By the same authors

From the same journal

A review of methods and data to determine raw material criticality

Research output: Contribution to journalArticle

Author(s)

  • Alessandra Hool
  • Dieuwertje Schrijvers
  • Gian Andrea Blengini
  • Wei-Qiang Chen
  • Jo Dewulf
  • Roderick Eggert
  • Layla van Ellen
  • Roland Gauss
  • James Goddin
  • Komal Habib
  • Christian Hagelüken
  • Margarethe Hofmann-Amtenbrink
  • Jan Kosmol
  • Maïté Le Gleuher
  • Milan Grohol
  • Anthony Ku
  • Min-Ha Lee
  • Gang Liu
  • Keisuke Nansai
  • Philip Nuss
  • David Peck
  • Armin Reller
  • Guido Sonnemann
  • Luis Tercero
  • Andrea Thorenz
  • Patrick Wäger

Department/unit(s)

Publication details

JournalResources, Conservation and Recycling
DateAccepted/In press - 27 Oct 2019
DateE-pub ahead of print (current) - 9 Nov 2019
Early online date9/11/19
Original languageEnglish

Abstract

The assessment of the criticality of raw materials allows the identification of the likelihood of a supply disruption of a material and the vulnerability of a system (e.g. a national economy, technology, or company) to this disruption. Inconclusive outcomes of various studies suggest that criticality assessments would benefit from the identification of best practices. To prepare the field for such guidance, this paper aims to clarify the mechanisms that affect methodological choices which influence the results of a study. This is achieved via literature review and round table discussions among international experts. The paper demonstrates that criticality studies are divergent in the system under study, the anticipated risk, the purpose of the study, and material selection. These differences in goal and scope naturally result in different choices regarding indicator selection, the required level of aggregation as well as the subsequent choice of aggregation method, and the need for a threshold value. However, this link is often weak, which suggests a lack of understanding of cause-and-effect mechanisms of indicators and outcomes. Data availability is a key factor that limits the evaluation of criticality. Furthermore, data quality, including both data uncertainty and data representativeness, is rarely addressed in the interpretation and communication of results. Clear guidance in the formulation of goals and scopes of criticality studies, the selection of adequate indicators and aggregation methods, and the interpretation of the outcomes, are important initial steps in improving the quality of criticality assessments.

Bibliographical note

© 2019 Published by Elsevier B.V.

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