The Product Matrices — The Facilitating Instruments for an Improved “Understanding of Product Functionalities”

Thomas Lager

Chapter 16 in Contemporary Quality Function Deployment for Product and Process Innovation:Towards Digital Transformation of Customer and Product Information in a New Knowledge-Based Approach, 2019, pp 195-211 from World Scientific Publishing Co. Pte. Ltd.

Abstract: It has already been mentioned that the largely homogenous products produced in the process industries appear “low tech” for the superficial onlooker but in reality often have a high inherent material complexity. It was thus before pointed out in Chapter 8 that a QFD system that is well adapted to process-industrial product innovation must have an ability to relate Product Design Requirements to such inherent product characteristics. In other words, the system must facilitate an understanding of how internal product characteristics cause improved product functionalities in a customer’s use of a product. In this book, such product characteristics have been denominated Explanatory Product Characteristics; in Fig. 16.1, this concept is further discussed…

Keywords: Quality Function Deployment; Product Development; Development; Manufacturing; Innovation; Technology; Product Innovation; Process Industry; Voice of the Customer; House of Quality; Manufacturing Industries; Matrix Analysis; Target Setting; Downstream Matrices; Process Matrix; Raw Material Matrices; Product Matrices; Multiple Progression; Integrated Knowledge Platforms (IKPs); Company Knowledge Creation; Company Knowledge Utilization (search for similar items in EconPapers)
JEL-codes: O3 O32 (search for similar items in EconPapers)
Date: 2019
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