A water footprint review of Italian wine: Drivers, barriers, and practices for sustainable stewardship

Wine constitutes the dominant Italian agricultural product with respect to both production quantity and economic value. Italy is the top wine producer worldwide in terms of volume and the second one below France in terms of national income. As the Italian agricultural production accounts for 85% of the national freshwater appropriation, the country’s agricultural sector strains freshwater resources, especially in the central and southern regions, which constitute important winemaking areas in terms of quantity and quality. To this end, we first perform a review of the existing research efforts on wine water footprint assessment to investigate the water dynamics of wine production in Italy compared to the rest of the world. The results indicate a prevalence of studies on the water footprint of Italian wine, emphasising the need for deeper research on the sector’s water efficiency. Then, we aim at exploring the major drivers, barriers, and good practises for systematic water stewardship in the Italian winemaking industry, considering the product and territorial characteristics. This research is anticipated to contribute towards providing insights for practitioners in the Italian wine sector to develop water-friendly corporate schemes for enhancing the added value of their products.</jats:p

Blue water footprint management in a UK poultry supply chain under environmental regulatory constraints

Chicken is the most consumed meat in the UK, accounting for 40% of meat consumption, while national production sufficiency reaches about 80%. As a farm animal product, chicken meat is responsible for significant freshwater appropriation volumes during its production cycle. In this context, this research aims at exploring freshwater dynamics in the UK processed poultry industry. Specifically, we develop a System Dynamics model to capture the blue water footprint, as key sustainability performance indicator of a poultry supply chain, in case relevant environmental and regulatory constraints are applied. The model contributes towards investigating the impact of two potential policy-making scenarios, namely the "water penalty" and the "water tax", on the nexus between profitability and water usage across the poultry supply chain. Responding to the regulatory constraints, the food processor either reconfigures the supply chain through rethinking desired inventory levels or implements a water management intervention. The results indicate that investing in water-friendly production technologies could offer a greater advantage to sustainable supply chains in terms of blue water efficiency and profitability compared to employing inventory management strategies. Overall, our analysis highlights that effective policy-making and technology-driven interventions could provide potential towards ensuring economic growth and environmental sustainability of the UK poultry sector

Digital technologies towards resource efficiency in the agrifood sector: Key challenges in developing countries

Resource efficiency in the agri-food sector is a global urgent issue considering the urbanisation phenomena, the increased nutritional needs, and the emergence of diversified dietary norms. Despite the ongoing progress in digital technologies that could enable resource-efficient operations in the sector, their effectiveness—even in developed countries—remains debateable mainly due to the limited understanding that further impedes their adoption by farmers. Among others, ease of access, training, and engagement with digital technologies appears to be challenging for most stakeholders, especially during the production (farming) stage. Specifically, in developing countries, that often encounter major natural resources challenges, the diverse socio-cultural background of the farmers hinders the adoption of digital technologies to perform highly automated and efficient agricultural operations for ensuring sustainability output. In this regard, we explore publicly available data sources (i.e., institutional reports, databases) to identify key challenges in adopting digital technologies for efficient resource use from a systems-level perspective. Thereafter, we map the determinant factors using the System Dynamics methodology in order to identify areas of interventions to limit natural resources’ appropriation and support agri-food sustainability.This research has received funding from the BBSRC under Reference No. BB/P027970/1, Project Title: “Transforming India’s Green Revolution by Research and Empowerment for Sustainable food Supplies”

Developing distributed manufacturing strategies from the perspective of a product-process matrix

In today’s highly competitive global business landscape, customers demand personalised products and responsive distribution systems, hence fuelling the concept of Distributed Manufacturing (DM) as a paradigm that suggests the geographical distribution of manufacturing systems adjacent to the markets to enable ‘production on demand’. To this end, the objective of this research is to explore the DM concept to inform firms about the dynamically changing manufacturing environment, along with the emerging opportunities, and support business stakeholders in implementing DM-oriented strategies to achieve digitalisation, personalisation, and localisation. More specifically, the present research builds upon the Dynamic Capability Theory (DCT) and conducts semi-structured interviews with a panel of 16 experts from the Fast-Moving Consumer Goods, Automotive, and Engineering industries to develop 12 exploratory industry cases. Our analysis highlights that companies can adopt three strategies to implement DM and realise shorter lead times and personalised product offerings, namely: (i) small-scale DM; (ii) in-house decoupled manufacturing; and (iii) outsourced decoupled manufacturing. However, the economic viability of the DM concept is identified as a significant barrier to relinquish the traditional centralised economies-of-scale. This research contributes by applying the DCT to the DM concept to advocate the viability and sustainability of manufacturing systems in the era of Industry 4.0. Pertaining to the originality of this research, limited work is available on the applicability of DM in industries, from the DCT perspective, to accomplish competitive advantages in the dynamic environment of manufacturing.his research has received funding from the EPSRC under Reference No. EP/K02888X/1, Project Title: “Engineering Driven Sustainable Supply Networks – A UK/India Collaborative Study”

The emerging role of water footprint in supply chain management: A critical literature synthesis and a hierarchical decision-making framework

Freshwater overexploitation and scarcity have led to extensive shifts in demand patterns for water-friendly products. As several agricultural and industrial activities are closely intertwined with water consumption, the availability of sufficient freshwater resources constitutes a significant precondition for covering global consumer needs. In this context, the design and management of sustainable supply chains in terms of freshwater resources' preservation have emerged as major challenges in the corporate agenda. As such, the concept of water footprint as a key performance indicator of freshwater utilization has been introduced at national, corporate and product levels. In this manuscript, we first provide a critical literature synthesis concerning product water footprint assessment in order to map the state-of-the-art research related to freshwater consumption and pollution in the agricultural and industrial sectors. Our analysis demonstrates that although water footprint assessment is a rapidly evolving research field, scientific publications focusing on a holistic approach concerning freshwater exploitation at a supply chain extent are rather limited. The findings further verify that the agrifood sector dominates global water use. In this respect, we analyse both corporate and academic literature in order to identify emerging issues on freshwater resources' management for agrifood products. Finally, we propose a first-effort hierarchical decision-making framework that includes water footprint mitigation policies for agrifood supply chains in order to support all stakeholders in developing a comprehensive water stewardship strategy.Public Benefit Foundation Alexander S. Onassis, European Community 7th Framework Programme (FP7-REGPOT- 2012-2013-1) GREEN-AgriChains project (Grant ID: 316167

Sustainable supply chain management in the digitalisation era: The impact of Automated Guided Vehicles

Internationalization of markets and climate change introduce multifaceted challenges for modern supply chain (SC) management in the today's digitalisation era. On the other hand, Automated Guided Vehicle (AGV) systems have reached an age of maturity that allows for their utilization towards tackling dynamic market conditions and aligning SC management focus with sustainability considerations. However, extant research only myopically tackles the sustainability potential of AGVs, focusing more on addressing network optimization problems and less on developing integrated and systematic methodological approaches for promoting economic, environmental and social sustainability. To that end, the present study provides a critical taxonomy of key decisions for facilitating the adoption of AGV systems into SC design and planning, as these are mapped on the relevant strategic, tactical and operational levels of the natural hierarchy. We then propose the Sustainable Supply Chain Cube (S2C2), a conceptual tool that integrates sustainable SC management with the proposed hierarchical decision-making framework for AGVs. Market opportunities and the potential of integrating AGVs into a SC context with the use of the S2C2 tool are further discussed

Modifying catalytically the soot morphology and nanostructure in diesel exhaust: Influence of silver De-NOx catalyst (Ag/Al2O3)

The influence of an Ag/Al2O3 HC-SCR catalyst on the morphological and nanostructural aspects of the exhaust particulate matter (PM) generated during the combustion of diesel fuel and a glycol ether–diesel fuel blend was addressed in this research work. In addition, the impact of in-cylinder fuel post injections (FPI) on the particulate formation pathway and on the catalytic de-NOx efficiency was also studied. The tests were carried at low exhaust temperatures in the absence and presence of small amounts of hydrogen (H2). It is concluded that in the absence of H2, the catalyst does not modify the primary particle size (dp0) of the soot aggregates, while the aggregation of the soot particles throughout the catalyst channels is the main governing mechanism. The catalyst influence on the particulate structure was evident when H2 was introduced, with smaller dp0 seen downstream of the catalyst, indicating that despite the short residence time of the PM within the catalyst bed, the soot particles were partially oxidised. The use of late FPI reduces the exhaust PM level and delivers sufficient HC:NOx ratios that improves the catalyst activity up to a maximum of 80% NOx conversion, with no sign of catalyst deactivation when H2 (500 ppm) was injected. Furthermore, it is suggested that along with oxidising part of the particles produced during the main fuel injection phase, late FPI can also produce, to a lesser extent, some additional soot with a less matured structure, resulting on average in less ordered particles being emitted into the exhaust stream. This work shows that in modern diesel engines, a silver catalyst can alter the soot structure in the exhaust in a way that can ease the diesel particulate filter (DPF) regeneration cycles, improve its filtration efficiency and help in effectively reducing the tailpipe NOx emissions. For the catalyst to perform these functions, multiple in-cylinder fuel injection strategies (late FPI) combined with small amounts of hydrogen addition to the exhaust are required

Mobile robotics in agricultural operations: A narrative review on planning aspects

The advent of mobile robots in agriculture has signaled a digital transformation with new automation technologies optimize a range of labor-intensive, resources-demanding, and time-consuming agri-field operations. To that end a generally accepted technical lexicon for mobile robots is lacking as pertinent terms are often used interchangeably. This creates confusion among research and practice stakeholders. In addition, a consistent definition of planning attributes in automated agricultural operations is still missing as relevant research is sparse. In this regard, a “narrative” review was adopted (1) to provide the basic terminology over technical aspects of mobile robots used in autonomous operations and (2) assess fundamental planning aspects of mobile robots in agricultural environments. Based on the synthesized evidence from extant studies, seven planning attributes have been included: (i) high-level control-specific attributes, which include reasoning architecture, the world model, and planning level, (ii) operation-specific attributes, which include locomotion–task connection and capacity constraints, and (iii) physical robot-specific attributes, which include vehicle configuration and vehicle kinematics.</jats:p