This article discusses the value of sustainable oil maintenance by using submicron high-tech offline filtration based on oil condition monitoring to reduce wear particles and improve system reliability. These activities incorporate broader goals of establishing a proactive maintenance approach, defined as continuous monitoring and controlling of the root causes of machine failure. Among these causes, contamination is the industry's most severe, popular, and most recognized failure cause. In order to ensure all necessary proactive maintenance activities, this paper uses practical analysis for oil contamination monitoring based on ISO 4405. The author applied a 0.1-micron high-tech offline filtration for lubrication systems of ball mills in the Sungun copper mine as an oil maintenance activity to control the system lubrication contamination as a root cause of failures.

Weevils are a type of insect with elongated snouts coming from superfamily of Curculionoidea with approximately 97,000 species. Most of them consider pest and cause environmental damages but some kinds like wheat weevil, maize weevil, and boll weevils are famous to cause huge damage on crops, especially cereal grains. This research proposes a novel swarm-based metaheuristics algorithm called Weevil Damage Optimization Algorithm (WDOA) which mimics weevils’ fly power, snout power, and damage power on crops or agricultural products. The proposed algorithm is tested with 12 benchmark unimodal and multimodal artificial landscapes or optimization test functions. Additionally, the proposed WDOA is employed in five engineering problems to check its robustness for problem solving. Problems are Travelling Salesman Problem (TSP), n-Queens problem, portfolio problem, Optimal Inventory Control (OIC) problem, and Bin Packing Problem (BPP). All tests’ functions are compared with widely used benchmark algorithms of Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Harmony Search (HS) algorithm, Imperialist Competitive Algorithm (ICA), Firefly Algorithm (FA), and Differential Evolution (DE) algorithm. Also, all problems are tested with DE, FA, and HS algorithms. The Proposed algorithm showed robustness and speed on all functions and problems by providing precision alongside with reasonable speed.

COVID-19 pandemic was one of the most severe sources of disruptions that recently threatened the supply chain networks. As such disruptions are inevitable in today's business world, learning lessons from the COVID-19 pandemic can significantly help supply chains prepare for future disruptions. This study aims to investigate how Australian supply chains were affected during the COVID-19 pandemic and provide some key resilience strategies to face disruptions. These strategies can assist SC managers in protecting their networks from possible disruption in future.

Epoxy material being a key in a wide range of applications has become a center of attraction for interdisciplinary research. However, the limitations so far reported in using this material has led to the development of some new pitches such as Polyacetal and Araldite. Polyacetal being currently employed in bushes, wipers, gears, etc. while Araldite composites with a potential of delivering some august properties can be an alternative approach to the former. In this work, a comparative study is carried out on the me-chanical attributes of Polyacetal and Araldite (Epoxy) material. Various ASTM standard specimens casted with these materials are subjected to some exploratory assessments such as Tensile Test, Izod Impact Test, Charpy Impact Test, Three-point Bending Test and Vicker’s Hardness Test in order to determine the respective properties.

This study aims to contribute to the literature on organizational sustainability and explore the issues, challenges, and prospects of the Bangladesh pharmaceutical industry in terms of sustainability. Organizations around the world are becoming more and more concerned about their ability to reduce or prevent the adverse effects of their actions. Sustainability, socially responsible human resource management (SRHRM), green human resource management (GHRM), characteristics of stakeholders, voluntary green behavior, innovative behavior, and government roles are the main areas of concern. Research and existing literature are explored to have a clear grasp of several organizational sustainability components. This study also shows how organizations understand and implement organizational sustainability concerns and difficulties and how to identify whether essential systemic components are still unaddressed. It's difficult to balance social, economic, and environmental responsibility with sustainability. Enhance SRHRM and GHRM by examining stakeholder characteristics and the government's involvement, combined with voluntary green and creative behavior, to create a positive image for society, the economy, and the environment. This research explores the issues, challenges, and prospects of Bangladesh's pharmaceutical industry's organizational sustainability. In contrast to the age of industry 4.0, artificial intelligence and machine learning concerns about human resource management, stakeholder characteristics, government role, and employee behavior contribute to the organizational sustainability of the pharmaceutical sector. The study presents first insights on the issues, challenges, and prospects of Bangladesh's pharmaceutical industry from the perspective of organizational sustainability. Sustainability, employee green and innovative behavior, SRHRM, GHRM, stakeholder characteristics, and government roles are drawing the attention of organizations globally. They are taking more and more responsibility for how their actions affect the environment, society, and the economy.