Agile manufacturing: forging new frontiers
Agile manufacturing: forging new frontiers
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
A novel approach for measuring agility in manufacturing firms
International Journal of Computer Applications in Technology
A Strategic Model for Measuring Agility with Fuzzy Logic
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Computers and Industrial Engineering
Enhancing enterprise agility by deploying agile drivers, capabilities and providers
Information Sciences: an International Journal
Evaluation of e-government information systems agility in the perspective of sustainability
EGOVIS'11 Proceedings of the Second international conference on Electronic government and the information systems perspective
A predictive business agility model for service oriented architectures
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
| Hi-index | 0.00 |
Agility metrics are difficult to define in general, mainly due to the multidimensionality and vagueness of the concept of agility itself. In this paper, a knowledge-based framework is proposed and presented as a candidate solution for the measurement and assessment of manufacturing agility. Given an enterprise, in order to calculate its overall agility, a set of quantitatively defined agility parameters is proposed and grouped into production, market, people and information infrastructures. The combined, resulting, measure incorporates the individual and grouped infrastructure agility parameters and their variations into one calculated value of the overall agility. The necessary expertise used to quantitatively determine and measure individual agility parameters is represented via fuzzy logic terminology that allows for human-like knowledge representation and reasoning. An example demonstrates the feasibility and applicability of the proposed approach.