Social Life Cycle Assessment Case Study | DEISO

Social Life Cycle Assessment for a Textile Manufacturing Supply Chain in Bangladesh

This illustrative case study demonstrates how DEISO can structure a Social Life Cycle Assessment for a textile manufacturing supply chain using a stakeholder-based approach. The scenario is designed to show how social indicators can be organized, quantified, interpreted, and translated into practical improvement priorities across the lifecycle.

Case Positioning

This is an illustrative technical case study prepared to demonstrate DEISO’s Social Life Cycle Assessment approach. It does not represent a real client engagement, a real facility, or confidential company data. It is intended as a representative scenario showing how a structured S-LCA can reveal social hotspots across a product supply chain.

Scenario Overview

• Country: Bangladesh
• Industry: Textile and garment manufacturing
• System Scope: Raw material sourcing, yarn and fabric processing, garment assembly, packaging, and distribution
• Assessment Type: Social Life Cycle Assessment
• Stakeholder Perspective: Workers, local community, value chain actors, society, and consumers
• Assessment Basis: Indicator-based semi-quantitative scoring model

Business Context

The illustrative organization wanted to understand its social risk exposure across the supply chain, especially in relation to worker welfare, gender conditions, supplier governance, and community impacts. Management required a structured way to move beyond isolated audits toward a broader lifecycle-based social performance view.

In this scenario, the company had some social compliance information available at Tier 1, but limited visibility beyond direct production. As a result, decision-makers lacked an integrated view of where the most material social hotspots existed and which actions would likely deliver the highest improvement potential.

DEISO Technical Approach

DEISO’s Social Life Cycle Assessment methodology for this type of case includes:

• Definition of system boundaries and lifecycle stages
• Identification of relevant stakeholder categories
• Selection of social themes and indicators
• Indicator scoring using structured assessment criteria
• Weighting and aggregation into stakeholder and lifecycle-level results
• Hotspot interpretation and improvement scenario modeling

Illustrative Results Summary

Overall Social Performance

• Overall social performance index: 63 / 100
• Modeled advanced improvement scenario: 82 / 100
• Highest-risk stakeholder group: Workers
• Highest-risk lifecycle stage: Tier 1 garment assembly

Main Social Hotspots

The assessment identified six dominant hotspots: wage adequacy gaps, excessive overtime risk, weak grievance accessibility, incomplete gender equity in supervisory positions, supplier pressure caused by short lead times, and inconsistent community engagement mechanisms.

Stakeholder Interpretation

Workers

Worker-related indicators were the most material in the assessment. Wage alignment against living wage references, working hours during peak production cycles, health and safety maturity, and trust in grievance channels were the primary issues affecting performance. Although formal compliance systems existed, performance remained uneven in practice.

Local Community

Community impacts were moderate but important. Positive contributions through local employment were partially offset by traffic burden, site-related nuisance, and limited structure in community dialogue. The results suggest that stronger engagement systems would improve both legitimacy and local trust.

Value Chain Actors

Supplier-facing conditions indicated reasonably mature governance, but purchasing practices still created stress within the chain. Short lead times, cost pressure, and uneven monitoring beyond Tier 1 limited the strength of supplier social performance control.

Society and Consumers

Society- and consumer-level indicators performed better than worker-level indicators. Anti-corruption controls, compliance structure, and product information transparency were relatively strong. However, these stronger areas did not offset the more material risks embedded in labor conditions and operational practice.

Strategic Implications

This illustrative S-LCA shows that social performance cannot be managed effectively through isolated audits alone. A lifecycle-based model helps organizations connect worker welfare, supplier behavior, governance structure, and community relations into one coherent assessment framework.

The findings also show that the most material social issues are often shaped not only by site-level controls, but also by commercial planning, purchasing practices, leadership systems, and the accessibility of remedy mechanisms. For this reason, social improvement strategy must be linked to management systems, supplier engagement, and operational planning.

Illustrative Improvement Pathways

• Develop a staged living wage improvement program
• Reduce excessive overtime through production planning reform
• Redesign worker grievance channels for confidentiality and trust
• Strengthen incident reporting, safety training, and PPE management
• Increase women’s participation in line supervision and middle management
• Implement a formal community communication and response protocol
• Align procurement and lead-time decisions with supplier social performance objectives

Under the modeled improvement scenario, the overall social performance index increased from 63 to 82, indicating that targeted reforms in wages, working hours, grievance systems, and governance could materially improve supply-chain social outcomes.

Conclusion

This illustrative case demonstrates how Social Life Cycle Assessment can support a more advanced understanding of supply-chain social performance. By structuring indicators around stakeholder groups and lifecycle stages, DEISO helps organizations move from fragmented compliance observations toward a more strategic, evidence-based social performance framework.

For organizations operating in socially sensitive supply chains, S-LCA can become a powerful tool for prioritization, governance strengthening, disclosure readiness, and more credible sustainability strategy development.