Supply Chain Performance: return logistics management of fast-moving consumer goods
2024 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]
Purpose
Performance is widely used to describe the success of commercial supply chain profitability (SCP), capturing novel markets and addressing diverse and evolving customer needs. New customer offers and services have resulted in a higher rate of product returns (PR) from consumers. However, return logistics management (RLM) has not been adequately addressed. As a result, this study aims to explore the various performance areas within the supply chain, specifically those related to PR in the fast-moving consumer goods (FMCG) sector, and how they impact supply chain RLM operations.
Design/methodology/approach
This study focuses on FMCGs. The study adopts an inductive approach to qualitative data from companies. We collect and analyse interviews from Swedish companies and secondary data to describe supply chain performance and how it is affected by the PRs in the FMCG current sector through the impact on RLM in an observed case company.
Findings
We show some of the main problems and impacts on the performance of the supply chain through problems created for RLM when product returns are not managed adequately. The study identified that several PR drivers, namely quality, contractual, customer service, and legislation, are imposing challenges that impact the RLM and the SCP of the current FMCG sector.
Research limitations/implications
The study shows how problems can arise in RLM and their likely effects; however, exact performance effects are not demonstrated.
Original/value
The paper contributes to understanding supply chain performance in an RLM context.
Place, publisher, year, edition, pages
2024.
Keywords [en]
Supply Chain Performance, Return Logistics Management, Product Returns, Fast-Moving Consumer Goods
National Category
Business Administration Production Engineering, Human Work Science and Ergonomics
Research subject
Work-Integrated Learning; Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-22846OAI: oai:DiVA.org:hv-22846DiVA, id: diva2:1924034
Conference
36th Annual NOFOMA Conference 12-14 June, 2024, Stockholm, Sweden
2025-01-022025-01-022025-09-30