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 andtime in industry. However, technological developments and processes are becoming more andmore complex, which means that more than one response is effective rather than a singleresponse, in product or process optimization. The Response Surface Methodology (RSM) canbe used to optimize a single response or multiple responses. It is known that when there arenumerous responses, it is difficult and complex to optimize responses simultaneously. DataEnvelopment Analysis (DEA) is a statistical approach where multiple inputs and multipleoutputs, 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 withThe Response Surface Methodology (RSM) and this enabled us to optimize more than oneresponse concurrently.