Big data-driven supply chain performance measurement system: a review and framework for implementation
SS Kamble, A Gunasekaran - International journal of production …, 2020 - Taylor & Francis
Performance measures and metrics (PMM) is identified to be an essential aspect of
managing diverse supply chains. The PMM improves the firm's performance by providing …
managing diverse supply chains. The PMM improves the firm's performance by providing …
From data to big data in production research: the past and future trends
Data have been utilised in production research in meaningful ways for decades. Recent
years have offered data in larger volumes and improved quality collected from diverse …
years have offered data in larger volumes and improved quality collected from diverse …
[HTML][HTML] A digital twin based framework for detection, diagnosis, and improvement of throughput bottlenecks
Digitalization through Industry 4.0 technologies is one of the essential steps for the complete
collaboration, communication, and integration of heterogeneous resources in a …
collaboration, communication, and integration of heterogeneous resources in a …
A data-driven prediction approach for sports team performance and its application to National Basketball Association
Performance prediction is an issue of vital importance in many real managerial applications.
This paper will propose a prediction approach for sports team performance based on data …
This paper will propose a prediction approach for sports team performance based on data …
A classification and review of timed Markov models of manufacturing systems
Many problems in manufacturing systems can be formulated via Markov stochastic
modeling. This paper gives a review and classification of timed models of manufacturing …
modeling. This paper gives a review and classification of timed models of 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 …
Bottleneck detection in modular construction factories using computer vision
The construction industry is increasingly adopting off-site and modular construction methods
due to the advantages offered in terms of safety, quality, and productivity for construction …
due to the advantages offered in terms of safety, quality, and productivity for construction …
Theory of AI-driven scheduling (TAIS): a service-oriented scheduling framework by integrating theory of constraints and AI
This paper introduces the Theory of AI-driven scheduling (TAIS), an innovative framework
designed to revolutionise service-oriented scheduling (In the context of this paper,'service …
designed to revolutionise service-oriented scheduling (In the context of this paper,'service …
A Parallel Gated Recurrent Units (P-GRUs) network for the shifting lateness bottleneck prediction in make-to-order production system
W Fang, Y Guo, W Liao, S Huang, N Yang… - Computers & Industrial …, 2020 - Elsevier
In the make-to-order production system, the lateness bottleneck is the constraint of just-in-
time management and orders on-time delivery. Since the dynamic nature of the …
time management and orders on-time delivery. Since the dynamic nature of the …
Methodology for bottleneck identification in a production system when implementing TOC
ABSTRACT For TOC (Theory of Constraints) implementation in a production system, the
determination of the system's bottleneck is a crucial step. Effective bottleneck identification …
determination of the system's bottleneck is a crucial step. Effective bottleneck identification …