Name
Abstract | ||
|---|---|---|
Given a design problem of production systems with multiple criteria and multiple levels of resource availability, we want to select the best subset from a set of possible products as the optimal production system for production and to construct the corresponding optimal contingency plans for coping with the changes of decision parameters. In this paper, by using the multi-criteria and multi-constraint-level (MC2) simplex method, we develop a computer-aided system for identifying the optimal production systems and their corresponding optimal contingency plans for production. |
Year | DOI | Venue |
|---|---|---|
1994 | 10.1016/0167-9236(94)90012-4 | Decision Support Systems |
Keywords | Field | DocType |
MC(2)-SIMPLEX METHOD, OPTIMAL LINEAR PRODUCTION SYSTEMS, OPTIMAL CONTINGENCY PLANS, AUGMENTED MODEL, SOLUTION PROCEDURE, COMPUTER-AIDED SYSTEM | Data mining,Mathematical optimization,Multiple criteria,Simplex algorithm,Computer science,Computer-aided,Operations research,Contingency plan | Journal |
Volume | Issue | ISSN |
12 | 2 | 0167-9236 |
Citations | PageRank | References |
1 | 0.38 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Shi | 1 | 3208 | 264.97 |
| Po-Lung Yu | 2 | 35 | 7.45 |
| Changqing Zhang | 3 | 2 | 2.44 |
| Dazhi Zhang | 4 | 76 | 7.85 |