On a special case of uniform processor scheduling
Journal of Algorithms
A genetic algorithm for packing in three dimensions
SAC '92 Proceedings of the 1992 ACM/SIGAPP symposium on Applied computing: technological challenges of the 1990's
On multi-dimensional packing problems
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
Fluid limits, bin packing, and stochastic analysis of algorithms
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A Hybrid Genetic Algorithm for the Single Machine Scheduling Problem
Journal of Heuristics
Two-dimensional on-line bin packing problem with rotatable items
Theoretical Computer Science
Recent advances on two-dimensional bin packing problems
Discrete Applied Mathematics
Single machine scheduling with a variable common due date and resource-dependent processing times
Computers and Operations Research
A decision support system for production scheduling in an ion plating cell
Expert Systems with Applications: An International Journal
High speed flexible fuzzy hardware for fuzzy information processing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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The bin packing problems play an important role in plans of production and saving cost in factories. This paper is to develop a set of intellectual automatic typesetting system (IATS) for luggage factories through bin packing algorithm and genetic algorithm. Firstly, we attain the cost of raw materials by bill of material (BOM) from orders. Secondly, the producing procedure of the luggage has been divided into two parts. The first part: using the one-dimensional typesetting algorithm (ODTA) to solve the problem of fabric cutting. The second part: using the two-dimensional packing algorithm to solve the problem of leather, wood and the plastic plates cutting. Finally, we combine the IATS with mobile phone to offer an effective quick response/efficient consumer response (QR/ECR). Hence, users can look up the minimal cost of raw materials and received the quote rapidly. It is not only more effective than traditional fabric typesetting work but also saves plenty of human resources for luggage factories.