Fuzzy information sharing policy based on tokens for Bullwhip Effect management in supply chains

2014 ◽  
Author(s):  
M. H. Fazel Zarandi ◽  
F. Shabany Moghadam ◽  
F. Dorry
Keyword(s):  
Supply Chains ◽  
Information Sharing ◽  
Bullwhip Effect ◽  
Fuzzy Information

Investigating the impact of inventory inaccuracy on the bullwhip effect in RFID-enabled supply chains using colored petri nets

2019 ◽  
Vol 14 (2) ◽  
pp. 360-384 ◽  
Author(s):  
Maria Drakaki ◽  
Panagiotis Tzionas
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Petri Nets ◽  
Information Sharing ◽  
Bullwhip Effect ◽  
Colored Petri Nets ◽  
Content Type ◽  
Multi Stage ◽  
The Impact ◽  
Serial Supply Chains

PurposeInformation distortion results in demand variance amplification in upstream supply chain members, known as the bullwhip effect, and inventory inaccuracy in the inventory records. As inventory inaccuracy contributes to the bullwhip effect, the purpose of this paper is to investigate the impact of inventory inaccuracy on the bullwhip effect in radio-frequency identification (RFID)-enabled supply chains and, in this context, to evaluate supply chain performance because of the RFID technology.Design/methodology/approachA simulation modeling method based on hierarchical timed colored petri nets is presented to model inventory management in multi-stage serial supply chains subject to inventory inaccuracy for various traditional and information sharing configurations in the presence and absence of RFID. Validation of the method is done by comparing results obtained for the bullwhip effect with published literature results.FindingsThe bullwhip effect is increased in RFID-enabled multi-stage serial supply chains subject to inventory inaccuracy. The information sharing supply chain is more sensitive to the impact of inventory inaccuracy.Research limitations/implicationsInformation sharing involves collaboration in market demand and inventory inaccuracy, whereas RFID is implemented by all echelons. To obtain the full benefits of RFID adoption and collaboration, different collaboration strategies should be investigated.Originality/valueColored petri nets simulation modeling of the inventory management process is a novel approach to study supply chain dynamics. In the context of inventory errors, information on RFID impact on the dynamic behavior of multi-stage serial supply chains is provided.

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

SIMULATION ◽  
2020 ◽  
Vol 96 (9) ◽  
pp. 767-778 ◽  
Author(s):  
Ahmed Shaban ◽  
Francesco Costantino ◽  
Giulio Di Gravio ◽  
Massimo Tronci
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Sharing ◽  
Negative Impact ◽  
Bullwhip Effect ◽  
Coordination Mechanism ◽  
Chain Model ◽  
Demand Forecast ◽  
Modeling Methodology ◽  
Information Demand

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.

Information sharing in decentralised supply chains with partial collaboration

2021 ◽  
Author(s):  
Roberto Dominguez ◽  
Salvatore Cannella ◽  
Borja Ponte ◽  
Jose M. Framinan
Keyword(s):  
Supply Chains ◽  
Information Sharing

System Performance Implications of Capacity and Flexibility Constraints on Bullwhip Effect in Supply Chains

2021 ◽  
Author(s):  
Arunachalam Narayanan ◽  
Alan W. Mackelprang ◽  
Manoj K. Malhotra
Keyword(s):  
Supply Chains ◽  
System Performance ◽  
Bullwhip Effect

Information sharing and coordination mechanisms for managing uncertainty in supply chains: a simulation study

2011 ◽  
Vol 49 (3) ◽  
pp. 765-803 ◽  
Author(s):  
Partha Priya Datta ◽  
Martin G. Christopher
Keyword(s):  
Supply Chains ◽  
Information Sharing ◽  
Simulation Study ◽  
Coordination Mechanisms

The impact of replenishment parameters and information sharing on the bullwhip effect: A computational study

2008 ◽  
Vol 35 (11) ◽  
pp. 3657-3670 ◽  
Author(s):  
Thomas Kelepouris ◽  
Panayiotis Miliotis ◽  
Katerina Pramatari
Keyword(s):  
Information Sharing ◽  
Computational Study ◽  
Bullwhip Effect ◽  
The Impact

scholarly journals Analysis of the bullwhip effect with multi-echelon, multi-product supply chains

2013 ◽  
Vol 4 (4) ◽  
pp. 579-586 ◽  
Author(s):  
M. Ghaffari ◽  
N. Javadian
Keyword(s):  
Supply Chains ◽  
Bullwhip Effect
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