Short answer

Integrate end-of-life forecasting into product strategy to proactively plan for resource recovery and capitalize on circular economy opportunities.

Field
Resource Management
Source
Sustainability (2023)
Method
Quantitative forecasting and estimation
Evidence
Strong effect

Accurate forecasting of waste mobile phone quantities, considering product lifecycles and sales data, is crucial for identifying significant recovery opportunities within the circular economy. This resource management research insight is drawn from a 2023 study published in Sustainability. Using Quantitative forecasting and estimation, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate end-of-life forecasting into product strategy to proactively plan for resource recovery and capitalize on circular economy opportunities.

Study
Resource ManagementRecentStrong effect

Forecasting 11.5 Million Waste Mobile Phones in Turkey by 2035 Offers $52 Million Recovery Potential

Accurate forecasting of waste mobile phone quantities, considering product lifecycles and sales data, is crucial for identifying significant recovery opportunities within the circular economy.

Sustainability · 2023

01

Key Findings

  • 01Waste mobile phone (WMP) quantity in Turkey is projected to reach approximately 11.5 million units by 2035.
  • 02The estimated revenue potential from recovering materials in these WMPs is approximately 52 million US dollars by 2035.
  • 03Holt's Method was found to be the most effective time series model for forecasting WMP quantities in the study's context.
02

Application

Design takeaway

Integrate end-of-life forecasting into product strategy to proactively plan for resource recovery and capitalize on circular economy opportunities.

How to apply

Use historical sales data and estimated product lifespans to forecast the volume of end-of-life products for a specific region or market segment. Employ time series analysis techniques like Holt's Method or ARIMA to project future waste quantities and assess potential material recovery value.

Project actions

  • 01When forecasting, clearly state your assumptions about product lifespans and sales trends.
  • 02Consider the economic viability of recovering different materials from waste products.
03

Method & Evidence

AimTo develop a robust model for forecasting waste mobile phone quantities and their associated revenue potential in Turkey from 2001 to 2035.
MethodQuantitative forecasting and estimation
ProcedureThe study employed the Distribution Delay (DD) Method to estimate waste mobile phone generation based on sales and dynamic lifespans from 2001-2020. Seven time series models were evaluated to select the most suitable for future projections, with Holt's Method identified as optimal for forecasting WMP quantities from 2021-2035. Material recovery and revenue potentials were also estimated.
ContextWaste electrical and electronic equipment (WEEE) management, Circular Economy, Mobile phone industry, National-level forecasting

Variables

IVHistorical sales data, Product lifespan
DVWaste mobile phone quantity, Revenue potential
CVTime period (years), Forecasting model used
04

Strengths & Limitations

Strengths

  • +Provides a holistic approach to forecasting waste generation and its economic potential.
  • +Utilizes established methods (DD Method, Holt's Method) for estimation and forecasting.

Limitations

It can be difficult to find accurate historical sales data or to precisely estimate average product lifespans, as these can vary significantly.

Reliability & validity

The reliability of the forecast depends on the consistency of the chosen forecasting model (Holt's Method) and the quality of the input data. Validity is supported by the comprehensive approach of considering sales, lifespans, and end-of-life stages.

Think critically

How might rapid technological advancements or changes in consumer behaviour alter the accuracy of these waste generation forecasts?

05

Design Principles

"Design for Disassembly and Recovery: Products should be designed with their end-of-life in mind, prioritizing ease of disassembly and the recovery of valuable materials and components."

Understanding the volume and value of end-of-life products allows designers and businesses to strategically plan for material recovery, remanufacturing, and recycling processes. This proactive approach can unlock substantial economic benefits and reduce reliance on virgin resources.

06

What This Means for Your Design

We can predict how many old phones will become waste in the future, which helps us figure out how much valuable stuff we can get back from them.

How to use in your project

  • 1.Use the forecasting methodology to predict the volume of waste generated by a product you are designing or analyzing.
  • 2.Quantify the potential value of recovered materials to support your design decisions.
07

Add to My Project

08

Quick Cite

Paragraph starter

This research highlights the importance of forecasting waste generation to inform circular economy strategies. By analyzing historical sales and product lifecycles, it's possible to predict future waste volumes and identify significant recovery potential, as demonstrated by the projection of 11.5 million waste mobile phones in Turkey by 2035, with an estimated revenue of $52 million.

09

Source

Sustainability

Forecasting Waste Mobile Phone (WMP) Quantity and Evaluating the Potential Contribution to the Circular Economy: A Case Study of Turkey

journal · 2023

View source

Questions About This Research

What does the research say about forecasting 11.5 million waste mobile phones in turkey by 2035 offers $52 million recovery potential?
Integrate end-of-life forecasting into product strategy to proactively plan for resource recovery and capitalize on circular economy opportunities. Evidence: Sustainability (2023).
Why does "Forecasting 11.5 Million Waste Mobile Phones in Turkey by 2035 Offers $52 Million Recovery Potential" matter for design?
Understanding the volume and value of end-of-life products allows designers and businesses to strategically plan for material recovery, remanufacturing, and recycling processes. This proactive approach can unlock substantial economic benefits and reduce reliance on virgin resources.
How can designers apply this research?
Integrate end-of-life forecasting into product strategy to proactively plan for resource recovery and capitalize on circular economy opportunities.
What were the main findings?
Waste mobile phone (WMP) quantity in Turkey is projected to reach approximately 11.5 million units by 2035.. The estimated revenue potential from recovering materials in these WMPs is approximately 52 million US dollars by 2035.. Holt's Method was found to be the most effective time series model for forecasting WMP quantities in the study's context.
What research method was used?
Quantitative forecasting and estimation.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2023 journal from Sustainability.
What should I do differently in my next project?
Use historical sales data and estimated product lifespans to forecast the volume of end-of-life products for a specific region or market segment. Employ time series analysis techniques like Holt's Method or ARIMA to project future waste quantities and assess potential material recovery value.
What are the limitations?
The accuracy of forecasts is dependent on the quality and availability of historical sales and lifespan data, and future market trends or technological shifts could impact actual waste generation.