Search Results (36)

Wet areas, which are locations in the landscape that consistently retain moisture, and channel networks are important landscape compartments, with key hydrological and ecological functions. Hence, defining their spatial boundaries is an important step towards sustainable watershed management. In catchments of developing countries, wet areas and small order channels of river networks are rarely mapped, although they represent a crucial component of local livelihoods and ecosystems. In this study, topographic attributes generated with a 30 m SRTM DEM were used to map wet areas and stream networks of two tropical catchments in Central Brazil. The topographic attributes for wet areas were the local slope and the slope curvature, and the Topographic Wetness Index (TWI) was used to delineate the stream networks. Threshold values of the selected topographic attributes were calibrated in the Santa Maria catchment, comparing the synthetically generated wet areas and drainage networks with corresponding reference (map) features, and validated in the nearby Santa Maria basin. Drainage network and wet area delineation accuracies were estimated using random basin transects and multi-criteria and confusion matrix methods. The drainage network accuracies were 67.2% and 70.7%, and wet area accuracies were 72.7% and 73.8%, for the Santa Maria and Gama catchments, respectively, being equivalent or higher than previous studies. The mapping errors resulted from model incompleteness, DEM vertical inaccuracy, and cartographic misrepresentation of the reference topographic maps. The study’s novelty is the use of readily available information to map, with simplicity and robustness, wet areas and channel initiation in data-scarce, tropical environments. Full article

Landslides are among the most destructive natural hazards in the Western Ghats region of Kerala, driven by complex interactions between geological, hydrological, and anthropogenic factors. This study aims to generate a high-resolution Landslide Susceptibility Level Map (LSLM) using a machine learning (ML)-based Random Forest (RF) model integrated with Geographic Information Systems (GIS). A total of 231 historical landslide locations obtained from the Bhukosh portal were used as reference data. Eight predictive factors—Stream Order, Drainage Density, Slope, Aspect, Geology, Land Use/Land Cover (LULC), Normalized Difference Vegetation Index (NDVI), and Moisture Stress Index (MSI)—were derived from remote sensing and ancillary datasets, preprocessed, and reclassified for model input. The RF model was trained and validated using a 50:50 split of landslide and non-landslide points, with variable importance values derived to weight each predictive factor of the raster layer in ArcGIS. The resulting Landslide Susceptibility Index (LSI) was reclassified into five susceptibility zones: Very Low, Low, Moderate, High, and Very High. Results indicate that approximately 17.82% of the study area falls under high to very high susceptibility, predominantly in the steep, weathered, and high rainfall zones of the Western Ghats. Validation using Area Under the Curve–Receiver Operating Characteristic (AUC-ROC) analysis yielded an accuracy of 0.890, demonstrating excellent model performance. The output LSM provides valuable spatial insights for planners, disaster managers, and policymakers, enabling targeted mitigation strategies and sustainable land-use planning in landslide-prone regions. Full article

Groundwater availability in semi-arid regions like the Widyan Basin, the Kingdom of Saudi Arabia (KSA), is a critical challenge due to climatic, topographic, and hydrological variations. The accurate identification of groundwater zones is essential for sustainable development. Therefore, this study combines remote-sensing datasets (Sentinel-2 and ASTER-DEM) with conventional data using Geographic Information System (GIS) and analytical hierarchy process (AHP) techniques to delineate groundwater potential zones (GWPZs). The basin’s geology includes Pre-Cambrian rock units of the Arabian Shield in the southwest and Cambrian–Ordovician units in the northeast, with the Saq Formation serving as the main groundwater aquifer. Six soil types were identified: Haplic and Calcic Yermosols, Calcaric Regosols, Cambic Arenosols, Orthic Solonchaks, and Lithosols. The topography varies from steep areas in the southwest and northwest to nearly flat terrain in the northeast. Hydrologically, the basin is divided into 28 sub-basins with four stream orders. Using GIS-based AHP and weighted overlay methods, the GWPZs were mapped, achieving a model consistency ratio of 0.0956. The zones were categorized as excellent (15.21%), good (40.85%), fair (43.94%), and poor (0%). The GWPZ model was validated by analyzing data from 48 water wells distributed in the study area. These wells range from fresh water to primary saline water, with water depths varying between 13.98 and 130 m. Nine wells—with an average total dissolved solids (TDS) value of 597.2 mg/L—fall within the excellent zone, twenty-one wells are categorized in the good zone, fifteen wells are classified in the fair zone, and the remaining wells fall into the poor zone, with TDS values reaching up to 2177 mg/L. The results indicate that the central zone of the study area is suitable for drilling new water wells. Full article

The petroleum industry has been a key driver in the development of the world economy yet continues to attract increasing criticism due to its negative environmental impact via greenhouse gas emissions, resource inefficiency, and waste. Integrating lean and green practices is fast becoming a transformative approach to tackling these issues as it integrates process optimization with sustainability principles. This review paper examined the existing literature on lean and green integration, highlighting its benefits, models, critical success factors, and a roadmap for its implementation. Also, it identified sustainability challenges and offered strategic solutions. The findings showed that integrating lean and green offers potential for both process optimization and waste and carbon footprint reduction, particularly for the petroleum industry in Sub-Saharan Africa (SSA). This can be achieved by using appropriate tools and models. Sustainable value stream mapping (Sus-VSM) is a strategic tool that highlights the importance of sustainability metrics. These sustainability metrics address the implementation challenges of the convectional value stream mapping tool (VSM). This paper is one of the few initiatives to promote lean–green integration within the petroleum industry. Full article

Tourism is the key economic sector of and contributor to employment in Zanzibar. However, tourism growth creates a demand for more hotels, contributing to more waste. Meanwhile, food waste in the hospitality sector remains a concern due to its impact on food sustainability and its economic and environmental footprint. This study examines food waste management in selected tourist hotels located along the east coast and north districts of the island and recommends strategies for improvement. Mixed methods, including surveys and key informants’ interviews and observations, were used for data collection to map the waste flow along the food value chain, analyze the selected hotels’ management practices, and consider stakeholders’ perspectives. The findings reveal that food wastage occurs at each stage of business operations, and the largest waste stream is located at hotels, with an average estimate of 1.8 kg per guest per day. Most waste is generated during food preparation and when serving customers, constituting both avoidable and unavoidable food fractions. Moreover, the implementation of sustainable practices is scarce due to challenges, such as a lack of food waste minimization and management plans and a low level of knowledge and coordination among staff and other stakeholders. However, hotel managers’ knowledge, experience, and willingness to change, as well as the ongoing Greener Zanzibar Campaign, are driving forces for enhancing circular and sustainable practices at tourist hotels. Based on the findings, strategies, such as involving local suppliers close to the hotels for perishable products, reusing leftover food for staff and donations to local communities, and staff training on handling food waste are recommended. The practical implications of this study will help hoteliers reduce food wastage and contribute to more sustainable tourism development in Zanzibar. Full article

This study investigates the transformation of e-commerce warehouse operations by integrating Lean Six Sigma tools to enhance efficiency and sustainability. Beginning with Value Stream Mapping (VSM) to identify inefficiencies, followed by a Hoshin Kanri plan to align improvement initiatives with strategic objectives, the study implemented measures such as pallet pooling, process standardization, automation in inspection and picking, layout optimization, and Kanban systems for continuous improvement. A case study of a local e-commerce warehouse specializing in medical devices and healthcare products identified 29 activities across receiving, inspection, storing, picking, packing, and shipping, highlighting inefficiencies addressed through Lean-driven initiatives. These efforts resulted in a 23% reduction in total lead time, doubled value-added time, and significant improvements in inspection, picking, packing, and automation, reducing delays, lowering costs, and enhancing workflow. The study fills a gap in the literature by integrating multiple Lean tools and utilizing the Critical to Quality (CTQ) matrix to ensure sustainable improvements in e-commerce warehousing, emphasizing the strategic value of Lean Six Sigma in creating efficient, customer-focused operations. Full article

Purpose: Addressing sustainability challenges in additive manufacturing (AM) is critical due to high energy consumption and waste. Optimising AM operations is vital for sustainability. However, the existing literature lacks practical examples for AM companies on how to enhance sustainability. To address this gap, a case study within an AM firm was conducted. Design approach: Using the analytical hierarchy process (AHP), sustainability key performance indicators (KPIs) were identified, aligned with the firm’s strategic objectives. Sustainable value stream mapping (Sus-VSM) analysed the production process for sustainability performance. A sustainability strategy map (SSM) was created based on the five perspectives of the 4th generation balanced scorecard (BSC) approach and the results from the case study. Findings: The research identified optimisation areas in the multi-jet-fusion (MJF) process, crafted tailored sustainability KPIs, and developed a SSM to seamlessly integrate sustainability initiatives into the company’s vision. Value: This contribution provides a structured methodology for selecting KPIs and offers a holistic approach to implementing Sus-VSM within the AM industry. The manuscript emphasises the need to incorporate a fifth perspective into the BSC and proposes a framework for developing a SSM. This study aims to guide AM companies toward a more environmentally responsible and socially conscious approach to manufacturing. Full article

City manufacturing has once again become one of the priority areas for the sustainable development of smart cities thanks to the use of a wide range of green technologies and, first of all, additive technologies. Shortening the supply chain between producers and consumers has significant effects on economic, social, and environmental dimensions. Zoning of city multifloor manufacturing (CMFM) in areas with a compact population in large cities in the form of clusters with their own city logistics nodes (CLNs) creates favorable conditions for promptly meeting the needs of citizens for goods of everyday demand and for passenger and freight transportation. City multifloor manufacturing clusters (CMFMCs) have been already studied quite a lot for their possible uses; nevertheless, an identified research gap is related to supply chain design efficiency concerning CMFMCs. Thus, the main objective of this study was to explore the possibilities of lean supply chain management (LSCM) as the integrated application of lean manufacturing (LM) approaches and I4.0 technologies for customer-centric value stream management based on eliminating all types of waste, reducing the use of natural and energy resources, and continuous improvement of processes related to logistics activities. This paper presents a decision support model for LSCM in CMFMCs, which is a mathematical deterministic model. This model justifies the minimization of the number of road transport transfers within the urban area and the amount of stock that is stored in CMFMC buildings and in CLNs, and also regulating supplier lead time. The model was verified and validated using appropriately selected test data based on the case study, which was designed as a typical CMFM manufacturing system with various parameters of CMFMCs and urban freight transport frameworks. The feasibility of using the proposed model for value stream mapping (VSM) and managing logistics processes and inventories in clusters is discussed. The findings can help decisionmakers and researchers improve the planning and management of logistics processes and inventory in clusters, even in the face of unexpected disruptions. Full article

The construction industry is adopting a collaborative paradigm by combining Lean construction (LC) principles and BIM capabilities. Existing studies lack sufficient case studies and performance evaluations, especially for the disassembly and reconstruction stage, creating a gap in the practical application of BIM and Lean construction (BIM-LC) in China. To bridge this gap, this study quantitatively assessed the BIM-LC methodology in a relocation project in Dezhou, China. The project employed BIM-LC practices such as the Last-Planner System (LPS), Just-In-Time (JIT), Kanban, Value-Stream Mapping (VSM), and Continuous Improvement to enhance construction efficiency and minimize waste. Two main areas of the relocation process were investigated: (i) the identification of common barriers and on-site solutions to the implementation of BIM-LC; (ii) evaluation of the construction efficiency, construction and demolition waste (CDW), and carbon-emission performance. The results showed that the BIM-LC strategy improved labor efficiency and productivity by 3.4% and 12.9%, shortened the construction period by 11 days, reduced construction costs by 8.07% (i.e., USD 9093.8), and reduced transportation costs by 12.5% (i.e., USD 1875). The CDW generation rate ranged from 1–5%, which is comparable to the rates observed in residential construction across various countries. The total weight was 1903.8 kg (10.4 kg/m²). Moreover, the carbon emission during the relocation process was 15,288.4 kgCO₂e, with a carbon intensity of 83.5 kg/m². This study extends the knowledge systems on the application of the BIM-LC method in relocation projects and supports data-driven decision making. It also plays a crucial role in fostering new markets for recycled components, contributing to the realization of a sustainable built environment. Full article

The field of CSR has witnessed considerable growth and established itself as a significant subject in family business studies. However, despite previous reviews exploring this topic from various angles, there remains a crucial gap in understanding the influence of diverse regulatory frameworks and social, environmental, and managerial values on the development of literature production and research streams across different regions. This gap holds particular significance for comprehending the latest advancements in this dynamic research field, particularly in emerging economies, where cultural and regulatory environments play a substantial role in shaping the attitude of family firms toward CSR. To bridge this gap, this paper conducts a comprehensive review of empirical studies focusing on sustainability in family firms. These studies are organized based on the country of study, and our review, based on a conjunct database derived from the Scopus and World of Science, encompasses 308 articles published between 1996 and 2023. Utilizing bibliometric software and adhering strictly to our inclusion criteria, we systematically grouped these articles into three distinct clusters: North American studies, European studies, and Asian studies. We found significant differences among areas regarding the main objectives, methodologies, and results of the research. This study comprehensively maps key themes and findings in family business sustainability, aiding researchers in organizing knowledge and guiding future investigations. Recognizing regional influences is crucial to ensuring representative and applicable research outcomes. Full article

Manufacturing companies strive to minimize costs, maximize efficiency and improve production quality, which is crucial for market competitiveness. As companies grow and technologies evolve, increasingly complex challenges arise in effectively managing and improving production processes. One of the tools that helps companies improve their processes is value-stream mapping (VSM). The article focuses on the use of VSM in the production process of hand tools used in the construction industry. The paper presents selected aspects of the optimization of the production process using the mapping concept. The research identified and characterized the most important processes occurring in the production of hand tools used in construction. Then, basic data on the value stream was collected and the need for improvements and actions aimed at optimizing the value stream was indicated. Financial results, key performance indicators (KPIs), machine operation and reliability, energy consumption in the production process and overall equipment effectiveness (OEE) before and after improvements were calculated. The analysis carried out allowed for the optimization of the production process in terms of economy and energy consumption. As a result of the improvements, the productivity of injection-molding workers increased by 9.4% and the overall equipment efficiency by 18%. The machine availability rate increased from 70.3% to 85.2%. After implementing the improvements, the company is able to save approximately 295,488 kWh annually, i.e., approximately EUR 53,253, while 1 kWh currently costs producers in Poland EUR 0.18. The conclusions and results described in the paper constitute a solid basis for further development of an improvement project for the selected company. Full article

The present study focuses on finding potential sites for ecotourism development using GIS and remote-sensing-based weightage sum overlay techniques in Western Rajasthan, India. Ecotourism is one of the fastest growing and revenue-making sectors incorporating a sustainable future. Western Rajasthan has a broad scope to develop tourism-based activity in various ways, mainly through cultural heritage, historical and archaeological wonders, and rare wildlife. Weightage sum overlay analysis is a useful and simple tool to compare each thematic layer. These values are based on various factors and understanding taken during the study. For this purpose, different data types have been taken from the USGS website. Arc GIS 10.8 and ERDAS Imagine software 2015 have been utilized to process the data. This research incorporates seven thematic layers, i.e., elevation, proximity to streams, land use/cover, population density, road connectivity, proximity to protected areas, and heritage hotspots. Based on the physical and cultural characteristics of Western Rajasthan, the weightage of each thematic layer has been decided, which is finally overlaid using Arc GIS software. After processing all the thematic layers, we finally get an outcome in the form of a suitability map. The final suitability map represents five suitability classes that divide the total area into the following categories, very high (37.31%), high (26.85%), moderate (7.89%), low (0.83%), and very low (27.12%), which represents the potential of ecotourism in Western Rajasthan. Full article

The literature presents a review of the current application of lean and green practices and highlights the context, barriers, drivers, tools, and critical success factors and tools for the integration of lean and green practices within the Sub-Saharan African (SSA) manufacturing industry. In addition, the current state, gaps in the existing literature, and future perspectives on the current challenges of the industry have been suggested for the integration of both paradigm and sustainability of the industry. Integration of lean-green provides means to addressing issues faced by manufacturing industries for improved competitiveness. This study demonstrates that the application of lean and green practice is critical to be identified and applied within the region through the analysis of research papers published in both operational and sustainability journals. The findings of this review indicate that the synergy of lean and green practices is an effective initiative for resolving the operational and sustainability challenges of the manufacturing industry within SSA. To achieve operational excellence and mitigate environmental concerns, industries must implement the right tools and consider the critical success factors. By applying appropriate tools and models, the SSA region can address the current challenges and achieve a reduction in cost significantly. Full article

Understanding the impact of land use/land cover (LULC) change on hydrology is the key to sustainable water resource management. In this study, we used the Soil and Water Assessment Tool (SWAT) to evaluate the impact of LULC change on the runoff in the Rur basin, Germany. The SWAT model was calibrated against the observed data of stream flow and runoff at three sites (Stah, Linnich, and Monschau) between 2000 and 2010 and validated between 2011 and 2015. The performance of the hydrological model was assessed by using statistical parameters such as the coefficient of determination (R²), p-value, r-value, and percentage bias (PBAIS). Our analysis reveals that the average R² values for model calibration and validation were 0.68 and 0.67 (n = 3), respectively. The impacts of three change scenarios on stream runoff were assessed by replacing the partial forest with urban settlements, agricultural land, and grasslands compared to the 2006 LULC map. The SWAT model captured, overall, the spatio-temporal patterns and effects of LULC change on the stream runoffs despite the heterogeneous runoff responses related to the variable impacts of the different LULC. The results show that LULC change from deciduous forest to urban settlements, agricultural land, or grasslands increased the overall basin runoff by 43%, 14%, and 4%, respectively. Full article

The creation of more sustainable land use strategies is paramount to designing multifunctional agricultural landscapes that allow grasslands to continually deliver multiple ecosystem services. A mapping modelling approach would provide us with a tool for system diagnosis to better assess the value of a landscape and define place-based practices for designing more context-adjusted systems that are in synergy with the complexity of grasslands. To assess the potential capability of a high-country pastoral livestock production system in New Zealand in delivering ecosystem services, this work uses a geospatial model as a decision support tool to identify management practices that enhance grassland health. The model uses national, climatic, soil, and landcover data to assess the agricultural productivity, flood mitigation, C sequestration, erosion, and sediment delivery capacity of a case study high-country station in New Zealand. Model outcomes suggest that the station has the potential for increased agricultural productivity although varying spatially, a high flood mitigation capacity, a high capacity for C sequestration, a moderate risk of erosion, a capacity to reduce sediment delivery to streams, and overall, a low to moderate nitrogen and phosphorus accumulation. Output maps display a spatial visualisation of ecosystem services associated with the landscape topography, soil, and vegetation patterns that allow the identification of neglected areas and planning of best place-based management practices strategies to enhance the health of grasslands. Full article