All Stories

  1. Multi-objective evolutionary simulated annealing optimisation for mixed-model multi-robotic disassembly line balancing with interval processing time
  2. Human-robot collaboration in disassembly for sustainable manufacturing
  3. Bees algorithm enhanced with Nelder and Mead method for numerical function optimisation
  4. The role of wind energy production in addressing the European renewable energy targets: The case of Spain
  5. An improved multi-objective discrete bees algorithm for robotic disassembly line balancing problem in remanufacturing
  6. Introduction
  7. Multi-source vision perception for human-robot collaboration in manufacturing
  8. Energy-efficient concurrent assessment of industrial robot operation based on association rules in manufacturing
  9. Robotic disassembly sequence planning using enhanced discrete bees algorithm in remanufacturing
  10. Prediction of springback in multi-point forming
  11. Hybrid Genetic Bees Algorithm applied to single machine scheduling with earliness and tardiness penalties
  12. Identification of patterns in control charts for processes with statistically correlated noise
  13. Dynamic and unified modelling of sustainable manufacturing capability for industrial robots in cloud manufacturing
  14. Dynamic Manufacturing Capability Assessment of Industrial Robots Based on Feedback Information in Cloud Manufacturing
  15. Hypergraph-Based Modeling of Manufacturing Services in Cloud Manufacturing
  16. A new mixed production cost allocation model for additive manufacturing (MiProCAMAM)
  17. Optimisation of multi-point forming process parameters
  18. Combining feed-in tariffs and net-metering schemes to balance development in adoption of photovoltaic energy: Comparative economic assessment and policy implications for European countries
  19. Cost models of additive manufacturing: A literature review
  20. Dynamic Modeling of Manufacturing Capability for Robotic Disassembly in Remanufacturing
  21. Manufacturing Capability Assessment for Human-Robot Collaborative Disassembly Based on Multi-Data Fusion
  22. Energy Condition Perception and Big Data Analysis for Industrial Cloud Robotics
  23. A Practical Energy Modeling Method for Industrial Robots in Manufacturing
  24. External Force Detection for Physical Human-Robot Interaction Using Dynamic Model Identification
  25. Manufacturing Service Reconfiguration Optimization Using Hybrid Bees Algorithm in Cloud Manufacturing
  26. Modeling of Digital Twin Workshop Based on Perception Data
  27. Perception data-driven optimization of manufacturing equipment service scheduling in sustainable manufacturing
  28. Strain Modal Analysis of Small and Light Pipes Using Distributed Fibre Bragg Grating Sensors
  29. Material microstructure effects in micro-endmilling of Cu99.9E
  30. Sustainable self-healing at ultra-low temperatures in structural composites incorporating hollow vessels and heating elements
  31. Industrial Cloud Robotics Towards Sustainable Manufacturing
  32. Designing robust feedback linearisation controllers using imperfect dynamic models and sensor feedback
  33. Estimation and generation of training patterns for control chart pattern recognition
  34. Bees algorithm for effective supply chains configuration
  35. Celebrating 100 articles published in Cogent Engineering
  36. Identification and optimal selection of temperature-sensitive measuring points of thermal error compensation on a heavy-duty machine tool
  37. A comparative study of the Bees Algorithm as a tool for function optimisation
  38. Real-time measurement of temperature field in heavy-duty machine tools using fiber Bragg grating sensors and analysis of thermal shift errors
  39. An improved discrete bees algorithm for correlation-aware service aggregation optimization in cloud manufacturing
  40. Self-healing composites: A review
  41. Dynamic Modeling of Manufacturing Equipment Capability Using Condition Information in Cloud Manufacturing
  42. Knowledge modeling of fault diagnosis for rotating machinery based on ontology
  43. Servitisation of fault diagnosis for mechanical equipment in cloud manufacturing
  44. A Forager Adjustment Strategy Used by the Bees Algorithm for Solving Optimization Problems in Cloud Manufacturing
  45. Bees Algorithm for multimodal function optimisation
  46. Fit manufacturing: Production Waste Index and its effect on Production Profitability
  47. A Multi-Parameter Model for Effective Configuration of Supply Chains
  48. An enhancement to the Bees Algorithm with slope angle computation and Hill Climbing Algorithm and its applications on scheduling and continuous-type optimisation problem
  49. Influence of Molecular Weight Average, Degree of Crystallinity, and Viscosity of Different Polyamide PA12 Powder Grades on the Microstructures of Laser Sintered Part
  50. A Multiuser Manufacturing Resource Service Composition Method Based on the Bees Algorithm
  51. Creating resilient and sustainable manufacturing businesses – a conceptual fitness model
  52. A multi-objective supply chain optimisation using enhanced Bees Algorithm with adaptive neighbourhood search and site abandonment strategy
  53. Novel Genetic Bees Algorithm applied to single machine scheduling problem
  54. Combination of Adaptive Enlargement and Reduction in the Search Neighbourhood in the Bees Algorithm
  55. Investigation of the Thermal Properties of Different Grades Polyamide 12 (PA12) in Improving Laser Sintering Process (SLS)
  56. Nature-Inspired Intelligent Optimisation Using the Bees Algorithm
  57. Pre-processing studies for selective laser sintering of glass beads-filled polyamide 12 composites
  58. Editorial
  59. Honey Bees Inspired Optimization Method: The Bees Algorithm
  60. Encapsulation of Au Nanoparticles on a Silicon Wafer During Thermal Oxidation
  61. Benchmarking and comparison of nature-inspired population-based continuous optimisation algorithms
  62. Combining the Bees Algorithm and shape grammar to generate branded product concepts
  63. Continuous acoustic source tracking for tangible acoustic interfaces
  64. Simulations of PCB Assembly Optimisation Based on the Bees Algorithm with TRIZ-Inspired Operators
  65. Optimisation of Micro Injection Moulding Process through Design of Experiments
  66. Towards robust personal assistant robots: Experience gained in the SRS project
  67. Dynamic optimisation by a modified bees algorithm
  68. TRIZ-inspired Asymmetrical Search Neighborhood in the Bees Algorithm
  69. Statistical approach to normalization of feature vectors and clustering of mixed datasets
  70. Quality of service in manufacturing networks: a service framework and its implementation
  71. Fit manufacturing: a framework for sustainability
  72. Binary Bees Algorithm – bioinspiration from the foraging mechanism of honeybees to optimize a multiobjective multidimensional assignment problem
  73. A modified bees algorithm and a statistics-based method for tuning its parameters
  74. Improving Multistage Plastic Deformation Processes by Means of a Sustainable Manufacturing System
  75. Hybrid congestion control for high-speed networks
  76. Design of agent‐based supply chain‐oriented virtual enterprise platform
  77. An Integrated Manufacturing System with Reconfigurable Multi-Point Forming Technology for Fabrication of Complex Cladding and Facades
  78. Random search with k-prototypes algorithm for clustering mixed datasets
  79. NBSOM: The naive Bayes self-organizing map
  80. Adaptive Bees Algorithm--Bioinspiration from Honeybee Foraging to Optimize Fuel Economy of a Semi-Track Air-Cushion Vehicle
  81. A framework for fit manufacturing
  82. Unreliable transport protocol using congestion control for high-speed networks
  83. Influence of Thermal Treatment on Nanostructured Gold Model Catalysts †
  84. PCB assembly optimisation using the Bees Algorithm enhanced with TRIZ operators
  85. Simultaneous localization and mapping: swarm robot mutual localization and sonar arc bidirectional carving mapping
  86. Using the Bees Algorithm with Kalman Filtering to Train an Artificial Neural Network for Pattern Classification
  87. Adaptive Selection Routine for Evolutionary Algorithms
  88. Automated optical inspection method for MEMS fabrication
  89. Design of a two-dimensional recursive filter using the bees algorithm
  90. Autonomous Swing-Up Control of a Three-Link Robot Gymnast
  91. Using audio to support animated route information in a hospital touch-screen kiosk
  92. Bio-Inspired Binary Bees Algorithm for a Two-Level Distribution Optimisation Problem
  93. Using grid computing to accelerate optimization solution: A system of systems approach
  94. Effects of the Nanostructuring of Gold Films upon Their Thermal Stability
  95. Fit Manufacturing
  96. Lean Enterprise Software and Systems
  97. Novel feature selection method using mutual information and fractal dimension
  98. Some recent advances in multi-material micro- and nano-manufacturing
  99. Unsupervised training of Bayesian networks for data clustering
  100. The Bees Algorithm: Modelling foraging behaviour to solve continuous optimization problems
  101. Optimisation of a fuzzy logic controller for a flexible single-link robot arm using the Bees Algorithm
  102. Minimum-time motion planning for a robot arm using the Bees Algorithm
  103. Evolutionary feature selection for artificial neural network pattern classifiers
  104. Enhancing the speed of the Bees Algorithm using pheromone-based recruitment
  105. A new computer interface based on in-solid acoustic source localization
  106. QoS modeling and analysis for manufacturing networks: A service framework
  107. New tool-workpiece setting up technology for micro-milling
  108. Editorial
  109. An object-oriented framework for virtual intelligent product manuals
  110. Optimisation of a fuzzy logic controller using the Bees Algorithm
  111. An I-Ching-TRIZ-Inspired Approach to Design Concept Generation
  112. Applying TRIZ to Support Designers in a Descriptive Design Framework
  113. Ultrasonic distance scanning techniques for mobile robots
  114. Optimal design of mechanical components using the Bees Algorithm
  115. Building Bayesian network classifiers through a Bayesian complexity monitoring system
  116. Deterioration of polyamide powder properties in the laser sintering process
  117. Guest Editorial
  118. Research on the grey relational evaluation method of core competencies of virtual enterprise members
  119. Modeling of RBAC‐based access control of virtual enterprise
  120. Control chart pattern clustering using a new self-organizing spiking neural network
  121. Integrated production machines and systems – beyond lean manufacturing
  122. A new minimum description length based pruning technique for rule induction algorithms
  123. Learning the inverse kinematics of a robot manipulator using the Bees Algorithm
  124. Dynamic Optimisation of Chemical Engineering Processes Using the Bees Algorithm
  125. Laser milling: Pulse duration effects on surface integrity
  126. Techniques for improving surface quality after laser milling
  127. Automated configuration of gripper systems for assembly tasks
  128. Clustering techniques and their applications in engineering
  129. An optical system for monitoring the movement of a micro multipede
  130. A self-organising spiking neural network trained using delay adaptation
  131. Adaptive and cooperative mobile robots
  132. Laser milling of ceramic components
  133. Depth from automatic defocusing
  134. Computational Intelligence
  135. A study of fused silica micro/nano patterning by focused-ion-beam
  136. A study of micro-electro discharge machining electrode wear
  137. Accuracy issues in rapid manufacturing CastForm™ patterns
  138. Micromilling: Material microstructure effects
  139. Micromilling strategies for machining thin features
  140. RULES-F: A fuzzy inductive learning algorithm
  141. Introduction to the special section on Innovative Production Machines and Systems (I*PROMS)
  142. Fuzzy control of a system for assembling fibre optic transmitters
  143. Evolutionary learning of fuzzy models
  144. A methodology for developing intelligent product manuals
  145. Optimising Neural Networks for Identification of Wood Defects Using the Bees Algorithm
  146. User Choices for Modalities of Instructional Information
  147. An investigation of tube and rod electrode wear in micro EDM drilling
  148. Three New MDL-Based Pruning Techniques for Robust Rule Induction
  149. SRI: A Scalable Rule Induction Algorithm
  150. New Methods for Tool Failure Detection in Micromilling
  151. The Bees Algorithm — A Novel Tool for Complex Optimisation Problems
  152. A Novel Method of Measuring the Similarity of Designs
  153. A Novel Self-Organised Learning Model with Temporal Coding for Spiking Neural Networks
  154. An algorithm based on the immune system for extracting fault classes from instance histories
  155. An I-Ching-TRIZ inspired tool for retrieving conceptual design solutions
  156. Control Chart Pattern Recognition Using Spiking Neural Networks
  157. Engineering applications of clustering techniques
  158. Fuzzy and Neuro-fuzzy Based Co-operative Mobile robots
  159. Incorporating delay and feedback in intelligent manufacturing strategy selection
  160. Localisation of impacts on solid objects using the Wavelet Transform and Maximum Likelihood Estimation
  161. Pattern Matching for Tangible Acoustic Interfaces
  162. Preface
  163. Self-Organising Locally Interpolating Map for the control of mobile microrobots
  164. Statistical approach to numerical databases
  165. Virtual Environment Auditory Feedback Techniques to aid Manual Material Handling Tasks
  166. Rules-6: A Simple Rule Induction Algorithm for Handling Large Data Sets
  167. Online Discretization of Continuous-Valued Attributes in Rule Induction
  168. Machine-learning techniques and their applications in manufacturing
  169. Fighting fit factories: making industry lean, agile and sustainable
  170. Selection of K in K-means clustering
  171. RULES-6: a simple rule induction algorithm for supporting decision making
  172. Characterisation of the morphology of 2-D particle aggregates in different electrolyte concentrations in an ultrasound trap
  173. An Incremental K-means algorithm
  174. Micro-EDM—recent developments and research issues
  175. Fuzzy-logic-based behaviour coordination in a multi-robot system
  176. Product Lifecycle Management for Performance Support
  177. Laser milling as a ‘rapid’ micromanufacturing process
  178. A two-phase K-means algorithm for large datasets
  179. A rule merging technique for handling noise in inductive learning
  180. RULES-5: A rule induction algorithm for classification problems involving continuous attributes
  181. Tool-path generation system for micro-electro discharge machining milling
  182. Case-based generation of adaptive product manuals
  183. A study of recoating in stereolithography
  184. Editorial
  185. Navigation of multiple mobile robots using a neural network and a Petri Net model
  186. Smart Inspection Systems
  187. Research at the MEC
  188. Action aggregation and defuzzification in Mamdani-type fuzzy systems
  189. Use of a pattern recognition algorithm to obtain a parametrization of low-mode and high-mode plasma states
  190. Outline of a new evolutionary algorithm for fuzzy systems learning
  191. Laser milling
  192. Evolutionary fuzzy logic system for intelligent fibre optic components assembly
  193. Special Issue on Intelligent Product Support Systems
  194. Enhanced product support through intelligent product manuals
  195. Rapid tooling applications of the selective laser sintering process
  196. Intelligent control of fibre optic components assembly
  197. A computer aided process planning system for concurrent engineering
  198. Authoring environment for documentation development
  199. Fuzzy control of a three-tank system
  200. Training multilayered perceptrons for pattern recognition: a comparative study of four training algorithms
  201. Unsupervised adaptive resonance theory neural networks for control chart pattern recognition
  202. Neurofuzzy control of a low-temperature desulphurization plant
  203. Knowledge acquisition for intelligent product manuals
  204. Design of a neural internal model control system for a robot
  205. Adaptive Product Manuals
  206. Prediction and reduction of build times for the selective laser sintering process
  207. Intelligent product manuals
  208. Design for stereolithography
  209. Inductive classification of low-mode and high-mode edge parameters
  210. Neural network classification of defects in veneer boards
  211. The RapidTool process: Technical capabilities and applications
  212. Automated visual inspection of wood boards: Selection of features for defect classification by a neural network
  213. Part Orientation in Stereolithography
  214. A concurrent design system for machined parts
  215. Identification of plant inverse dynamics using neural networks
  216. Artificial intelligence in engineering
  217. Synergistic classification systems for wood defect identification
  218. Selective laser sintering: Applications and technological capabilities
  219. Depth from defocusing using a neural network
  220. Training Elman and Jordan networks for system identification using genetic algorithms
  221. Self-tuning fuzzy controller design using genetic optimisation and neural network modelling
  222. Plywood image segmentation using hardware-based image processing functions
  223. Control of the trajectory of a planar robot using recurrent hybrid networks
  224. Design Analysis of Typical Injection Transfer Moulding Faults
  225. Design and Life Performance of Valve Stem Seals
  226. Experimental Study of Properties of Material for Reciprocating Valve Stem Seals
  227. Further Finite Element Analysis of Reciprocating Valve Stem Seals
  228. Metered Leakage Prediction for Reciprocating Valve Stem Seals
  229. Efficient control chart pattern recognition through synergistic and distributed artificial neural networks
  230. Extraction of respiratory and cardiovascular signals from a vibration sensitive mattress
  231. A system for automatic extraction of feature-based assembly information
  232. A comparison of rapid prototyping technologies
  233. A predictor based on adaptive resonance theory
  234. Artificial intelligence based techniques for processing segmented images of wood boards
  235. Techniques for firm tooling using rapid prototyping
  236. Fault classification of fluid power systems using a dynamics feature extraction technique and neural networks
  237. Control chart pattern recognition using a new type of self-organizing neural network
  238. Finite Element Analysis of a Valve Stem Seal
  239. Cross breeding in genetic optimisation and its application to fuzzy logic controller design
  240. An approach to concurrent engineering
  241. Two methods for achieving subpixel resolution in phase difference determination by fringe pattern matching
  242. Feature-based control chart pattern recognition
  243. An efficient algorithm for automatic knowledge acquisition
  244. An artificial neural network based approach to fault diagnosis and classification of fluid power systems
  245. Genetic algorithms with variable mutation rates: Application to fuzzy logic controller design
  246. An algorithm for incremental inductive learning
  247. Processing signals from an inertial sensor using neural networks
  248. Training of Elman networks and dynamic system modelling
  249. Synergistic Neural Models of a Robot Sensor for Part Orientation Detection
  250. Statistical Process Control
  251. Introduction
  252. Intelligent Quality Systems
  253. Integrated Quality Control Systems
  254. Inspection
  255. Experimental Quality Design
  256. Control Chart Pattern Recognition
  257. Condition Monitoring and Fault Diagnosis
  258. Artificial Intelligence Tools
  259. Application of the Taguchi method to the design of a robot sensor
  260. Intelligent visual inspection of valve-stem seals
  261. Hybrid method for systems analysis
  262. Three methods of training multi-layer perceptrons to model a robot sensor
  263. Genetic algorithm using gradient-like reproduction operator
  264. Neural networks for classifying surface defects on automotive valve stem seals
  265. An Integrated Neural Network and Expert System Tool for Statistical Process Control
  266. RULES: A simple rule extraction system
  267. Neural Networks for Identification, Prediction and Control
  268. Modelling and prediction using GMDH networks of Adalines with nonlinear preprocessors
  269. Adaptive control of a robot using neural networks
  270. Self-organizing neural-network-based pattern clustering method with fuzzy outputs
  271. Control chart pattern recognition using learning vector quantization networks
  272. A new technique for determining the location of 3-D objects using a transputer-controlled inertial sensor
  273. Improving the accuracy of a vibratory sensor using Kalman filtering
  274. Model of a Slip Sensor
  275. Identification of linear and nonlinear dynamic systems using recurrent neural networks
  276. An algorithm for automatic rule induction
  277. XPC: an on-line expert system for statistical process control
  278. A knowledge-based system for optimizing workplace layouts using a genetic algorithm
  279. Determination of the initial centre of rotation of a bar being pushed or pulled during handling
  280. Fuzzy Qualitative Model of a Robot Sensor for Locating Three-dimensional Objects
  281. Grippex: A hybrid expert system for selecting robot gripper types
  282. Algorithms for processing data from a photoelastic slip sensor
  283. An expert system for selection of robot grippers
  284. An Intelligent Sensor for Robotics
  285. Tempex: An expert system for temperature control in an injection moulding process
  286. DBGRIP: A learning expert system for detailed selection of robot grippers
  287. A knowledge-based preprocessor generator for coordinate-measuring machines
  288. Strategies for gripper design and selection in robotic assembly
  289. Automatic assembly of ocular fundus images
  290. State-space identification of dynamic systems using neural networks
  291. A transputer-based system for locating parts and controlling an industrial robot
  292. Simulation and optimization of gait for a bipedal robot
  293. Motion of a rectangular bar under traction on a horizontal plane
  294. Finite element study of a workpiece in a machining fixture
  295. Dynamic modelling of a robot sensor
  296. Autofix—an expert CAD system for jigs and fixtures
  297. A knowledge-based jig-and-fixture designers' assistant
  298. Expert systems in mechanical and manufacturing engineering
  299. Guest editorial: Robotics and AI
  300. Image compression using polylines
  301. A knowledge-based system for robot gripper selection: Implementation details
  302. A knowledge-based system for robot gripper selection: criteria for choosing grippers and surfaces for gripping
  303. Quasi-parallel grippers for the concentric handling of cylindrical workpieces
  304. On machine perception of the relative position of two objects using bilateral tactile sensing systems
  305. The Bees Algorithm as a Biologically Inspired Optimisation Method
  306. The Bees Algorithm and Its Applications
  307. Reverse Engineering–Hardware and Software
  308. Micro EDM Drilling: Accuracy Study
  309. Making industry fit: the conceptualization of a generic 'fit' manufacturing strategy for industry
  310. Integrating eu advanced manufacturing research
  311. Innovative production machines and systems (I*PROMS): A network of excellence funded by the EU sixth framework programme
  312. An agent system for the gathering of product fault information
  313. Semantic data model for roduct support systems
  314. Neuro-fuzzy based adaptive co-operative mobile robots
  315. Artificial Neural Networks
  316. Soft Computing and its Applications in Engineering and Manufacture
  317. Fringe pattern shift detection with nano resolution
  318. Statistical analysis of signal-to-noise ratios in fringe pattern matching
  319. Intelligent automatic alignment of fibre optic components