Ranking of performance indicators in an Internet of Things (IoT)-based traceability system for the agriculture supply chain (ASC)

Integrity Challenges in Halal Meat Supply Chain: Potential Industry 4.0 Technologies as Catalysts for Resolution

The application of Industry 4.0 technologies in the halal meat supply chain (HMSC) is an emerging but underexplored area. While technologies like 3D printing, AI, AR, metaverse, digital twins, robotics, and big data analytics are widely discussed in food production, their specific use in HMSC lacks comprehensive analysis. These technologies can address challenges such as cross-contamination, fraud, and traceability issues, but few studies have examined their practical implementation, highlighting the need for further empirical research. This review explores how Industry 4.0 technologies enhance efficiency, traceability, and transparency in HMSC and highlights the potential use of AR for real-time product verification, metaverse for virtual inspections, AI and robotics for improving efficiency, compliance, and hygiene, and digital twins for training and product quality monitoring. The review also identified research gaps, particularly the lack of focus on intelligent packaging, in vitro meat, and the 3D printing of halal meat products. The findings stress the need for greater exploration of these technologies in the HMSC, emphasizing their transformative potential in creating a transparent and efficient halal food system. Further research on emerging technologies like 3D printing and in vitro meat is essential, especially regarding their impact on halal standards and sustainability, ensuring future growth.

Exploring the application of ICTs in decarbonizing the agriculture supply chain: A literature review and research agenda

The contemporary agricultural supply chain necessitates the integration of information and communication technologies to effectively mitigate the multifaceted challenges posed by climate change and rising global demand for food products. Furthermore, recent developments in information and communication technologies, such as blockchain, big data analytics, the internet of things, artificial intelligence, cloud computing, etc., have made this transformation possible. Each of these technologies plays a particular role in enabling the agriculture supply chain ecosystem to be intelligent enough to handle today's world's challenges. Thus, this paper reviews the crucial information and communication technologies-enabled agriculture supply chains to understand their potential uses and contemporary developments. The review is supported by 57 research papers from the Scopus database. Five research areas analyze the applications of the technology reviewed in the agriculture supply chain: food safety and traceability, security and information system management, wasting food, supervision and tracking, agricultural businesses and decision-making, and other applications not explicitly related to the agriculture supply chain. The study also emphasizes how information and communication technologies can help agriculture supply chains and promote agriculture supply chain decarbonization. An information and communication technologies application framework for a decarbonized agriculture supply chain is suggested based on the research's findings. The framework identifies the contribution of information and communication technologies to decision-making in agriculture supply chains. The review also offers guidelines to academics, policymakers, and practitioners on managing agriculture supply chains successfully for enhanced agricultural productivity and decarbonization.

A proposed circular-SCOR model for supply chain performance measurement in manufacturing industry during COVID-19

Purpose

COVID-19 is a global event affecting supply chain operations and human health. With COVID-19, many issues in business models, business processes and supply chains, especially in the manufacturing industry, have had to change. The ability to analyze supply chain performances and ensure circularity in supply chains has become one of the factors whose importance has increased rapidly with COVID-19. Therefore, it aims to determine which supply chain performance criteria come to the fore for the company under consideration to accelerate the transformation into high performance and circularity in supply chains.

Design/methodology/approach

In this study, a new circular-SCOR model is proposed, and 17 supply chain performance measurement criteria are prioritized for a manufacturing company in the context of circular economy principles during COVID-19 by using stepwise weight assessment ratio analysis and analytical hierarchy process method, separately.

Findings

As a result, for both methods, in the case study discussed, the demand fulfillment rate is determined as the most prominent criterion in line with the circular economy principles in the COVID-19 period in manufacturing supply chains.

Originality/value

It is expected that this study will contribute to managers and policy makers as it addresses the “new normal” that started after COVID-19 and the criteria to be considered in supply chain performance measurement and emphasizes the need to adopt circular supply chains, especially in manufacturing industries.