Production planning and control in multi-stage assembly systems: an assessment of Kanban, MRP, OPT (DBR) and DDMRP by simulation
M Thürer, NO Fernandes… - International Journal of …, 2022 - Taylor & Francis
Multi-stage assembly systems where the demand for components depends on the market-
driven demand for end products, are commonly encountered in practice. Production …
driven demand for end products, are commonly encountered in practice. Production …
Throughput bottleneck detection in manufacturing: a systematic review of the literature on methods and operationalization modes
Throughput is an important parameter to evaluate production system performance. It is
typically constrained by one or more resources referred to as 'throughput bottlenecks'. To …
typically constrained by one or more resources referred to as 'throughput bottlenecks'. To …
[HTML][HTML] A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines
Smart manufacturing is reshaping the manufacturing industry by boosting the integration of
information and communication technologies and manufacturing process. As a result …
information and communication technologies and manufacturing process. As a result …
[HTML][HTML] A comprehensive review of theories, methods, and techniques for bottleneck identification and management in manufacturing systems
J Tang, Z Dai, W Jiang, X Wu, MA Zhuravkov, Z Xue… - Applied Sciences, 2024 - mdpi.com
With the advancement in global market integration, manufacturing enterprises face
increasingly fierce competition, making the development of intelligent manufacturing …
increasingly fierce competition, making the development of intelligent manufacturing …
Data-driven dynamic bottleneck detection in complex manufacturing systems
Production (throughput) bottlenecks are the critical stations defining and constraining the
overall productivity of a system. Effective and timely identification of bottlenecks provide …
overall productivity of a system. Effective and timely identification of bottlenecks provide …
Implementation of production process standardization—A case study of a publishing company from the SMEs Sector
A Realyvásquez-Vargas, FJ Flor-Moltalvo… - Processes, 2019 - mdpi.com
Featured Application Work standardization supported by other basic industrial engineering
methods, such as the study of time and motions can be applied in the manufacturing industry …
methods, such as the study of time and motions can be applied in the manufacturing industry …
Work standardization and anthropometric workstation design as an integrated approach to sustainable workplaces in the manufacturing industry
A Realyvásquez-Vargas, KC Arredondo-Soto… - Sustainability, 2020 - mdpi.com
Poor workstation designs represent a risk factor for operators in assembly production lines.
Anthropometric design of workstations facilitates the sustainable development of the …
Anthropometric design of workstations facilitates the sustainable development of the …
Enhance of OEE by hybrid analysis at the automotive semi-automatic assembly lines
Nowadays, industrial companies are constantly improving their processes and increasing
their efficiency in order to achieve higher profits. One of the most common measures of …
their efficiency in order to achieve higher profits. One of the most common measures of …
Reliable shop floor bottleneck detection for flow lines through process and inventory observations: the bottleneck walk
C Roser, K Lorentzen, J Deuse - Logistics Research, 2015 - Springer
Bottleneck detection in manufacturing is the key to improving production efficiency and
stability in order to improve capacity. Yet, common bottleneck detection methods in industry …
stability in order to improve capacity. Yet, common bottleneck detection methods in industry …
Predicting future production system bottlenecks with a graph neural network approach
Predicting throughput bottlenecks has received an increasing research attention in the
recent years. Several statistical and machine learning models have been developed, with …
recent years. Several statistical and machine learning models have been developed, with …