scholarly journals Dynamic Complexities in a Supply Chain System with Lateral Transshipments

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Yongchang Wei ◽  
Fangyu Chen ◽  
Feng Xiong

The horizontal interaction between retailers, coupled with replenishment rules and time delays, makes the dynamics in supply chain systems highly complicated. This paper aims to explore the impacts of lateral transshipments on the stability, bullwhip effect, and other performance measurements in the context of a two-tiered supply chain system composed of one supplier and two retailers. In particular, we developed a unified discrete-time state space model to address two different scenarios of placing orders. Analytical stability results are derived, through which we found that inappropriate lateral transshipment policies readily destabilize the supply chain system. Moreover, the lead time of lateral transshipments further complicates the stability problem. Theoretical results are validated through simulation experiments and the influences of system parameters on performance measures are investigated numerically. Numerical simulations show that lateral transshipments help improve the customer service level for both retailers. It is also interesting to observe that the demand of the two retailers can be satisfied even if only one retailer places orders from the upstream supplier.

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Yongchang Wei ◽  
Fangyu Chen ◽  
Hongwei Wang

This paper presents some analytical results on production and order dynamics in the context of a discrete-time VMI supply chain system composed of one retailer and one manufacturer. We firstly derive the lower bound and upper bound on the range of inventory fluctuations for the retailer under unknown demand. We prove that the production fluctuations can be interestingly smoothed and stabilized independent of the delivery frequency of the manufacturer used to satisfy the retailer’s demand, even if the retailer subsystem is unstable. The sufficient and necessary stability condition for the whole supply chain system is obtained. To further explore the production fluctuation problem, the bullwhip effect under unknown demand is explored based on a transfer function model with the purpose of disclosing the influences of parameters on production fluctuations. Finally, simulation experiments are used to validate the theoretical results with respect to inventory and production fluctuations.


2021 ◽  
Vol 11 (20) ◽  
pp. 9744
Author(s):  
Jing Li ◽  
Yafei Song

As the interaction between companies becomes more and more complex, the problems of asymmetric information, weak traceability, and low collaboration efficiency in the traditional centralized supply chain are becoming increasingly prominent. To solve these problems, this paper designs a supply chain system based on blockchain. With the help of trade chain and information chain platforms, an overall framework of the supply chain system is constructed. By formulating platform interaction rules, the system information exchange format is standardized to ensure the stability and efficiency of system interaction. Smart contracts are used to manage supply chain system transactions and information interactions to achieve efficient and convenient information sharing, ensuring the security and reliability of supply chain information. The comprehensive performance of the system is evaluated through experiments. Experimental results indicate that while the system realizes the basic functions of the supply chain, it can promote the sharing of information between participants and improve its efficiency.


2018 ◽  
Vol 144 ◽  
pp. 05003
Author(s):  
Ayush Shrivastava ◽  
Raghavendra Kamath ◽  
Himanshu Sharma ◽  
Ajitesh Gogoi

A study has been conducted to understand the effect of bullwhip phenomenon in a supply chain system. The hypothetical data collected from the study is used to make a model which can be used to simulate the operation of the system with moderate complexity. System dynamics approach is used to create an open loop system. The phenomenon used is slightly modified and empirically analysed to bring down its adverse effect on the system. The results obtained graphically are emphasising the effect of bullwhip on the various levels of the supply chain system.


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