Notice of Retraction: A Study on How the Supply Chain Collaboration Influences the Bullwhip Effect

2009 ◽  
Author(s):  
Lei Wang ◽  
Xueqi Zhu
Keyword(s):  
Supply Chain ◽  
Bullwhip Effect ◽  
Supply Chain Collaboration

scholarly journals CPN Based Modeling of Tourism Demand Forecasting

2016 ◽  
Vol 12 (1) ◽  
pp. 28
Author(s):  
Hua Bai ◽  
Haoyuan Zhang
Keyword(s):  
Supply Chain ◽  
Good Practice ◽  
Demand Forecasting ◽  
Bullwhip Effect ◽  
Service Level ◽  
Supply Chain Collaboration ◽  
Tourism Demand ◽  
High Volatility ◽  
Low Efficiency ◽  
Tourism Supply Chain

The tourism demand has become more and more diversified and sensitive to traveling environment, resulting in the high volatility of tourism market. Travel agencies, scenic spots, hotels and other tourism businesses in the tourism supply chain (TSC) need a tight collaboration in order to minimize cost and improve responsiveness and service level. The existence of the bullwhip effect will cause the waste of resources and low efficiency, thus collaborative demand forecasting becomes a good practice to enhance sharing of information and resources, and as a result improving the efficiency and effectiveness of tourism demand forecasting. This paper proposes a collaborative tourism demand forecasting framework based on Colored Petri Net (CPN), which can simulate and examine the effectiveness of tourism supply chain collaboration.

A Review on the Application of Neural Networks for Decreasing Bullwhip Effect in Supply Chain

2015 ◽  
Vol 9 (5) ◽  
pp. 438
Author(s):  
Milad Yousefi ◽  
Moslem Yousefi ◽  
Ricardo Poley Martins Ferreira
Keyword(s):  
Neural Networks ◽  
Supply Chain ◽  
Bullwhip Effect

Classification of Operational and Financial Variables Affecting the Bullwhip Effect in Indian Sectors: A Machine Learning Approach

2019 ◽  
Vol 12 (3) ◽  
pp. 171-179 ◽  
Author(s):  
Sachin Gupta ◽  
Anurag Saxena
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Product Life Cycle ◽  
Consumer Preference ◽  
Bullwhip Effect ◽  
Machine Learning Techniques ◽  
Chain Management ◽  
Financial Variables

Background: The increased variability in production or procurement with respect to less increase of variability in demand or sales is considered as bullwhip effect. Bullwhip effect is considered as an encumbrance in optimization of supply chain as it causes inadequacy in the supply chain. Various operations and supply chain management consultants, managers and researchers are doing a rigorous study to find the causes behind the dynamic nature of the supply chain management and have listed shorter product life cycle, change in technology, change in consumer preference and era of globalization, to name a few. Most of the literature that explored bullwhip effect is found to be based on simulations and mathematical models. Exploring bullwhip effect using machine learning is the novel approach of the present study. Methods: Present study explores the operational and financial variables affecting the bullwhip effect on the basis of secondary data. Data mining and machine learning techniques are used to explore the variables affecting bullwhip effect in Indian sectors. Rapid Miner tool has been used for data mining and 10-fold cross validation has been performed. Weka Alternating Decision Tree (w-ADT) has been built for decision makers to mitigate bullwhip effect after the classification. Results: Out of the 19 selected variables affecting bullwhip effect 7 variables have been selected which have highest accuracy level with minimum deviation. Conclusion: Classification technique using machine learning provides an effective tool and techniques to explore bullwhip effect in supply chain management.

scholarly journals Supply Chain Collaboration

Supply Chain ◽  
10.5772/5333 ◽  
2008 ◽  
Author(s):  
Ana Meca ◽  
Judith Timmer
Keyword(s):  
Supply Chain ◽  
Supply Chain Collaboration

scholarly journals Global Value Chains’ Disaggregation through Supply Chain Collaboration, Market Turbulence, and Performance Outcomes

2021 ◽  
Vol 13 (8) ◽  
pp. 4151
Author(s):  
Amit Arora ◽  
Anshu Arora ◽  
Julius Anyu ◽  
John McIntyre
Keyword(s):  
Supply Chain ◽  
Organizational Performance ◽  
The United States ◽  
Global Value Chains ◽  
Theory And Practice ◽  
Value Chains ◽  
Supply Chain Collaboration ◽  
Doing Business ◽  
Market Turbulence ◽  
Relational Outcomes

This research examines supply chain collaboration effects on organizational performance in global value chain (GVC) infrastructure by focusing on GVC disaggregation, market turbulence, inequality, market globalization, product diversity, exploitation, and technological breakthroughs. The research strives to develop a better understanding of global value chains through relational view, behavioral, and contingency theories along with institutional and stakeholder theories of supply chains. Based on conflicting insights from these theories, this research investigates how relationships and operational outcomes of collaboration fare when market turbulence is present. Data is obtained and analyzed from focal firms that are engaged in doing business in emerging markets (e.g., India), and headquartered in the United States. We investigate relational outcomes (e.g., trust, credibility, mutual respect, and relationship commitment) among supply chain partners, and found that these relational outcomes result in better operational outcomes (e.g., profitability, market share increase, revenue generation, etc.). From managerial standpoint, supply chain managers should focus on relational outcomes that can strengthen operational outcomes in GVCs resulting in stronger organizational performance. The research offers valuable insights for theory and practice of global value chains by focusing on the GVC disaggregation through the measurement of market turbulence, playing a key role in the success of collaborative buyer–supplier relationships (with a focus on US companies doing business in India) leading to an overall improved firm performance.

The effect of people on the supply chain world: Some overlooked issues

2005 ◽  
Vol 24 (3) ◽  
pp. 197-208
Author(s):  
Matthew W. McCarter ◽  
Stanley E. Fawcett ◽  
Gregory M. Magnan
Keyword(s):  
Information Technology ◽  
Organizational Culture ◽  
Supply Chain ◽  
Technology Integration ◽  
Education And Training ◽  
Educational Programs ◽  
Supply Chain Integration ◽  
Supply Chain Collaboration ◽  
And Training

Some scholars have been so blunt as to claim that information technology is the answer to all the problems facing supply chain managers. We posit that, although information technology integration is necessary for a supply chain to succeed, people are also crucial. We further propose that managers must take into consideration organizational culture and the education and training of employees to facilitate supply chain collaboration and success. We interviewed 51 senior-level supply chain managers across five channel positions. Findings support our position that management of people is crucial to supply chain integration, and that integration is improved through an accommodating organizational culture and training and educational programs. Also from our findings, we supply a prescription for building the supply chain cross-functional manager.

A Fuzzy agent-based model for reduction of bullwhip effect in supply chain systems

2008 ◽  
Vol 34 (3) ◽  
pp. 1680-1691 ◽  
Author(s):  
M.H. Fazel Zarandi ◽  
M. Pourakbar ◽  
I.B. Turksen
Keyword(s):  
Supply Chain ◽  
Bullwhip Effect ◽  
Agent Based Model ◽  
Agent Based
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