Deep reinforcement learning for selecting demand forecast models to empower Industry 3.5 and an empirical study for a semiconductor component distributor

A UNISON framework for knowledge management of university–industry collaboration and an illustration

(2019) Yi-Fen Hu et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Optimization of combined time series methods to forecast the demand for coffee in Brazil: A new approach using Normal Boundary Intersection coupled with mixture designs of experiments and rotated factor scores

(2019) Livio Agnew Bacci et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition

(2019) Ümit Çavuş Büyükşahin et al.   NEUROCOMPUTING

UNISON data-driven intermittent demand forecast framework to empower supply chain resilience and an empirical study in electronics distribution

(2019) Wenhan Fu et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Demand forecasting and financial estimation considering the interactive dynamics of semiconductor supply-chain companies

(2019) Chih-Hsuan Wang et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Supply chain coordination under information asymmetry: a review

(2019) Mohammadali Vosooghidizaji et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Optimal Forecast Combination Based on Neural Networks for Time Series Forecasting

(2018) Lin Wang et al.   APPLIED SOFT COMPUTING

Strategic capacity planning for smart production: Decision modeling under demand uncertainty

(2018) Chen-Fu Chien et al.   APPLIED SOFT COMPUTING

Multi-objective demand fulfillment problem for solar cell industry

(2018) Jia-Nian Zheng et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A support vector machine for model selection in demand forecasting applications

(2018) Marco A. Villegas et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A new method to forecast intermittent demand in the presence of inventory obsolescence

(2018) M.Z. Babai et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Another look at forecast selection and combination: Evidence from forecast pooling

(2018) Nikolaos Kourentzes et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

An empirical study of demand forecasting of non-volatile memory for smart production of semiconductor manufacturing

(2018) Ying-Jen Chen et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

A survey of semiconductor supply chain models Part II: demand planning, inventory management, and capacity planning

(2018) Reha Uzsoy et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Rolling horizon, multi-product production planning with chance constraints and forecast evolution for wafer fabs

(2018) Timm Ziarnetzky et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

On-line Building Energy Optimization using Deep Reinforcement Learning

(2018) Elena Mocanu et al.   IEEE Transactions on Smart Grid

Deep Reinforcement Learning: A Brief Survey

(2017) Kai Arulkumaran et al.   IEEE SIGNAL PROCESSING MAGAZINE

A survey of semiconductor supply chain models part I: semiconductor supply chains, strategic network design, and supply chain simulation

(2017) Lars Mönch et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Molecular de-novo design through deep reinforcement learning

(2017) Marcus Olivecrona et al.   Journal of Cheminformatics

Aggregate demand forecast with small data and robust capacity decision in TFT-LCD manufacturing

(2016) Chia-Yen Lee et al.   COMPUTERS & INDUSTRIAL ENGINEERING

UNISON framework of data-driven innovation for extracting user experience of product design of wearable devices

(2016) Kuo-Yi Lin et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Supply chain forecasting: Theory, practice, their gap and the future

(2016) Aris A. Syntetos et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A Novel Route Selection and Resource Allocation Approach to Improve the Efficiency of Manual Material Handling System in 200-mm Wafer Fabs for Industry 3.5

(2016) Chen-Fu Chien et al.   IEEE Transactions on Automation Science and Engineering

Distributions of forecasting errors of forecast combinations: Implications for inventory management

(2016) Devon K. Barrow et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Ensemble of various neural networks for prediction of heating energy consumption

(2015) Radiša Ž. Jovanović et al.   ENERGY AND BUILDINGS

Multistage production distribution under uncertain demands with integrated discrete particle swarm optimization and extended priority-based hybrid genetic algorithm

(2015) Thitipong Jamrus et al.   Fuzzy Optimization and Decision Making

Analysing semiconductor manufacturing big data for root cause detection of excursion for yield enhancement

(2015) Chen-Fu Chien et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

A neural network based linear ensemble framework for time series forecasting

(2015) Ratnadip Adhikari   NEUROCOMPUTING

‘Horses for Courses’ in demand forecasting

(2014) Fotios Petropoulos et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Application of reinforcement learning to routing in distributed wireless networks: a review

(2013) Hasan A. A. Al-Rawi et al.   ARTIFICIAL INTELLIGENCE REVIEW

Efficient development of cycle time response surfaces using progressive simulation metamodeling

(2013) Liam Y. Hsieh et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Forecasting model selection through out-of-sample rolling horizon weighted errors

(2011) Raul Poler et al.   EXPERT SYSTEMS WITH APPLICATIONS

Coordinated capacity migration and expansion planning for semiconductor manufacturing under demand uncertainties

(2011) Chen-Fu Chien et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Mini–max regret strategy for robust capacity expansion decisions in semiconductor manufacturing

(2011) Chen-Fu Chien et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

(2011) Joaquín Derrac et al.   Swarm and Evolutionary Computation

A hybrid fuzzy and neural approach for forecasting the book-to-bill ratio in the semiconductor manufacturing industry

(2010) Toly Chen et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Manufacturing intelligence for semiconductor demand forecast based on technology diffusion and product life cycle

(2010) Chen-Fu Chien et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

UNISON analysis to model and reduce step-and-scan overlay errors for semiconductor manufacturing

(2009) Chen-Fu Chien et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Weighted least-square estimation of demand product mix and its applications to semiconductor demand

(2008) Argon Chen et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series

(2008) Xiaozhe Wang et al.   NEUROCOMPUTING

Application of machine learning techniques for supply chain demand forecasting

(2007) Real Carbonneau et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH