Development and Validation of a Real-Time Data-Driven Scheduling Model for Smart Yoghurt Manufacturing
Experimental Investigation and Optimization of Electric Discharge Machining Process on Duplex Steels using TOPSIS Method
Hybrid Natural Fiber Composites for Automotive Interior Applications: A Comprehensive Review
A Review on Natural Fiber-Reinforced Biodegradable Composites for Sustainable Solid Food Packaging: Focus on Barkcloth and Velvetleaf Fiber
Design and Fabrication of Lithium-Ion Pouch Cell Folding Machine: A Case Study on Zimbabwe's Emerging Battery Industries
A Review on Plasma Ion Nitriding (PIN) Process
An Investigation on Recent Trends in Metamaterial Types and its Applications
Comparative Parabolic Rate Constant and Coating Properties of Nickel, Cobalt, Iron and Metal Oxide Based Coating: A Review
A Review on Friction and Wear Behaviors of Brake’s Friction Materials
Electro-Chemical Discharge Machining- A review and Case study
Electrical Properties of Nanocomposite Polymer Gels based on PMMA-DMA/DMC-LiCLO2 -SiO2
Comparison Of Composite Proton Conducting Polymer Gel Electrolytes Containing Weak Aromatic Acids
Enhancement in Electrical Properties of PEO Based Nano-Composite Gel Electrolytes
Effect of Donor Number of Plasticizers on Conductivity of Polymer Electrolytes Containing NH4F
PMMA Based Polymer Gel Electrolyte Containing LiCF3SO3
Real-time production scheduling optimized through data-driven approaches offers significant potential to improve manufacturing efficiency and responsiveness. This study presents the development and validation of an intelligent scheduling model tailored to the smart yogurt manufacturing process at Kefalos Cheese Pvt Ltd, Zimbabwe. The model's novelty resides in benchmarking its performance against other leading African and global dairy manufacturers, demonstrating its capability for scalable adoption and competitiveness beyond local boundaries. The scheduling KPIs also include energy efficiency and wastage reduction measures, supporting sustainable practice integration. Leveraging real-time operational data, the model integrates key factors, including machine utilization, changeover time, demand variability, and batch size, through a MATLAB/Simulink implementation. A Taguchi experimental design is used to systematically analyze factor effects on scheduling Key Performance Indicators (KPIs), and a quadratic regression model predicts schedule performance under different operational scenarios. Results indicate optimal scheduling when machine utilization is balanced at 75-90%, changeover times are minimized, and demand variability is controlled, enhancing both throughput and schedule robustness. The study proposes a practical implementation framework incorporating data acquisition through OPC UA protocols and adaptive feedback loops, supporting scalable adoption in Zimbabwe's dairy manufacturing sector. This research underscores the value of integrating smart factory concepts with robust scheduling models to tackle dynamic production challenges in perishable, multi-product environments.
Electric discharge machining (EDM) is one of the effective nontraditional machining (NTM) processes. EDM has an effective influence on the aerospace and automobile engineering industries and has various applications. This paper aims at investigating the process parameters of the EDM process when machining duplex stainless steels. These steels are a family of grades combining good corrosion resistance with high strength and ease of fabrication. Their physical properties lie between those of austenitic and ferritic stainless steels but are generally closer to those of ferritic stainless steels and carbon steel. In this investigation, process parameters Pulse on Time, Pulse off Time, and wire feed were considered to achieve output responses of better material removal rate (MRR) and good surface quality (Ra). Experiments were designed (L27) using Design of Experiments (DOE) of Taguchi, and process parameters were optimized using the TOPSIS method of optimization.
Hybrid natural fiber composites have emerged as promising sustainable alternatives to synthetic materials in the automotive industry, particularly for interior applications. By combining natural fibers such as flax, jute, hemp, or kenaf with synthetic fibers or polymer matrices like polypropylene (PP), these composites offer a balanced performance profile, including lightweight properties, improved acoustic insulation, a reduced environmental footprint, and cost efficiency. This review offers a comprehensive analysis of the materials, manufacturing techniques, properties, and industrial trends related to hybrid natural fiber composites in automotive interiors. Key fabrication methods such as compression molding, injection molding, and thermoforming are discussed, alongside surface treatments like alkali, silane, and maleic anhydride grafting, which enhance interfacial bonding and durability. Applications in door panels, dashboards, seatbacks, and trims are explored through case studies from leading OEMs, including Ford, BMW, and Toyota. Challenges, including moisture sensitivity, recyclability, quality variability, and compliance with safety standards, are critically examined. The study also highlights advancements in smart composites, nanofillers, and AI-assisted material optimization. Moreover, life cycle assessment (LCA) insights reveal the environmental advantages of these materials over conventional composites. The review concludes with a gap analysis and outlook emphasizing the need for standardized testing, durable bio-based matrices, scalable recycling solutions, and multifunctional integration.
The growing environmental and health concerns associated with petroleum-based plastic packaging have intensified global efforts to develop sustainable alternatives. This review examines the application of natural fiber-based composites for solid food packaging, focusing on their environmental benefits, material properties, and potential to replace conventional plastics. In particular, the research investigates the creation and characterization of a biodegradable composite made from Ficus natalensis (barkcloth) and Abutilon theophrasti (velvetleaf) fiber, with a matrix based on cassava starch. These materials present promising solutions for improving food safety, prolonging shelf life, and ensuring adherence to regulatory standards. The rise in consumer demand for single-use packaging that accommodates minimally processed and ready-to-eat foods has created substantial opportunities to reduce plastic pollution through innovations in natural fiber-based composites. This paper examines the documented research on different fiber orientations in natural fiber-reinforced polymer composites, emphasizing their relevance for sustainable food packaging applications.
Zimbabwe is endowed with significant lithium reserves, establishing the country as an important player in the global Lithium-ion battery (LIB) supply chain. However, a critical challenge is the lack of local battery manufacturing capabilities, which restricts value addition in this emerging sector. This paper presents the design and fabrication of a specialized Lithium-ion pouch cell folding machine aimed at enhancing Zimbabwe's nascent battery manufacturing industry. The machine effectively addresses essential gaps in local production by enabling automated, high-precision electrode folding, which is a crucial step in pouch cell production. Utilizing locally sourced materials wherever possible, the prototype demonstrates a folding accuracy of ±0.15 mm and achieves a production rate of 15 cells per minute, making it suitable for small-to medium-scale battery assembly operations. Economic analysis suggests that implementing such machinery could reduce Zimbabwe's reliance on imported battery components by as much as 40%, thereby fostering industrial growth and creating employment opportunities within the country. This advancement not only strengthens the domestic battery industry but also aligns with broader economic development objectives.