TY - JOUR
T1 - A multi-echelon multi-product stochastic model to supply chain of small-and-medium enterprises in industrial clusters
AU - Kayvanfar, Vahid
AU - Moattar Husseini, S. M.
AU - Sajadieh, Mohsen S.
AU - Karimi, B.
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2018/1
Y1 - 2018/1
N2 - An Industrial Cluster (IC) is a set of similar and interrelated firms in a specific field situated in a geographic concentration to share joint resources. To date, the interrelations between ICs and Supply Chain Management (SCM) have been improperly mathematically studied, despite their inherent relationship. In this paper, a Supply-Demand Hub in Industrial Clusters (SDHIC) as a specific common provider of warehousing and logistics activities managed by a third-party logistics provider (3PL) is proposed to minimize the total cost of the considered supply chain. Activities of businesses in IC is modeled thorough a two-stage stochastic programming model followed by an acceleration techniques for the Benders decomposition. The numerical experiments comprising sensitivity analysis are conducted over a case study to show the attractiveness of the proposed model. Some managerial insights are presented based on the obtained results.
AB - An Industrial Cluster (IC) is a set of similar and interrelated firms in a specific field situated in a geographic concentration to share joint resources. To date, the interrelations between ICs and Supply Chain Management (SCM) have been improperly mathematically studied, despite their inherent relationship. In this paper, a Supply-Demand Hub in Industrial Clusters (SDHIC) as a specific common provider of warehousing and logistics activities managed by a third-party logistics provider (3PL) is proposed to minimize the total cost of the considered supply chain. Activities of businesses in IC is modeled thorough a two-stage stochastic programming model followed by an acceleration techniques for the Benders decomposition. The numerical experiments comprising sensitivity analysis are conducted over a case study to show the attractiveness of the proposed model. Some managerial insights are presented based on the obtained results.
KW - Benders decomposition algorithm
KW - Industrial Clusters (IC)
KW - Small and Medium Enterprises (SMEs)
KW - Stochastic supply chain
UR - http://www.scopus.com/inward/record.url?scp=85033484646&partnerID=8YFLogxK
U2 - 10.1016/j.cie.2017.11.003
DO - 10.1016/j.cie.2017.11.003
M3 - Article
AN - SCOPUS:85033484646
SN - 0360-8352
VL - 115
SP - 69
EP - 79
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
ER -