The purpose of this study is to examine the relationships of master production scheduling (MPS), total quality management (TQM), blood production (BP) and blood transfusion sustainability in the blood bank sector of Uganda. This study considers MPS as an independent variable and examines its relationship with BTS through TQM and BP. Based on the dynamic capability theory, this study concurrently incorporates and considers TQM and BP as independent and serial mediators. Data was collected from 213 blood bank respondents using a self-administered questionnaire. Random simple sampling was used to draw the sample. SEM approach was used in the study to assess the model. The major findings are positive total effect relationship between MPS and BTS; BP was found to be an independent mediator, TQM was found not to be an independent mediator, and TQM and BP mediated the MPS and BTS relationship serially. The findings suggest that MPS is related to BTS through a serial mediation model with two mediators. Therefore, blood banks in Uganda need to pay attention to develop and maintain a better MPS program so that positive perceptions of blood transfusion can be attained. Future research should investigate the mediating effect of other TQM and BP dimensions in the link between MPS and BTS in other countries.

This research aims to examine the influence of top management commitment on the operational performance through the mediating role of the green purchasing and ISO 14000 implementation. This study used a quantitative approach and collected data by distributing 70 questionnaires to textile companies located in the Central Java region, Indonesia. One respondent from the top management level, a manager or general manager represented each company. Off the 70, 48 questionnaires were returned and completed correctly. Data analysis used a partial least square (PLS) technique with SmartPLS software version 3.0. The results show that top management commitment has a significant influence on green purchasing, ISO 14000 implementation, and operational performance directly. The results also show that top management commitment also influences the operational performance through the mediating role of the green purchasing and the ISO 14000 implementation. Additional findings indicate that top management commitment contributes more influence on the operational performance through the mediating role of the green purchasing and the ISO1400 implementation than its direct influence. This study contributes to the current theory on supply chain management and paves the way for the practitioner in enhancing the operational performance of the textile industry.

This research paper aims to explore the relationship between water pollution and sustainable development. Water pollution is a significant environmental challenge that threatens the sustainability of ecosystems, human health, and economic development. Sustainable development aims to meet the needs of the present generation without compromising the ability of future generations to meet their own needs. The research methodology involves a comprehensive review of relevant literature on water pollution and sustainable development, including empirical studies, theoretical frameworks, and policy documents. The research will explore the impact of water pollution on sustainable development, the drivers of water pollution, and the policy and regulatory frameworks that promote sustainable water management. The findings of this research paper will contribute to a deeper understanding of the complex relationship between water pollution and sustainable development and provide insights into effective strategies and policies that can promote sustainable water management. The research will also highlight the importance of public awareness and education in promoting sustainable practices and behaviors that can help to prevent and mitigate water pollution. This research paper will provide valuable insights into achieving sustainable water management practices that promote environmental sustainability and socio-economic development.

Loading and unloading operations for Stock Keeping Units (SKUs) in warehouses are critical to logistics management systems. However, these operations also have a significant impact on the environment, particularly in terms of carbon dioxide (CO2) emissions. As such, warehouse management must consider not only operational efficiency but also environmental impact. The reduction of CO2 emissions in warehouses is becoming increasingly important, both for legal compliance and to meet sustainability targets. In this article, we will emphasize the environmental impact of warehouse operations, particularly on CO2 emissions, and explore ways to minimize them while still maximizing warehouse performance. We will review various optimization models proposed to address this issue and highlight the importance of considering environmental objectives when designing warehouse operations. We will also describe a simulation study conducted to determine the Pareto optimal frontier for a warehouse design, considering transportation, space utilization, and CO2 emissions. The outcomes of implementing this simulation's results include reduced CO2 emissions and increased space utilization, which demonstrate the potential benefits of considering environmental objectives in warehouse design and management.

This research paper examines the role of cloud computing in promoting sustainable development. Cloud Computing (CC) has emerged as a transformative technology that has the potential to reduce the environmental impact of businesses and organizations, while also enabling economic growth and social development. The paper explores the environmental benefits of cloud computing, including energy efficiency, reduced carbon emissions, and the potential for renewable energy integration. It also examines the economic and social benefits of cloud computing, including cost savings, increased productivity, and improved access to technology. The paper concludes by highlighting the potential challenges and opportunities associated with the adoption of cloud computing for sustainable development and identifies key areas for future research and policy action. Overall, the paper argues that cloud computing has the potential to play a critical role in promoting sustainable development, and that further research and policy action are needed to realize its full potential.

Effects of climate change can already be observed in many regions of the world. The basin of the Paraná River, in South America, has been suffering an important drought since 2019 in the whole region. The extension of the crisis has increased the risks in the flora and fauna, losses in logistics of navigation, besides the problems of urban water cleansing. In this regard, the novel proposal presents a new mathematical model to study the impact of this crisis. Besides the traditional constraints of the literature for hydraulic systems, this paper enhances inventory constraints, connections with electric systems, and other considerations as the head effects in electricity generation. Because several equations related to electricity generation are nonlinear (which the subsequent computational effort impacts), this proposal applies linearization techniques to reduce CPU times. The core is related to hydropower production, and the consequences of the water crisis in the regional markets. The mathematical model analyzes the interrelationships between reservoirs and water flows of the basin. To study the effectiveness of the novel proposal, the reported situation of the basin of the Paraná River is studied by considering two scenarios (normal conditions of the river flow and the conditions related to the drought). Results show that the crisis implies daily net economic losses of about 7 million USD for the operators of the power plants. Other problems (different from the ones related to the energy field) are also mentioned and analyzed.

In this article, a multi-echelon supply chain for growing and deteriorating items, where the grower has a lot of live newborn items (growing) is discussed. The grower transfers the matured inventory to the processor in each shipment. The processor begins to process the stock as a ready-sale product in the market. The processor also delivers the processed inventory to the retailer in each shipment in the non-processing period of his cycle length. Then the processor offers trade credit to the retailer and makes the retailer agree to share a portion of his profit with him. The product’s life cycle when in the hand of the retailer is certain and it expires after some time t. Carbon emission during processing is considered while packing and preserving the livestock for sale. Depending on these assumptions, there are six possibilities to discuss profit values. Sensitivity analysis was also brought to verify the optimal determined values. The profit-sharing sharing method’s outcome benefits the processor and the retailer more.

This study sought to determine whether farm categories influence the key agro business supply chain metric of crop yield. The investigated farm categories are the communal farms, A1 farms, A2 farms, and commercial farms that reflect the agricultural structure that emerged from the post-fast-track land reform programme in Zimbabwe. Secondary data for crop yield was collected from the Tobacco Industry and Marketing Board publications of a five-year period spanning from 2014-2018. Tobacco Industry and Marketing Board is the regulatory authority of the Zimbabwean tobacco industry. The study used One-way ANOVA to test the specified hypotheses. A post hoc test was conducted using the Bonferroni procedure. The results indicated that crop yield is a function of the farm category. Communal farms had low crop yield, while A1 farm models proved to be very productive as evidenced by higher crop yield than any other farm category. A2 farms and commercial farms had unexpectedly low crop yield. The study recommended consolidation and transformation of communal areas into small-to-medium plots for the purposes of improving their agricultural viability, while at the same time downsizing the redundant A2 and commercial farms into small scale plots for the purposes of improving their efficiency. The study also recommended entering into resource-providing contract farming with A2 farmers whose current low yield might be due to lack of adequate input resources.

The purpose of the study is to examine the effects of supplier relationship management practices on organizational performance and competitive advantage of large manufacturing companies in Bahir Dar, Ethiopia. The study employed an explanatory research design. A standardized five-point Likert scale questionnaire was administered to manufacturing companies' executives, top managers, and procurement managers. Structural equation modeling with the help of analysis of moment structure 23 is used to analyze the relationship between variables. The result reveals that supplier relationship management practices lead to enhancing organizational performance and competitive advantage. Also, competitive advantage significantly affects the performance of manufacturing companies. The study is limited by the effects of supplier relationship management practices on organization performance and competitive advantage over a quantitative research approach. Further, it only focused on large manufacturing companies in Bahir Dar, Ethiopia. The study contributes evidence on the effects of supplier relationship management practices on organization performance and competitive advantage. Moreover, it helps the supply chain managers in large manufacturing companies to have a deeper understanding of supplier relationship management and its importance to organizational performance and competitive advantage.

To date, the use of three key aspects together has received little attention in studies on sustainable business models (SBMs). These aspects are a) the qualitative design of SBMs based on a valid sustainable business model canvas presented so far, b) the dynamic quantitative analysis of the designed SBMs, and c) the identification of appropriate business policies for different future scenarios, not just for one. Therefore, in this research, an attempt is made to study all three aspects by proposing a new practical framework based on one of the latest SBMs, called value triangular business model canvas (VTBMC), and system dynamics. To evaluate the proposed framework in the real world, it was implemented as a case study in Farassan Industrial and Manufacturing Company, one of the companies producing composite pipes. The results showed that the proposed framework helps business owners and managers identify the proper policies to achieve their key business objectives in the future under critical uncertainties and also create appropriate balanced values for a wide range of stakeholders, rather than just for shareholders.