Towards a Circular Economy Calculator for Measuring the “Circularity” of Companies

Measuring circular economy in olive oil mills: A review of circularity indicators and tools

Circularity assessment and monitoring have become a core research topic in academic societies, as well as a basis for developing economic development measures. Despite the circular economy (CE) being a game-changer for the agro-food sector, little effort has been made to identify its level of circularity. In order to achieve the transition to a CE, stakeholders and industry professionals must be provided with appropriate indicators, tools and methods. Due to the complexity of CE measurement, it is necessary to devise indicators, methods and tools that are tailored to each industry. The objective of this review article is to identify the indicators and tools required for assessing the level of circularity in olive oil mills. This research collected data regarding available CE indicators at the company and product levels, as well as those applicable to the agro-food industry. As a result, a list of indicators appropriate to the needs of olive mills has been developed that could be used to measure the level of implementation of circular practices in this industry. The main conclusion reached is that once indicators are defined, they should be compared or combined with life cycle assessment methodologies to determine their applicability and effectiveness. There is no doubt that olive oil plays a significant economic, environmental and social role throughout the Mediterranean region. Hence, evaluating the CE is essential to demonstrate the effectiveness of current policies.

Critical success factor analysis of blockchain technology in agri-food supply chain management: A circular economy perspective

In the sustainability system, which gives importance to the availability of resources, recycling, renewal, and reproduction strategies can be handled under the name of the circular economy. While there are many stages to be followed from food production to consumption and even recycling, one of the technologies that will contribute to the circular economy that can take an active role in these stages is blockchain technology. In this study, which is about the circular economy in sustainable supply chain management, the contribution of blockchain technology to agri-food supply chain management is discussed. The aim of the study is to research, analyze and prioritize the critical success factors of the use of blockchain technology for the agri-food sector on the way to the circular economy. As a first step, with the help of PESTEL analysis approach, 12 critical success factors for agri-food supply chain management under the political, economic, social, technological, environmental, and legal dimensions of blockchain technology within the scope of circular economy are determined. Analytic Network Process (ANP) and MultiAtributive Ideal-Real Comparative Analysis (MAIRCA) methods are used in an integrated way to consider the degree of influence between the factors and to determine the ideal optimal factor. In the results, it is determined that the political and technological sub-criteria of blockchain technology is determined, and it is observed that the criteria handled in line with the sustainability system are compatible with the perspective of reducing the waste of resources of the circular economy. If blockchain technology is used in the agri-food sector, it has been determined that it will contribute to the circular economy with the success factors in this study. "Ability to prevent food waste"; "Increased food security"; "Product lifecycle tracking" factors take priority in their ranking.

A systems engineering framework for the optimization of food supply chains under circular economy considerations

The current linear "take-make-waste-extractive" model leads to the depletion of natural resources and environmental degradation. Circular Economy (CE) aims to address these impacts by building supply chains that are restorative, regenerative, and environmentally benign. This can be achieved through the re-utilization of products and materials, the extensive usage of renewable energy sources, and ultimately by closing any open material loops. Such a transition towards environmental, economic and social advancements requires analytical tools for quantitative evaluation of the alternative pathways. Here, we present a novel CE system engineering framework and decision-making tool for the modeling and optimization of food supply chains. First, the alternative pathways for the production of the desired product and the valorization of wastes and by-products are identified. Then, a Resource-Task-Network representation that captures all these pathways is utilized, based on which a mixed-integer linear programming model is developed. This approach allows the holistic modeling and optimization of the entire food supply chain, taking into account any of its special characteristics, potential constraints as well as different objectives. Considering that typically CE introduces multiple, often conflicting objectives, we deploy here a multi-objective optimization strategy for trade-off analysis. A representative case study for the supply chain of coffee is discussed, illustrating the steps and the applicability of the framework. Single and multi-objective optimization formulations under five different coffee-product demand scenarios are presented. The production of instant coffee as the only final product is shown to be the least energy and environmental efficient scenario. On the contrary, the production solely of whole beans sets a hypothetical upper bound on the optimal energy and environmental utilization. In both problems presented, the amount of energy generated is significant due to the utilization of waste generated for the production of excess energy.