Information-based quality management in reverse logistics supply chain

Abstract

Purpose The purpose of this paper is to explore the synergies among reverse logistics supply chain (RLSC), quality management (QM) and information management (IM) concepts to enhance the effectiveness of demolition waste management (DWM) practices. Design/methodology/approach A systematic literature review was conducted using 70 articles published between the years of 2006 and 2017, which were subjected to descriptive and thematic analysis. Findings The descriptive analysis established that the RLSC concept was dealt within the majority of the publications (61 per cent), followed by concepts related to quality in RLSC (24 per cent). Only 14 per cent of the articles were based on IM concepts related to RLSC. Quality and information are interrelated in the effective implementation of RLSC. The thematic analysis demonstrated that there is a need for using quality parameters in a regulatory environment in an information-based environment. Based on the findings, future research directions were developed. Research limitations/implications The study encourages researchers to identify novel directions by combining these three concepts. The study developed a future research agenda regarding use of building information modelling (BIM) for existing buildings under novel technologies; analysis of secondary market demand and supply; and assessment of cost and safety management with quality in a BIM-enabled environment. Practical implications The practical implications include the application of sustainable management principles based on stakeholders and the regulatory environment. Originality/value Integration of the three concepts is an emerging area. This integration developed a robust approach to achieve QM in RLSC operations under a sound information flow enabling the optimisation of DWM.

Quality assurance in reverse logistics supply chain of demolition waste: A systematic literature review

“…Amid the previous SLRs, the findings of the review by Jayasinghe et al (2019b) are, to some extent, related to the present study. Similar to the current study, the SLR by Jayasinghe et al (2019b) underlined IM as the basis for QM in RLSC.…”

“…There are 86 journal articles, four conference papers and one book chapter. The majority of the articles were published in journals such as Resources, Conservation & Recycling (11), Waste Management (11) and Journal of Cleaner Production (9), which is far more similar to the findings of SLRs on RLSC of DW by Jayasinghe et al (2019aJayasinghe et al ( , 2019b. All conference papers are also from proceedings of peer-reviewed international conferences.…”

Modelling Internet of things (IoT)-driven global sustainability in multi-tier agri-food supply chain under natural epidemic outbreaks

“…Top management support (C3) is the second important caused group and classified into an independent variable. It may provide proper training to lower supplier, mainly responsible for sustainable issues about awareness on global environmental regulations and standards, pollutants reducing by following ISO14000 series (Jayasinghe et al 2019 ).…”

Modelling Internet of Things (IoT) driven global sustainability in multi-tier agri-food supply chain under natural epidemic outbreaks

“…Top management support (C3) is the second important caused group and classified into independent variable. It may provide proper training to lower supplier, mainly responsible for sustainable issues about awareness on global environmental regulations and standards, pollutants reducing by following ISO14000 series (Jayasinghe et al, 2019).…”