In the era of Industry 4.0 (I4.0), automation and data analysis have undergone significant advancements, greatly impacting production management and operations management. Technologies such as the Internet of Things (IoT), robotics, cloud computing (CC), and big data, have played a crucial role in shaping Logistics 4.0 (L4.0) and improving the efficiency of the manufacturing supply chain (SC), ultimately contributing to sustainability goals. The present research investigates the role of I4.0 technologies within the framework of the extended theory of planned behavior (ETPB). The research explores various variables including subjective norms, attitude, perceived behavior control, leading to word-of-mouth, and purchase intention. By modeling these variables, the study aims to understand the influence of I4.0 technologies on L4.0 to establish a sustainable manufacturing SC. A questionnaire was administered to gather input from small and medium-sized firms (SMEs) in the manufacturing industry. An empirical study along with partial least squares structural equation modeling (SEM), was conducted to analyze the data. The findings indicate that the use of I4.0 technology in L4.0 influences subjective norms, which subsequently influence attitudes and personal behavior control. This, in turn, leads to word-of-mouth and purchase intention. The results provide valuable insights for shippers and logistics service providers empowering them to enhance their performance and contribute to achieving sustainability objectives. Consequently, this study contributes to promoting sustainability in the manufacturing SC by stimulating the adoption of I4.0 technologies in L4.0.

The technological breakthrough in the field of natural composites has led to the introduction of many new materials and products, which are environmentally friendly. As a result, there is a need to reuse, recycle, and reduce the increasing solid bio-waste. Researchers are focusing on deriving reinforcements for composites from biomaterials. This review focuses on the mechanical, physical, chemical, and thermal characterization of CFF as reported in various research articles. This work also presents CFF as a reinforcement material in composites and methods for preparing the CFF composites. This review indicates that CFF provides enough scope to explore opportunities for future research of CFF as a biomaterial in composites.

Derivative Thermogravimetric analysis under air was used to observe the thermal decomposition process of Chicken feather fiber (CFF) reinforced Poly-lactic acid (PLA) composite filament of 2.2 mm diameter. The thermal degradation of the sample was initiated at 140 ֯C. Approximately 75 % of the thermal degradation occurred between the temperature of 357 ֯C and 399 ֯C. The composite's activation energy was established using the Coats-Redfern method. The results showed that the activation energy of 112.06 kJ/mol is utilized for the sample throughout the temperature range of 23 ֯C to 398 ֯C. A low activation energy is indicative of rapid chemical reactions between the CFF and PLA molecules. The results from TGA and DTGA indicate that the addition of CFF in the PLA matrix enhanced the thermal stability.

In present times, natural fibers have become the most widely researched topic in the field of composite manufacturing. With the present-day research focused on In present times, natural fibers have become the most widely researched topic in the field of composite manufacturing. With the present-day research focused on