Results 21 to 30 of about 165,942 (301)

Application of Industrial Engineering Techniques for Continuous Improvement in Plastic Industry

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2021
Abstract: Industrial engineering is a specified field of engineering that deals with the design, improvement, and installation of integrated systems such as of people, materials, and energy in industry. Industrial engineers use specialized knowledge and skills in the mathematical, physical and social sciences, together with the principles and methods ...
openaire   +1 more source

Improved Action-Decision Network for Visual Tracking With Meta-Learning

open access: yesIEEE Access, 2019
Visual tracking is a challenging problem since it usually faces adverse factors, such as object deformation, fast motion, occlusion, and background clutter in practical applications.
Detian Huang   +3 more
doaj   +1 more source

Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification

open access: yesIEEE Access, 2018
The diagnosis of blood-related diseases involves the identification and characterization of a patient's blood sample. As such, automated methods for detecting and classifying the types of blood cells have important medical applications in this field ...
Gaobo Liang   +3 more
doaj   +1 more source

Improving Productivity in the Manufacturing Industry by using Industrial Engineering Tools and techniques

open access: yesInternational Journal of Management and Humanities, 2020
Planning and designing of manufacturing processes and material handling equipment are effective, helps to achieve maximum productivity through maximum utilization of the available resources. This paper aims to study the implementations of industrial engineering tools in the manufacturing industry.
Ashwini Dongre   +3 more
openaire   +2 more sources

The Influence of Digital Transformation and Supply Chain Integration on Overall Sustainable Supply Chain Performance: An Empirical Analysis from Manufacturing Companies in Morocco

open access: yesEnergies, 2023
This study examined the association between digital transformation (DT), supply chain integration (SCI), and overall sustainable supply chain performance (OSSCP).
Imadeddine Oubrahim   +2 more
doaj   +1 more source

Internet of Things-Based Smart and Connected Supply Chain: A Review

open access: yesInternational Journal of Antennas and Propagation, 2022
In the era of the Internet of Things (IoT) and the Industrial Internet of Things (IIoT), elements along the supply chain can be connected to one another to offer tracking capabilities.
Musaddak Maher Abdul Zahra   +3 more
doaj   +1 more source

Research advances in industrial engineering

open access: yes, 2015
This book provides discussions and the exchange of information on principles, strategies, models, techniques, methodologies and applications of industrial engineering.
Davim, J
core   +1 more source

An Integrated Deep Learning and Multi-Objective Pareto Optimization Framework for Retail Supply Chains

open access: yesIEEE Access
Modern supply chain environments are characterized by stochastic demand volatility and multifaceted operational interdependencies that render traditional single-objective optimization models inadequate.
Mohammed Zizi   +2 more
doaj   +1 more source

Application of quality engineering techniques in the main domains of industrial engineering

open access: yesJournal of Achievements in Materials and Manufacturing Engineering, 2018
Purpose: of this paper is to cover the main domains of industrial engineering based on the statistical and non-statistical techniques related to quality engineering. In this research, in addition to the review of the main domains of industrial engineering and the required specifications of technique, have been tried to ...
M.H. Karimi Gavareshki   +3 more
openaire   +1 more source

A hybrid learning framework for forecasting uncertainty and adaptive inventory planning in retail supply chains

open access: yesSupply Chain Analytics
Demand forecasting and quantification of uncertainty is an essential asset of the retail supply chain optimization and risk-based inventory decisions. This study will introduce a new hybrid conditional variance model (combining gradient boosting machines
Zizi Mohammed   +2 more
doaj   +1 more source

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