371 |
| Number of pages | 10 |
| Journal | Applied Mathematics and Computation |
| Volume | 224 |
| DOIs | |
| Publication status | Published - 2013 Oct 4 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computational Mathematics
- Applied Mathematics
Cite this
}
Integrated vendor-buyer supply chain model with vendor's setup cost reduction. / Sarkar, Biswajit; Majumder, Arunava.
In: Applied Mathematics and Computation, Vol. 224, 04.10.2013, p. 362-371.Research output: Contribution to journal › Article
TY - JOUR
T1 - Integrated vendor-buyer supply chain model with vendor's setup cost reduction
AU - Sarkar, Biswajit
AU - Majumder, Arunava
PY - 2013/10/4
Y1 - 2013/10/4
N2 - This paper deals with an integrated vendor-buyer supply chain model. Two models are constructed based on the probability distribution of the lead time demand. The lead time demand follows a normal distribution in the first model. In the second model, we consider the distribution free approach for the lead time demand. For the second model, only mean and standard deviation are known. The aim of our model is to reduce the total system cost by considering the setup cost reduction of the vendor. Finally, some numerical examples are presented to illustrate the models.
AB - This paper deals with an integrated vendor-buyer supply chain model. Two models are constructed based on the probability distribution of the lead time demand. The lead time demand follows a normal distribution in the first model. In the second model, we consider the distribution free approach for the lead time demand. For the second model, only mean and standard deviation are known. The aim of our model is to reduce the total system cost by considering the setup cost reduction of the vendor. Finally, some numerical examples are presented to illustrate the models.
UR - http://www.scopus.com/inward/record.url?scp=84884777878&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84884777878&partnerID=8YFLogxK
U2 - 10.1016/j.amc.2013.08.072
DO - 10.1016/j.amc.2013.08.072
M3 - Article
AN - SCOPUS:84884777878
VL - 224
SP - 362
EP - 371
JO - Applied Mathematics and Computation
JF - Applied Mathematics and Computation
SN - 0096-3003
ER -