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Erratum: Green supply chain performance measurement using the analytic hierarchy process: A comparative analysis of manufacturing organisations (Production Planning and Control (2014) 25:9 DOI: 10.1080/09537287.2012.751186)

  • Prasanta Kumar Dey
  • , Walid Cheffi*
  • , Breno Nunes
  • *Corresponding author for this work

Research output: Contribution to journalComment/debate

1 Scopus citations
Original languageEnglish
Pages (from-to)i
JournalProduction Planning and Control
Volume25
Issue number9
DOIs
StatePublished - 1 Jul 2014
Externally publishedYes

Bibliographical note

Funding Information:
Breno Nunes is a lecturer in Operations Management at Aston Business School, Aston University, UK, where he teaches International Operations, Project Management and Sustainability courses. He holds both a Bachelor’s and a Master’s degree in Production Engineering from Federal University of Rio Grande do Norte (Brazil). He has been awarded a PhD degree in Management from Aston Business School. His PhD research project, which was focused on green operations management, received the award ‘The Best Research Project of the Year’ by International Association for Management of Tech-nology (IAMOT) in 2012. His main research interests include sustainability, technology and operations management and strategic decision-making. He has been principal investigator in projects funded by the Brazilian Government (CAPES/CNpQ), Alban (the European Union Programme of High Level Scholarships for Latin America) and research assistant in a project funded by the British Council. His research projects investigated a number of world-class organisations operating in several countries such as USA, Brazil, UK, Germany, Sweden and Thailand.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

ASJC Scopus subject areas

  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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