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.
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.
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.
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
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