Engineering, Management of Technology and Innovation, Artificial Intelligence, Automotive Engineering
19
Scopus Publications
Scopus Publications
Understanding the role of multi-agent technology on quality of manufacturing organizations: A hybrid MCDM analysis Vikram Singh, Somesh Kumar Sharma Journal of Process Control, 2026 Maintaining quality in the manufacturing system has become a critical challenge in today’s rapidly evolving technological landscape. To overcome this, current research examines the role of Multi-Agent Technology (MAT) in improving the quality of manufacturing processes. For this, a conceptual framework consisting of eight factors and thirty-seven variables of MAT, identified from the literature, was analyzed using the Analytical Hierarchical Process (AHP), Sensitivity Analysis, Decision-Making Trial and Evaluation Laboratory (DEMATEL), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). AHP findings revealed ‘Production Planning’ as the highest-priority factor, followed by ‘Process Monitoring, Control, and Data Acquisition.’ DEMATEL established the interrelationships among variables, ensuring a collaborative approach to maintaining quality. Sensitivity analysis and TOPSIS validated the AHP results for consistency and robustness. The findings also indicated that Virtual Manufacturing, Distributed Digital Manufacturing, and Adaptive Agent-Based Architecture were the globally top ranked variables in the framework that help to ensure the quality of manufacturing processes. These findings contribute to developing autonomous, high-precision manufacturing systems for long-term competitiveness and quality assurance. This study provides valuable insights for researchers and managers, demonstrating that MAT and its parameters can be customized to optimize manufacturing quality.
A literature review on role of multi-agent technology in manufacturing sectors: a simple meta-analysis Somesh Kumar Sharma, Vikram Singh International Journal of Industrial and Systems Engineering, 2026 Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.
An integrated SEM and entropy approach to analyse the impact of multi-agent technology on the quality of high-tech products Hritik Kamta, Vikram Singh, Somesh Kumar Sharma International Journal of Industrial and Systems Engineering, 2026 Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.
Key Variables of High-Tech Products Influencing High-Tech Industries: A Hybrid Multicriteria Decision-Making Analysis Vikram Singh, Somesh Kumar Sharma IEEE Engineering Management Review, 2025 High-tech products (HTPs) are key drivers that help strengthen the economy of any nation. Literature advocates that most of the research focused on the marketing and exports of HTPs. However, little attention has been paid to examining the variables of HTPs that affect their development in international market competitiveness, posing a challenge for high-tech industries (HTIs). In this context, this research is a unique contribution in this domain, which aims to analyze the key variables of HTPs that influence the performance of HTIs. A theoretical framework of 8 key variables and 30 HTP variables has been developed. The fuzzy multicriteria decision-making technique is applied to prioritize, rank, and measure the interrelationships between variables. This application evolved HTP features as the most prioritized and influential key variable, followed by others, all of which are interrelated. In contrast, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">nearer to technological development, technical convergence trends, closely related to science</i>, quality of design, and object clarity are the top-globally ranked variables for measuring the performance of key HTP variables. These findings provide a roadmap for designers to maintain the feature of HTP, manufacturers in quality management, marker analysts to select the potential market, and management to make the best decision.
Analysing the role of multi-agent technology on high-tech manufacturing using AHP, DEMATEL, and TOPSIS Vikram Singh, Somesh Kumar Sharma International Journal of Industrial and Systems Engineering, 2025 High-tech product manufacturers operate in extremely sensitive environments and face challenges in meeting the quality standards of high-tech products. To address these challenges, this study aims analysing the impact of multi-agent technology (MAT) on the quality standards of high-tech manufacturing (HTM). The extensive literature was used to explore 8 factors of HTM and 45 variables of MAT. A hybrid multi-criteria decision-making technique was used to analyse the factors and variables. The HTM process is a highly prioritised and impactful factor. Process monitoring, automatic customised test plans, adaptive agents, demand forecasting agents, and virtual manufacturing are the top five globally ranked variables. The findings of this article provide ranking order and determine the relationship between factors and variables for the integration of MAT in HTM. This bridging can assist designers in improving the design quality, manufacturers in increasing process quality standards of products, and market experts in selecting the potential market.
Impact of Multi-Agent Technology on High-Tech Product Manufacturing Organizations Using a MCDM Analysis Vikram Singh, Somesh Kumar Sharma Enhancing Autonomous and Adaptive Systems with AI and Iot, 2025 High-Tech Manufacturing (HTM) is a capital-intensive sector requiring substantial national investments. Integrating Multi-Agent Technology (MAT) into HTM presents new growth opportunities by optimizing processes and enhancing decision-making. This study investigates the impact of MAT on HTM using Multi-Criteria Decision-Making (MCDM) techniques, specifically the Analytical Hierarchical Process (AHP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL). A conceptual framework comprising eight factors and forty-five variables is established. AHP identifies the “high-tech manufacturing process” as the most critical factor, followed by product features, market analysis, and marketing decisions. DEMATEL reveals strong interdependencies, with the manufacturing process exerting the most influence, while quality management, maintenance integration, and organizational factors are most affected. Findings indicate that effective MAT implementation fosters self-operative manufacturing, enhances quality, reduces maintenance efforts, and improves market targeting.
Impact of multi-agent technology on the manufacturing organisations: a multi-criteria decision-making analysis Vikram Singh, Somesh Kumar Sharma, Prakhar Shukla International Journal of Industrial and Systems Engineering, 2025 Quality is a major concern for manufacturers and can affect the performance of manufacturing system components and product quality. This study aims to improve the quality of manufacturing processes from material acquisition to the end of production using multi-agent technology (MAT). The literature review identified five factors and their 31 governing variables, and their impact is analysed through AHP, DEMATEL, and TOPSIS. AHP was used to study and establish priority orders. DEMATEL was used to develop inter-relationship and TOPSIS to validate the global ranking evolved through AHP. 'Manufacturing process' along with 'quality aspects' have evolved most significant factors for controlling quality. Their significance is increased since they were discovered to be the most influential in affecting other factors. The detailed research and discussions in this article may allow industrial organisations to raise quality standards, hence increasing customer support, lowering costs, and improving efficiency.
Controlling Airplane Crashing Using Multi-Agent Technology (MAT) Using Fuzzy Analytical Technique Vikram Singh, Najish Asad, Sahil Puri, Arpit, Somesh Kumar Sharma, Mohammad Al Khaldy Recent Advances in Smart Communication Technologies for A Sustainable Future, 2025 The rapid growth of air transportation has intensified global concerns regarding aviation safety, demanding the integration of advanced and intelligent technologies. This chapter investigates the role of Multi-Agent Technology (MAT) in enhancing safety across critical phases of aviation, including aircraft design, manufacturing, operations, and maintenance. Although prior studies have addressed isolated aspects, comprehensive research on the systemic impact of MAT on aviation safety remains limited. Employing the Fuzzy Analytic Hierarchy Process (AHP), the study identifies and ranks the most influential MAT variables that contribute to effective crash prevention. The outcomes provide a structured decision-support model for aviation professionals, enabling targeted investments and strategies that strengthen safety performance both qualitatively and financially. By embedding smart communication technologies within the MAT framework, this research not only advances safety mechanisms but also contributes to building a more sustainable and resilient future for the aviation sector.
