An expert inventory control system for CIM: design and integration strategy

1994 ◽  
Author(s):  
A. Ajmal
Keyword(s):  
Control System ◽  
Inventory Control ◽  
Integration Strategy

Implementation of an Inventory Control System for a Computer Center Using QR Codes on Android Mobile Devices

2017 ◽  
Vol 7 (11) ◽  
pp. 50
Author(s):  
Gustavo Poot Tah ◽  
Erika Llanes Castro ◽  
José Luis López Martínez ◽  
Victor Chi Pech
Keyword(s):  
Control System ◽  
Inventory Control ◽  
Mobile Devices ◽  
Mobile Application ◽  
Free Software ◽  
Qr Codes ◽  
Design And Development ◽  
Computer Center

This paper presents the design and development of a mobile application that uses QR codes for the inventory control of a computer center. This application was developed to support the administration of the computer center of the Multidisciplinary Unit Tizimin, with the aim to reduce costs and time of searching for articles when making an inventory, by leveraging the capabilities of smartphones and tablets. The implementation of the system was carried out using free software.

Sistem Informasi Pengendalian Persediaan Barang Menggunakan Metode Economic Order Quantity (EOQ)

IJAcc ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 132-139
Author(s):  
Erna Astriyani ◽  
Desy Apriani ◽  
Meri Mayang Sari
Keyword(s):  
Control System ◽  
System Design ◽  
Inventory Control ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Control System Design ◽  
Order Quantity ◽  
Microsoft Excel ◽  
Total Cost ◽  
Control Information

The system that is currently running in recording inventory at PT Berlina Tbk Tangerang is considered ineffective and efficient because it still uses paper and the process of inputting and recapping goods data is semi-computerized in Microsoft Excel. which causes problems, namely too much stock of goods so that it increases the load in the warehouse and too little stock of goods which results in an exhaustion of stock in the warehouse. To solve this problem, we need an inventory control information system. The method of analysis uses the EOQ (Economic Order Quantity) method. For the system design process using sublime as the writing language and programming PHP, and XAMPP as localhost, the database uses MySQL. This study aims to design an inventory control system in the HRD department at PT Berlina Tbk Tangerang, and to make it easier for the HRD Department to input and create inventory reports. With this research, it can produce an inventory control system design that is more effective and efficient and can find out the storage costs in the warehouse. From the calculation of the EOQ method, it is found that it is 20% smaller than the previous storage and the total cost of ordering in a year is 2x orders. Thus, it means that there is a very real difference between the inventory policies implemented by the company and the EOQ method.

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 User-centered design and usability testing of RxMAGIC: a prescription management and general inventory control system for free clinic dispensaries

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Arielle M. Fisher ◽  
Timothy M. Mtonga ◽  
Jeremy U. Espino ◽  
Lauren J. Jonkman ◽  
Sharon E. Connor ◽  
...  
Keyword(s):  
Control System ◽  
Inventory Control ◽  
Usability Testing ◽  
User Centered Design ◽  
Free Clinic ◽  
User Centered

scholarly journals Metamodelling of Inventory-Control Simulations Based on a Multilayer Perceptron

2019 ◽  
Vol 20 (3) ◽  
pp. 251-259 ◽  
Author(s):  
Ilya Jackson ◽  
Jurijs Tolujevs ◽  
Sebastian Lang ◽  
Zhandos Kegenbekov
Keyword(s):  
Control System ◽  
Inventory Control ◽  
Multilayer Perceptron ◽  
Simulation Optimization ◽  
Activation Function ◽  
Control Problems ◽  
Perishable Products ◽  
Stochastic Inventory ◽  
Stochastic Inventory Control ◽  
Rectified Linear Unit

Abstract Inventory control problems arise in various industries, and each single real-world inventory is replete with non-standard factors and subtleties. Practical stochastic inventory control problems are often analytically intractable, because of their complexity. In this regard, simulation-optimization is becoming more and more popular tool for solving complicated business-driven problems. Unfortunately, simulation, especially detailed, is both time and memory consuming. In the light of this fact, it may be more reasonable to use an alternative cheaper-to-compute metamodel, which is specifically designed in order to approximate an original simulation. In this research we discus metamodelling of stochastic multiproduct inventory control system with perishable products using a multilayer perceptron with a rectified linear unit as an activation function.

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