Numerous studies have confirmed the negative impact of the lack of coordination on supply chain performance. In particular, the lack of coordination leads to the bullwhip effect, which has severe impacts on supply chain stability. This paper evaluates a proposed coordination mechanism that allows a decentralized information sharing in multi-echelon supply chains. The proposed mechanism “Info-Smooth” utilizes the ordering rule of the generalized (R, S) policy in which a replenishment order can be transferred to upstream echelons including two pieces of information (demand forecast and inventory balance). As the generalized (R, S) can allow order smoothing, Info-Smooth combines the power of both information sharing and order smoothing. A simulation modeling methodology is employed to investigate the effectiveness of Info-Smooth in a multi-echelon supply chain. The factorial design results have shown that Info-Smooth is successful in mitigating the bullwhip effect whilst keeping acceptable inventory stability, compared to the traditional supply chain model.

Coordinating of multi-echelon supply chains through the generalized (R, S) policy / Shaban, A.; Costantino, F.; Di Gravio, G.; Tronci, M.. - In: SIMULATION. - ISSN 0037-5497. - 96:9(2020), pp. 767-778. [10.1177/0037549720920708]

Coordinating of multi-echelon supply chains through the generalized (R, S) policy

Shaban A.
;
Costantino F.;Di Gravio G.;Tronci M.
2020

Abstract

Numerous studies have confirmed the negative impact of the lack of coordination on supply chain performance. In particular, the lack of coordination leads to the bullwhip effect, which has severe impacts on supply chain stability. This paper evaluates a proposed coordination mechanism that allows a decentralized information sharing in multi-echelon supply chains. The proposed mechanism “Info-Smooth” utilizes the ordering rule of the generalized (R, S) policy in which a replenishment order can be transferred to upstream echelons including two pieces of information (demand forecast and inventory balance). As the generalized (R, S) can allow order smoothing, Info-Smooth combines the power of both information sharing and order smoothing. A simulation modeling methodology is employed to investigate the effectiveness of Info-Smooth in a multi-echelon supply chain. The factorial design results have shown that Info-Smooth is successful in mitigating the bullwhip effect whilst keeping acceptable inventory stability, compared to the traditional supply chain model.
2020
(R, S); bullwhip effect; information sharing; simulation; supply chain coordination
01 Pubblicazione su rivista::01a Articolo in rivista
Coordinating of multi-echelon supply chains through the generalized (R, S) policy / Shaban, A.; Costantino, F.; Di Gravio, G.; Tronci, M.. - In: SIMULATION. - ISSN 0037-5497. - 96:9(2020), pp. 767-778. [10.1177/0037549720920708]
File allegati a questo prodotto
File Dimensione Formato  
Shaban_Coordinating_2020.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 2.74 MB
Formato Unknown
2.74 MB Unknown   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1435566
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 4
social impact