https://minerva-access.unimelb.edu.au/bitstream/handle/11343/194165/pagination_JCLP_10968.pdf

Hybrid life cycle inventory methods – A review

Hybrid life cycle assessment of greenhouse gas emissions from cement, concrete and geopolymer concrete in Australia

Life cycle assessment and life cycle cost analysis of recycled solid waste materials in highway pavement: A review

Green manufacturing drivers and their relationships for small and medium(SME) and large industries

On the estimation of potential food waste reduction to support sustainable production and consumption policies

Review on life cycle inventory: methods, examples and applications

Food traceability: A generic theoretical framework

Energy management strategy for industries integrating small scale waste-to-energy and energy storage system under variable electricity pricing

The environmental impact is one of the major pillars of concerns when addressing the sustainability of food supply chain. In life cycle assessment of food supply chain, a particular environmental impact category from farming to distribution is aggregated. These values are widely used in determining which supply chain is performing more environmentally sound on the basis of a particular impact category. However, when different categories of environmental impacts are represented in one matrix, different impact categories can exhibit increasing and decreasing trends simultaneously for the same product. Moreover, different impact categories have different units of measurement. All of these factors make it difficult to clearly prefer one supply chain to the other. Therefore, a quantifiable indicator is desirable for each individual product which can represent all impact categories for a single product through a single index and can be easily comparable during decision making. This paper presents a new framework to compute a single index based on Life cycle assessment using vector space theory. This index can be utilized to compare the environmental sustainability among various food supply chains. The index is named as green value of a supply chain. The use of this proposed green value is explained through three case studies with different goals, scopes, system boundaries, and functional units. It is also shown that how the order of green value varies by changing the functional unit of the same product. The contribution of green value is the better interpretation of Life cycle assessment result for the purpose of decision making and is easily understandable to customers, manufacturers, policy makers, and other stakeholders.

A novel framework for analyzing the green value of food supply chain based on life cycle assessment

Background Traceability of food products, ingredients and associated operations are important requirements for improving food safety and consumer confidence. Food traceability systems (FTSs) often suffer from inefficiency in either material or information flow within an enterprise or between supply chain partners. Modelling of system architecture is a visualisation approach that allows multiple parties to collaborate in a system design process, identify its inefficiencies and propose improvements. However, there is little academic research on the ability to use a standard visualisation tool that supports collaborative design and considers both material and information flow for a given food traceability system. Scope & approach The aim of this research is to propose a new visualisation approach that allows supply chain operators to collaborate effectively in the design process of FTSs capable of maintaining streamlined information flow, minimising information loss, and improving supply chain performance. Key findings & conclusion Food traceability systems are complex, encompassing processes, material flow, information flow, techniques, infrastructure, people and control strategies. Screening of literature demonstrates that model-based system engineering (MBSE) offers a sound way for visualisation of such complex systems. However, in the food traceability literature, an MBSE-based standardised traceability system modelling approach is absent. This study makes a strong contribution to existing literature by proposing a novel, material and information flow modelling technique (MIFMT), to visualise FTS architecture. MIFMT can support common understanding and iterative implementation of effective FTSs that contextualise food supply chains at multiple levels and provides opportunity to identify points at where inefficiencies can occur so that actions can be taken to mitigate them.

Samantha Islam

Papers

Review on life cycle inventory: methods, examples and applications

Food traceability: A generic theoretical framework

Energy management strategy for industries integrating small scale waste-to-energy and energy storage system under variable electricity pricing

A novel framework for analyzing the green value of food supply chain based on life cycle assessment

Visualising food traceability systems: A novel system architecture for mapping material and information flow