The simulation and optimizing of different distribution strategies for the distribution centre based on Flexsim

2011 ◽  
Author(s):  
Xiangguo Ma ◽  
Yimin Yin ◽  
Tongjuan Liu
Keyword(s):  
Distribution Centre

Assessment of efficiency of distribution centre at different variants of freight traffic consolidation

2021 ◽  
pp. 22-27
Author(s):  
Elena Dmitrievna Pserovskaya ◽  
◽  
Anna Pavlovna Grefenshteyn ◽  
Keyword(s):  
Potential Benefit ◽  
High Efficiency ◽  
Positive Influence ◽  
Correct Selection ◽  
Freight Traffic ◽  
Distribution Centre ◽  
Selection Of

For the determination of a potential benefit from creation of a distribution centre the paper proposes a method and presents results of calculation of a decrease of total number of rides and total run of automobiles at various variants of goods consolidation. The authors have established a positive influence of the centre on intracity transportation. At the same time, high efficiency of the considered technology can be reached by involvement of a bigger number of consignees and by consolidation of a relatively small number of goods batches in one automobile at efficient routing and correct selection of location of a distribution centre.

Markovian Analysis of a Push-Pull Merge System with Two Suppliers, An Intermediate Buffer, and Two Retailers

2017 ◽  
Vol 8 (2) ◽  
pp. 1-35 ◽  
Author(s):  
Alexandros Diamantidis ◽  
Stylianos Koukoumialos ◽  
Michael Vidalis
Keyword(s):  
Continuous Time ◽  
Transition Matrix ◽  
Control Policy ◽  
Order Quantity ◽  
Arrival Times ◽  
Continuous Review ◽  
Distribution Centre ◽  
Inventory Control Policy ◽  
Service Rates ◽  
Stationary Probabilities

This paper examines a push-pull merge system with two suppliers, two retailers and an intermediate buffer (distribution centre). Two reliable non identical suppliers performing merge operations feed a buffer that is located immediately upstream of two non-identical reliable retailers. External customers arrive to each retailer with non-identical inter-arrival times that are exponentially distributed. The amount ordered from each retailer by a customer is exactly one unit. The material flows between upstream stages (suppliers) is push type, while between downstream stages (retailers) it is driven by continuous review, reorder point/order quantity inventory control policy (s,S). Both suppliers and retailers have exponential service rates. The considered system is modelled as a continuous time Markov process with discrete states. An algorithm that generates the transition matrix for any value of the parameters of the system is developed. Once the transition matrix is known the stationary probabilities can be computed and therefore the performance measures of the model under consideration can be easily evaluated.

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