scholarly journals ORDER LEVEL OPTIMIZATION IN INVENTORY MANAGEMENT USING ARENA SIMULATION MODEL

2021 ◽  
Vol 11 (2) ◽  
pp. 257-266
Keyword(s):  
Simulation Model ◽  
Inventory Management ◽  
Arena Simulation

Spreadsheet Simulation Model For Inventory Management

SIMULATION ◽  
1994 ◽  
Vol 63 (1) ◽  
pp. 32-43 ◽  
Author(s):  
Zbigniew H. Przasnyski
Keyword(s):  
Simulation Model ◽  
Inventory Management

scholarly journals Optimization of the system of management of stores of the car service with the help of imitation simulation

2021 ◽  
Vol 334 ◽  
pp. 01022
Author(s):  
Vitaliy Bugrimov ◽  
Vladimir Sarbaev
Keyword(s):  
Simulation Model ◽  
Inventory Management ◽  
Optimal Parameters ◽  
Stock Level ◽  
Service Station ◽  
Search Optimization ◽  
Theoretical Foundations

The purpose of simulation is described, the theoretical foundations of the simulation model of inventory management at the service station with its scheme are given. The criterial function of delays, which is the main one in the management of stocks at the service station, is given, the analysis of the influence of the controlled parameters of the model on the criterial function is carried out. The algorithm of search optimization with integration into the simulation model is resulted and optimal parameters of the stock level

Simulation of different reordering policies for optimizing the inventory of perishable food: an Italian case study

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Elena Piva ◽  
Letizia Tebaldi ◽  
Giuseppe Vignali ◽  
Eleonora Bottani
Keyword(s):  
Simulation Model ◽  
Inventory Management ◽  
Typical Case ◽  
Perishable Products ◽  
Order Interval ◽  
Perishable Items ◽  
Food And Beverages ◽  
Italian Case ◽  
Abc Analysis

Abstract Inventory management represents one of the main criticalities that companies have to face. The challenge is twofold: being able to satisfy a demand whose behavior can significantly vary and be unpredictable in order to avoid stock-out situations, whilst limiting excessive stocks and consequently costs. Some factors can complicate this already inherently difficult task. An example is the presence of constraints on the time for storage, which is the typical case for perishable products such as food and beverages, core business of the Italian company subject of the case study described in this paper. To optimize the reorder process in that context, a simulation model was developed for evaluating the potentials of three traditional reordering policies (i.e., Re-Order Point, Re-Order Interval, and (s, S)) to be applied to a set of products managed by the company, including perishable items, and for testing their performance. The items tested were selected through a preliminary ABC analysis, carried out on the volumes handled. A comparison with the current performance of the company’s and that achievable with the optimized policies is proposed.

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