EventiC: A real-time unbiased event-based learning technique for complex systems

M Danishvar, A Mousavi… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
An improved method for the real time sensitivity analysis in large scale complex systems is
proposed in this paper. The method borrows principles from the event tracking of interrelated …

Productivity as measure of multiproduct metal processing production efficiency

AI Kondakov - Procedia Engineering, 2016 - Elsevier
Modern metal processing machine building production is multiproduct. Manufacturing
resources of the enterprises are usually limited and their cost constantly grows. It is essential …

Rancangan ulang tata letak fasilitas produksi dalam upaya peningkatan utilitas pada PT. Mekar Karya Mas

H Tarigan - Jurnal Ilmiah Teknik Industri Prima (JURITI PRIMA …, 2017 - jurnal.unprimdn.ac.id
Pemindahan bahan adalah salah satu aktivitas yang sangat penting dalam kegiatan proses
produksi dan memiliki kaitan erat dengan perancangan tata letak fasilitas produksi. PT …

A Real-time Event-Based Learning Approach for Input-Output Sensitivity Analysis

X She, H Geng, X Gou, K Chen - 2024 3rd Conference on Fully …, 2024 - ieeexplore.ieee.org
This paper introduces a real-time event-based learning approach for input-output sensitivity
analysis. Based on the rank order clustering method, this proposed approach is capable of …

EventClustering for improved real time input variable selection and data modelling

M Danishvar, A Mousavi… - 2014 IEEE Conference on …, 2014 - ieeexplore.ieee.org
This paper proposes a unique and novel approach for real time input variable selection
(IVS) sensitivity analysis (SA) applicable to large scale complex systems. Borrowed from the …

Event-clustering for real-time data modeling

M Danishvar, A Mousavi, P Sousa… - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
This paper proposes EventCluster, a novel approach in real-time data modeling. It deploys
the Rank Order Clustering (ROC) method to automatically group all existing data sensors …

[图书][B] Production Planning and Scheduling for Lot Processing

L Burtseva, F Werner, R Romero, CL Garcia-Mata… - 2022 - books.google.com
This book is dedicated to questions of production planning and scheduling activities both in
general and in semiconductor manufacturing environments, which have the characteristics …

Application of Data Driven techniques to Predict N2O Emission in Full-scale WWTPs

M Danishvar, V Vasilaki, Z Huang… - 2018 IEEE 16th …, 2018 - ieeexplore.ieee.org
A number of data analytics techniques are deployed to measure the influence of various
waste water treatment operational parameters against the nitrous oxide (N_2 O) emission. N …

A Proposed Hybrid Clustering Approach for Cell Formation of Gear Box Manufacturing

AS Shivade, SU Sapkal - International Conference on Production and …, 2023 - Springer
Cellular manufacturing has shown to be an effective approach for enhancing productivity in
recent years. The benefits of cellular manufacturing depend on design of machine cells, part …

Study of Rank Order Clustering (ROC) Technique for cell formation in Cellular Manufacturing System

P Bhuyan - International Journal of Production …, 2017 - mechanical.journalspub.info
Group technology (GT) and its principles have widely been in application. A concept of GT is
also used in Cellular Manufacturing System (CMS) where after a group of parts and …