Short answer

When designing closed-loop supply chains, evaluate the potential impact of information asymmetry on all stakeholders and consider how collection strategies can be leveraged to manage this uncertainty and optimize overall system performance.

Field
Resource Management
Source
Flexible Services and Manufacturing Journal (2023)
Method
Game-theoretic modeling and simulation
Evidence
Moderate effect

In a two-period closed-loop supply chain, a manufacturer's profitability can be positively or negatively impacted by private information regarding product returns, with the retailer's collection strategy playing a crucial role. This resource management research insight is drawn from a 2023 study published in Flexible Services and Manufacturing Journal. Using Game-theoretic modeling and simulation, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing closed-loop supply chains, evaluate the potential impact of information asymmetry on all stakeholders and consider how collection strategies can be leveraged to manage this uncertainty and optimize overall system performance.

Study
Resource ManagementRecentModerate effect

Information asymmetry in closed-loop supply chains can benefit manufacturers depending on return rates.

In a two-period closed-loop supply chain, a manufacturer's profitability can be positively or negatively impacted by private information regarding product returns, with the retailer's collection strategy playing a crucial role.

Flexible Services and Manufacturing Journal · 2023

01

Key Findings

  • 01The presence of private information can be either beneficial or detrimental to the manufacturer, depending on the actual return rate.
  • 02The retailer, acting as a Stackelberg leader, generally prefers manufacturer-led collection, even with transfer payments, due to its ability to mitigate information disadvantages over the planning period.
02

Application

Design takeaway

When designing closed-loop supply chains, evaluate the potential impact of information asymmetry on all stakeholders and consider how collection strategies can be leveraged to manage this uncertainty and optimize overall system performance.

How to apply

When designing a product return system, analyze the potential information advantages or disadvantages for each party involved and model the impact of different collection strategies on profitability.

Project actions

  • 01Consider how information is shared between different actors in your design project.
  • 02Explore how different collection or return strategies might impact the overall efficiency and cost of your design.
03

Method & Evidence

AimTo investigate how information asymmetry in product return rates within a two-period closed-loop supply chain affects the strategic decisions and profitability of manufacturers and retailers.
MethodGame-theoretic modeling and simulation
ProcedureA two-period game-theoretic model was developed to analyze scenarios with symmetric and asymmetric information regarding product return rates. The model compared different collection modes (retailer-led vs. direct-to-manufacturer) and a vertically integrated benchmark case.
ContextClosed-loop supply chain management, manufacturing, product returns, sustainability

Variables

IV["Information asymmetry (symmetric vs. asymmetric)","Collection mode (retailer-led vs. direct-to-manufacturer)"]
DV["Manufacturer's profit","Retailer's profit","Overall supply chain efficiency"]
CV["Two-period game structure","Random return rate","Stackelberg leadership of the retailer"]
04

Strengths & Limitations

Strengths

  • +Addresses the under-researched area of information asymmetry in closed-loop supply chains.
  • +Compares different collection modes and integrates them into a game-theoretic framework.

Limitations

Real-world supply chains involve more than two periods and a wider range of uncertainties than modeled here.

Reliability & validity

The validity of the findings relies on the assumptions of the game-theoretic model and the accuracy of the simulation parameters. Reliability would be assessed by repeating the simulations with different parameter sets.

Think critically

How might the findings of this study change if the product return rate was not random but predictable, or if there were multiple periods of interaction?

05

Design Principles

"Information transparency and strategic collection partnerships are key to optimizing profitability in closed-loop supply chains under uncertainty."

This research highlights the complex interplay between information flow, collection strategies, and profitability in sustainable supply chains. Designers and supply chain managers must consider how information asymmetry can influence decision-making and overall system efficiency when designing or optimizing product return and remanufacturing processes.

06

What This Means for Your Design

This study shows that in a system where products are collected and reused, who knows how many products will be returned can change how much money the company makes. Sometimes, knowing more helps the manufacturer, and sometimes it hurts them. The retailer often benefits from the manufacturer collecting the returns.

How to use in your project

  • 1.Reference this study when discussing the strategic implications of information flow and collection logistics in your design project's supply chain analysis.
07

Add to My Project

08

Quick Cite

Paragraph starter

Research indicates that in closed-loop supply chains, information asymmetry regarding product return rates can significantly impact manufacturer profitability, with the retailer's collection strategy playing a pivotal role in mitigating these effects and influencing overall system dynamics.

09

Source

Flexible Services and Manufacturing Journal

Pricing decisions in a two-period closed-loop supply chain game under asymmetric information and uncertainty

journal · 2023

View source

Questions About This Research

What does the research say about information asymmetry in closed-loop supply chains can benefit manufacturers depending on return rates?
When designing closed-loop supply chains, evaluate the potential impact of information asymmetry on all stakeholders and consider how collection strategies can be leveraged to manage this uncertainty and optimize overall system performance. Evidence: Flexible Services and Manufacturing Journal (2023).
Why does "Information asymmetry in closed-loop supply chains can benefit manufacturers depending on return rates." matter for design?
This research highlights the complex interplay between information flow, collection strategies, and profitability in sustainable supply chains. Designers and supply chain managers must consider how information asymmetry can influence decision-making and overall system efficiency when designing or optimizing product return and remanufacturing processes.
How can designers apply this research?
When designing closed-loop supply chains, evaluate the potential impact of information asymmetry on all stakeholders and consider how collection strategies can be leveraged to manage this uncertainty and optimize overall system performance.
What were the main findings?
The presence of private information can be either beneficial or detrimental to the manufacturer, depending on the actual return rate.. The retailer, acting as a Stackelberg leader, generally prefers manufacturer-led collection, even with transfer payments, due to its ability to mitigate information disadvantages over the planning period.
What research method was used?
Game-theoretic modeling and simulation.
How strong is the evidence?
Evidence strength is rated Moderate effect, based on a 2023 journal from Flexible Services and Manufacturing Journal.
What should I do differently in my next project?
When designing a product return system, analyze the potential information advantages or disadvantages for each party involved and model the impact of different collection strategies on profitability.
What are the limitations?
The model assumes a two-period horizon and specific game-theoretic assumptions, which may not fully capture the complexities of real-world, multi-period supply chains with more diverse return dynamics.