Expert systems and fuzzy systems
Expert systems and fuzzy systems
Axiomatic foundation of the analytic hierarchy process
Management Science
Fuzzy logic, neural networks, and soft computing
Communications of the ACM
Evaluating weapon system by Analytical Hierarchy Process based on fuzzy scales
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Evaluating weapon systems using ranking fuzzy numbers
Fuzzy Sets and Systems
The conflict-problem-solving CAD software integrating TRIZ into eco-innovation
Advances in Engineering Software
Selection of new production facilities with the Group Analytic Hierarchy Process Ordering method
Expert Systems with Applications: An International Journal
Triggering navigators for innovative system design: The case of lab-on-a-chip technology
Expert Systems with Applications: An International Journal
Journal of Intelligent Manufacturing
Calibrated fuzzy AHP for current bank account selection
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
The development of an innovative design process for eco-efficient green products
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: users and contexts of use - Volume Part III
An integrated expert system for fast disaster assessment
Computers and Operations Research
Hi-index | 12.06 |
Innovative design in the development of new product and process has become the core value in most business establishments. These innovative designs are often associated with the long-established trade-off compromises or conflicting performance parameters where speed and reliability, or quality and cost are readily acknowledged. The rate of change in technology and the commercial environment suggests that the opportunity for innovative design is accelerating, and systematic support for innovation process is needed. This study combines the Russian Theory of Inventive Problem Solving (TRIZ) and the fuzzy analytical hierarchy process (AHP) for designing the automated manufacturing systems. This study applied the contradiction matrix table, 40 innovative principles, and 39 engineering parameters to compromise the trade-off between design contradictions and engineering parameters. The design engineers can acquire more feasible solutions and inspiration through the proposed approach. However, due to vagueness and uncertainty in the decision-maker's judgment, a fuzzy AHP is employed as a decision support tool that can adequately represent qualitative and subjective assessments under the multiple criteria decision making environment. Moreover, the proposed approach can help decision makers facilitate the selection and evaluation of innovative designs in the presence of intangible attributes and uncertainty. In short, the objectives of this research are to use TRIZ to propose the automated design alternatives under the innovative design consideration, and to use a fuzzy AHP to evaluate and select the best feasible alternative under multiple criteria. A case study of designing automated connector assembly line has been used to demonstrate the applicability of the proposed approach.