Using fuzzy theory for packaging attribute deployment for new notebook computer introduction

Abstract

The purpose of this study is to focus on the packaging issues at the new product introduction (NPI) stage of notebook computer that enterprises encounter when practicing global logistics. It acquires the weight of product design by quality function deployment in two phases: package design and product design. This study uses product's attributes and their weights as the measurement index for TOPSIS to evaluate the risk priority number of FMEA. Design suggestions generated from reverse feedback can increase logistics efficiency and enable designers to design-out logistics inefficiency caused by product design at the early stage. With effective cooperation, we can learn the critical attributes in NPI when considering logistics factors and assist designers to dissolve design inefficiency. As a result, we can achieve the mechanism of prevention inefficiency in advance, decrease engineering changes, lower costs to speed up the NPI and increase enterprises' competitiveness. © Springer-Verlag Berlin Heidelberg 2007.