Algorithmical approaches to business process design

Computers and Operations Research

Volumn 28, Issue 13, 2001, Pages 1253-1275

  Hofacker, Ingo ^a   Vetschera, Rudolf ^a  

^a UNIVERSITY OF VIENNA   (Austria)

Author keywords

Branch and bound; Business process reengineering; Combinatorial optimization; Genetic algorithms; Mixed integer programming; Process design

Indexed keywords

BUSINESS PROCESS DESIGNS;

CALCULATIONS; GENETIC ALGORITHMS; INDUSTRY; MATHEMATICAL PROGRAMMING;

OPERATIONS RESEARCH;

ALGORITHM; DESIGN;

EID: 0035502036     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0305-0548(00)00038-1     Document Type: Article

References (46)

1. Business process re-engineering: Some aspects of how to evaluate and manage the risk exposure
2. Re-engineering
3. Business process re-engineering (BPR) - A study of the software tools currently available
4. Multiple criteria decision support - The state of research and future directions
5. The state of decision support systems: A review
6. Decision support systems: The next decade
7. Decision support systems - An organizational perspective
8. IT-enabled redesign of complex and dynamic business processes: The case of bank credit evaluation
9. On the completeness and constructiveness of parametric characterizations to vector optimization problems
10. Ein paradigmenwechsel in informationtechnologie und organisation
11. Werkzeuge zur prozeßanalyse und -optimierung
12. Realisierung Effizienter Geschäftsprozesse
13. Introduction to business process management systems concepts
14. Now you can automate BPR
15. Business process redesign: A petri-net-based approach
16. Scheduling models for workflow management
17. Metagraphs in workflow support systems
18. A genetic algorithm application for sequencing operations in process planning for parallel machining
19. Resource-constrained project scheduling: A survey of recent developments
20. Project scheduling problems: A survey
21. Heuristic algorithms for resource-constrained project scheduling: A review and an empirical analysis
22. Some new results on simulated annealing applied to the job shop scheduling problem
23. A survey of simulated annealing applications to operations research problems
24. Future paths for integer programming and links to artificial intelligence
25. Tabu search for the job-shop scheduling problem with multi-purpose machines
26. A tabu search procedure for the resource constrained project scheduling problem with discounted cash flows
27. Using tabu search to schedule activities of stochastic resource-constrained projects
28. Tabu search for resource-constrained scheduling
29. Genetic learning of dynamic scheduling within a simulation environment
30. A genetic algorithm for the job shop problem
31. Assembly line balancing using genetic algorithms with heuristic-generated initial populations and multiple evaluation criteria
32. Sequencing mixed-model assembly lines with genetic algorithms
33. A genetic algorithm for flowshop sequencing
34. GL scheduling in a sequence dependent setup environment with genetic search
35. Genetic algorithm for assembly line balancing
36. A genetic algorithm for multiple objective sequencing problems in mixed model assembly lines
37. Guidelines for reporting results of computational experiments
38. Genetic algorithms and tabu search: Hybrids for optimization
39. A genetic algorithm approach to single and multiobjective structural optimization with discrete-continuous variables