scholarly journals A beer game simulation model for studying the impact of information sharing to diminish the bullwhip effect in supply chains: an educational support tool in supply chain management

2016 ◽  
Vol 11 (2) ◽  
pp. 53-66
Author(s):  
Éder Vasco Pinheiro ◽  
Enzo Morosini Frazzon ◽  
Leonardo Sgnaolin ◽  
Luiz Henrique Souza Mendonça
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Information Sharing ◽  
Bullwhip Effect ◽  
Educational Support ◽  
Chain Management ◽  
Support Tool ◽  
Game Simulation ◽  
The Impact ◽  
Beer Game

scholarly journals Supply Chain Inventory Collaborative Management and Information Sharing Mechanism Based on Cloud Computing and 5G Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Fuan Zhang ◽  
Zhenzhi Gong
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Internet Of Things ◽  
Information Sharing ◽  
Bullwhip Effect ◽  
Collaborative Management ◽  
Computing Technology ◽  
Chain Management ◽  
Information Sharing Mechanism

With the development of economic globalization, the competition among enterprises is increasingly fierce. Therefore, companies need close information sharing to realize the integration of supply chain. This article aims to study the collaborative management and information sharing mechanism of supply chain inventory based on cloud computing and 5G Internet of Things. This article first introduces the theory and methods of collaborative supply chain management and the information exchange mechanism and then discusses the problem of information sharing in the supply chain, that is, the bullwhip phenomenon, and then from the demand forecast, supply chain structure, time lag, and shortage game, six aspects are analyzed. The cause of the bullwhip phenomenon is analyzed. Secondly, this article proposes a quantitative analysis of the bullwhip effect, establishes a mathematical model of the bullwhip effect in the supply chain, and uses quantitative analysis to analyze the value of information sharing in the supply chain. Finally, this article uses cloud computing technology to build a supply chain information collaboration system architecture and uses EPC Internet of Things to build a supply chain information sharing model and describes the entire operation process of the supply chain. The experimental results of this paper show that the application of cloud computing technology to supply chain management establishes a system platform for supply chain information sharing, improves the overall operational efficiency of supply chain management, and realizes supply chain information sharing and business collaboration. In addition, the operating costs and risks of each node enterprise in the supply chain are reduced by 12% compared with the nonsharing situation, which also shows that the overall benefits of the supply chain have been correspondingly improved and market competitiveness has been enhanced.

scholarly journals Assessing the Impact of Prices Fluctuation on Demand Distortion Within a Multi-echelon Supply Chain

2012 ◽  
Vol 23 (2) ◽  
pp. 131-140 ◽  
Author(s):  
Francisco Campuzano Bolarín ◽  
Antonio Guillamón Frutos ◽  
Andrej Lisec
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Bullwhip Effect ◽  
Forecasting Model ◽  
Systems Dynamics ◽  
Price Fluctuation ◽  
Chain Management ◽  
On Demand ◽  
Demand Pattern ◽  
The Impact

Price fluctuation is a practice commonly used by companies to stimulate demand and a main cause of the Bullwhip effect. Assuming a staggered step demand pattern that responds elastically to retailer’s price fluctuation, and by using a supply chain management dynamic model, we will analyse the impact of these fluctuations on the variability of the orders placed along a traditional multilevel supply chain. Subsequently, the results obtained will serve to propose a forecasting model enabling to calculate the potential variability of orders placed by each echelon on the basis of the price pattern used. Finally, under the hypothesis of an environment of collaboration between the different members of the chain, we propose a predictive model that makes it possible to quantify the distortion of the orders generated by each level. KEYWORDS: Bullwhip effect, systems dynamics, price fluctuation, supply chain management

The Bullwhip Effect

2014 ◽  
Vol 5 (1) ◽  
pp. 33-51 ◽  
Author(s):  
Yohannes Yebabe
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Inventory Management ◽  
Demand Management ◽  
Simulated Data ◽  
Bullwhip Effect ◽  
Customer Relationship ◽  
Causality Analysis ◽  
Chain Management ◽  
The Impact

Supply chain management is a fledgling science which concerned with synchronization of both material flow and information flow by integrating companies for a common objective to meet the requirements of the end customer. Bullwhip effect is an important research topic of the supply chain management. The Bullwhip effect is precarious to both short and long run competitive advantage, the dependability sustainability advantage of the chain. This paper proposes to show the impact of the Bullwhip effect on the supply chain using experimentally simulated data from Beer distribution game. The game represents a simple supply chain which consists of factory, distributor, wholesaler and retailer. The paper used empirical models of ANOVA, spectral density estimation, ARMAX and Cochrane- Orcutt autoregression. The result of the study prevails that when we quantify the impact of the Bullwhip effect to different actors of the supply chain with respect of inventory holding cost and stock-out case it is found that different cost implications. When quantifying the impact of the Bullwhip effect to the whole supply chain it is found that at least one of the competitive advantages of the chain is lost. When generalizing it the all the actors in the supply chain will suffer from the Bullwhip effect. The overall evidence from statistical causality analysis suggest that without proper both intra-organizational and inter-organizational coordination of the companies across the supply chain it is difficult to have effective and efficient customer relationship management, customer demand management and inventory management.

scholarly journals Pengaruh Praktik-Praktik Supply Chain Management terhadap Kinerja Perusahaan pada Industri Furnitur di Palangka Raya

2020 ◽  
Vol 1 (3) ◽  
pp. 274-282
Author(s):  
Hestina Pratiwi ◽  
Yohanes Kalvin Anggen ◽  
Deddy Rakhmad Hidayat
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Firm Performance ◽  
Information Sharing ◽  
Management Practices ◽  
Sampling Technique ◽  
Customer Relationship ◽  
Furniture Industry ◽  
Chain Management ◽  
The Impact

This research purpose is to analyze the impact of supply chain management practices on firm performance in furniture industry of Palangka Raya. Research method deskriptif quantitative, the number of respondents was 60 people. the number of samples collected was 46 respondents. The sampling technique use judgment sampling, with criteria for the leadership of furniture industry in Palangka Raya Data collection techniques using a questionnaire with a likert scale, Data analysis techniques used descriptive statistical analysis and multiple linear regression. The analysis shows that the results of strategic supplier partnership, customer relationship, level of information sharing, quality of information sharing, postponement the partially have a significant impact on firm performance. the simultaneously supply chain management practices have a significant impact on firm performance.

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 Mapping domain characteristics influencing Analytics initiatives: The example of Supply Chain Analytics

2020 ◽  
Vol 13 (1) ◽  
pp. 56
Author(s):  
Tino Herden
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Success Factors ◽  
Research Collaboration ◽  
Future Research ◽  
Structured Interviews ◽  
Chain Management ◽  
Domain Specific ◽  
The Status ◽  
The Impact

Purpose: Analytics research is increasingly divided by the domains Analytics is applied to. Literature offers little understanding whether aspects such as success factors, barriers and management of Analytics must be investigated domain-specific, while the execution of Analytics initiatives is similar across domains and similar issues occur. This article investigates characteristics of the execution of Analytics initiatives that are distinct in domains and can guide future research collaboration and focus. The research was conducted on the example of Logistics and Supply Chain Management and the respective domain-specific Analytics subfield of Supply Chain Analytics. The field of Logistics and Supply Chain Management has been recognized as early adopter of Analytics but has retracted to a midfield position comparing different domains.Design/methodology/approach: This research uses Grounded Theory based on 12 semi-structured Interviews creating a map of domain characteristics based of the paradigm scheme of Strauss and Corbin.Findings: A total of 34 characteristics of Analytics initiatives that distinguish domains in the execution of initiatives were identified, which are mapped and explained. As a blueprint for further research, the domain-specifics of Logistics and Supply Chain Management are presented and discussed.Originality/value: The results of this research stimulates cross domain research on Analytics issues and prompt research on the identified characteristics with broader understanding of the impact on Analytics initiatives. The also describe the status-quo of Analytics. Further, results help managers control the environment of initiatives and design more successful initiatives.

scholarly journals Impact of Gender and Expatriation Choice on Career Paths in Supply Chain Management: Evidence from Master of Science Graduates

2021 ◽  
Vol 13 (12) ◽  
pp. 6907
Author(s):  
Salomée Ruel ◽  
Anicia Jaegler
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Career Paths ◽  
Gender Diversity ◽  
Career Progression ◽  
Relative Importance ◽  
Chain Management ◽  
Master Of Science ◽  
International Graduates ◽  
The Impact

Zinn et al. (2018) and Esper et al. (2020) call for more research on gender diversity in Supply Chain Management, and our study responds to that call. We analyze the career path of 1081 international graduates from a higher degree program in Supply Chain Management from 2000 to 2017 to assess the impact of gender and expatriation choice on hierarchical progression. We explore two variables that may affect graduates’ career paths, namely, their gender and their expatriation choices, and compare their relative importance. Our analysis shows that there were, on average, 33.5% women recruited in the MSc and that this has not significantly changed over the years. It also shows that gender significantly influences the number of years spent at each level in the career hierarchy and the level reached. Regarding expatriation choice, this variable has some significant impacts on career progression. Finally, statistics indicate that gender has a far greater influence on career progression than expatriation choice. Overall, this study proves the difficulties for women in enjoying the same career progression as men in the field of Supply Chain Management.

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