Fuzzy job sequencing for a flow shop

European Journal of Operational Research

Volumn 62, Issue 3, 1992, Pages 294-301

  McCahon, Cynthia S ^a   Lee, E Stanley ^a  

^a KANSAS STATE UNIVERSITY   (United States)

Author keywords

fuzzy numbers; Fuzzy sets; job sequencing; scheduling

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; FUZZY SETS; HEURISTIC METHODS; SCHEDULING;

CAMPBELL DUDEK AND SMITH (CDS) JOB SEQUENCING ALGORITHM; DETERMINISTIC SEQUENCES; FLOW SHOP; FUZZY INTEGRAL; FUZZY NUMBERS; JOB SEQUENCING; POSSIBILITY THEORY;

JOB ANALYSIS;

EID: 0027116166     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/0377-2217(92)90119-T     Document Type: Article

References (13)

1. A review of some methods for ranking fuzzy numbers
2. A heuristic algorithm for the n-job m-machine sequencing problem
3. The advantages of fuzzy approach in OR/MS demonstrated on two examples of resource allocation problems
4. Membership function, some mathematical programming models and production scheduling
5. Optimal two- and three-stage production schedules with setup times included
6. Comparison of fuzzy numbers based on the probability measure of fuzzy events
7. Ranking fuzzy numbers — A comparison
8. On the job shop schedulling by mathematical programming
9. Fuzzy set theory applied to production and inventory control
10. A general algorithm for solution of the n-job m-machine sequencing of the flow shop
11. Fuzzy measures and fuzzy integrals — A survey
12. Fuzzy sets as a basis for a theory of possibility