Short answer

Incorporate data from Product Lifecycle Management (PLM) and other enterprise systems into the design of industrial symbiosis platforms to enable more effective by-product matching and resource utilization.

Field: Resource Management
Source: Procedia Manufacturing (2017)
Method: Comparative analysis and requirements identification
Evidence: Moderate effect

Leveraging product lifecycle data from Product Lifecycle Management (PLM) systems can significantly improve the efficiency of industrial symbiosis platforms in the discrete parts and product manufacturing (DPPM) sector. This resource management research insight is drawn from a 2017 study published in Procedia Manufacturing. Using Comparative analysis and requirements identification, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate data from Product Lifecycle Management (PLM) and other enterprise systems into the design of industrial symbiosis platforms to enable more effective by-product matching and resource utilization.

Study

Resource ManagementHigh ImpactModerate effect

Integrating PLM Data Enhances Industrial Symbiosis Platform Effectiveness

Procedia Manufacturing · 2017

Key Findings

01Existing industrial symbiosis platforms in the DPPM sector have limited success.
02Current input-output matching tools do not utilize organizational data sources such as PLM, PDM, ERP, SCM, and MES.
03By-product specifications in DPPM require richer data than currently provided by matching tools.

Application

Design takeaway

How to apply

When designing or selecting industrial symbiosis platforms, prioritize those that can integrate with existing PLM, ERP, and manufacturing execution systems to access detailed product and process data.

Project actions

01Investigate how data from different design and manufacturing software can be shared.
02Consider the types of data needed to successfully match waste materials with new uses.

Method & Evidence

AimHow can product lifecycle data from PLM systems be utilized to improve the input-output matching capabilities of industrial symbiosis platforms within the discrete parts and product manufacturing industry?

MethodComparative analysis and requirements identification

ProcedureThe research analyzed existing input-output matching tools for industrial symbiosis, reviewed by-product specifications in the DPPM industry to define data source requirements, identified shortcomings in current tools, and proposed the integration of organizational data sources like PLM, PDM, ERP, SCM, and MES.

ContextIndustrial Symbiosis platforms and the Discrete Parts and Product Manufacturing (DPPM) industry

Variables

IV["Utilization of PLM and related organizational data","Input-output matching tool capabilities"]

DV["Effectiveness of industrial symbiosis platforms","Success rate of by-product exchange"]

CV["Discrete Parts and Product Manufacturing (DPPM) industry","Type of by-products considered"]

Strengths & Limitations

Strengths

+Identifies a critical gap in current industrial symbiosis solutions.
+Proposes specific, actionable data sources for improvement.

Limitations

The study does not detail the technical challenges of integrating disparate data systems.

Reliability & validity

The study's findings are based on an analysis of existing tools and industry specifications, suggesting moderate reliability. Validity is strong within the context of the DPPM industry but may be limited in generalizability.

Think critically

To what extent are the proposed data integrations technically feasible for small and medium-sized enterprises (SMEs) with limited IT resources?

Design Principles

"Data-rich integration for circular economy enablement."

Current industrial symbiosis platforms often struggle to facilitate the exchange of by-products in the DPPM industry due to insufficient data. By integrating data from PLM, PDM, ERP, SCM, and MES systems, designers and engineers can gain a more comprehensive understanding of material flows and potential synergies, leading to more successful circular economy initiatives.

What This Means for Your Design

Making industrial symbiosis platforms better means using more information about products and how they are made, especially data from systems that track a product's whole life, like PLM.

How to use in your project

1.Use this research to justify the importance of data integration in your design for a circular economy project.
2.Refer to this study when discussing the limitations of current systems for managing industrial by-products.

Add to My Project

Quick Cite

Paragraph starter

This research by Halstenberg, Lindow, and Stark (2017) suggests that the effectiveness of industrial symbiosis platforms, particularly in the discrete parts and product manufacturing sector, is significantly hampered by a lack of comprehensive data. The authors identify that current platforms fail to leverage crucial organizational data sources such as Product Lifecycle Management (PLM), Product Data Management (PDM), Enterprise Resource Planning (ERP), Supply Chain Management (SCM), and Manufacturing Execution Systems (MES). Integrating this rich product lifecycle data is proposed as a key strategy to improve the input-output matching capabilities necessary for successful by-product exchange and the advancement of circular economy principles.

Source

Procedia Manufacturing

Utilization of Product Lifecycle Data from PLM Systems in Platforms for Industrial Symbiosis

journal · 2017

View source

Questions About This Research

What does the research say about integrating plm data enhances industrial symbiosis platform effectiveness?: Incorporate data from Product Lifecycle Management (PLM) and other enterprise systems into the design of industrial symbiosis platforms to enable more effective by-product matching and resource utilization. Evidence: Procedia Manufacturing (2017).
Why does "Integrating PLM Data Enhances Industrial Symbiosis Platform Effectiveness" matter for design?: Current industrial symbiosis platforms often struggle to facilitate the exchange of by-products in the DPPM industry due to insufficient data. By integrating data from PLM, PDM, ERP, SCM, and MES systems, designers and engineers can gain a more comprehensive understanding of material flows and potential synergies, leading to more successful circular economy initiatives.
How can designers apply this research?: Incorporate data from Product Lifecycle Management (PLM) and other enterprise systems into the design of industrial symbiosis platforms to enable more effective by-product matching and resource utilization.
What were the main findings?: Existing industrial symbiosis platforms in the DPPM sector have limited success.. Current input-output matching tools do not utilize organizational data sources such as PLM, PDM, ERP, SCM, and MES.. By-product specifications in DPPM require richer data than currently provided by matching tools.
What research method was used?: Comparative analysis and requirements identification.
How strong is the evidence?: Evidence strength is rated Moderate effect, based on a 2017 journal from Procedia Manufacturing.
What should I do differently in my next project?: When designing or selecting industrial symbiosis platforms, prioritize those that can integrate with existing PLM, ERP, and manufacturing execution systems to access detailed product and process data.
What are the limitations?: The study focuses specifically on the DPPM industry and may not be directly applicable to other sectors without adaptation.