Smart waste management 4.0: The transition from a systematic review to an integrated framework.

Devika Kannan, Shakiba Khademolqorani, Nassibeh Janatyan, Somaieh Alavi
Author Information
  1. Devika Kannan: Center for Sustainable Operations and Resilient Supply Chain, Institute for Sustainability, Energy and Resources and Adelaide Business School, University of Adelaide, Nexus 10, 10 Pulteney Street, Adelaide, SA 5005, Australia; Center for Sustainable Supply Chain Engineering, Department of Technology and Innovation, University of Southern Denmark, Campusvej 55, Odense M, Denmark; School of Business, Woxsen University, Sadasivpet, Telangana, India. Electronic address: deka@iti.sdu.dk.
  2. Shakiba Khademolqorani: Department of Industrial Engineering, Sheikh Bahaei University, Isfahan, Iran.
  3. Nassibeh Janatyan: E-learning center, Department of Industrial Engineering and Management, K.N. Toosi University, Tehran, Iran.
  4. Somaieh Alavi: Department of Industrial Engineering, Shahid Ashrafi Esfahani University, Isfahan, Iran.

Abstract

Smart Waste Management (SWM) discusses the waste management process for different types of waste while introducing an intelligent approach to controlling the amount of waste. This paper introduces SWM4.0, which applies Industry4.0 (I4.0) technologies in various related events. First, the paper presents a systematic literature review on the role of I4.0 technologies in SWM activities regarding waste types, waste management processes, and 5R strategies. Then, existing solutions supporting SWM4.0 are extracted to develop a framework for exploring the use of I4.0 technologies. This framework includes sharing the four main pillars that contribute to the success of SWM4.0, namely smart people, smart cities, smart enterprises, and smart factories. Furthermore, this review suggests the possibility of unifying and extending existing solutions and identifying the necessary links and interfaces for researchers. For managerial implications, the framework identifies future strategies to fulfill specific SWM tasks and to foster new technological solutions for future research.

Keywords

MeSH Term

Humans
Waste Management
Cities
Technology

Word Cloud

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