Multicriteria order acceptance decision support in over-demanded job shops: A neural network approach

Mathematical and Computer Modelling

Volumn 19, Issue 5, 1994, Pages 1-19

  Wang, J ^a   Yang, J Q ^a   Lee, H ^b  

^a UNIVERSITY OF NORTH DAKOTA   (United States)

^b Larmar University   (United States)

Author keywords

Decision support; Neural networks; Order management; Preference assessment

Indexed keywords

EID: 38149144595     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/0895-7177(94)90086-8     Document Type: Article

References (24)

1. How to more effectively accept and refuse orders
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4. A study of small subcontract and make-to-order firms in relation to quotation for orders
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6. A queueing reward system with several customer classes
7. The streetwalker's dilemma: A job shop model
8. Optimal acceptance of job orders
9. Job-shop model A M/(GG)/1(N) production system with order selection
10. Optimal order-selection policies for a job shop production system
11. A work-load rank heuristic model for job order acceptance
12. Capacity-based order review/release strategies to improve manufacturing performance
13. On the approximate realization of continuous mappings by neural networks
14. Multilayer feedforward networks are universal approximators
15. Learning internal representations by error propagation
16. A feedforward neural network for multiple criteria decision making
17. Artificial neural networks versus natural neural networks: A connectionist paradigm for preference assessment
18. Connectionist decision support systems for multiple criteria decision making
19. Characterization of training errors in supervised learning using gradient-based learning rules