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

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

Author(s):  
Pornthep Kaewchur, Et. al.

The purposes of this research were to study the inventory management factors affecting the competitive advantageand confirm the inventory management factors affecting the competitive advantage. This research was a mixed methods research.First, the quantitative data was collected from the sample of 280 small and medium companies in Thailand. This research focusedon 14 observable variables. Then, the qualitative data was collected from nine key informants who were the experts in theinventory management field. The results indicated that the structural equation model was consistent and harmonious with theempirical data with the model consistency indices as follows: 2= 106.32, df = 69, 2/ df = 1.54, CFI = 0.99, GFI = 0.95, SRMR= 0.042, RMSEA = 0.044. Furthermore, the inventory control systems had the greatest influence on the competitive advantage,followed by inventory control practices, and information technology, respectively.


2018 ◽  
Vol 73 ◽  
pp. 13021 ◽  
Author(s):  
Mustafid ◽  
Dwi Ispriyanti ◽  
Sugito ◽  
Diah Safitri

Product inventory control can be used to provide information related to processes of production and distribution products based on lead time and product demand from consumers. The research aims to design product inventory control systems for stochastic lead time demand, and using exponential smoothing to make lead time demand prediction. The design of the control system uses the probability method based on the estimated number of product demand from the market or consumer. This research provides theoretical framework for control systems of products that can determine the size of inventory parameters in supply chain management, that is reorder point and fixed order quantity, so it can manage the production amount and supply of products according to market or consumer demand. The benefits of a product control systems in the inventory management are to provide the necessary inventory allocation information in making decisions to determine the amount of production and distribution of products to consumers.


Author(s):  
Tan Liong Ching ◽  
Nureize Binti Arbaiy

The smart store system (F3 Storage System) provides an inventory system function, and is supported by voice recognition for items searching purpose in the warehouse. This system is aimed to improve effectiveness in item searching process for the warehouse management. An inventory system structures is employed in this system to enable items management. Voice recognition facility helps the worker to search item in an effective way. Worker can use voice recognition function to search the item in the warehouse, and searched information of the item will be displayed in the liquid crystal display (LCD) screen. Meanwhile, the location of the item will be physically indicated by the light emitting diode (LED) light function. The developed system also contains a barcode system to enhance the process of scheduling warehouse activity. Such facilities will enhance the capabilities of existing inventory management systems in warehouses. Prototyping model is used to assist project development. Arduino technology is used to enable integrated hardware and software to read data or input. With Arduino technology, traditional search items by using text and search functionality are enhanced to allow speech functionality. This functionality makes the search process faster and more efficient.


2021 ◽  
pp. 1-30
Author(s):  
F. D. Maia ◽  
J. M. Lourenço da Saúde

ABSTRACT A state-of-the-art review of all the developments, standards and regulations associated with the use of major unmanned aircraft systems under development is presented. Requirements and constraints are identified by evaluating technologies specific to urban air mobility, considering equivalent levels of safety required by current and future civil aviation standards. Strategies, technologies and lessons learnt from remotely piloted aviation and novel unmanned traffic management systems are taken as the starting point to assess operational scenarios for autonomous urban air mobility.


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