ICMIAM 2022 was successfully conducted from 13-15 December 2022, with Pre-Conference Workshops on 12 December 2022, at the Institute of Rural Management Anand (IRMA), Anand, Gujarat, India. 


ICMIAM 2022 was conducted in 'hybrid' mode.

The theme of ICMIAM 2022 was focused on, Rural Assets for Sustainable Development. This theme will add on to the basic purpose of the ICMIAM Conference series.

Further, ICMIAM 2022 builds on two sub-themes:

  1. Asset Management (AM) and Systems (AMS), and
  2. Rural Assets and SDGs

Industrial and municipal assets have a number of systems and subsystems, hardware, sensors and software including rotating and sliding parts. It is well known that failure mechanism and degradation behaviour of these parts and subsystems influences life of those systems. In order that informed decisions are taken by maintenance, reliability and asset management professionals to improve performance and productivity, it is imperative that the behaviour of machine components and sub systems with regard to the performance of the system, costs and risks associated with various options in maintenance and replacement decisions are better understood.

But there are issues and challenges in understanding these by maintenance, reliability and asset management professionals. The tools and techniques necessary for better maintenance can be developed and applied with an enhanced understanding of tribology. In recent years, the concept of Industry 4.0 which deals with Remote Performance Monitoring (RPM), Internet of Things (IoT), Advanced Robotics, Machine and Deep Learning, Cloud Computing and Data Analytics is making a significant contribution to maintenance, reliability and asset management. The evolution of these maintenance philosophies along with international standards including (IS055000 series have been influenced by the developments in a host of technologies, decision models and asset management framework. Internet of Things (IoT), Artificial Intelligence and Big Data Analytics are changing our lives in every sphere. These technologies and analytics are going to have a significant impact on how maintenance, reliability and asset management strategies evolve.

The Sustainable Development Goals (SDGs) are designed to be a “blueprint to achieve a better and more sustainable outcome for all by 2030”. In both the 2030 Agenda for SDGs and the New Urban Agenda (NUA), United Nations Members agreed to policies that support integrated urban and territorial planning and development. Rural assets created that are policy-driven across all these dimensions have a substantive role in influencing the divides and maintain an equilibrium in the rural-urban continuum. This strategic intent notwithstanding, various associated challenges face the rural sector, populace, and sector organizations. The key challenges include, inter alia, social, economic, financial, and digital assets in the changed environment. Consideration by the policymakers, academia and practitioners to understand and assess returns of rural assets is quite limited. The returns on ownership and rural asset investment are significant concerns and cannot be ignored to achieve the SDGs. It is also important to note that rural assets have special effects in asset management space due to the sensitive development challenges. These challenges are livelihood-centric, capability for low capital investment and scale, fragmented and household centric production systems with assets of low capital, high dependence on non-core assets (intangible) and yet critical (including commons); emerging digital divides with the disparity in digital assets, inequitable access to physical assets like infrastructure, logistics in supply chain and above all information asymmetry.

Original contributions from researchers describing their unpublished work addressing state-of-the-art research, which is not currently under review by any other conference or journal are invited to submit their work in areas of Intelligent Asset Management, Rural Asset Management for Sustainable Development and related areas but are not limited to:

  • Asset Management (AM), ISO 55000/55001 and related standards certification and beyond,
  • Intelligent management of critical assets, e.g., water, power, smart grids, energy management, intelligent traffic system, rural asset management, regulations and compliance environment, Internet of Things (IoT),
  • Industry 4.0 in AM, analytics and applications in AM, risk management,
  • Cyber Physical Systems, process modelling, digital twins, machine learning in AM,
  • AM for oil and gas industry,
  • Built environment asset management, low cost sensing for asset management,
  • New advancements in reliability, maintenance engineering, preventive and predictive maintenance,
  • Life-cycle cost analysis, remaining useful life analysis,
  • Tribology, Artificial Intelligence (AI) and IoT in RAM,
  • Condition Monitoring (CM), Condition Based Maintenance (CBM) and efficiency, RAM in Industry 4.0, resilience, rolling stock maintenance, reliability and resilience, risk and performance assessment, risk-based maintenance,
  • Safety analytics, occupational health, integrated safety management systems, Prevention through Design (PtD)
  • Probabilistic risk assessment & uncertainty analysis,
  • Human factors & cognitive ergonomics, process safety, workplace safety, safety economics,
  • Industry 4.0 technologies in safety management,
  • Digital asset management, asset integrity, cyber security challenges and risk to management,
  • AI and ML applications in safety & security,
  • Smart transportation and logistics,
  • Cyber Supply Chain Risk Management (CSRM),
  • Geospatial data and technologies for rural SDGs monitoring,
  • New technologies adoption in rural areas for SDGs,
  • Smart rural areas and SDGs,
  • Data and software management in rural areas,
  • IT physical infrastructure management in rural areas.