Litcius/Paper detail

Quality management in industry 4.0 environment: a morphological analysis and research agenda

Anupama Prashar

2022International Journal of Quality & Reliability Management49 citationsDOI

Abstract

Purpose Digitalised and interconnected production systems in the era of fourth industrial revolution or Industry 4.0 (I4.0) have triggered the need of reshaping the traditional Quality Management (QM) models and roles of quality professionals. The purpose of this paper is to review the body of literature on QM in the I4.0 environment (also termed as “Quality 4.0”) and identify future research possibilities. Design/methodology/approach The morphological analysis (MA) framework is used to identify research gaps in a systematic manner. We present the MA framework based on a literature review of 51 papers on the Australian Business Deans Council (ABDC) list identified using systematic review protocol. Findings The MA framework, built on six relevant dimensions, namely, production and operations function, scope of QM activities, enabling technologies, latent capabilities of digitalisation, performance metrics and QM principles, and 41 associated variants, reveals 367 research gaps as an upper bound of opportunities for future research. Originality/value This paper is possibly the first to use MA for reviewing the QM literature, presenting important contributions. The MA framework acts as a ready reckoner on the QM in I4.0 literature. It documents research gaps through the construction of a cross-consistency matrix.

Topics & Concepts

OriginalityScope (computer science)Consistency (knowledge bases)Quality (philosophy)Conceptual frameworkFunction (biology)Systematic reviewKnowledge managementIndustry 4.0Protocol (science)Computer scienceProcess managementManagement scienceBusinessEngineeringSociologyPolitical scienceQualitative researchMedicineData miningSocial scienceArtificial intelligenceEpistemologyPhilosophyProgramming languageBiologyEvolutionary biologyAlternative medicineMEDLINEPathologyLawDigital Transformation in IndustryManufacturing Process and OptimizationTechnology Assessment and Management