Improving operations through a lean AI paradigm: A view to an AI-aided lean manufacturing via versatile convolutional neural network

M Shahin, M Maghanaki, A Hosseinzadeh… - The International Journal …, 2024‏ - Springer
Abstract Integrating Lean Manufacturing tools with artificial intelligence (AI) is emerging as a
revolutionary approach to optimize production processes, reduce waste, and enhance …

Heijunka-levelling customer orders: a systematic literature review

M Boutbagha, L El Abbadi - International Journal of Production …, 2024‏ - polipapers.upv.es
Heijunka is the central concept of the Toyota Production System which aims to maintain both
flexibility and stability of the production system by producing the same quantity of products …

A relational analysis of drivers and barriers of lean manufacturing

BS Patel, M Sambasivan, R Panimalar… - The TQM Journal, 2021‏ - emerald.com
Purpose The purpose of this study is to categorize and analyse the drivers and barriers of
Lean Manufacturing (LM) and subsequently, based on the structural model develop a house …

Toyota's production efficiency improvement management: best practice for productivity evaluation and operation improvement

ND Minh - Journal of Advances in Management Research, 2023‏ - emerald.com
Purpose The purpose of this study is to introduce an enterprise's productivity management
named “Production efficiency improvement-PEFF”. This study shows the way of develo** …

Application of lean manufacturing techniques to increase on-time deliveries: case study of a metalworking company with a make-to-order environment in Peru

K Kishimoto, G Medina, F Sotelo… - Human Interaction and …, 2020‏ - Springer
The purpose of this paper is to provide a proposal of a production management model using
lean manufacturing techniques to improve on-time deliveries of a metal-mechanic company …

Multi-objective optimization of sustainable red prickly pear (Opuntia streptacantha) peel drying and biocompounds extraction using a hybrid stochastic algorithm

JA Gómez-Salazar, J Patlán-González… - Food and Bioproducts …, 2022‏ - Elsevier
Prickly pear (Opuntia streptacantha) peel is a potential source of biocompounds, such as
flavonoids, anthocyanins, betacyanins, and betalains. To obtain its biocompounds, two …

A heijunka study for the production of standard parts included in a customized finished product

P Rewers, J Diakun - Plos one, 2021‏ - journals.plos.org
Efficient order execution plays a crucial role in the activity of every company. In production
planning it is important to find a balance between the fluctuations of orders and stability of …

An efficient hybrid multi-criteria optimization approach for rolling production smoothing of a European food manufacturer

F Kamhuber, T Sobottka, B Heinzl, J Henjes… - Computers & Industrial …, 2020‏ - Elsevier
This paper introduces an innovative method for multi-objective optimization-based
production planning with a rolling horizon for food manufacturing. It features a combination …

A Heijunka study for automotive assembly using discrete-event simulation: a case study

IA Renteria-Marquez, CN Almeraz… - 2020 Winter …, 2020‏ - ieeexplore.ieee.org
The automotive manufacturing industry is constantly challenged with an unpredictable
costumer demand with considerable fluctuation. In addition, the number of products and the …

[PDF][PDF] Value Stream Map** with Simulation to Optimize Stock Levels: Case Study.

YE MIDILLI, B Elevli - Jordan Journal of Mechanical & Industrial …, 2020‏ - jjmie.hu.edu.jo
Value stream map** (VSM) is a simple tool used to identify the waste present within the
processes by map** the current state. The future state is suggested to eliminate the waste …