Diagnostic assessment of product lifecycle management based on Industry 4.0 requirements

Santos, Kássio Cabral Pereira dos; Loures, Eduardo de Freitas Rocha; Canciglieri Junior, Osiris; Micosky, André Luiz

doi:10.1590/0103-6513.20210082

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Thematic Section - Advances in Production Research • Prod. 32 • 2022 • https://doi.org/10.1590/0103-6513.20210082 copy

Diagnostic assessment of product lifecycle management based on Industry 4.0 requirements

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

Paper aims

Diagnostic analysis of PLM (Product Lifecycle Management) based on Industry 4.0 requirements supported by the AHP (Analytic Hierarchy Process) method.

Originality

The literature review found no research papers on PLM Maturity Models linked to requirements of Industry 4.0, attesting to the originality of the research and the topic proposed by the study.

Research method

The analysis is performed using an assessment framework that organizes and lists I4.0 attributes and PLM categories, supported by a multicriteria diagnostic assessment model based on the AHP method. The case study used in the research is an automotive industry located in the city of Curitiba, Brazil.

Main findings

A diagnostic analysis of the PLM categories and attributes of the I4.0 was performed, and the company’s overall levels of maturity were observed.

Implication for theory and practice

The results obtained from the diagnostic analysis indicate that the company maturity is Level 2, analyses were also undertaken with respect to PLM categories and Industry 4.0 attributes. Proposals for improvements were made with the objective of increasing the level of maturity and reducing gaps and problems identified in the diagnostic assessment.

Keywords
PLM; I4.0; Maturity model; AHP

Industry 4.0 Concerns		MM1	MM2	MM3	MM4	MM5
ThreeNecessary Integration Features	Horizontal Integration	+	+	++	++	+
	Vertical Integration	++	++	-	++	++
	End to End Digital Integration	-	-	-	-	+

MM PLM
MM I4.0			BOL
Maturity Models	Dimensions	Attributes	Customers Demands	Cooperative Corporation Information	Design Specifications	Production Information
Impuls	Smart Factory	Digital Modeling	1	0	9	3
Impuls	Smart Factory	Data Utilization	9	9	1	9
Impuls	Smart Factory	Data Analysis	9	9	0	3
Impuls	Data-Driven Services	Data Sharing	0	9	0	3
Impuls	Data-Driven Services	Result Sharing	0	9	0	0
Impuls	Data-Driven Services	Data-driven services	9	0	0	0
Impuls	Smart Operations	Cloud	9	3	0	3
I4.0 Maturity Model	Customer	Customers data usage	9	3	9	0
I4.0 Maturity Model	Products	Product Individualization	9	0	0	1
I4.0 Maturity Model	Products	Product Digitalization	1	0	0	0
Index	Resources	Efficient Communication	0	1	1	9
Index	Resources	Task Based design and interfaces	3	0	3	0
Index	Information Systems	Vertical and Horizontal Integration	0	9	0	9
Index	Information Systems	Data Management	0	1	3	3
Index	Information Systems	Standard Data Interface	3	0	3	1
Waterhouse	Agile IT Architecture	Unified Database	3	1	9	9
Waterhouse	Agile IT Architecture	External Data Integration	0	9	0	0
Waterhouse	Compliance, security, legal & ta	Optimized Supply Chain	0	9	0	0
Waterhouse	Compliance, security, legal & ta	Collaboration as Value	9	9	1	1

BOL	Customer Demand	Design Specification	Production Information	Relative Weight	Rank
Customer Demand	1	2	0.25	0.32748	2
Design Specification	0.5	1	0.33	0.25992	3
Production Information	4	3	1	0.4126	1

		Customer Demand		Design Specification		Production Information
BOL	0.296	Customer Data	0.33949	Data Analysis	0.459	Remote Monitoring	0.66127
		Data Information Sharing	0.66052	Digital Modeling	0.15	Data Utilization	0.33873
				Efficient Communication	0.391
		0.32748		0.25992		0.4126
		Production Information		Product Information		Maintenance Plan
MOL	0.4208	Customer Focus	0.16195	Big Data	0.87995	Data Analysis	0.43017
		Supply Chain Management	0.55122	Cloud	0.12005	HMI	0.03983
		Digital Port. of Prod. And Services	0.28692			Remote Monitoring	0.53
		0.3713		0.3972		0.2315
		Maintenance History Information		Recycling Part Information		Product Status Information
EOL	0.2832	Remote Monitoring	0.16108	Efficient Communication	0.29633	Data Utilization	0.53593
		Data Analysis	0.56851	Data Analysis	0.70367	Customer Data Usage	0.46407
		Data Sharing	0.27041
		0.37899		0.3523		0.26871

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E-mail: production@editoracubo.com.br

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[1] * kassio.santos@up.edu.br

PLM Phase	BOL	Example
Attribute	Customer Data
Relates Attribute	Customer Demand
Maturity Level	Level 1
Attribute Description	Are expected from the customer related to the needs of the product function, configuration, packing, costs and other expectants. The company will use this data (information) for the product development process
Assessment Propose	Check how this data is reported by customers and how the company will use t
Evaluation Indicators	a) Data Availability
	b) Data Sharing
	c) Data Dissemination
Results	There and no sharing of costumer data and the company carries out the product development process without this information