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http://ijaems.com/ Open Access international Journal to publish research paper en-us July The article examines risk-based qualification of dual-use refrigerated incubators using temperature bracketing and verification embedded into equipment lifecycle management. The relevance of the work stems from the need to simultaneously satisfy increasingly stringent GxP regulatory expectations and the demand for operational leanness in laboratory infrastructure, where the traditional V-model of validation results in an excessive volume of mapping activities. The objective of the study is to develop a scientifically justified qualification scheme that, with a minimal number of tests, enables reliable extrapolation of results between boundary and intermediate setpoints. The novelty of the approach lies in integrating engineering data on the thermal behavior of the incubator with the ASTM E2500 methodology and quality risk management principles, as well as in introducing the concept of dynamic qualification, which treats recovery rate as a critical quality attribute. Based on mapping at +5.0 °C and +57.5 °C using 15 calibrated data loggers, a performance envelope is established within which intermediate modes can reasonably be regarded as qualified; acceptance criteria, sensor placement schemes, and the logic of risk-based monitoring within the lifecycle framework are substantiated. The article is intended for validation and quality specialists, equipment engineers, authors of GxP laboratory procedures, and regulatory inspectors. http://ijaems.com/detail/risk-based-qualification-of-dual-use-refrigerated-incubators-using-temperature-bracketing-and-lifecycle-verification/ Pujari Prasantha http://ijaems.com/upload_images/issue_files/1IJAEMS-106202624-Risk-Based.pdf Purpose – Small and medium-sized enterprises (SMEs) play a pivotal role in the global economy, contributing significantly to innovation, employment, and economic growth. However, their survival rate remains low motivating the need to find practical ways to enhance their survival. SME integration into global supply chains enhances their survival and success. Yet, embedding in supply chains remains a challenge for SMEs. This article examines the integration of SMEs within supply chains, emphasizing the opportunities that support their sustainability and expansion. It also enhances the understanding of the significance and impact of embedding SMEs in supply chains as a strategy for improving their long-term viability. Adopting a humanist paradigm with an interpretivist epistemological stance, a qualitative and phenomenological approach, this empirical study investigates the perspectives and experiences of supply chain professionals, SME managers and owners, and incubators actively engaged in the SME sector, gathering data on their insights and real-world experiences. regarding the phenomenon of the value of embedding SMEs in supply chains. The study utilised purposive sampling to achieve data saturation through semi-structured interviews with a total of 30 participants in Botswana. The findings were analysed using a thematic approach. The results obtained show that embedding SMEs in supply chains significantly enhances their survival by fostering resilience, innovation, and market competitiveness. They also reveal that embedding in supply chains allows SMEs to leverage strategic intelligence, collaborate with partners, and adopt sustainable practices, ultimately positioning them to navigate challenges effectively enhancing their survivability. Notwithstanding these life-saving benefits, the results also indicate that embedding in supply chains is slow and not prioritised among SMEs. These insights offer academics and practitioners a more comprehensive understanding of the significance of integrating SMEs into supply chains as a survival practice and suggest that SMEs should prioritise and increase the pace of embedding in SMEs. Notwithstanding the opportunities for deeper insights into the lived experiences of participants, potentially revealing nuanced understandings of their contexts, the research's limitations include potential biases from interviewee perspectives, reliance on subjective interpretations, and the challenge of generalizing findings beyond the specific context of Botswana's SMEs. This calls for future studies to collect data from various socio-economic contexts using different data collection methods for comprehensive discussion regarding the importance of embedding SMEs in supply chains. The paper presents the value of SMEs in supply chains as an approach that significantly enhances SME survival providing a conceptual model that can be useful in understanding the phenomenon of embedding in supply chains. http://ijaems.com/detail/embedding-smes-in-supply-chains-to-enhance-their-survival-a-comprehensive-exploration/ Absolom Mukonyo http://ijaems.com/upload_images/issue_files/2IJAEMS-106202625-Embedding.pdf Today, AI and predictive analytics can obsolete the primitive “take a stab at it” attitude towards project risk management. These technologies ensure that the businesses are aware of building projects which may be delayed or cost overruns in advance. Most of the existing research however focuses on enhancing the math’s and algorithms and has not studied the question of trust and usage of this data amongst real project managers (PMs) working in their day to day role. This paper does so. We combine the Technology Acceptance Model (TAM) with Sociotechnical Systems (STS) theory to describe the human aspect of the AI tools. We argue that there are two problems with an out-of-balance manager’s trust: either the manager appeals to the wrong data (automation rejection) or the manager hands over to the machine, believing that the machine is always in the right (automation bias). Both the errors negatively affect the successful completion of a project. http://ijaems.com/detail/algorithmic-governance-and-trust-calibration-in-project-management/ Syed Osman Zulnorain http://ijaems.com/upload_images/issue_files/3IJAEMS-10720264-Algorithmic.pdf Seasonal seafood freezing shops often enter the fishing season with installed freezing capacity that cannot be used immediately because part of the crew is renewed, task routines are unsettled, and handoffs around chamber loading, unloading, case-up work, and maintenance escalation remain unstable. This paper develops an authorial workforce-readiness methodology to reduce the time required for a freezing shop to reach full-capacity operation during partial seasonal crew renewal. The methodology differs from conventional approaches focused mainly on equipment readiness, refrigeration capacity, or general onboarding because it treats seasonal ramp-up as a combined supervisory system of guided task entry, adjacent-task rotation, and fixed communication signals tied to chamber continuity. The applied case comes from a 15-chamber plate-freezing shop in Kodiak, Alaska, where each chamber has a stated capacity of 2.5 tons and the operating target reaches 85 tons per 12-hour shift. Practitioner-reported operating indicators show that the integrated routine reduced the ramp-up period from roughly 2 weeks to 3–4 days, corresponding to a 71–79% reduction in time to stable, full-capacity work. The proposed model is transferable to other seafood-processing plants with compressed seasons, high crew renewal, manual loading pressure, and recurrent early-season coordination losses. Its practical value lies in giving freezer leads and plant supervisors a structured method for converting installed freezing capacity into stable daily output before all seasonal workers reach full individual proficiency. http://ijaems.com/detail/reducing-the-time-for-a-freezing-shop-to-reach-full-capacity-at-the-start-of-the-fishing-season/ Andrii Kalinichenko http://ijaems.com/upload_images/issue_files/4IJAEMS-10720265-Reducing.pdf Warfare is evolving at a rapid pace, adhering to the ongoing technological advancements coupled with Multi-Domain Operations (MDO) escalating across the ongoing conflicts. This paper highlights the need for contemporary warfare to have full transition towards integration; to fight as a single coherent force. The word `jointness` refers here to the improved coordination between independent military services and military effectiveness in the late twentieth century. With this transition being discussed, the integration across various domains through the assistance of a centralized headquarter must be spread across the intelligence departments, logistic, cyber domain, kinetic and electromagnetic domains respectively. The effectiveness of this integration can be highlightened through various real time warfare examples that are taking place in this era, the Operation Sindoor from 2025, The Israel Gaza war (2023-Present), and lastly the Israel-Iran-United States conflict 2025-2026, all demonstrated the modern integrated military systems leading to the battlefield success. This paper highlights the integration through an Integrated Multi Domain Command Framework, highlighting how this integration is not a choice anymore but a need of the hour, a strategic decision! http://ijaems.com/detail/leap-from-jointness-to-integration-redefining-military-processes-for-multi-domain-operations-in-the-twenty-first-century/ Ahmad Hassaan Bin Junaid http://ijaems.com/upload_images/issue_files/5IJAEMS-10720269-Leapfrom.pdf This article examines how large enterprise organizations can reliably create 0-to-1 products under structural constraints such as multi-layer governance, legacy operating models, and uncertainty in market selection. The study focuses on one specific contribution developed by the author: a data-driven mapping tool embedded in a market expansion platform for de-novo growth and acquisition screening. The novelty of the article lies in combining research on opportunity framing, experimentation discipline, governance design, and innovation structures with an applied product case in which multi-source market data were converted into a visual decision system for location prioritization. The aim is to identify enterprise practices that increase the probability of launching a first viable product while preserving strategic alignment and decision quality. The material base combines recent peer-reviewed literature with an analytical reconstruction of the product work on a mapping platform that integrated reimbursement signals, patient-segmentation data, media-efficiency indicators, and market restrictions into a unified scoring logic. Methods include comparative analysis, analytical synthesis, and conceptual modeling. The results show that enterprise 0-to-1 success improves when opportunity selection is treated as a productized decision system rather than a one-time strategic exercise. The article is relevant for product leaders designing internal decision platforms, growth tools, and other data-intensive products inside large organizations. http://ijaems.com/detail/best-practices-for-innovating-0-to-1-products-within-large-enterprise-organizations/ Nitin Garg http://ijaems.com/upload_images/issue_files/6IJAEMS-10820261-Best.pdf Premium grade in frozen fish is decided in the hours between landing and the moment a batch leaves the freezer, and the conditions of those hours change when a seasonal plant reaches peak volume. The quality literature measures freezing and frozen storage under steady conditions: a fixed freezing rate, a programmed storage temperature, a planned number of thaw cycles. A processing plant at the height of a salmon run does not operate that way. Arrival rate, queue length, chamber turnaround and door traffic all move at once, and they move the product's thermal history with them. This review proposes a break-point taxonomy for that regime. Five points at which cold chain integrity fails under load are mapped onto the quality-loss mechanism dominant at each, the indicator that makes the loss measurable, and the class of control that holds it. Twenty-nine sources published between 2015 and 2026 are cited, thirteen examined in full text. The penalty for the slower or less controlled route is large and consistent: mean ice crystal cross-sectional area of 939.6 µm² under air freezing against 86.5 µm² under immersion freezing at -40 °C, end-of-storage drip loss of 15.17% at -20 °C against 9.09% at -40 °C, and predicted remaining shelf life falling from 391 to 204 days across a four-stage warming chain. The review closes with a comparative matrix of control practice families and five named gaps, each with a first step. http://ijaems.com/detail/cold-chain-management-under-peak-loads-as-a-factor-in-preserving-the-premium-quality-of-frozen-fish-products/ Andrii Kalinichenko http://ijaems.com/upload_images/issue_files/7IJAEMS-10820262-ColdChain.pdf The COVID-19 pandemic catalyzed a global expansion of digital surveillance systems, transforming emergency health technologies into long-term governance tools. This paper critically examines the normalization of surveillance in post-pandemic society through a sociological lens, with a particular focus on India. Drawing exclusively from secondary data, it analyzes how surveillance infrastructures—such as contact tracing apps, biometric monitoring, and AI-based public surveillance—have reconfigured state–citizen relations, reinforced social inequalities, and reshaped the meaning of citizenship in the digital age. The study engages with key sociological theories, including Foucault’s governmentality, Zuboff’s surveillance capitalism, and Lyon’s concept of the surveillance society, to explore how technological control has been embedded into everyday life. The findings underscore that surveillance is not merely a technical phenomenon but a deeply social institution that reproduces power, marginality, and exclusion. The paper concludes with a set of policy recommendations aimed at promoting rights-based, participatory, and ethically grounded digital governance. http://ijaems.com/detail/technology-and-surveillance-in-the-post-pandemic-society/ Jagdeep Sheoran http://ijaems.com/upload_images/issue_files/8IJAEMS-108202699-Technology.pdf With modern society's increasing emphasis on environmental protection and sustainable development, an increasing number of consumers have begun to pay attention to their consumption behavior. Particularly in the process of e-commerce shopping, the environmental impact of delivery and packaging mechanisms has attracted considerable attention. Governments, drawing on the United Nations Sustainable Development Goals (SDGs), especially Goal 12 "Responsible Consumption and Production," have promoted policies to reduce unnecessary packaging waste, such as requiring e-commerce operators to reduce packaging material use, increase the proportion of recycled materials, and promote circular packaging mechanisms. However, current policy measures are mostly led by enterprises and pay less attention to consumers' participation willingness and behavioral patterns.This study uses the Value-Attitude-Behavior hierarchy model (VAB Model) as its theoretical basis to examine the effects of consumer values (altruistic and egoistic), perceived effectiveness (PEC), and self-confidence on sustainable consumption behavior. Values are regarded as important factors influencing consumption behavior, and different values lead to different environmental attitudes and purchase decisions. It also examines whether consumers' perceptions and attitudes toward environmentally friendly packaging and sustainable delivery mechanisms in e-commerce shopping affect their actual participation intention.A total of 261 online questionnaire samples were collected. The results show that altruistic and egoistic values have significant positive effects on consumer perceived effectiveness; altruistic values also have a significant positive effect on sustainable consumption; and consumer perceived effectiveness also has a significant positive effect on sustainable consumption. However, the moderating effect of self-confidence is not significant. http://ijaems.com/detail/an-exploration-on-consumers-intention-to-participate-in-sustainable-consumption-through-the-shipping-packaging-mechanism-of-e-commerce-platforms/ Chao-Chien Chen, Chia-Ju Lu, Chien-Yu Huang http://ijaems.com/upload_images/issue_files/9IJAEMS-10820266-Anexploration.pdf This study reconsiders value engineering in the context of low-budget residential construction, where limited resources intensify the need to achieve an optimal balance between cost and functional performance. The findings demonstrate that the primary drivers of cost deviations arise not from individual design decisions but from the initial definition of the project's spatial structure, which determines the distribution of functions and the subsequent behavior of costs. The study examines the interrelationship between architectural configuration, material selection, and construction process organization within a unified framework of cost formation. It is argued that the conventional approach, which focuses on cost adjustments after the completion of the design phase, restricts the potential of value engineering and fails to deliver sustainable long-term benefits. The principal outcome of the research is an original model in which cost management is achieved through the early development of the project's functional structure while accounting for the building's life cycle. The proposed approach extends the practical application of value engineering and may be employed in the development of affordable housing projects under conditions of significant cost pressure. http://ijaems.com/detail/value-engineering-approaches-in-low-budget-residential-construction/ Gocha Kalandadze http://ijaems.com/upload_images/issue_files/10IJAEMS-10820265-Value.pdf High-temperature thermal damage in underground mines remains one of the critical bottlenecks restricting deep resource exploitation, posing severe threats to miner safety and equipment reliability. Conventional PID controllers exhibit insufficient adaptability when dealing with the nonlinearity, time-varying dynamics, and strong disturbances characteristic of mine temperature fields. To address these challenges, this paper proposes an optimized temperature control algorithm for mine air conditioning systems based on an Interval Type-2 Fuzzy Neural Network PID (IT2FNN-PID) controller. The proposed algorithm integrates the dynamic uncertainty compensation capability of interval type-2 fuzzy logic with the self-learning mechanism of neural networks, enabling real-time online tuning of PID parameters. A simplified thermodynamic model of the mine environment is first established to construct the transfer function of the temperature control system, with comprehensive analysis of multi-source disturbances including heat sources and surrounding rock heat dissipation. An interval type-2 fuzzy rule base with adaptive membership functions is then designed, and the inference parameters are dynamically optimized through the neural network structure. Comparative simulations are conducted using Matlab/Simulink, evaluating conventional PID, type-1 fuzzy PID (T1F-PID), interval type-2 fuzzy PID (IT2F-PID), and the proposed IT2FNN-PID controllers. Simulation results demonstrate that the IT2FNN-PID controller outperforms the other methods in terms of overshoot reduction, response speed, and steady-state accuracy, exhibiting superior robustness and environmental adaptability in mine temperature regulation applications. http://ijaems.com/detail/research-on-pid-control-strategy-for-mine-air-conditioning-systems-based-on-interval-type-2-fuzzy-neural-network/ Chih-Ching Hung, Rui-Ling Zeng, Wen-Jie Yu, Ming-Hui Huang, Ho-Sheng Chen http://ijaems.com/upload_images/issue_files/11IJAEMS-10820268-Research.pdf Operational efficiency at a gas processing plant is shaped by the daily maintenance of the process regime, and the plant's margin depends on how closely that regime runs to its technological limits. Three families of instruments are available at almost every modern facility: rigorous process simulation, statistical analysis of operating data, and economic optimization of the process regime in real time. Each family carries its own software and its own owner within the organization, and each has a limited effect when operating alone. This paper develops an integrated efficiency management loop that binds the 3 families into a single decision cycle. Simulation defines the feasible boundary of the regime, statistical control compresses the dispersion of parameters around the setpoint, and economic optimization determines how far the setpoint may be moved toward the boundary. The conceptual core of the model treats the operating margin as a priced quantity that contracts as variability falls. The methods applied are systems analysis, comparative analysis of English-language publications published between 2021 and 2025, and synthesis with the author's professional experience at gas processing plants in Western Siberia. Generalized indicators from that experience illustrate the loop, covering a decline in process losses from 0.64% to 0.44% of plant throughput, growth in valuable fraction recovery, and a 10% reduction in greenhouse gas emissions. The results are addressed to process engineers, process control specialists, and production managers. http://ijaems.com/detail/data-driven-management-of-operational-efficiency-at-gas-processing-plants-integrating-process-simulation-statistical-control-and-economic-optimization/ Aleksandr Dovbik http://ijaems.com/upload_images/issue_files/12IJAEMS-10820267-Data.pdf