Robust inventory control systems

2004 ◽  
Author(s):  
Jin Wang ◽  
E.B. Ydstie
Keyword(s):  
Control Systems ◽  
Inventory Control

Multi-objective particle swarm optimisation approach for production-inventory control systems

2018 ◽  
Vol 13 (4) ◽  
pp. 1037-1056 ◽  
Author(s):  
Huthaifa AL-Khazraji ◽  
Colin Cole ◽  
William Guo
Keyword(s):  
Control System ◽  
Control Systems ◽  
Inventory Control ◽  
Dynamic Performance ◽  
Particle Swarm ◽  
Particle Swarm Optimisation ◽  
Inventory Level ◽  
Content Type ◽  
Multi Objective ◽  
Production Inventory

Purpose This paper aims to optimise the dynamic performance of production–inventory control systems in terms of minimisation variance ratio between the order rate and the consumption, and minimisation the integral of absolute error between the actual and the target level of inventory by incorporating the Pareto optimality into particle swarm optimisation (PSO). Design/method/approach The production–inventory control system is modelled and optimised via control theory and simulations. The dynamics of a production–inventory control system are modelled through continuous time differential equations and Laplace transformations. The simulation design is conducted by using the state–space model of the system. The results of multi-objective particle swarm optimisation (MOPSO) are compared with published results obtained from weighted genetic algorithm (WGA) optimisation. Findings The results obtained from the MOPSO optimisation process ensure that the performance is systematically better than the WGA in terms of reducing the order variability (bullwhip effect) and improving the inventory responsiveness (customer service level) under the same operational conditions. Research limitations/implications This research is limited to optimising the dynamics of a single product, single-retailer single-manufacturer process with zero desired inventory level. Originality/value PSO is widely used and popular in many industrial applications. This research shows a unique application of PSO in optimising the dynamic performance of production–inventory control systems.

scholarly journals Clustering for inventory control systems

2018 ◽  
Vol 51 (11) ◽  
pp. 1174-1179 ◽  
Author(s):  
E. Balugani ◽  
F. Lolli ◽  
R. Gamberini ◽  
B. Rimini ◽  
A. Regattieri
Keyword(s):  
Control Systems ◽  
Inventory Control

scholarly journals An Analysis Regarding the Possibility of Using Fuzzy Logic in Inventory Management

2014 ◽  
Vol 64 (1) ◽  
pp. 76-81
Author(s):  
Claudiu-Leonardo Stoia
Keyword(s):  
Fuzzy Logic ◽  
Control Systems ◽  
Inventory Control ◽  
Inventory Management ◽  
State Of The Art ◽  
Inventory System ◽  
Starting Point

Abstract The paper presents a brief state-of-the-art survey regarding the use of fuzzy logic in inventory management. Its goal is to motivate enthusiastic entrepreneurs to take into account the benefits of using fuzzy logic inventory control systems. It offers a guide to model an inventory system having a free fuzzy tool as starting point

Functionalities of production-inventory control systems

1991 ◽  
Vol 2 (3) ◽  
pp. 219-227 ◽  
Author(s):  
J. MAES ◽  
L. N. VAN WASSENHOVE
Keyword(s):  
Control Systems ◽  
Inventory Control ◽  
Production Inventory
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