Open Access. Powered by Scholars. Published by Universities.®
Operations Research, Systems Engineering and Industrial Engineering
- Keyword
-
- Simulated Annealing (2)
- Stock Cutting Problem (2)
- Computerised Pattern Recognition (1)
- Cutting (1)
- Cutting Stock Problems (1)
-
- Economic and Sociologic Effects (1)
- Economics (1)
- Energy Function (1)
- Engineering Economy Project Analysis (1)
- Expert Systems (1)
- Feature-Recognition Network (1)
- Finite Dimensions (1)
- Heuristics (1)
- Irregular Patterns (1)
- Level of Similarity (1)
- Manufacturing (1)
- Manufacturing Data Processing (1)
- Multivariate Holistic Methods (1)
- Neural Nets (1)
- Neural Networks (1)
- Operations Research (1)
- Overlap (1)
- Parallel Architecture (1)
- Parallel Architectures (1)
- Parallel Processing (1)
- Production Control (1)
- Project Engineering (1)
- Random Placement (1)
- Random Selection (1)
- Simulated Annealing Approach (1)
Articles 1 - 5 of 5
Full-Text Articles in Engineering
A Parallel Architecture For Stock Cutting Problem, Cihan H. Dagli, Alireza Hajakbari
A Parallel Architecture For Stock Cutting Problem, Cihan H. Dagli, Alireza Hajakbari
Engineering Management and Systems Engineering Faculty Research & Creative Works
The problem of allocating irregular patterns arises frequently in applications where it has to be determined how a set of two-dimensional shapes will fit onto a stock sheet of finite dimensions with minimum waste. The use of the simulated annealing approach for the solution of this problem is described
Simulated Annealing Approach For Solving Stock Cutting Problem, Cihan H. Dagli, Alireza Hajakbari
Simulated Annealing Approach For Solving Stock Cutting Problem, Cihan H. Dagli, Alireza Hajakbari
Engineering Management and Systems Engineering Faculty Research & Creative Works
The simulated annealing approach is applied to stock cutting. The conceptual approach proposed uses an energy function that measures the area of the rectangular enclosure of all the patterns to be nested, the level of similarity between pattern pairs, and the amount of overlap among patterns in evaluating various pattern configurations to be generated by the simulated annealing algorithm. Three methods for pattern configuration generation are considered. The first method uses heuristics to generate the initial configuration. The second and third methods use random selection and random placement of patterns
Knowledge-Based Prototype For Improving Scheduling Productivity, Colin Othniel Benjamin, Daniel L. Babcock, N. B. Yunus, John B. Kincaid
Knowledge-Based Prototype For Improving Scheduling Productivity, Colin Othniel Benjamin, Daniel L. Babcock, N. B. Yunus, John B. Kincaid
Engineering Management and Systems Engineering Faculty Research & Creative Works
The development of efficient construction plans and schedules presents continuing challenges to construction schedulers. Knowledge-based systems offer considerable potential as computer-based planning tools to aid the development of realistic project plans and schedules. This paper outlines the development of a knowledge-based prototype system for construction planning and scheduling and evaluates its effectiveness as a tool for improving the productivity of inexperienced construction project schedulers. The prototype, developed using the M.1 knowledge engineering shell, incorporates data bases, algorithm, and heuristics that mimic the decision process of expert construction project schedulers and identifies a work breakdown structure and precedence relationships. Inexperienced schedulers …
Cost Justification Of An Expert System, Alice E. Smith, Cihan H. Dagli
Cost Justification Of An Expert System, Alice E. Smith, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
It is pointed out that, like other projects which spend corporate dollars, an expert system must be analyzed for its economic and strategic worth to the organization. Both traditional engineering economy project analysis and multivariate holistic methods can be applicable. The fundamental strategy of the analyst is to decide upon the evaluation methodologies, gather cost and benefit data, study the project from various perspectives, and present the results and recommendations.
Neural Networks In Manufacturing: Possible Impacts On Cutting Stock Problems, Cihan H. Dagli
Neural Networks In Manufacturing: Possible Impacts On Cutting Stock Problems, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
The potential of neural networks is examined, and the effect of parallel processing on the solution of the stock-cutting problem is assessed. The conceptual model proposed integrates a feature-recognition network and a simulated annealing approach. The model uses a neocognitron neural network paradigm to generate data for assessing the degree of match between two irregular patterns. The information generated through the feature recognition network is passed to an energy function, and the optimal configuration of patterns is computed using a simulated annealing algorithm. Basics of the approach are demonstrated with an example.