scholarly journals MENGUKUR BULLWHIP EFFECT PRODUK MAS (PADA JARINGAN SUPPLY CHAIN PT.SEMBILAN PILAR UTAMA DAN SWALAYAN KOYA)

2019 ◽  
Vol 12 (2) ◽  
pp. 101-117
Author(s):  
Anugrah Putra Jaya ◽  
Syamsul Bachri

The purpose of this study is to measure the bullwhip effect in supply chain MAS 240 ml in PT. Sembilan Pilar Utama and Swalayan Koya. This research measure method is using bullwhip effect method that presented by Fransoo and Wouters (2000). The results of research, we know that the bullwhip effect happened because of the coefficient of variation orders higher than the coefficient of variation in product demand, inaccurate demand prediction, and order batching. The solution that may be effective to reduce the bullwhip effect that occurs is more concerned with the pattern of order and the product demand.Keywords: supply chain management, bullwhip effect.

2019 ◽  
Vol 12 (3) ◽  
pp. 171-179 ◽  
Author(s):  
Sachin Gupta ◽  
Anurag Saxena

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.


Author(s):  
Ratih Hendayani ◽  
Yudi Fernando

The increasing Halal product demand in the world made the Halal product industry should make sure all companies operation especially companies supply chain could guarantee product Halalness, so companies supply chain should comply Shariah or Islamic law. Some research about Halal supply chain already publish and give various perspectives about this topic. But unfortunately, there are one important thing that not discuss in previous research about Halal supply chain, the one important things is Islamic financial system that actually can support operation of Halal supply chain because based on the Islamic financial concept, the Halal supply chain can be not Halal or barakah if the supply chain financing not also comply with the Islamic law. For the integrated Halal supply chain, need included the Islamic Financial system, and this chapter will discuss Islamic financial that include in the Halal supply chain such as a Halal fund for the supply chain cost and Halal Financial flow. And bring a new perspective and definition of Halal supply chain management.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Fuan Zhang ◽  
Zhenzhi Gong

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.


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