All Stories

  1. Reproducibility Companion Paper: On Learning Disentangled Representation for Acoustic Event Detection
  2. On Learning Disentangled Representation for Acoustic Event Detection
  3. Developing innovation capability in a mass production organization
  4. Optimal Routing for Plug-In Hybrid Electric Vehicles
  5. Product design and manufacturing process based ontology for manufacturing knowledge reuse
  6. Hazard rate models for core return modeling in auto parts remanufacturing
  7. Soft Boundary Approach for Unsupervised Gesture Segmentation in Robotic-Assisted Surgery
  8. Dynamic routing for milk-run tours with time windows in stochastic time-dependent networks
  9. Optimal soft-order revisions under demand and supply uncertainty and upstream information
  10. Survival Analysis based Framework for Early Prediction of Student Dropouts
  11. Distance-based time series classification approach for task recognition with application in surgical robot autonomy
  12. Online scheduling and pricing for electric vehicle charging
  13. An energy modeling and evaluation approach for machine tools using generalized stochastic Petri Nets
  14. Directions for instilling economic and environmental sustainability across product supply chains
  15. Hierarchical time-dependent shortest path algorithms for vehicle routing under ITS
  16. Integrated production and logistics planning: Contract manufacturing and choice of air/surface transportation
  17. Simulation platform for anticipative plant-level maintenance decision support system
  18. Focused factories: a Bayesian framework for estimating non-product related investment
  19. A cost sensitive inpatient bed reservation approach to reduce emergency department boarding times
  20. Assortment planning of automotive products with considerations for economic and environmental impacts of technology selection
  21. Supply chain focus dependent sensitivity of the point of product differentiation
  22. Efficient exact optimization of multi-objective redundancy allocation problems in series-parallel systems
  23. Remanufacturing Decision-Making Framework (RDMF): research validation using the analytical hierarchical process
  24. Effects of traffic network dynamics on hierarchical community-based representations of large road networks
  25. Hazard rate models for early detection of reliability problems using information from warranty databases and upstream supply chain
  26. The bullwhip effect in capacitated supply chains with consideration for product life-cycle aspects
  27. Dynamic routing under recurrent and non-recurrent congestion using real-time ITS information
  28. Dynamic routing of time-sensitive air cargo using real-time information
  29. State space reduction in modeling traffic network dynamics for dynamic routing under ITS
  30. mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification
  31. Role of hidden-Markov models for autonomous diagnostics of cutting tools
  32. Supply chain focus dependent supplier selection problem
  33. A Conceptual Framework for a Sustainable Product Development Collaboratory to Support Integrated Sustainable Design and Manufacturing
  34. Aftermarket remanufacturing strategic planning decision-making framework: theory & practice
  35. An Industrial Strength Novelty Detection Framework for Autonomous Equipment Monitoring and Diagnostics
  36. Health-State Estimation and Prognostics in Machining Processes
  37. Metamodels for variable importance decomposition with applications to probabilistic engineering design
  38. Remanufacturing for the automotive aftermarket-strategic factors: literature review and future research needs
  39. Autonomous diagnostics and prognostics in machining processes through competitive learning-driven HMM-based clustering
  40. A framework for developing a CSCW environment to improve concept-based decision making
  41. General support vector representation machine for one-class classification of non-stationary classes
  42. Hidden-Markov model based sequential clustering for autonomous diagnostics
  43. Automotive Manufacturing: Intelligent Resistance Welding
  44. Prediction of drill-bit breakage from degradation signals using Mahalanobis-Taguchi system analysis
  45. Supply chain focus dependent safety stock placement
  46. MASCF: A generic process-centered methodological framework for analysis and design of multi-agent supply chain systems
  47. A Quality-Based Business Model for Determining Non-product Investment: A Case Study From a Ford Automotive Engine Plant
  48. Empirical prediction limit estimation methods for feed-forward neural networks
  49. Online qualitative nugget classification by using a linear vector quantization neural network for resistance spot welding
  50. Design reuse framework: a perspective for lean development
  51. Computation Intelligence in Online Reliability Monitoring
  52. A performance comparison tool for supply chain management
  53. An Autonomous Diagnostics and Prognostics Framework for Condition-Based Maintenance
  54. Hierarchical HMMs for Autonomous Diagnostics and Prognostics
  55. Intelligent Constant Current Control for Resistance Spot Welding
  56. A neuro-fuzzy approach for estimating mean residual life in condition-based maintenance systems
  57. A fuzzy logic based approach to reliability improvement estimation during product development
  58. On-line reliability estimation for individual components using statistical degradation signal models
  59. Online Reliability Estimation of Physical Systems Using Neural Networks and Wavelets
  60. Support vector machines for recognizing shifts in correlated and other manufacturing processes
  61. Intelligent Quality Controllers for On-Line Parameter Design
  62. On-line reliability estimation of individual components, using degradation signals
  63. Using support vector machines for recognizing shifts in correlated manufacturing processes
  64. Autonomous diagnostics and prognostics through competitive learning driven HMM-based clustering
  65. Hierarchical HMMs for Autonomous Diagnostics and Prognostics
  66. An Autonomous Diagnostics and Prognostics Framework for Condition-Based Maintenance
  67. Dynamic bayesian networks for machine diagnostics: hierarchical hidden markov models vs. competitive learning
  68. Non-stationary data domain description using weighted support vector novelty detector