Venkataramanaiah Saddikuti

EDUCATION

Ph.D in Operations Management

RESEARCH INTERESTS

Supply Chain Management
SMEs Competitiveness
Service Operations Management
Lean Healthcare
Healthcare Management
Operations Scheduling

FUTURE PROJECTS

Scopus Publications

A prescription for efficiency: optimizing the surgical item inventory management practices in a healthcare facility
Venkataramanaiah Saddikuti, Surya Prakash, Vijaydeep Siddharth, Kanika Jain, and Sidhartha Satpathy
Emerald
PurposeThe primary objective of this article is to examine current procurement, inventory control and management practices in modern healthcare, with a particular focus on the procurement and management of surgical supplies in a prominent public, highly specialized healthcare sector.Design/methodology/approachThis study was conducted in three phases. In Phase 1, the study team interacted with various hospital management stakeholders, including the surgical hospital store, examined the current procurement process and identified challenges. Phase 2 focused on selecting items for a detailed study and collected the qualitative and quantitative details of the store department of the healthcare sector chosen. A detailed study analyzed revenue, output/demand, inventory levels, etc. In Phase 3, a decision-making framework is proposed, and inventory control systems are redesigned and demonstrated for the selected items.FindingsIt was observed that the demand for many surgical items had increased significantly over the years due to an increase in disposable/disposable items, while inventories fluctuated widely. Maximum inventory levels varied between 50 and 75%. Storage and availability were important issues for the hospital. It is assumed the hospital adopts the proposed inventory control system. In this case, the benefits can be a saving of 62% of the maximum inventory, 20% of the average stock in the system and optimal use of storage space, improving the performance and productivity of the hospital.Research limitations/implicationsThis study can help the healthcare sector administration to develop better systems for the procurement and delivery of common surgical items and efficient resource allocation. It can help provide adequate training to store staff. This study can help improve management/procurement policies, ordering and delivery systems, better service levels, and inventory control of items in the hospital business context. This study can serve as a pilot study to further investigate the overall hospital operations.Practical implicationsThis study can help the healthcare sector administration develop better systems for procuring and delivering common surgical items and efficient resource allocation. It can help provide adequate training to store staff. This study can help improve management/procurement policies, ordering and delivery systems, better service levels and inventory control of items in the hospital business context. This study can serve as a pilot study to further investigate the overall hospital operations.Originality/valueThis study is an early attempt to develop a decision framework and inventory control system from the perspective of healthcare inventory management. The gaps identified in real hospital scenarios are investigated, and theoretically based-inventory management strategies are applied and proposed.


Hybrid Grey-Wolf Algorithm approach for Solving energy efficient permutation flowshop scheduling problem with Setup Times
Vigneshwar Pesaru, Venkataramanaiah Saddikuti, and Mukund Janardhanan
Elsevier BV



Evaluation of enablers of supply chain resilience and responsibility in India during large-scale disruptions: an ISM-ANP approach
Rohit Sindhwani, Venkataramanaiah Saddikuti, and Omkarprasad S. Vaidya
Inderscience Publishers



Application of Blockchain Technology in Healthcare Supply Chains
Venkataramanaiah Saddikuti, Sagar Galwankar, and S. V. Akilesh Sai
Springer International Publishing



Dual Resource Scheduling in Trauma Care Centre with Time Varying Patient Demand
Venkataramanaiah Saddikuti and Pavan Kumar Gudavalleti
Springer International Publishing



Discrete Event Simulation for Pharmaceutical Supply Chain Analysis in India
Rohit Sindhwani and Venkataramanaiah Saddikuti
Springer International Publishing



Ripple effect mitigation capabilities of a hub and spoke distribution network: an empirical analysis of pharmaceutical supply chains in India
Rohit Sindhwani, Jayanth Jayaram, and Venkataramanaiah Saddikuti
Informa UK Limited
In this study, we focus on ripple effect mitigation capability of the Indian pharmaceutical distribution network during disruptions like COVID-19 pandemic. To study the mitigation capabilities, we conduct a multi-layer analysis (network, process, and control levels) using Bayesian network, mathematical optimisation, and discrete event simulation methodologies. This analysis revealed an associative relationship between ripple effect mitigation capabilities and network design characteristics of upstream supply chain entities. Using stochastic optimisation and Lagrangian relaxation, we then find ideal candidates for regional distribution centres at the downstream level. We then integrate these downstream locations with other supply chain entities for building the network optimisation and simulation model to analyse overall performance of the system. We demonstrate utility of our proposed methodology using a case study involving distribution of N95 masks to 'Jan Aushadhi' (peoples' medicines) stores in India during COVID-19 pandemic. We find that supply chain reconfiguration improves service level to 95.7% and reduces order backlogs by 10.7%. We also find that regional distribution centres and backup supply sources provide overall flexibility and improve occupational health and safety. We further investigate alternate mitigation capabilities through fortification of suppliers' workforce by vaccination. We offer recommendations for policymakers and managers and implications for academic research.


Patient Flow Optimization in an Emergency Department Using SimPy-Based Simulation Modeling and Analysis: A Case Study
Anudeep Battu, S. Venkataramanaiah, and R. Sridharan
Springer Nature Singapore



Sustainable recovery for digital entrepreneurs with shared resources: enablers, challenges and solutions
Ajay Jha, Rohit Sindhwani, Ashish Dwivedi, and Venkataramanaiah Saddikuti
Emerald
Purpose The purpose of this study is to identify important criteria for sustainable recovery of digital entrepreneurship from distress situation using shared resources. During pandemic disruption, the importance of sharing economy in managing business efficiency is reflected through this research. Design/methodology/approach The present study advances the knowledge on shared resources in business by integrating case study approach with multi criteria decision-making (MCDM) model. A fuzzy analytic hierarchy process approach is adopted to compute criteria weights, and a fuzzy technique for order performance by similarity to ideal solution (TOPSIS) technique is used to rank the sharing economy entrepreneurial ventures during COVID-19 pandemic in the context of emerging economy. Findings The present study identified five most important enablers (technological innovation, technology expertise, convergence of virtual and physical spaces, collaboration rather than competition, and benefits to underserved groups through transparency) for sustainable recovery of sharing economy ventures in emerging economy. For example, the study highlights online tutoring through shared intellect as the most sought after sharing economy venture during pandemic disruption, which fulfills the identified enablers. Practical implications The proposed framework provides an accurate decision support tool to rank the various identified potential enablers of sharing economy during disruptions. Further, the approach is practically relevant to sharing economy entrepreneurs in selecting the best approach to recover sustainability during pandemic. Originality/value The study is unique in addressing the need of sustainability for digital ventures via sharing economy approach in emerging economy (India). To develop a conceptual framework, the present study incorporates a case based approach together with the hybrid MCDM model. Further, the extant literature on disruptions is enhanced by prioritizing the enablers for sharing economy during pandemic.


Effect of COVID-19 pandemic on social factors
Rohit Sindhwani, G. Pavan Kumar, and Venkataramanaiah Saddikuti
Elsevier



Hybrid multi-objective evolutionary algorithm for solving RALB-II problem
Venkataramanaiah Saddikuti, Mukund Nilakantan Janardhanan, and Vigneshwar Pesaru
Inderscience Publishers



The world health organization collaborating center for emergency and trauma (WHO-CCET) in South East Asia, the world academic council of emergency medicine (WACEM), and the American college of academic international medicine (ACAIM) 2021 framework for using telemedicine technology at healthcare institutions




COVID-19 blind spots: A consensus statement on the importance of competent political leadership and the need for public health cognizance
StanislawP Stawicki, ThomasJ Papadimos, SamaraE Soghoian, Prabath Nanayakkara, Sarman Singh, AndrewC Miller, Venkataramanaiah Saddikuti, AchalaUpendra Jayatilleke, SiddharthP Dubhashi, MichaelS Firstenberg,et al.
Medknow
As the COVID-19 pandemic continues, important discoveries and considerations emerge regarding the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) pathogen; its biological and epidemiological characteristics; and the corresponding psychological, societal, and public health (PH) impacts. During the past year, the global community underwent a massive transformation, including the implementation of numerous nonpharmacological interventions; critical diversions or modifications across various spheres of our economic and public domains; and a transition from consumption-driven to conservation-based behaviors. Providing essential necessities such as food, water, health care, financial, and other services has become a formidable challenge, with significant threats to the existing supply chains and the shortage or reduction of workforce across many sectors of the global economy. Food and pharmaceutical supply chains constitute uniquely vulnerable and critically important areas that require high levels of safety and compliance. Many regional health-care systems faced at least one wave of overwhelming COVID-19 case surges, and still face the possibility of a new wave of infections on the horizon, potentially in combination with other endemic diseases such as influenza, dengue, tuberculosis, and malaria. In this context, the need for an effective and scientifically informed leadership to sustain and improve global capacity to ensure international health security is starkly apparent. Public health “blind spotting,” promulgation of pseudoscience, and academic dishonesty emerged as significant threats to population health and stability during the pandemic. The goal of this consensus statement is to provide a focused summary of such “blind spots” identified during an expert group intense analysis of “missed opportunities” during the initial wave of the pandemic.


An application of AHP and fuzzy AHP with sensitivity analysis for selecting the right process to impart knowledge
Shailendra Singh, Shantanu Bhattacharya, and Venkataramanaiah Saddikuti
Inderscience Publishers



NSGA based algorithm for energy efficient scheduling in cellular manufacturing
Venkataramanaiah Saddikuti and Vigneshwar Pesaru
Elsevier BV



Impact of it enabled services on the state gdp: A case of Andhra Pradesh-India




Achieving Better Integration in Trauma Care Delivery in India: Insights from a Patient Survey
Thim Prætorius, Atanu Chaudhuri, S. Venkataramanaiah, Peter Hasle, and Ajai Singh
SAGE Publications
Interdependencies among healthcare providers result in complex healthcare supply chains with fragmented healthcare processes characterized by coordination failure and incentive misalignment. In developing countries where resources are scarce such coordination failures can have a severe impact on patient health. However, limited knowledge exists about how coordination takes place across and within the different healthcare service providers and how this influences hospital transfer time and length of stay. This article research this gap by studying trauma care delivery in India using a patient survey ( n = 104). The Indian healthcare system is insightful because India has to provide low-cost care to large populations living in geographically big areas and the healthcare infrastructure struggles to meet increasing demands. The findings suggest mechanisms to better integrate the processes from the accident site to the hospital which include setting up referral processes, 24-hour ambulance services, using third-party coordinators and process improvement within the hospital following lean principles.


Structural equation model (SEM)-neural network (NN) model for predicting quality determinants of e-learning management systems
Sujeet Kumar Sharma, Avinash Gaur, Venkataramanaiah Saddikuti, and Ashish Rastogi
Informa UK Limited
ABSTRACT The success of e-learning management systems (e-LMSs) such as MOODLE depends on the usage of students as well as instructor acceptance in a virtual learning environment. E-Learning enables instructors to access educational resources to support traditional classroom teaching. This paper attempts to develop a model to understand and predict the effect of individual characteristics (technology experience [TE] and personal innovativeness [PI]) and e-LMS quality determinants (system quality [SYS-Q], information quality, and service quality) on the continuous use of e-LMS by instructors, which is critical to its success. A total of 219 instructors using MOODLE responded to the survey. The structural equation model (SEM) was employed to test the proposed research model. The SEM results showed that SYS-Q, PI, service quality, and TE have a statistically significant influence on continuous usage of e-LMS by instructors. Furthermore, all determinants of the research model were given as input to an NN model to overcome the simplistic nature of the SEM model. The NN model results showed that service quality is the most important predictor of e-learning acceptance followed by SYS-Q, PI, information quality, and TE. This paper attempts to develop a causal and predictive statistical model for predicting instructor e-LMS acceptance.


Differential evolution algorithm for solving RALB problem using cost- and time-based models
J. Mukund Nilakantan, Izabela Nielsen, S. G. Ponnambalam, and S. Venkataramanaiah
Springer Science and Business Media LLC



The design of a focused cellular manufacturing system with a remainder cell: A case study




What's new in Emergencies Trauma and Shock? Calculating Costs for Disaster Preparedness!
Venkataramanaiah Saddikuti
Medknow
Shri. A.P.J. Abdul Kalam, former President of India, in his address to Indian Red Cross Society in 2004 strongly suggested for an integrated and institutionalized approach for emergency response. He suggested a scheme using mobile technologies, in which whenever an accident occurs, a message could be sent to the nearest ambulance team and immediate medical help is arranged for. He also recommended for formulating a legal mechanism for providing such emergency support in critical situations.


Approaches for enhancing competitiveness of Moradabad handicrafts manufacturing units
S. Venkataramanaiah and Ganesh Kumar Nidugala
Intellect
Abstract Increased global competition, technological advancements and economic environment have triggered significant changes in manufacturing, distribution and marketing of handicrafts. Traditionally, handicrafts manufacturing is an art that is learnt and transferred from one generation to the next. Handicraft industry is an important provider of employment and livelihood opportunities for skilled artisans particularly for selected communities both in rural and urban India and hence special attention is given to this sector by government agencies at national and state level. Low levels of education of artisans and unitholders, lack of ability to change with market trends and to adopt new technology have resulted in decline in both domestic and export market particularly during economic recession. This field study is an attempt to understand various barriers that affected the artisans and unitholders of Moradabad brass cluster in India. The study focused on marketing, sourcing of raw material, product design, manufacturing planning, distribution of handicrafts and, use of information and communication technology (ICT) tools at various levels, access to financial resources, health and education. To draw meaningful implications from the findings of this field based study, we have adopted a framework based on resource based management and coordination theory. Based on detailed analysis suitable recommendations for improving competitiveness of the cluster units was proposed and, policy implications were identified.


Innovative approaches of affordable health care in emerging economies
V. Saddikuti, M. Gopalakrishnan and S. Gopinath
Productivity Press



Sequential metamodelling application to improve porthole die design
M K Pandey, R K Singh, S Venkataramanaiah, and M K Tiwari
SAGE Publications
The conventional trial—error method and empirical approaches are time consuming for the design of complex shaped products like porthole dies. These methods are associated with higher production costs, lower efficiency, and design inaccuracies pertaining to ambiguity and uncertainty. Owing to these deficiencies, there is a need for a more reliable and better design approach. In this article, a Kriging metamodel and differential evolution-based random simulation design methodology is proposed in order to reduce the cognitive load on the designer. The proposed methodology helps in selecting the set of parameters to be used to perform a simulation such that an improved design is delivered with reduced time and effort. The combination of the input parameters and their probable effect on the final design is evaluated and provided to the designer beforehand. This information, when juxtaposed with the designer's knowledge, gives greater opportunities to produce an optimal design. The sequential sampling strategy is used to select this set of parameters. It depends on the confidence value: a function of the design variables and the desired performance parameter. A Kriging metamodel is employed for modelling a random simulation of porthole extrusion with different influencing parameters. It converts the black-box region (no information zone in the design space) into a grey region (design space with some available information). Differential evolution (an evolutionary algorithm) is used to search for the black-box region carrying the least information in the design space. Three-dimensional extrusion of aluminium is considered in this article for designing a porthole die. The effect of variation of the design parameters is described, sampling points are generated, and the effective set of parameters are evaluated. The results obtained with the proposed sequential methodology are comparable with the simulation results presented in the literature for porthole extrusion.


Models for cellular manufacturing systems design: Matching processing requirements and operator capabilities
R Bhatnagar and V Saddikuti
Informa UK Limited
Cellular manufacturing systems comprise categorizing machines used in the firm's production system into cells dedicated to part families that have similar requirements in terms of tooling, setups and operations sequences. Although worker assignment to cells has a significant impact on cell effectiveness, scant attention has been paid to this issue in previous research. We present two models—sequential and concurrent—for cell formation. The sequential model uses a machine–part incidence matrix (MPIM)-based similarity coefficient while the concurrent model uses a similarity coefficient based on both MPIM and machine–operator incidence matrix (MOIM). Our results show that for 50 problem sets widely reported in literature, the concurrent model outperformed the sequential model in most cases. A measure quantifying the difference in MPIM and MOIM was developed and the relative out-performance of the concurrent model was shown to depend on the value of this measure.

RECENT SCHOLAR PUBLICATIONS

An Improved NSGA-II with local search for multi-objective energy-efficient flowshop scheduling problem
V Pesaru, V Saddikuti
arXiv preprint arXiv:2503.00588 2025



A prescription for efficiency: optimizing the surgical item inventory management practices in a healthcare facility
V Saddikuti, S Prakash, V Siddharth, K Jain, S Satpathy
Journal of Advances in Management Research 2024



Managing Social Organizations: Experiences and Challenges
N Ravichandran, S Venkataramanaiah, U Gajiwala, R Pandey, S Venkat, ...
Vikalpa 49 (1), 83-109 2024



Hybrid Grey-Wolf Algorithm approach for Solving energy efficient permutation flowshop scheduling problem with Setup Times
V Pesaru, V Saddikuti, M Janardhanan
Procedia Computer Science 241, 352-359 2024



Ripple effect mitigation capabilities of a hub and spoke distribution network: an empirical analysis of pharmaceutical supply chains in India
R Sindhwani, J Jayaram, V Saddikuti
International Journal of Production Research 61 (8), 2795-2827 2023



Dual Resource Scheduling in Trauma Care Centre with Time Varying Patient Demand
V Saddikuti, PK Gudavalleti
Intelligent and Transformative Production in Pandemic Times: Proceedings of 2023



Operations and Supply Chain Management
SPKG Russel R S, Taylor B W, Venkataramanaiah
Wiley Publisher 2023



Application of blockchain technology in healthcare supply chains
V Saddikuti, S Galwankar, SV Akilesh Sai
Blockchain in healthcare: From disruption to integration, 215-223 2023



Managing Social Organisations: Lessons from World's Largest Pilgrimage Center
NRS Venkataramanaiah
Wiley India Ltd 2023



Evaluation of enablers of supply chain resilience and responsibility in India during large-scale disruptions: an ISM-ANP approach
R Sindhwani, V Saddikuti, OS Vaidya
International journal of operational research 48 (2), 178-220 2023



Managing Social Organisations: Lessons from World’s Largest Pilgrimage Center
RNV Saddikuti
Wiley Publisher 2022



Last mile delivery of medical oxygen to hospitals during COVID-19: The case of urban Indian city
VSR Sindhwani
Euro 2022, Helsinki, Finland 2022



Application of Blockchain Technology in Healthcare Supply Chains
SCGASSV Venkataramanaiah Saddikuti
Blockchain in Healthcare: A Journey from Disruption to Transformation 2022



Lean and Legacy supply chains for coordinated demand driven production to handle disruptions
PKGMPS Venkataramanaiah Saddikuti
10th International Federation of Automation and Control (IFAC)- MIM2022 2022



Barriers and Facilitators of Degree of Digital Use & Brand Engagement in the context of Retail Travel Agency - Online Travel Suppliers relationship,
D Ghosh
Indian Institute of Management Lucknow, India 2022



Essays on hub location problems and ripple effect mitigation during disruptions
R Sindhwani
Indian Institute of Management Lucknow, India 2022



Understanding successful implementation of public-private partnerships in healthcare using service triads
A Gupta
Indian Institute of Management Lucknow, India 2022



Effect of COVID-19 pandemic on social factors
R Sindhwani, GP Kumar, V Saddikuti
COVID-19 and the Sustainable Development Goals, 259-284 2022



Hybrid multi-objective evolutionary algorithm for solving RALB-II problem
V Saddikuti, MN Janardhanan, V Pesaru
International Journal of Operational Research 43 (1-2), 131-149 2022



Sustainable recovery for digital entrepreneurs with shared resources: enablers, challenges and solutions
A Jha, R Sindhwani, A Dwivedi, V Saddikuti
Journal of Asia Business Studies 16 (3), 515-537 2022

MOST CITED SCHOLAR PUBLICATIONS

The 2019–2020 novel coronavirus (severe acute respiratory syndrome coronavirus 2) pandemic: A joint american college of academic international medicine-world academic council
SP Stawicki, R Jeanmonod, AC Miller, L Paladino, DF Gaieski, AQ Yaffee, ...
Journal of global infectious diseases 12 (2), 47-93 2020
Citations: 463



Structural equation model (SEM)-neural network (NN) model for predicting quality determinants of e-learning management systems
A Sharma, S., Gaur, A., Venkataramanaiah Saddikuti and Rastogi
Behaviour and Information Technology 36 (10), 1053-1066 2017
Citations: 197



A DSS approach to managing customer enquiries for SMEs at the customer enquiry stage
SV MH Xiong, SB Tor, R Bhatnagar, LP Khoo
International Journal of Production Economics 103 (1), 332-346 2006
Citations: 86



Enhancing the competitiveness of SMEs through industrial clusters: The Indian experience
S Venkataramanaiah, SP Parashar
International Journal of Technology Management & Sustainable Development 6 2007
Citations: 68



Scheduling in cellular manufacturing systems: an heuristic approach
S Venkataramanaiah
International Journal of Production Research 46 (2), 429-449 2008
Citations: 63



Differential evolution algorithm for solving RALB problem using cost-and time-based models
JM Nilakantan, I Nielsen, SG Ponnambalam, S Venkataramanaiah
The International Journal of Advanced Manufacturing Technology 89 (1-4), 311-332 2017
Citations: 52



A model for contingent manpower planning: Insights from a high clockspeed Industry
R Rohit Bhatnagar, Venkatramanaiah, Saddikuti and Anand
International Journal of Production Research 45 (9), 2051-2072 2007
Citations: 38



Ripple effect mitigation capabilities of a hub and spoke distribution network: an empirical analysis of pharmaceutical supply chains in India
R Sindhwani, J Jayaram, V Saddikuti
International Journal of Production Research 61 (8), 2795-2827 2023
Citations: 33



COVID-19 blind spots: A consensus statement on the importance of competent political leadership and the need for public health cognizance
TJ Papadimos, SE Soghoian, P Nanayakkara, S Singh, AC Miller, ...
Journal of Global Infectious Diseases 12 (4), 167-190 2020
Citations: 31



Building competitiveness: a case of handicrafts manufacturing cluster units
S Venkataramanaiah, NG Kumar
Indore Management Journal 3 (2), 27-37 2011
Citations: 30



Innovations in healthcare management: cost-effective and sustainable solutions
VK Singh, P Lillrank
CRC Press 2015
Citations: 29



Sustainable recovery for digital entrepreneurs with shared resources: enablers, challenges and solutions
A Jha, R Sindhwani, A Dwivedi, V Saddikuti
Journal of Asia Business Studies 16 (3), 515-537 2022
Citations: 26



Models for cellular manufacturing systems design: matching processing requirements and operator capabilities
R Bhatnagar, V Saddikuti
Journal of the Operational Research Society 61 (5), 827-839 2010
Citations: 24



Hybrid heuristic for design of cellular manufacturing systems
S Venkataramanaiah, K Krishnaiah
Production Planning & Control 13 (3), 274-283 2002
Citations: 22



An application of AHP and fuzzy AHP with sensitivity analysis for selecting the right process to impart knowledge
SBVS Shailendra Singh
International Journal of Knowledge Management Studies 11 (3), 258-277 2020
Citations: 14



Evaluation of enablers of supply chain resilience and responsibility in India during large-scale disruptions: an ISM-ANP approach
R Sindhwani, V Saddikuti, OS Vaidya
International journal of operational research 48 (2), 178-220 2023
Citations: 13



NSGA Based Algorithm for Energy Efficient Scheduling in Cellular Manufacturing
S Venkataramanaiah, P Vigneshwar
Procedia Manufacturing 39, 1002-1009 2019
Citations: 13



Design of a cellular manufacturing system for a product oriented plant
B Mahadevan, S Venkataramanaiah, J Shah
third international conference on operations & quantitative management 2000
Citations: 8



Supply chain management and restart of economy in post COVID-19
V Saddikuti, S Galwankar, ASS Venkat
Contemporary Developments and Perspectives in International Health Security 2020
Citations: 7



iKure Techsoft: Providing technology enabled affordable health care in rural India
A Chaudhuri, V Saddikutti, T Prtorius
Asian Case Research Journal 22 (02), 385-411 2018
Citations: 7