Continuous Review Inventory Model with Normally Distributed Fuzzy Random Variable Demand

Khan, Wasim Firoz; Dey, Oshmita

doi:10.1007/s40819-018-0564-0

Cited by 5 publications

(1 citation statement)

References 48 publications

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“…When the total material inventory level of all storage points is lower than the ordering point R, the material coordination centre issues the ordering request to the ordering centre, and orders the materials of Q units. (2) Supposing that the material demand Dit of any storage point i (1 ≤ i ≤ n) obeys the normal distribution N µ i , σ i 2 [14], and the material demand of each storage point every day is independent.…”

Section: Conditional Hypothesismentioning

confidence: 99%

Optimization of Ordering and Allocation Scheme for Distributed Material Warehouse Based on IGA-SA Algorithm

Jiang

Yun-long²,

Zhang

2020

Mathematics

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The distributed material warehouse is the crucial link in the process of modern enterprise construction, and the goal of the enterprise is to save the cost of material distribution and reduce the time of distribution. In order to obtain the optimal ordering and allocation scheme, firstly, a distributed inventory system consisting of an ordering centre, a material coordination centre and n material warehouses are considered, and the cost model of ordering and allocation of the distributed material warehouse is established. Next, the safety stock and the ordering point of the distributed material warehouse are solved. Then the improved genetic algorithm-simulated annealing algorithm (IGA-SA) is used to solve the optimization of the distributed material warehouse. Finally, the application example is given. The results show that the IGA-SA algorithm can effectively reduce inventory cost and improve inventory utilization.

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Section: Conditional Hypothesismentioning

confidence: 99%