Andrew Kusiak

ORCID: 0000-0003-4393-1385
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About
Contact & Profiles
Research Areas
  • Manufacturing Process and Optimization
  • Scheduling and Optimization Algorithms
  • Product Development and Customization
  • Advanced Manufacturing and Logistics Optimization
  • Flexible and Reconfigurable Manufacturing Systems
  • Energy Load and Power Forecasting
  • Machine Fault Diagnosis Techniques
  • Design Education and Practice
  • Assembly Line Balancing Optimization
  • Optimization and Packing Problems
  • Digital Transformation in Industry
  • Fault Detection and Control Systems
  • Wind Energy Research and Development
  • Rough Sets and Fuzzy Logic
  • Building Energy and Comfort Optimization
  • Advanced Multi-Objective Optimization Algorithms
  • Data Mining Algorithms and Applications
  • Smart Grid Energy Management
  • Business Process Modeling and Analysis
  • Advanced Control Systems Optimization
  • Metaheuristic Optimization Algorithms Research
  • AI-based Problem Solving and Planning
  • Wind Turbine Control Systems
  • Industrial Vision Systems and Defect Detection
  • Neural Networks and Applications

University of Iowa
2015-2024

Engineering Arts (United States)
2009-2022

Nanjing University
2021-2022

Conference Board
2022

Tianjin University
2022

Northumbria University
2022

Taibah University
2022

University of Messina
2022

Université de Haute-Alsace
2022

University of Teramo
2022

10.1016/j.jmsy.2018.01.006 article EN Journal of Manufacturing Systems 2018-01-17

Manufacturing has evolved and become more automated, computerised complex. In this paper, the origin, current status future developments in manufacturing are disused. Smart is an emerging form of production integrating assets today tomorrow with sensors, computing platforms, communication technology, control, simulation, data intensive modelling predictive engineering. It utilises concepts cyber-physical systems spearheaded by internet things, cloud computing, service-oriented artificial...

10.1080/00207543.2017.1351644 article EN International Journal of Production Research 2017-07-14

10.1016/0377-2217(87)90238-4 article EN European Journal of Operational Research 1987-06-01

In this paper two classes of clustering models are considered: (1) matrix, and (2) integer programming. The relationship between the matrix model, p-median model classical group technology concept is discussed. A generalized concept, based on generation for one part a number different process plans, proposed. This new improves quality (part) families machine cells. corresponding programming formulated. discussed illustrated with numerical examples.

10.1080/00207548708919861 article EN International Journal of Production Research 1987-04-01

10.1016/0377-2217(89)90131-8 article EN European Journal of Operational Research 1989-01-01

10.1016/j.renene.2010.05.014 article EN Renewable Energy 2010-06-10

10.1016/0278-6125(87)90035-5 article EN Journal of Manufacturing Systems 1987-01-01

This paper examines time series models for predicting the power of a wind farm at different scales, i.e., 10-min and hour-long intervals. The are built with data mining algorithms. Five algorithms have been tested on various datasets. Two five performed particularly well. support vector machine regression algorithm provides accurate predictions speed intervals up to 1 h into future, while multilayer perceptron is in over 4 ahead. Wind can be predicted fairly accurately based its historical...

10.1109/tec.2008.2006552 article EN IEEE Transactions on Energy Conversion 2009-01-16

Data have been utilised in production research meaningful ways for decades. Recent years offered data larger volumes and improved quality collected from diverse sources. The state-of-the-art the emerging methodologies are discussed. review of literature suggests that enabled by has shifted based on analytical models to data-driven. Manufacturing envelopment analysis most popular application areas data-driven methodologies. published date indicates mining is becoming a dominant methodology...

10.1080/00207543.2018.1443230 article EN International Journal of Production Research 2018-03-01

10.1016/j.arcontrol.2019.02.001 article EN Annual Reviews in Control 2019-01-01

Modularity refers to the use of common units create product variants. This paper aims at development models and solution approaches modularity problem for mechanical, electrical, mixed process products (e.g., electromechanical products). To interpret various types modularity, e.g., component-swapping, component-sharing bus a matrix representation is presented. The decomposition approach used determine modules different products. presented are illustrated with numerous examples. presents...

10.1109/3468.650323 article EN IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans 1998-01-01

This paper analyzes the machine layout problem in flexible manufacturing systems (FMS's). We show that quadratic assignment formulation cannot be used to model problem. Four basic types of layouts are frequently encountered FMS's presented. A measure determine relationship between machines is introduced. Since automated guided vehicles commonly transport material machines, their motion characteristic discussed. Two new construction algorithms presented solve FMS's. They generate solutions...

10.1287/opre.36.2.258 article EN Operations Research 1988-04-01

10.1016/0278-6125(94)90030-2 article EN Journal of Manufacturing Systems 1994-01-01

10.1016/0377-2217(91)90088-d article EN European Journal of Operational Research 1991-07-01

10.1016/0377-2217(86)90032-9 article EN European Journal of Operational Research 1986-03-01

10.1016/j.renene.2008.10.022 article EN Renewable Energy 2008-12-07

10.1016/j.renene.2008.05.032 article EN Renewable Energy 2008-07-10
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