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This study aims to empirically analyze the significance of various knowledge management (KM) elements to the environment in a military organization and establish the efficacy of performance indicators of civil organizations for a military organization.

The research methodology includes the development of a research model based on a comprehensive literature review. A sample of 454 Indian Air Force Veterans was obtained and structural equation modeling (SEM) analysis using statistical package for the social sciences (SPSS) analysis of moment structures (AMOS) was conducted to test the hypotheses. The study first employed exploratory factor analysis (EFA) for redefining the theoretical constructs and then confirmatory factor analysis (CFA) to test the hypotheses.

The study empirically establishes the significance of various KM elements on the knowledge environment that creates, stores, transfers and applies knowledge to achieve military objectives. Findings indicate the complexity of KM in a military setup while applying the performance measures used in the civil organization.

The study expects to expand the scope of the KM literature to the militaries of developing countries and provide a methodology to the leaders and practitioners in the military organizations, and to study the available KM practices, models and tools in the civil world.

To the best of the authors’ knowledge, the present research is one of the first to generate empirical insights into a knowledge environment in military organizations and test its relation with parameters used in civil organizations. The paper would significantly contribute to the underexplored area of KM in military organizations and infuse a theoretical rigor into the KM literature.

Premature departure of highly skilled and experienced soldiers is detrimental to the excellence of a military organisation. The organisation can achieve knowledge superiority over adversaries, only if it acknowledges the organisation’s critical knowledge and undertakes necessary steps to preserve it. The purpose of this paper is to find out the critical types of knowledge loss in military organisations when a soldier departs.

This study uses grounded theory methodology with purposive/theoretical sampling of experts from the Indian Air Force, coding and constant comparative analysis to construct different knowledge categories. ATLAS.ti 8 was used for data coding and analysis.

This paper identifies eight types of knowledge categories in a military organisation and specifies the criticality of each category.

This study has been piloted on a single organisation with a limited number of samples. However, the results can be used in future research on exploring generalisation. This study is unique in providing useful insights into the types of critical knowledge loss in a military organisation. Research infuses theoretical rigour to the knowledge management (KM) literature and provides impetus to study various aspects of KM in a military organisation.

This study provides the first set of guidelines for the leaders in military organisations to develop a KM strategy for knowledge loss. Research lists specific and actionable areas of knowledge for the commanders to act with considerable savings to exchequer, time and effort. The result could be reasonably generalised for other military setups in the world.

This paper is highly innovative and would significantly contribute to the under-explored area of KM in military organisations and the KM literature.

Protection of medical personnel against pathogenic viruses is a challenging task for the world scientific community. The purpose of this paper is to collect, analyze, critique, rearrange and present the scattered information scientifically to form a base for product development for viral protection.

A huge range of recently available information has been collected, studied and arranged judiciously.

After an exhaustive study of this topic, it is possible to present all information in a manner that will be helpful to start product development activity on both sides of the Atlantic. Initially, various coated textiles with zero breathability were used to cover doctors, nurses and staff but thereafter microporous coatings replaced the poreless surface coatings. However, the pore size distribution in microporous films and coatings could not be controlled precisely and manufacturers could not claim the surface offered foolproof protection against viruses. Monolithic films are able to claim guaranteed protection against virus penetration, with sufficient breathability. Monolithic film technology has prime importance in protective clothing that has to be discussed judiciously. Permeability of block copolymers based monolithic films is an important feature for barrier materials, high performance impermeable breathable clothing and membrane separation processes.

This is a first paper in the field of viral barrier fabrics which will remain helpful to the scientific community to start further research work and product development.

Sonar sensor-based mobile robot mapping is an efficient and low cost technique for the application such as localization, autonomous navigation, SLAM and path planning. In multi-robots system, numbers of sonar sensors are used and the sound waves from sonar are interacting with the sound wave of other sonar causes wave interference. Because of wave interference, the generated sonar grid maps get distorted which resulted in decreasing the reliability of mobile robot’s navigation in the generated grid maps. This research study focus in removing the effect of wave interfaces in the sonar mapping to achieve robust navigation of mobile robot.

The wrong perception (occupancy grid map) of the environment due to cross talk/wave interference is eliminated by randomized the triggering time of sonar by varying the delay/sleep time of each sonar sensor. A software-based approach randomized triggering technique (RTT) is design in laboratory virtual instrument engineering workbench (LabVIEW) that randomized the triggering time of the sonar sensor to eliminate the effect of wave interference/cross talk when multiple sonar are placed in face-forward directions.

To check the reliability of the RTT technique, various real-world experiments are perform and it is experimentally obtained that 64.8% improvement in terms of probabilities in the generated occupancy grid map has been attained when compared with the conventional approaches.

This proposed RTT technique maybe implementing for SLAM, reliable autonomous navigation, optimal path planning, efficient robotics vision, consistent multi-robotic system, etc.

The purpose of this paper is to design and analyze a robust numerical method for a coupled system of singularly perturbed parabolic delay partial differential equations (PDEs).

Some a priori bounds on the regular and layer parts of the solution and their derivatives are derived. Based on these a priori bounds, appropriate layer adapted meshes of Shishkin and generalized Shishkin types are defined in the spatial direction. After that, the problem is discretized using an implicit Euler scheme on a uniform mesh in the time direction and the central difference scheme on layer adapted meshes of Shishkin and generalized Shishkin types in the spatial direction.

The method is proved to be robust convergent of almost second-order in space and first-order in time. Numerical results are presented to support the theoretical error bounds.

A coupled system of singularly perturbed parabolic delay PDEs is considered and some a priori bounds are derived. A numerical method is developed for the problem, where appropriate layer adapted Shishkin and generalized Shishkin meshes are considered. Error analysis of the method is given for both Shishkin and generalized Shishkin meshes.

The purpose of this paper is to propose a novel resource availability assessment for supply chain (SC) configuration. This approach involves understanding both local resource availability and the demand-side implications of supplying global/regional markets as part of a more holistic SC design activity that incorporates local environmental factors.

The proposed framework was derived from literature analysis, bridging relevant literature domains – natural capital theory, industrial ecology and SC configuration – in order to develop design rules for future resource-constrained industrial systems. In order to test the proposed framework, an exploratory case study, based on secondary data, was conducted.

Research findings suggest that this approach might better identify relationships and vulnerabilities between natural resource availability and the viability of regional/global SCs. The research suggests that natural resource availability depends upon three elements – local resource consumption, global resource demand and external environmental factors.

The framework has two main limitations. The current work is focussed on a single industry case study used to exemplify the approach. Second, the framework does not consider other possible industries, which might enter or leave the specific location during the company’s operation. Furthermore, no assessment was made of the migration of populations within the area.

For practitioners, such as those in the agri-food sector, the resource availability assessment framework informs SC configuration design. For policymakers, the research aims to provide policy guidelines, which can help to improve water-saving strategies for a particular region. At a broader societal level, the research raises awareness of resource scarcity amongst industrial players and the wider public.

A resource availability assessment framework has been proposed, suggesting that the dynamics of both global and local resource demand, in conjunction with changing local environmental factors, can over time significantly deteriorate a firm’s natural resource impact on the local environment. Thus, the framework seeks to deliver mechanisms to evaluate potential vulnerabilities and solutions available to firms using a more proactive SC design method and to apply reconfiguration processes that account for natural resources, based primarily on network and resource attributes.

The purpose of this paper is to improve the existing paradigm of edge computing to maintain a balanced energy usage.

The new greedy algorithm is proposed to balance the energy consumption in edge computing.

The new greedy algorithm can balance energy more efficiently than the random approach by an average of 66.59 percent.

The results are shown in this paper which are better as compared to existing algorithms.

The study proposes to determine the impending challenges to lean integration with Industry 4.0 (I4.0) in manufacturing that aims at achieving desired operational performance. Integrating lean and Industry 4.0 as the two industrial approaches is synergetic in providing operational benefits such as increasing flexibility, improving productivity, reducing cost, reducing delivery time, improving quality and value stream mapping (VSM). There is an urgent need to understand the integrated potential of OPEX strategies like lean manufacturing and also to determine the challenges for manufacturing SMEs and further suggest a strategic roadmap for the future.

The current work has used a combined approach on interpretative structural modeling (ISM) and fuzzy Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) approach to structure the multiple level analysis for the implementation challenges to integrate OPEX strategies with Industry 4.0.

The research has found that the indulgence of various implementation issues like lack of standardization, lack of vision and lack of trained support, all are the major challenges that inhibit the integration of OPEX strategies with I4.0 technologies in manufacturing.

The research has investigated the internal factors acting as a roadblock to lean and Industry 4.0 adoption. Further studies may consider external factors to lean and Industry 4.0 implementation. Also, further research may consider other operational excellence approaches and extend further to relevant sectors.

This study provides the analysis of barriers that is useful for the managers to take strategic actions for implementing OPEX strategies with I4.0 in smart manufacturing.

The research determines the adoption challenges towards the integrated framework. This is the first study to explore challenges in integrating OPEX strategies with I4.0 technologies in manufacturing SMEs.

The purpose of this paper is to identify the challenges surrounding the implementation of digital technology (DT) agri-food supply chain (AFSC) and explore how these challenges relate to the various sustainability dimensions. Additionally, it aims to assess how these challenges are interconnected in relation to achieving sustainable development goals (SDGs).

The study employs a mixed-method approach utilizing the EFA-ISM-Fuzzy DEMATEL technique. To support and validate the findings, exploratory factor analysis (EFA) categorized 12 critical challenges in sustainable dimensions from 141 participants' responses. Furthermore, interpretive structural modeling (ISM) and decision-making trial and evaluation (DEMATEL) methods were used to obtain the interrelationship and hierarchical structure of the challenges.

The study identified 12 critical challenges while adopting DT in AFSC. These challenges were categorized into four sustainable dimensions: technological, economic, environmental and social. These challenges hinder the achievement of SDGs as well. Lack of regulatory and policy framework with security and privacy issues were the key challenges faced while adopting DT. These observations emphasize the necessity for government and policymakers to prioritize tackling the identified challenges to successfully endorse and execute DT initiatives in AFSC while also fulfilling the SDGs.

The implication underscores the need for collaboration among various stakeholders, such as governments, policymakers, businesses and researchers. By collectively addressing these challenges, DT can be leveraged optimally, fostering sustainable practices and making progress toward achieving the SDGs within the AFSC.

The study uses a combination technique of EFA and ISM-DEMATEL to identify the challenges faced in Indian AFSC while adopting DT and categorizes the interrelation between the challenges along with fulfilling the SDGs.

This research identifies the supply chain performance indices and designs an evaluation framework to assess and compare the Indian petroleum supply chain performance. We presented a case study of three Indian petroleum companies. For this purpose, we identified fifteen performance criteria extracted from previous literature and expert inputs and classified them into four groups.

A fuzzy technique for order preference by similarity to the ideal solution (TOPSIS) method is employed for evaluating the performance of the Indian petroleum supply chain.

The design and evaluation framework suggests that the top three performance measurement criteria, the purity of the products, compliance with environmental laws, and new technology adoption. The result findings also indicate that company C contributes to a maximum satisfaction level of 77%. Simultaneously, companies A and B hold satisfaction levels of 72% and 67%.

The managers should ensure that environmental standards, new technology adoption, and quality are significant concerns in the petroleum supply chain. The managers should follow national and international policies to preserve the environment and ensure safety in operational activities.

This paper makes two contributions in the domain of performance measurement of the petroleum supply chain. First, it identifies the prominent supply chain performance indices. Second, it proposes a model to assess and compare the performance of Indian petroleum companies.