Optimization of multi responses using data envelopment analysis: The application in food industry

Abstract

Multiple response is a widely used method of increasing product quality, optimizing cost and time in industry. However, technological developments and processes are becoming more and more complex, which means that more than one response is effective rather than a single response, in product or process optimization. The Response Surface Methodology (RSM) can be used to optimize a single response or multiple responses. It is known that when there are numerous responses, it is difficult and complex to optimize responses simultaneously. Data Envelopment Analysis (DEA) is a statistical approach where multiple inputs and multiple outputs, regardless of how many they are can simultaneously be optimized. For this reason, in this study Data Envelopment Analysis (DEA) technique was applied in combination with The Response Surface Methodology (RSM) and this enabled us to optimize more than one response concurrently.