Defects tracking in mass customisation production using defects tracking matrix combined with principal component analysis

Abstract

One of the most important quality control tools for mass customisation production (MCP) is defects tracking. Classical statistical process control and design of experiment technologies are not useful for MCP quality control due to the extensive difference in organisational structures, values, management roles and systems, learning and training techniques and customer relations with the traditional mass production. Defects tracking work is often affected by the frequent reconfiguration of the production line and the interruption of the quality information flow. The purpose of this research is to develop an effective and efficient tool for defects tracking in MCP. A defect tracking matrix (DTM) based on house of quality is constructed to directly connect manufacturing technologies with quality defects within a production module. An AHP method is employed and a new correlation coefficients calculation algorithm is proposed to build the 'house'. The matrix, which is called 'defect-gene matrix', contains core defects and manufacturing technologies extracted from DTM by using principle component analysis. The defect-gene matrix can identify and track defects in mass customisation production without being affected by the frequent reconfiguration of the production line and the interruption of the quality information flow. The application revealed that the proposed DTM and defect-gene matrix was an effective and efficient tool for defects tracking in MCP. The defect-gene matrix brings a novel idea to defects tracking. The results of this research will help systematically in defects tracking in MCP.

Revenue-Sharing Contract Models for Logistics Service Supply Chains with Mass Customization Service

“…Including the autoindustry, clothing industry, and computer industry, many major economic industries benefit from this production mode [13]. Overall, most studies of MC mainly discuss the production modes, including the MC approach and its product design [14,15], MC production planning and control technology [16,17], MC cost of production [18], and factors and conditions that affect MC [19]. With the increase of research on MC, many scholars review the literature in the field.…”

A Time Scheduling Model of Logistics Service Supply Chain Based on the Customer Order Decoupling Point: A Perspective from the Constant Service Operation Time

“…Fogliatto et al [ 12 ] conducted a detailed review of the literature on MC production since the 1980s. From the view of the current progress in domestic and international research, research on MC mainly developed in the MC production mode in the manufacturing industry, such as the MC mode and its product development (see, e.g., [ 13 , 14 ]), production planning and control technology in MC (see, e.g., [ 15 , 16 ]), costs of MC (see, e.g., [ 17 ]), and factors and conditions that influence MC ( see, e.g., [ 18 ]), among others.…”

An Order Insertion Scheduling Model of Logistics Service Supply Chain Considering Capacity and Time Factors

“…Fogliatto et al [ 8 ] reviewed the literature on MC production in detail since the 1980s. From the view of the current domestic and international research progress, researches on MC were mainly developed within the MC production mode in manufacturing industry, including MC mode and its product development; see, for example, [ 9 ], production planning and control technology in MC; see, for example, [ 10 ], cost study of MC; see, for example, [ 11 ], research on the factors and conditions that influence MC; see, for example, [ 12 ].…”