Venkataramanaiah Saddikuti

@iiml.ac.in

Professor of Operations and Supply Chain Management
Indian Institute of Management Lucknow, India

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

Innovations in delivering high volume high quality pilgrim services at TTD


Applications Invited

Impact Assessment of FASTag and integration of e-way bill


Applications Invited

Healthcare Supply Chain Management


Applications Invited
31

Scopus Publications

1458

Scholar Citations

16

Scholar h-index

17

Scholar i10-index

Scopus Publications

  • An Integrated Machine Learning Algorithm Based Metaheuristic with Taguchi Method in Solving Energy Efficient Multi-objective Flowshop Scheduling Problem
    Vigneshwar Pesaru, Venkataramanaiah Saddikuti, Mukund Janardhanan
    Lecture Notes in Production Engineering, 2025
  • A prescription for efficiency: optimizing the surgical item inventory management practices in a healthcare facility
    Venkataramanaiah Saddikuti, Surya Prakash, Vijaydeep Siddharth, Kanika Jain, Sidhartha Satpathy
    Journal of Advances in Management Research, 2024
    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, Mukund Janardhanan
    Procedia Computer Science, 2024
    Energy efficient permutation flowshop scheduling problem (PFSP) is widely studied to reduce the energy consumption in manufacturing systems. Most traditional studies make the premise that setup time is a component of processing time. However, this assumption does not satisfy the small batches, more varieties manufacturing models criterion. Therefore, energy efficient PFSP with setup times thus becomes a pressing problem that needs to be resolved. The contribution of this paper includes: (1) a permutation flowshop scheduling problem (PFSP) mathematical model by considering energy consumed and setup time by each machine in the system; (2) a grey-wolf algorithm optimization with variable neighborhood search (VNS) method (GWO_VNS) is proposed for the multi-objective PFSP model; (3) solved 9 benchmarks problems of Taillard (1993) [8] for the minimization of flowtime (FT) and energy consumption (EC). The performance of the proposed GWO_VNS algorithm is evaluated on the benchmark problems selected from the published literature [15]. It is noted that the proposed algorithm performed better on both the objectives i.e., FT and EC minimization. Overall, the proposed algorithm achieved 33.25% and 30.56% average improvement in FT and EC minimization respectively on benchmark problems.
  • Dual Resource Scheduling in Trauma Care Centre with Time Varying Patient Demand
    Venkataramanaiah Saddikuti, Pavan Kumar Gudavalleti
    Lecture Notes in Production Engineering, 2023
  • Discrete Event Simulation for Pharmaceutical Supply Chain Analysis in India
    Rohit Sindhwani, Venkataramanaiah Saddikuti
    Lecture Notes in Production Engineering, 2023
  • Application of Blockchain Technology in Healthcare Supply Chains
    Venkataramanaiah Saddikuti, Sagar Galwankar, S. V. Akilesh Sai
    Integrated Science, 2023
  • Ripple effect mitigation capabilities of a hub and spoke distribution network: an empirical analysis of pharmaceutical supply chains in India
    Rohit Sindhwani, Jayanth Jayaram, Venkataramanaiah Saddikuti
    International Journal of Production Research, 2023
    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.
  • Evaluation of enablers of supply chain resilience and responsibility in India during large-scale disruptions: an ISM-ANP approach
    Rohit Sindhwani, Venkataramanaiah Saddikuti, Omkarprasad S. Vaidya
    International Journal of Operational Research, 2023
    The healthcare and economic distress caused by large-scale disruptive events is most severe. The recent pandemic, SARS-CoV-2, has affected the entire world with its relentless energy. Only few supply chains (SCs) have remained resilient during disruptions. We highlight that these organisations do not just focus on SC resilience; the innate nature of being responsible has helped them stay afloat. Thus, we understand and identify various enablers of resilient and responsible SCs for survival during large-scale disruptions in India. 15 enablers and 30 sub-enablers for SC survivability are identified from literature and verified by experts. Integrated ISM-ANP approach and MICMAC analysis is adopted to develop a conceptual framework and prioritise enablers for SC survivability. The three most important sub-enablers in near term are advanced tracking and tracing system (0.0807), information sharing of business objectives (0.0776) and multi-way partnership (0.0776), respectively.
  • Patient Flow Optimization in an Emergency Department Using SimPy-Based Simulation Modeling and Analysis: A Case Study
    Anudeep Battu, S. Venkataramanaiah, R. Sridharan
    Lecture Notes in Mechanical Engineering, 2023
  • Sustainable recovery for digital entrepreneurs with shared resources: enablers, challenges and solutions
    Ajay Jha, Rohit Sindhwani, Ashish Dwivedi, Venkataramanaiah Saddikuti
    Journal of Asia Business Studies, 2022
    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.
  • Hybrid multi-objective evolutionary algorithm for solving RALB-II problem
    Venkataramanaiah Saddikuti, Mukund Nilakantan Janardhanan, Vigneshwar Pesaru
    International Journal of Operational Research, 2022
  • Lean and Legacy supply chains for coordinated demand driven production to handle disruptions
    Venkataramaniah Saddikutti, Pavan Kumar Gudavalleti, Mahendra Pal Singh
    IFAC Papersonline, 2022
  • Effect of COVID-19 pandemic on social factors
    Rohit Sindhwani, G. Pavan Kumar, Venkataramanaiah Saddikuti
    Covid 19 and the Sustainable Development Goals, 2022
  • 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
    Veronica Sikka, SalvatoreDi Somma, SagarC Galwankar, Sagar Sinha, Nidhi Garg, et al.
    Journal of Emergencies Trauma and Shock, 2021
  • 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, Vibha Dutta, Vivek Chauhan, Pushpa Sharma, SagarC Galwankar, Manish Garg, Nicholas Taylor
    Journal of Global Infectious Diseases, 2020
  • An application of AHP and fuzzy AHP with sensitivity analysis for selecting the right process to impart knowledge
    Shailendra Singh, Shantanu Bhattacharya, Venkataramanaiah Saddikuti
    International Journal of Knowledge Management Studies, 2020
  • NSGA based algorithm for energy efficient scheduling in cellular manufacturing
    Venkataramanaiah Saddikuti, Vigneshwar Pesaru
    Procedia Manufacturing, 2019
  • Impact of it enabled services on the state gdp: A case of Andhra Pradesh-India
    Indian Journal of Economics and Business, 2019
  • IKure techsoft: Providing technology enabled affordable health care in rural India
    Atanu Chaudhuri, Venkatramanaiah Saddikutti, Thim Prætorius
    Asian Case Research Journal, 2018
  • Achieving Better Integration in Trauma Care Delivery in India: Insights from a Patient Survey
    Thim Prætorius, Atanu Chaudhuri, S. Venkataramanaiah, Peter Hasle, Ajai Singh
    Journal of Health Management, 2018
  • Structural equation model (SEM)-neural network (NN) model for predicting quality determinants of e-learning management systems
    Sujeet Kumar Sharma, Avinash Gaur, Venkataramanaiah Saddikuti, Ashish Rastogi
    Behaviour and Information Technology, 2017
  • Differential evolution algorithm for solving RALB problem using cost- and time-based models
    J. Mukund Nilakantan, Izabela Nielsen, S. G. Ponnambalam, S. Venkataramanaiah
    International Journal of Advanced Manufacturing Technology, 2017
  • The design of a focused cellular manufacturing system with a remainder cell: A case study
    Cellular Manufacturing Systems Recent Developments Analysis and Case Studies, 2017
  • What's new in Emergencies Trauma and Shock? Calculating Costs for Disaster Preparedness!
    Venkataramanaiah Saddikuti
    Journal of Emergencies Trauma and Shock, 2016
  • Approaches for enhancing competitiveness of Moradabad handicrafts manufacturing units
    S. Venkataramanaiah, Ganesh Kumar Nidugala
    International Journal of Technology Management and Sustainable Development, 2016
  • Innovative approaches of affordable health care in emerging economies
    V. Saddikuti, M. Gopalakrishnan, S. Gopinath
    Innovations in Healthcare Management Cost Effective and Sustainable Solutions, 2015
  • Sequential metamodelling application to improve porthole die design
    M K Pandey, R K Singh, S Venkataramanaiah, M K Tiwari
    Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, 2010
  • Models for cellular manufacturing systems design: Matching processing requirements and operator capabilities
    R Bhatnagar, V Saddikuti
    Journal of the Operational Research Society, 2010
  • Scheduling in cellular manufacturing systems: An heuristic approach
    S. Venkataramanaiah
    International Journal of Production Research, 2008
  • Contingent manpower planning in a high clock speed industry
    Rohit Bhatnagar, Venkatramanaiah Saddikutti, Anand Rajgopalan
    International Journal of Production Research, 2007
  • Hybrid heuristic for design of cellular manufacturing systems
    S. Venkataramanaiah, K. Krishnaiah
    Production Planning and Control, 2002

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
    2025
  • An Integrated Machine Learning Algorithm Based Metaheuristic with Taguchi Method in Solving Energy Efficient Multi-objective Flowshop Scheduling Problem
    V Pesaru, V Saddikuti, M Janardhanan
    International Conference of Production Research–Americas, 575-585 , 2024
    2024
  • 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 21 (3), 478-506 , 2024
    2024
    Citations: 4
  • Managing social organizations: experiences and challenges
    N Ravichandran, S Venkataramanaiah, U Gajiwala, R Pandey, S Venkat, ...
    Vikalpa 49 (1), 83-109 , 2024
    2024
    Citations: 3
  • 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
    2024
    Citations: 2
  • 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
    2023
    Citations: 53
  • 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
    2023
    Citations: 1
  • Operations and Supply Chain Management
    SPKG Russel R S, Taylor B W, Venkataramanaiah
    Wiley Publisher , 2023
    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
    2023
    Citations: 9
  • Managing Social Organisations: Lessons from World's Largest Pilgrimage Center
    NRS Venkataramanaiah
    Wiley India Ltd , 2023
    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
    2023
    Citations: 16
  • Managing Social Organisations: Lessons from World’s Largest Pilgrimage Center
    RNV Saddikuti
    Wiley Publisher , 2022
    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
    2022
  • Application of Blockchain Technology in Healthcare Supply Chains
    SCGASSV Venkataramanaiah Saddikuti
    Blockchain in Healthcare: A Journey from Disruption to Transformation , 2022
    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
    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
    2022
  • Essays on hub location problems and ripple effect mitigation during disruptions
    R Sindhwani
    Indian Institute of Management Lucknow, India , 2022
    2022
  • Understanding successful implementation of public-private partnerships in healthcare using service triads
    A Gupta
    Indian Institute of Management Lucknow, India , 2022
    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
    2022
    Citations: 6
  • 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
    2022
    Citations: 2

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
    2020
    Citations: 511
  • 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
    2017
    Citations: 233
  • 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
    2006
    Citations: 92
  • Enhancing the competitiveness of SMEs through industrial clusters: The Indian experience
    S Venkataramanaiah, SP Parashar
    International Journal of Technology Management & Sustainable Development 6 … , 2007
    2007
    Citations: 68
  • Scheduling in cellular manufacturing systems: an heuristic approach
    S Venkataramanaiah
    International Journal of Production Research 46 (2), 429-449 , 2008
    2008
    Citations: 65
  • 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
    2017
    Citations: 57
  • 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
    2023
    Citations: 53
  • 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
    2007
    Citations: 40
  • 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
    2020
    Citations: 39
  • 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
    2022
    Citations: 33
  • Innovations in healthcare management: cost-effective and sustainable solutions
    VK Singh, P Lillrank
    CRC Press , 2015
    2015
    Citations: 33
  • Building competitiveness: a case of handicrafts manufacturing cluster units
    S Venkataramanaiah, NG Kumar
    Indore Management Journal 3 (2), 27-37 , 2011
    2011
    Citations: 30
  • 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
    2010
    Citations: 25
  • Hybrid heuristic for design of cellular manufacturing systems
    S Venkataramanaiah, K Krishnaiah
    Production Planning & Control 13 (3), 274-283 , 2002
    2002
    Citations: 23
  • 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
    2020
    Citations: 18
  • 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
    2023
    Citations: 16
  • NSGA Based Algorithm for Energy Efficient Scheduling in Cellular Manufacturing
    S Venkataramanaiah, P Vigneshwar
    Procedia Manufacturing 39, 1002-1009 , 2019
    2019
    Citations: 15
  • 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
    2023
    Citations: 9
  • iKure Techsoft: Providing technology enabled affordable health care in rural India
    A Chaudhuri, V Saddikutti, T Prætorius
    Asian Case Research Journal 22 (02), 385-411 , 2018
    2018
    Citations: 8
  • Achieving better integration in trauma care delivery in India: Insights from a patient survey
    PHPAS Thim Prætorius, Atanu Chaudhuri, S Venkataramanaiah
    Journal of Health Management 20 (3), 234-254 , 2018
    2018
    Citations: 8