Internal Process Risk Management: A Proposed Conceptual Framework for Electronic Design Industry Process Gap

Risk management is a crucial element in every industrys operational supply chain as the impact of turbulence in the form of uncertainty is drastic. Many researchers have published theories and frameworks defining Supply Chain Risk Management (SCRM) as there are gaps in the application definition gap, process gap, and methodology gap. This paper identifies the process gap in electronic design industry and proposes a modified framework adopted from Sodhi, Son and Tang (2012) to contribute in formulating a framework to define, operationalize and mitigate internal process supply chain risk management. The purpose of this paper is twofold. First, we categorize the detailed review with electronic design internal supply chain process. Second, we analyze and develop a framework with expected results upon completing the SCRM process throughout each internal process. Keywords Risk management, process gap, micro risk, uncertainty, supply chain risk managemen

Designing and managing ERP systems for virtual enterprise strategy:a conceptual framework for innovative strategic thinking

The business environment today is transforming towards a collaborative context compounded by multi-organizational cooperation and related information system infrastructures. This chapter aims to examine Enterprise Resource Planning (ERP) systems development and emerging practices in the management of multi-organizational enterprises and identify the circumstances under which the so-called ‘ERPIII' systems fit into the Virtual Enterprise paradigm; and vice versa. An empirical inductive study was conducted using case studies from successful companies in the UK and China. Data were collected through 48 semi-structured interviews and analyzed using the Grounded-Theory based Methodology (GTM) to derive a set of 29 tentative propositions which were then validated via a questionnaire survey to further propose a novel conceptual framework referred to as the ‘Dynamic Enterprise Reference Grid for ERP (DERG-ERP)'; which can be used for innovative decision-making about how ERP information systems and multi-organizational enterprises – particularly the Virtual Enterprise may be co-developed

UNDERWATER IMAGE ENHANCEMENT THROUGH DEHAZING AND COLOR CORRECTION TECHNIQUES

Underwater photography and videography suffer from significant challenges due to the inherent properties of water, such as light absorption, scattering, and color distortion. When capturing images or videos underwater, the medium's particulate matter and water molecules cause haze and loss of color fidelity, resulting in poor visual quality and reduced visibility. To address these issues and improve the overall quality of underwater imagery, researchers have developed various image enhancement techniques that aim to dehaze the images and correct color distortions. The traditional approach to underwater image enhancement involved simple post-processing methods, such as contrast stretching and histogram equalization. While these techniques might help to some extent, they often fail to produce satisfactory results due to the complex and non-linear nature of underwater light attenuation and scattering. Moreover, these methods are not specifically designed for addressing the unique challenges posed by underwater environments, leading to limited improvements in image quality. Therefore, the need for effective underwater image enhancement techniques arises from several factors such as, underwater imagery is crucial in various fields, including marine biology, underwater exploration, environmental monitoring, and underwater archaeology. In addition, high-quality images are essential for accurate data analysis and interpretation. Further, an improved underwater image quality aids in enhancing the capabilities of underwater robotics, surveillance systems, and underwater imaging devices. Thus, this project presents an innovative and comprehensive approach to address the challenges associated with underwater imagery. The study proposes a novel combination of dehazing, and color correction techniques tailored specifically for the unique characteristics of underwater environments