SUPPLY CHAIN 4.0 ON HEALTHCARE SYSTEM Dr. JOSE S BRISTO GEORGE ROSHAN JOE MATHEW BOSTINE BOSE SEPTEMBER 2022 1 ABSTRACT The management of the healthcare supply chain, which ensures the continuous supply of drugs and medical supplies, is critical to society's service levels. One of the most complex and challenging problems faced as a result of the globalization of health-care delivery is securing the integrity and safety of the global medicines supply chain. Dangerous forms of pharmaceuticals are illicitly sold by criminal elements and illegal transnational organizations creating patient safety and public health dangers that undermine public and private investments in health care. It is the most complex supply chain due to the availability of the basic material from which medicines manufactured are available only in specific countries. So pandemic indirectly impacts economy, health, social and political situations on every other countries. Over the years supply chain model had to be changed significantly due to evolving nature of business and globalization which resulted in offshore manufacturing and using third party logistics for delivery of goods. Pandemic has created disruption in the supply chain by introducing various constraints has led to reduced service level. Reports of substandard and counterfeit medicines has increased a lot in recent times. Penetration of these counterfeit drugs in to the healthcare supply chain made the global public health at risk. This study perceives the supply chain management process for the rise in low-quality and counterfeit pharmaceuticals, and it attempts to present a model with a flowchart to establish a technique to prevent substandard and counterfeit drugs from accessing the market. This research uses a ServQual model and its dimension that defines the questionnaire. The ServQual model analyses five different dimensions using the prepared questionnaire and using the obtained results Cronbach alpha values are being determined. The calculated alpha values suggest the internal consistency of the dimensions analysed. From these, the gaps are identified. A pilot survey was conducted to prove the reduced service level and attempts to solve the visibility challenge by using BLE and RFID which is an industry 4.0 tool. It will digitally track the flow of every product in the supply chain which tend to increase the end-to-end visibility throughout the supply network 2 3 INTRODUCTION The Covid-19 epidemic is wreaking havoc on many aspects of human life, particularly health care. Healthcare is critical to human survival, and the supply chain must be robust in the face of any disruption. Supply Chain disruption is described as "an incident or accident that might obstruct the delivery of healthcare services to patients" in the health sector. Mitigation, preparedness, and control of all such disruptions are more important in the Health Care Supply Chain compared to other industries because of the direct impact on human lives and the innate high rate of unpredictability. Service and quality would be the most important criteria in these scenarios since human lives are involved. Because it is a multi-dimensional research instrument designed to capture consumer expectations and perceptions of a service along five dimensions that are believed to represent service quality, the ServQual method is used by us to identify the most critical problems through Cronbach's alpha values, which were faced by the people during this outbreak. There aren't many methods for creating end-to-end visibility in the Health Care Supply Chain. In this paper, we discuss the issues which we found by using the SERVQUAL technique and introduce our solution, which employs RFID and BLE across the chain. Barcodes are labels that are applied to items or packages that include an optical machinereadable representation of data that indicates something about that package or product. Barcodes have progressed from one-dimensional to two-dimensional to the ubiquitous QR codes, which may store a long string of data to identify a specific object. This has specific drawbacks like it is quite time consuming because it takes 3 seconds for every scan and becomes labour intensive. 4 LITERATURE REVIEW The main scope of the literature review is to present an idea of getting familiar with supply chain model during and post covid. Get clear picture about the visibility level of drugs in storage and their illegal stockpiling. A survey conducted based on the ServQual model to identify issues in service level and address them. To counter the issue of illegal stockpiling and counterfeit drugs, pharma companies have to implement end-to-end visibility of product movement throughout the supply chain, which paves the way for introducing Bluetooth low energy and RFID technology to track and trace the product with a unique code for each product. Following Globalization, the worldwide supply chain for important medical equipment changed to reflect a variety of aims, including improved quality, accessibility, and price. At this point, "lean" management has taken into consideration more proficient and compelling strategic stream as well as further developed consumer loyalty. However, leanness has likewise prompted affliction. Sadly, in diminishing expenses by means of work and supply roads, this has prompted a decrease in clinical reserves which go about as "supports" during emergencies like COVID-19. These fashions aren't without their challenges. It compromises appropriate preparedness for pandemics. Along with this there was low initial supply and low supply from the suppliers. This indeed pushed to develop new supply chain to procure materials from different. The COVID-19 has uncovered the fragility of our current supply chain frameworks. Increasing reviews on loss of trust and pressures among numerous stakeholders had been reported. Intermediates possibly use opportunistic and unfair commercial enterprise practices creating loss of transparency in reporting of inventory numbers and the ambiguity in moves of transactions. This creates an environment that's fertile for speculation, main to a breakdown of agree with and consequently the inter relationships. Visibility in medical care is surely crucial! Not knowing the course by which drug items advance toward the purchaser can prompt gamble on fakes. Also, with FDA guidelines, life science organizations need to follow medication and item data like authentic areas; time spent at every area, a record of possession, exchange history, bundling setups, and natural stockpiling conditions to productively and securely deal with the full lifecycle of such items in the store network. Manufacturers agree with that track-and-trace technology will allow accelerated operational performance via advanced product visibility, returns processing, product keep in mind capacity and product security. 5 Using SERVQUAL, it was observed that the quality of service provided by pharmacological transport and logistics contractors was such that perceptions for the quality of services provided by these companies were greater than the standard level of quality obtained for all aspects of service quality being analysed through Cronbach Alpha Values. Construction of a questionnaire (survey) that will be beneficial in future study and statistical methods. The main positive result is defined to be what is necessary to improve and assures good quality. Dimensions with least Cronbach alpha values are said to have improper consistency. Thus, it is to be addressed to ensure service level to the consumers. BLE an industry 4.0 tool used to track products at each checkpoint. So, it ensures genuinity of product throughout the supply chain. BLE and RFID so far used in targeting advertisement, billing and inventory management. BLE and RFID has the potential to be used throughout the supply chain. It has enhanced battery life to withstand throughout the supply chain and even in the case of preparedness stockpiling. OBJECTIVE: To counter the issue of illegal stockpiling and counterfeit drugs, pharma companies have to implement end-to-end visibility of product movement throughout the supply chain, which paves the way for introducing Bluetooth low energy and RFID technology to track and trace the product with a unique code for each product. MOTIVATION: COVID-19 is a global disaster that occurred in the end of 2019 and impacted 203 nations. In reality, COVID-19 is an infectious condition caused by an earlier coronavirus variety. One of the issues that societies are now facing is a lack of tools to effectively combat this infection. Because this virus spreads quickly, every failure to control it significantly increases the number of persons afflicted. If there is a shortfall of medical/healthcare equipment in a community, a huge spike in the number of diseased persons can cause an irrevocable and terrible disaster. During the Covid19 outbreak, there was a massive influx of workers from industrial units, restrictions on transportation activities, particularly trucks, a lack of coordination between different administrations, and transporters and couriers that were not operating on time. Each of these elements wreak havoc on the supply chain, producing shortages of vaccinations, hand 6 sanitizers, testing kits, personal protective equipment, pharmaceuticals, hospital equipment, raw materials, and even more. Because no definite treatment for the sickness has been established at this time, providing certain ideas and solutions to minimise the breakout rate of this disease, as well as synchronized administration of afflicted persons, can lead to the breakdown or slowing of the virus chain. With the introduction of new technologies, which minimise labour effort and progress things (i.e., adopting INDUSTRY 4.0), now is the best moment to examine disruptions through SERVQUAL method and give end-to-end visibility through new technologies to protect the complicated Healthcare Supply Chain sector from future outbreaks. GAPS IN THE LITERATURE: When pharmaceutical producers sell their medicines to distributors, the link between them comes to an end. This undermines the supply chain's end-to-end visibility, which gives the way for distributors to stock illegally and sell at exorbitant prices in order to meet increased demand, which was likely heightened during the covid-19 pandemic. During the outbreak, the number of counterfeit/fake medications grew, which can only be detected by the consumers for whom the producer is liable. Pharmaceutical companies were more susceptible during and after the Covid-19 outbreak as a result of these flaws. 7 METHODOLOGY 8 TECHNICAL SPECIFICATIONS: SERVQUAL MODEL: SERVQUAL, commonly known as the GAP model, is a multi-item measure designed to analyse customer perceptions of service quality in service and retail enterprises. Furthermore, the GAP model integrates quality of service design from the customer's perspective with the organization's assessment of customer expectations. The GAP model of services quality with 5 gaps was shown below: We considered that a mixed-method approach would be best for our research. The data was collected and analysed using descriptive and analytical approaches. Both businesses and customers were personally targeted. Because of the number of respondents and limited fieldwork resources, we had to employ a stratified random sample, mostly from Tamil Nadu. We took steps to ensure that our questionnaire was suitable for achieving the study's goals and evaluating our hypotheses. The difference between i) Retailers and Distributors and ii) Consumers and Retailers was measured using SERVQUAL. This measure looks at five aspects of service quality: tangibles, reliability, responsiveness, assurance, and empathy. 12 statements for retailers and 18 statements for consumers were used to grade dimensions. 9 To ensure that the shopkeepers understood the questions, the questionnaire was also translated into Tamil and collected the responses through Google Forms. DESIGN APPROACH AND DETAILS: DATA COLLECTION: In Tamil Nadu, we were locating about 20 retailers and 50 customers. The completed surveys were circulated and collected by us. SPSS v.17 was used to enter and analyse the data. The five quality dimensions were separated into their own variables. STATEMENTS: DIMENSION NO. OF STATEMENTS IN RETAILERS SURVEY NO. OF STATEMENTS IN CONSUMERS SURVEY RELIABILITY 3 4 RESPONSIVENESS 2 4 ASSURANCE 2 2 EMPATHY 2 3 TANGIBILITY 3 2 The Questionnaire has prepared based on the dimensions provided in the ServQual model. Here retailers survey is considered as perceived choice and consumer survey as expectancy. Questionnaire (Retailer): GRADES DIMENSION QUESTION Reliability My Distributer is reliable in terms of handling damaged medicines and Strongly Disagree Neutral Disagree 1 2 3 Agre e 4 Strongly agree 5 10 solves problem immediately Shipments contain wrong/ damaged items Distributor effectively handles expired or counterfeit drug issue When distributor promises to deliver by certain time, they do so ` Responsiveness Distributor provides services at short notice (if they required) Personnel in the distribution have the knowledge to answer your Assurance queries Making retailers feel safe in their transactions Distributer gives retailers individual attention Distributer Empathy provides personalized service to the retailers Distribution centre has modern equipment Distributer has sufficient physical Tangibles facilities for storing drugs Distributor provides any facility to check fake product 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 11 Questionnaire (Consumer): GRADES DIMENSION QUESTION My retailer is reliable in terms of handling damaged medicines and solves problem immediately. When you have any problem, retailer shows sincere Reliability interest in solving it Shipments contain wrong/ damaged items Distributor effectively handles expired or counterfeit drug issue The Retailer provides services at short notice "if required" The Retailer provide home delivery service ` Responsiveness Staffs in the pharmacy know to answer your queries Retailer quickly apologize when they make mistakes Retailers provide personalized service to the Assurance consumers Retailer make efforts to Strongly Disagree Neutral Disagree Agre e Strongly agree 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 12 Empathy Tangibles understand consumer’s need. Retailers who are continuously courteous to us Retailer gives consumers individual attention. Personnel in the pharmacy follow covid protocols Retailer has sufficient physical facilities for storing drugs. The Retailer provides any facility to check the fake product 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 Here we used Likert’s score of range 1 to 5. Least score value of 1 and highest score value of 5. Questionnaire was circulated with respective departments and with known networks. Responders were classified by their age and zone for future research purpose. The average age of responders was around 23yrs. Among 50 responders there is no much deviation and shows two or three slabs to be considered. Responders of retailer survey was categorised based on zones. Most of them were inside Tamil Nadu. This comes under one or two clearing and forwarding agent. CONSUMER RETAILER DATA ANALYSIS: 13 CRONBACH ALPHA VALUE: Cronbach alpha is statistical significance parameter to check internal consistency of the factors. Many research using Cronbach's alpha to characterise questionnaires aiming at evaluating aspects in the emotional domain might be referenced. The presence of a "high" alpha value does not mean that the measure is unidimensional. Additional analyses can be undertaken if you want to give proof that the scale in issue is unidimensional in addition to testing internal consistency. One way for determining dimensionality is exploratory factor analysis. Cronbach's alpha, in technical terms, is a coefficient of reliability, not a statistical test. 𝛼= 𝑁𝑐 𝑣 + (𝑁 − 1)𝑐 Variance as degree of freedom to calculate CA values checks the dispersion of values around all the factors in the reliability test. The discrepancies between service quality expectations and reality were measured with these statements. Cronbach's Alpha was used to assess the scale's dependability. DIMENSIONS RELIABILITY RESPONSIVEN ESS ASSURANCE EMPATHY TANGIBILITY RETAILE RS SURVEY 3 CRONBACH’S ALPHA 0.205 CONSUME RS SURVEY 4 2 0.816 4 0.766 2 2 3 0.323 0.832 0.852 2 3 2 0.673 0.592 0.327 CRONBACH ’S ALPHA 0.164 This shows there is gap in internal consistency for the reliability and tangibility which is third gap defined by the dimension. A reliability test is to be carried out in the survey values with the SPSS tool containing item total statistics. Which contains statistic of CA values if deleted to check the CA values for the service dimension if one of the parameters with least CA value removed. CONSUMERS SURVEY: Reliability Statistics Cron Cronbach's bach' Alpha Based s on Alph Standardize N of a d Items Items .773 .767 15 14 Item-Total Statistics Scale Mean if Item Deleted Scale Corrected Variance if Item-Total Item Deleted Correlation Squared Multiple Correlation Cronbach's Alpha if Item Deleted 45.96 44.856 .348 .529 .763 When you have any 46.30 problem, retailer shows sincere interest in solving it 44.255 .336 .496 .764 Services will be provided at the expected time 46.62 52.404 -.292 .331 .807 Retailer effectively handles expired or counterfeit drug issue 46.04 46.162 .236 .386 .772 The Retailer provides 46.14 services at short notice "if required" 43.021 .439 .519 .755 The Retailer provide home delivery service 45.88 41.740 .431 .361 .756 Staffs in the pharmacy 45.90 know to answer your queries 40.418 .664 .629 .735 Retailer quickly apologize when they make mistakes 46.00 40.694 .585 .564 .741 Retailers who are continuously courteous to us 46.14 41.021 .538 .684 .745 My retailer is reliable in terms of handling damaged medicines and solves problem immediately. 15 Retailer gives consumers individual attention. 45.82 43.783 .459 .650 .755 Personnel in the 45.80 pharmacy follow covid protocols 41.347 .655 .689 .738 Retailers provide personalized service to the consumers 45.98 41.816 .562 .547 .745 Retailer make efforts to understand consumer’s need. 45.90 45.276 .194 .598 .780 Retailer has sufficient physical facilities for storing drugs. 45.74 44.319 .398 .593 .759 The Retailer provides any facility to check the fake product 46.82 47.253 .127 .303 .780 In CA values if deleted questions with highest value should be addressed. Is what perceived in Retailer’s survey ANOVA Sum of Squares df Mean Square 161.968 49 3.305 Between Items 64.595 14 4.614 Residual 499.312 685 0.729 Total 578.667 700 0.827 740.635 749 0.989 Between People Within People Total F Sig 6.157 <.001 Grand Mean = 3.29 16 RETAILERS SURVEY: Reliability Statistics Cronbach's Alpha Cronbach's Alpha Based on Standardize N of d Items Items .885 .889 12 Item-Total Statistics Scale Mean if Item Deleted Scale Corrected Variance if Item-Total Item Deleted Correlation Squared Multiple Correlation Cronbach's Alpha if Item Deleted My Distributer is reliable in terms of handling damaged medicines and solves problem immediately 36.33 49.133 .611 .751 .875 Shipments contain damaged items/incorrect quantity 37.05 58.848 -.062 .640 .913 Distributor effectively handles expired or counterfeit drug 36.52 48.962 .529 .607 .881 When distributor 36.52 promises to deliver by a certain time, they do so 47.362 .638 .822 .873 17 The distributor provides services at short notice "if required" 36.43 48.257 .762 .784 .866 Personnel in the distribution know to answer your queries 36.76 46.590 .851 .870 .860 Distributers making retailers feel safe in their transactions 36.33 55.833 .314 .522 .888 Distributer give retailers individual attention 36.81 47.962 .670 .811 .871 Distributer provide personalized service to the retailers 36.52 50.462 .680 .742 .872 The distribution centre 36.67 has modern equipment 52.033 .619 .582 .876 Distributer has sufficient physical facilities for storing drugs 36.43 49.757 .743 .828 .869 The distributor 37.10 provides any facility to check the fake product 45.390 .868 .913 .858 Similar ways of rise in CA values if deleted in same question suggests that service dimension and the associated question should be addressed. ANOVA Sum of Squares df Mean Square 98.246 20 4.912 Between Items 15.377 11 1.398 Residual 124.040 220 0.564 Total 139.417 231 0.604 Between People Within People F Sig 2.479 0.006 18 Total 237.663 251 0.947 Grand Mean = 3.33 Service dimension of reliability and tangibility and the questions “The distributor/retailer provides any facility to check the fake product” and “My Distributer is reliable in terms of handling damaged medicines and solves problem immediately”. These questions are trigger due to supply chain has faced failure in terms of end to end visibility. End to end visibility indirectly restricts fake products used in actual market and we can have trust supply chain actors and their products. This paves the way for introducing visibility through a Bluetooth and Radio frequency based device to keep track of products. This study proposes a model and flowchart of process flow in handling the product tracking. RESULT AND DISCUSSION BLE and RFID: BLE, how it works? BLE – Bluetooth low energy BLE data transfer is a one-way communication. BLE beacon transmits packets of data at regular intervals. Data packets are received by apps/ software on smartphone nearby. This communication triggers necessary actions framed by the software. Passive Radio Frequency Identification Device: RFID is one way data communication device. When Radio signal from the reader reaches the tag, it charges the RFID tag. Returns Data in the form radio signal RFID reader reads the signal This communication triggers necessary actions framed by the software. 19 Read range(in metres) Power consumption Battery life BLE Upto 100m Less than 15mA Upto 48 months Passive RFID Upto 10 cm 2-3 years COST ANALYSIS: The most basic form of BLE costs around 50 rupees and we can further include some more sensors like GPS and temperature sensing. RFID is another form of device with simple specifications. Further we had discussion with sales team of pharma company. At first impression about supply chain there is no supervision of products by pharma companies when it reaches distributors. From manufacturer to distributor there was abduction of product and replacement of fake and substandard products. So we are supposed to use BLE and RFID technologies. We include three major supply chain Actors like following image. MANUFACTURERS DISTRIBUTION PROVIDERS Medical Equipment Stocking and sourcing locations Hospitals Pharmacies Operation supplies Communication Retail Pharmacies Pharmaceuticals B 20 Data associated with tag and beacon: 14 digit unique code, Batch number and size, date of manufacturing and expiry, manufacturing license number etc.. At each step, data from the tags are compared with data of manufacturer’s database. Any unmatched code will be considered as fake product. A flowchart for standard procedure of encountering visibility at checkpoint is visualized below. 21 Product validation- Flowchart: CONCLUSION 22 The service Delivery system(Gap 3) has faced more challenges during COVID 19 pandemic. A service delivery system is a collection of interconnected functions that provide services to consumers or clients, which are also in terms of inputs, processes, outputs, and results. Manufacturers unable to react and mitigate problems that are between distributors and retailers.With technologies like BLE, RFID there would be a strong supervision of product movement. Then the manufacturers will know each and every transactions happened and then they can guide the third parties.So, we made a framework to solve the issue through BLE and RFID that can track and trace products throughout the supply chain which would give end to end visibility.BLE and RFID in the supply chain provide end-to-end visibility. So any product that reaches the consumer through this technology should be considered a genuine product. BLE and RFID technologies are instrumental in terminating illegal stockpiles. In future cases, this excellence in the supply chain can sustain through the pandemic or endemic’s disruption and ensures complete service level. BLE and RFID gives the manufacturers the ability to track different goods/products in transit, giving a clear view of the inventory and activity. It also enables shippers to increase customer service, proactive status updates, limiting disruptions and risk mitigation. Pharma companies can prefer this model because there is not much change in the regular activities and cycle time. Knowledge transfer sessions are not required for the workers because the HHD(handheld devices) are so simple and compatible to use. This model ensures the manufacturers right product delivered to consumers at the right time. FUTURE SCOPE: There will always be opportunities in Supply Chain particularly in our project as BLE offers the potential for smart warehousing, where it can provide turn-by-turn directions, reducing process time. As it is a rapidly growing environment, systematic growth in service quality must be pursued further. Digitalisation is about to dominate in services with high-tech monitoring and remote-controlled equipment. As a result, the Health Care Supply Chain has the ability to change over time. REFERENCES 23 Ahmed Chtioui, Imane Bouhaddou, Asmaa Benghabrit, Abla Chaouni Benabdellah, Impact of Covid 19 on hospital supply chain, IEEE, December(2020). A. Heri Iswanto, Impact of lean six sigma at pharmacy unit on hospital profitability before and during Covid-19 pandemic, Emerald Publishing Limited, Volume 12 Issue 4, 10 March 2021. Amirhossein Mostofi, Vipul Jain, Inventory Management and Control Of Deteriorating Pharmaceutical Products U sing Industry 4.0, IEEE 2021 Bartosz ORZEŁ , Anna Maria horodecka, The adoption of ServQual method to analyze the quality assurance factors of personal 3 protective equipment for health care workers, s i l e s i a n u n i v e r s i t y o f t e c h n o l o g y p u b l i s h i n g h o u s e, series no. 151, 2021 Christian Zamiela, Niamat Ullah Ibne Hossain, PhD, Raed Jaradat, PhD, Enablers of resilience in the healthcare supply chain: A case study of U.S healthcare industry during COVID-19 pandemic, Elsevier & 24 December 2021 Daniel J. Finkenstadt, Robert B. Handfield, Tuning value chains for better signals in the post-COVID era: vaccine supply chain concerns, Emerald, Volume 41 Issue 8, 7 May 2021. Daniel Joseph Finkenstadt , Robert Handfield, Blurry vision: Supply chain visibility for personal protective equipment during COVID-19, Elsevier, Volume 27, Issue 3, June 2021 Derek Friday and David A. Savage, Steven A. Melnyk, Norma Harrison, Suzanne Ryan and Heidi Wechtler, A collaborative approach to maintaining optimal inventory and mitigating stockout risks during a pandemic: capabilities for enabling health-care supply chain resilience, Emerald Publishing Limited, Volume 11 Issue 2, 27 January 2021 H. Van Aken, Principles of Supply Chain Management In The Time of Crisis, Elsevier, Volume 35, Issue 3 ,10 November(2020). Hussein M. Al-Borie, Amal M. Sheikh Damanhouri, Patients’ satisfaction of service quality in Saudi hospitals: a SERVQUAL analysis, Emerald Publishing Limited, Volume 26 Issue 1,15 May 2011 Joseph Mathew, Joshin John and Dr. Sushil Kumar, “New Trends in Healthcare Supply chain”, Semantic scholar & 2013. ManMohan S. Sodhi , Christopher S. Tang & Evan T. Willenson, Research opportunities in preparing supply chains of essential goods for future pandemics, International Journal of Production Research, 18 January 2021. Mansi Sharma, Dr. Geeta Sikka, Blockchain based Approaches For Preventing Drug Counterfeit: A Survey, International Journal of Engineering Research & Technology (IJERT), Volume 9, Issue 8, 2021. 24 Manuel F. Morales-Contreras, Marcelo Leporati and Luciano Fratocchi, The impact of COVID-19 on supply decision-makers: the case of personal protective equipment in Spanish hospitals, . BMC Health Services Research, 2021. Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Behrouz Minaei-Bidgoli, Waleed Abdu Zogaaz, Ashwaq Alhargan, Saidatulakmal Mohd, Sharifah Nurlaili Farhana Syed Azhar, Shahla Asadi, Sarminah Samad, Revealing travellers’ satisfaction during COVID-19 outbreak: Moderating role of service quality, Elsevier, Volume 64, 21 September 2021. Nusin Akram, Zuleyha Akusta Dagdeviren, Vahid Akram, Orhan Dagdeviren and Moharram Challenger, “Design and Implementation of Asset Tracking System based on Internet of Things”, IEEE Xplore & 21 FEB 2021. Petra Ferk, Tunde Tatrai, Jan Telgen and Esmee Peters, Jane Lynch, Andrea S. Patrucco, Louise Knight, Christine Mary Harland, Practitioners’ learning about healthcare supply chain management in the COVID-19 pandemic: a public procurement perspective, Emerald Publishing Limited, Volume 41 Issue 13, 1 OCT, 2021. Petar Radanliev, David De Roure, Uchenna Ani, Graca Carvalho, The ethics of shared Covid-19 risks: an epistemological framework for ethical health technology assessment of risk in vaccine supply chain infrastructures, Health and Technology , 7 June 2021. Priscilia Octaviani and Win Ce, “Inventory Placement Mapping using Bluetooth Low Energy Beacon Technology for Warehouses”, IEEE Xplore & 13th Aug. 2020 Sonu Bhaskar, Jeremy Tan1, Marcel L. A. M. Bogers, Timo Minssen1, Hishamuddin Badaruddin1, Simon Israeli-Kornand Henry Chesbrough, At the Epicentre of COVID-19– the tragic failure of global supply chain for medical supplies, Frontiers in health public, 24 NOV,2020 S. Gokul Kumar, Shajin Prince, B. Maruthi Shankar, Smart Tracking and Monitoring in Supply Chain Systems using RFID and BLE, IEEE, 14 May 2021 Tharushi Ilangakoon, Samanthi Weerabahu, Ruwan Wickramarachchi, Combining Industry 4.0 with Lean Healthcare to Optimize Operational Performance of Sri Lankan Healthcare Industry, IEEE 2018. Wei Xu, Zhaotong Lian, Xifan Yao, Integrating RFID with Blood Supply Chain: A Technical and Business Analysis, IEEE, 2013. Uma Maheswari, Devi Parmata, Sankara Rao B and Rajashekhar, “Measuring service quality in pharmaceutical supply chain –distributor’s perspective”, Emerald Volume 10 Issue 3 & Aug 2016. Željko Stevi´c, Ilija Tanackov, Adis Puška, Goran Jovanov, Jovica Vasiljevi´c and Darko Lojaniˇci´c, Development of Modified SERVQUAL–MCDM Model for Quality Determination in Reverse Logistics, Sustainability MDPI, 20 May 2021. 25 Abdulsalam, Y., Gopalakrishnan, M., Maltz, A., & Schneller, E. (2015). Health care matters: supply chains in and of the health sector. Health care matters: supply chains in and of the health sector, 36, 335–339. Wiley Online Library. Ahsan, M. M., & Siddique, Z. (2022). Industry 4.0 in Healthcare: A systematic review. International Journal of Information Management Data Insights, 2, 100079. Alajmi, A., Adlan, N., & Lahyani, R. (2021). Assessment of Supply Chain Management Resilience within Saudi Medical Laboratories during Covid-19 Pandemic. Procedia Cirp, 103, 32–36. Beaulieu, M., & Bentahar, O. (2021). Digitalization of the healthcare supply chain: A roadmap to generate benefits and effectively support healthcare delivery. Technological forecasting and social change, 167, 120717. Cañas, H., Mula, J., & Campuzano-Boları́n, F. (2020). A general outline of a sustainable supply chain 4.0. Sustainability, 12, 7978. Chauhan, A., Jakhar, S. K., & Chauhan, C. (2021). The interplay of circular economy with industry 4.0 enabled smart city drivers of healthcare waste disposal. Journal of cleaner production, 279, 123854. Darwish, L. R., Farag, M. M., & El-Wakad, M. T. (2020). Towards reinforcing healthcare 4.0: A green real-time IIoT scheduling and nesting architecture for COVID-19 large-scale 3D printing tasks. Ieee Access, 8, 213916–213927. Daú, G., Scavarda, A., Scavarda, L. F., & Portugal, V. J. (2019). The healthcare sustainable supply chain 4.0: The circular economy transition conceptual framework with the corporate social responsibility mirror. Sustainability, 11, 3259. Elabed, S., Shamayleh, A., & Daghfous, A. (2021). Sustainability-oriented innovation in the health care supply chain. Computers & Industrial Engineering, 160, 107564. Farooq, M. U., Hussain, A., Masood, T., & Habib, M. S. (2021). Supply chain operations management in pandemics: a state-of-the-art review inspired by COVID-19. Sustainability, 13, 2504. Ghobakhloo, M., Fathi, M., Iranmanesh, M., Maroufkhani, P., & Morales, M. E. (2021). Industry 4.0 ten years on: A bibliometric and systematic review of concepts, sustainability value drivers, and success determinants. Journal of Cleaner Production, 302, 127052. Kazemzadeh, R. B., Sepehri, M. M., & Jahantigh, F. F. (2012). Design and analysis of a health care supply chain management. Advanced Materials Research, 433, pp. 2128–2134. 26 Kumar, M. S., Raut, R. D., Narwane, V. S., & Narkhede, B. E. (2020). Applications of industry 4.0 to overcome the COVID-19 operational challenges. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14, 1283–1289. Kumar, P., Singh, R. K., & Kumar, V. (2021). Managing supply chains for sustainable operations in the era of industry 4.0 and circular economy: Analysis of barriers. Resources, Conservation and Recycling, 164, 105215. Liu, K. P., & Chiu, W. (2021). Supply Chain 4.0: the impact of supply chain digitalization and integration on firm performance. Asian Journal of Business Ethics, 10, 371– 389. Moosavi, J., Bakhshi, J., & Martek, I. (2021). The application of industry 4.0 technologies in pandemic management: Literature review and case study. Healthcare Analytics, 1, 100008. Olutuase, V. O., Iwu-Jaja, C. J., Akuoko, C. P., Adewuyi, E. O., & Khanal, V. (2022). Medicines and vaccines supply chains challenges in Nigeria: a scoping review. BMC Public Health, 22, 1–15. Spieske, A., & Birkel, H. (2021). Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic. Computers & Industrial Engineering, 158, 107452. Srivastava, D. K., Kumar, V., Ekren, B. Y., Upadhyay, A., Tyagi, M., & Kumari, A. (2022). Adopting Industry 4.0 by leveraging organisational factors. Technological Forecasting and Social Change, 176, 121439. Tortorella, G. L., Fogliatto, F. S., Mac Cawley Vergara, A., Vassolo, R., & Sawhney, R. (2020). Healthcare 4.0: trends, challenges and research directions. Production Planning & Control, 31, 1245–1260. 27 28