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A systematic review of mathematical programming models and solution approaches for the textile supply chain
The textile industry is a complex and dynamic system where structured decision-making
processes are essential for efficient supply chain management. In this context, mathematical …
processes are essential for efficient supply chain management. In this context, mathematical …
[HTML][HTML] A conceptual framework for the operations planning of the textile supply chains: Insights for sustainable and smart planning in uncertain and dynamic contexts
Recent practices in textile supply chains (SC) show a growing concern for sustainability not
only in its economic dimension, but fundamentally in its environmental and social ones. One …
only in its economic dimension, but fundamentally in its environmental and social ones. One …
Online merchant resource allocation and matching for open community collaborative manufacturing (OCCM) in mass personalization model
In order to meet the requirements of customers' pursuit of personalized and diversified
needs, enterprises need to change from the traditional mass manufacturing model to mass …
needs, enterprises need to change from the traditional mass manufacturing model to mass …
A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics
In this paper, we propose an Intelligent Decision Support System (IDSS) for the design of
new textile fabrics. The IDSS uses predictive analytics to estimate fabric properties (eg …
new textile fabrics. The IDSS uses predictive analytics to estimate fabric properties (eg …
[HTML][HTML] An interactive personalized garment design recommendation system using intelligent techniques
This paper presents a garment design recommendation system based on two mathematical
models that permit the prediction and control of garment styles and structural parameters …
models that permit the prediction and control of garment styles and structural parameters …
Prediction of garment fit level in 3D virtual environment based on artificial neural networks
This paper proposes a probabilistic neural network-based model for predicting and
controlling garment fit levels from garment ease allowances, digital pressures, and fabric …
controlling garment fit levels from garment ease allowances, digital pressures, and fabric …
A developed optimization model for mass production scheduling considering the role of waste materials
Planning, scheduling and delivery of shipments in workshops and factories active in the field
of custom manufacturing industries are two important arms in the decision-making process …
of custom manufacturing industries are two important arms in the decision-making process …
A smart system of Customer-product Interaction Life Cycle (CILC) in industrial Internet era for mass personalization from industrial practice survey: identification …
In the Internet era, the industrial Internet platform has become a bridge between customers
and enterprises. In addition, with the continuous improvement of customers' living standards …
and enterprises. In addition, with the continuous improvement of customers' living standards …
Machine learning-based marker length estimation for garment mass customization
The quick development of mass customization in the apparel industry leads to an
exponential increase of garment size combinations for markers, which induces a heavy and …
exponential increase of garment size combinations for markers, which induces a heavy and …
Optimal Cut Order Planning Solutions using Heuristic and Meta-Heuristic Algorithms: A Systematic Literature Review
Cut order planning is a significant task in the apparel industry which determines the fabric
spreading layout that can affect different aspects of the apparel industry including the cost of …
spreading layout that can affect different aspects of the apparel industry including the cost of …