Can Pharma Quality Go High Tech?

"There were questions of how to handle tech transfer, factory and site acceptance tests, and regulatory inspections when the world was no longer travelling," he says. Since July, Stracquantanio says, usage of the platform has expanded by a factor of 17, and new site deployments by a factor of ten. The company is now using the remote approach with all major global regulatory agencies. Since Catalent hosts or performs more than 500 audits each year, new technology has allowed Catalent to keep pace, while observing social distancing requirements, Montano adds. Live facility tours are filmed with a 360-degree camera, and 3-D tours with a 3-D mapping camera, says Sandy Immerman, vice president of Information Technology (IT), Pharma Services. [...]this year, Immerman says, Thermo Fisher has hosted multiple regulatory inspections and more than 125 client audits, focusing efforts on current good manufacturing practice (CGMP) activities in work that has involved FDA, the European Medicines Agency, which issued formal guidance on the use of this technology last May (3), the Russian Ministry of Health (MoH), and the Swedish Medical Products Agency.

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer

This paper proposes an automated classification method of COVID-19 chest CT volumes using improved 3D MLP-Mixer. Novel coronavirus disease 2019 (COVID-19) spreads over the world, causing a large number of infected patients and deaths. Sudden increase in the number of COVID-19 patients causes a manpower shortage in medical institutions. Computer-aided diagnosis (CAD) system provides quick and quantitative diagnosis results. CAD system for COVID-19 enables efficient diagnosis workflow and contributes to reduce such manpower shortage. In image-based diagnosis of viral pneumonia cases including COVID-19, both local and global image features are important because viral pneumonia cause many ground glass opacities and consolidations in large areas in the lung. This paper proposes an automated classification method of chest CT volumes for COVID-19 diagnosis assistance. MLP-Mixer is a recent method of image classification using Vision Transformer-like architecture. It performs classification using both local and global image features. To classify 3D CT volumes, we developed a hybrid classification model that consists of both a 3D convolutional neural network (CNN) and a 3D version of the MLP-Mixer. Classification accuracy of the proposed method was evaluated using a dataset that contains 1205 CT volumes and obtained 79.5% of classification accuracy. The accuracy was higher than that of conventional 3D CNN models consists of 3D CNN layers and simple MLP layers. © 2023 SPIE.

Preface

The title of the ConferenceXXII Conference of PhD Students and Young Scientists "Interdisciplinary topics in mining and geology”The location and the date of the conferencevirtual event – online conference, June 29th to July 1st, 2022 in Wrocław, PolandXXIInd Conference of PhD Students and Young Scientists "Interdisciplinary topics in mining and geology” continues a series of events that started in 2000 at Wrocław University of Science and Technology. Scientific programme of the Conference focuses on four thematic panels:1. Mining Engineering: sustainable development, digitalisation in mining, problems of securing, protecting and using remnants of old mining works, underground mining, opencast mining, mineral processing, waste management, mining machinery, mine transport, economics in mining, mining aeronautics, ventilation and air conditioning in mines,2. Earth and Space Sciences: geology, hydrogeology, environmental protection, extraterrestrial resources, groundwater and medicinal waters, engineering and environmental protection, geotourism,3. Geoengineering: environmental protection, applied geotechnics, rock and soil mechanics, geohazards,4. Geoinformation: mining geodesy, GIS, photogrammetry and remote sensing, geodata modeling and analysis.The XXII Conference of PhD Students and Young Scientists was held as a virtual event, that is as a virtual, online conference in real-time. The reason why the Organizing Committee decided to change the traditional formula of the event to online formula was related to the concern for the health of the participants due to the COVID-19 epidemic.The XXII Conference of PhD Students and Young Scientists took place from June 29th to July 1st, 2022 in Wroclaw, Poland. That is the organizers worked and managed the event from the Wrocław University of Science and Technology Geocentre building. Because the conference focused on four thematic panels, four different special opening lectures were delivered by wellknown scientists- Professor Jan Zalasiewicz (University of Leicester, England)- Associate Professor Artur Krawczyk (AGH University of Science and Technology, Poland)- Professor Biljana Kovacević-Zelić (University of Zagreb, Croatia)- Assistant Professor Eduard Kan (Tashkent Institute of Irrigation and Agricultural Mechanizations Engineers, Uzbekistan).The Conference was divided into 8 oral sessions (with 33 presentations) and 1 poster session (with 33 posters). The amount of time provided to one presentation was 15 minutes, after presentation there was 5 minutes available for discussion. The poster session was available throughout the event, and the posters were available for online viewing on the Conference's website with the possibility of make discussion and ask questions in real time via zoom meeting application as well. Every day of the Conference one "virtual coffee break” was devoted for discussion between participants and question and answer session for the Organizers.There were 96 registered participants from 13 countries. The online XXII Conference of PhD Students and Young Scientists was conducted using the Zoom meeting platform with commemorative screen shots taken. By tradition two competitions, for the best oral presentation and for the best poster were held. The award for the best oral presentation was given ex aequo to Julia Tiganj (TH Georg Agricola University of Applied Sciences, Germany) for the presentation entitled Post-mining goes international: hurdles to climate neutrality using the example of China and Oksana Khomiak, Jörg Benndorf (TU Bergakademie Freiberg, Germany) for the presentation entitled Spectral analysis of ore hyperspectral images at different stages of the mining value chain, whereas the best poster was awarded to Adam Wróblewski, Jacek Wodecki, Paweł Trybała, Radosław Zimroz (Wrocław University of Science and technology, Poland) for the poster entitled Large underground structures geometry evaluation based on point cloud data analysis.List of Scientific Committee, Organizing Committee, Editorial Team are available i this pdf.

E‐commerce and supply chain resilience during COVID‐19: Evidence from agricultural input e‐stores in China

COVID‐19 has caused major disruptions to agricultural supply chains around the world. Researchers and policy‐makers are interested in identifying means to reduce the disruptive effects caused by the pandemic. We investigate the impacts of COVID‐19 on the operation of e‐commerce stores (in short, e‐stores) specialising in agricultural inputs. The difference‐in‐differences method (DID) is employed to estimate the causal relationship between COVID‐19 and online sales of agricultural inputs using data from 54,244 agricultural input e‐stores registered in 118 prefecture‐level cities across 15 provinces and hosted on two major Chinese e‐commerce platforms. The results show that COVID‐19 led to a substantial growth in monthly sales of agricultural input e‐stores, and this growth of online sales varied across store scales and by types of agricultural inputs. In particular, e‐stores selling seeds and seedlings experienced a larger growth in sales than stores selling agricultural machinery and implements, and the mid‐ and larger‐scaled e‐stores experienced more growth of sales than micro‐ and small‐scaled e‐stores. Further analysis reveals that the growth of online sales of agricultural inputs was driven mainly by an increase in the quantity of customer orders (QCO). The findings of this paper underscore the importance of e‐commerce in ensuring the resilience of the agricultural supply chain during the pandemic period.

Impact of autonomous solutions on earthmoving electrification using machine learning: case study

PurposeThis research aims to investigate the adoption of future technologies in earthmoving applications. The increased development in automated driving systems (ADS) has opened up significant opportunities to revolutionize mobility and to set the path for technologies, such as electrification. The research also aims to explore the impact of automation on electromobility in earthmoving applications.Design/methodology/approachThis paper adopts a multi-objective simulation-based optimization approach using machine learning in earthmoving applications.FindingsThis study concludes that ADS is "conditionally” an enabler for electrification. The study highlights and explains how local and global factors affect this conclusion. In addition to that, the research explores the impact of the equipment size on the integration of future mobility technologies. The shift from "elephant to ants” in the fleet selection resulted in improved feasibility from the integration of ADS in electrification.Originality/valueThis research provides fundamental considerations in the assessment of the impact of autonomous driving solutions on electromobility in the construction industry.

Successful Introduction of a Novel, High Dogleg Rotary Steerable System

Rotary Steerable Systems (RSS's) have proven beneficial over conventional steerable motor systems, which has driven significant market uptake over the last several decades. Consequently, applications for RSS's have expanded and encouraged RSS technology developers to meet these ever-changing market demands. Modifications to the basic proven RSS methods, attempted independent reproductions of those methods, and other novel methods have emerged to fulfill these market demands. The initial RSS method and technique were invented and proven in the late 1990s, and common ways of creating wellbore deflection emerged, allowing the industry to attempt the classification of these methods. These classifications were an attempt to gain a better understanding of the advantages and disadvantages of each and help understand where and what version of technology to apply for an ever-increasing expansion of applications. This paper describes the attempts at classification of RSS's, then addresses the drivers, development, and field trial results of a new method for placing wells using a high dogleg automated rotary steering system (SwR;Steering-while-Rotating). The SwR was targeted to meet market changes identified in 2016 and projected out ten (10) years by the SwR technical team. Simplicity, fostering reliability and value were major design tenets. A high dogleg curve (20°/100') design, enabling "one-run, Vertical, Curve, and Lateral" bottom hole assemblies, two-way (uplink-downlink) downhole communications along with autonomous self-steering capability, also drove the SwR development. The initial SwR prototype system for 8-3/8"-9-7/8" hole sizes was built, and field trials began in Q3 of 2019. The SwR team weathered the global Covid-19 pandemic of 2020-21 with the rest of the world and deployed systems to the Middle East, while also securing and executing trial and commercial runs within North America in 2021 and 2022. Conclusions are based upon, and data is presented from thirty-seven (37) bit runs and the first 50,000 feet drilled with the SwR. The SwR team has delivered a unique steering method to the industry and presents the early run data demonstrating the SwR technology capability to drill challenging well profiles, in challenging environments. The SwR technology was designed for the RSS market of today and for several years to come improving the value proposition for modern RSS well placement technology. Copyright © 2023, Society of Petroleum Engineers.

Post-COVID-19 strategic sourcing decisions for escorting stakeholders' expectations and supplier performance in construction project works

PurposeThe occurrence of COVID-19 has impacted the wide-reaching dimensions of manufacturing, materials, procurement, management, etc., and has loaded disruptions in the wide range of supply chain (SC) activities. The impact of COVID-19 has twisted supplier performance and influenced stakeholders' thinking towards selecting supplier sources and making strategic sourcing decision for convinced arrangement of construction management (CM) resources. Nowadays, suppliers are intently evaluated by stakeholders in post-COVID-19 phase to induce agile availability of CM resources. Accordingly, this paper aims to demonstrate competent CM dimensions under post COVID-19 scenario for ease managing construction projects by the stakeholders.Design/methodology/approachThe authors have implicated Grey Sets Theory along with decision-making trial and evaluation laboratory (DEMATEL) technique for understanding significant outcomes. Varieties of diverse decision aspects responsible for strategically influencing supplier sourcing decision is projected under post COVID-19 scenario for handling construction projects by the stakeholders.FindingsThis study investigated sustainable construction management dimensions (SCMD) at the stage of resource deliveries and client aspirations under post COVID-19 situation. The study demonstrated "Lead time” as the most crucial, "Product Range” as the second and "Customers dealings and relationship” as the third crucial aspect considering by the stakeholders for selecting supplier sources based on the attainment of performance score of 0.1338, 0.1273 and 0.1268, respectively. It is found that high lead time stimulates the stakeholders to divert their orders to other competent supplier sources holding a low degree of lead time as compared.Research limitations/implicationsThe present study rollovers its existence by serving critical thinking, conceptual modelling, criteria identification and evaluation under CM domain for drafting effectual strategies by the suppliers. The study investigated the impact of COVID-19 on stakeholders' decision-making and enlisted SCMD that strategically stimulated them in choosing supplier sourcing decision.Originality/valueThe present study realizes the insights of stakeholders in the post COVID-19 scenario related to the supplier sources based on performance score. The study quantified sustainable supplier attribute for construction work and practices. The study analysed the expectations of the stakeholders purchasing different varieties of construction materials from supplier sources for civil works in the post COVID-19 scenario.

Russia's Utilization of the COVID-19 Pandemic: Lockdowns, Re-Sovereignization, and Disengagement from the West

This article discusses the challenges that the COVID-19 pandemic poses to the current concepts of globalization, universality of human rights, and the rules-based international order. This article discusses how Russia has used the COVID-19 pandemic to accelerate its move away from Western ideas and institutions so as to solidify the power of its executive branch. In particular, this article examines the Russian Constitutional Court in its dealings with both the 2020 Russian constitutional amendments and the government's lockdown measures. This article concludes that the Russian Constitutional Court-which is supposed to serve as a key guarantor of fundamental rights of citizens against the machinery of the state-is becoming increasingly politicized, which threatens the Court's independence. Russia's desire to strengthen the power of the executive branch, to retreat further into traditional notions of sovereignty, and to move away from international norms and institutions, is not unique. The COVID-19 pandemic has served as a powerful catalyst in magnifying and intensifying the existing divisions in the current international order.

New institutional leadership goes viral EU crisis reforms and the coming about of the covid recovery fund

This article reconstructs the coming about of the 750 billion EU Covid Recovery Fund. We provide an embedded process‐tracing analysis of the dynamics from mid‐March 2020, when the idea of ‘Corona‐bonds' was parachuted onto the Heads' Agenda, up until the ‘historic' deal on the Multiannual Financial Framework and Recovery Fund of 21 July. Where most media accounts and scholarly assessments focus on the high‐level deal making between political leaders, we trace the proceedings inside the EU's institutional machinery, which produced the solutions and laid out the groundwork for a deal. The reconstruction assesses the role and influence of the EU institutions – the European Commission in particular – in producing this major step. We show that the process was characterized by a handicapped European Council, which hampered the ability of member states to oversee and control developments. The conclusions discuss the implications of our findings for our understanding of (institutional) leadership and policy making during crisis.

Analytical Overview of Digital Cloud Services

Over the past twelve years, cloud systems have significantly changed business processes in all areas of business. Companies are using cloud services as a key factor in completing their digital transformation, and the COVID pandemic has further accelerated this task. The cloud is emerging as a top management agenda item as companies move from a separate approach to a more holistic, end-to-end digital transformation driven by the cloud. Cloud services save businesses time and money by increasing productivity, improving collaboration, and driving innovation. Now—during the coronavirus crisis, more than ever, cloud services are vital to help companies re-discover, reinvent and overcome uncertainty. Cloud services range from data storage to functional software, including accounting software, customer service tools, and remote desktop hosting. These services can be divided into three groups: infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). This article is devoted to an analytical overview of modern digital cloud services, and the services they provide that can be applied in all areas of business. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

The effect of sustainable product design on corporate sustainability: The example of manufacturing enterprises in Türkiye

Companies must meet the requirements and expectations of their customers to ensure their existence. In this sense, the main goal of this study is to show the impact of sustainable product design on corporate sustainability. The universe of the study consists of business managers who work in the metal products and machinery industry. They operate in Şanlıurfa province, which is located in the south-eastern region of Türkiye and is the second-largest city in the region and is an industrial city. We used random sampling method in the study. We collected data from the participants by meeting face to face with the help of the questionnaire we created. We analysed the collected data by applying quantitative research methods and statistical analysis techniques. We found that there is a positive and significant relationship between sustainable product design and the sub-dimensions of corporate sustainability. We also reported that sustainable product design has an impact of approximately 16% on corporate sustainability. In 2022, we encountered some difficulties while collecting data due to the effects of the Covid-19 outbreak. It is prepared for that the findings gained in this investigation will contribute to the literature by shedding light on studies planned for the future. In addition, the study was limited to correlation and simple regression analyses. It is recommended that other methods of analysis be used in future studies. © 2022 The authors.

Modeling of Six-Phase Induction Machine with Two Isolated Neutrals under One Open Phase Fault

Due to the COVID-19 pandemic, traditional laboratory sessions or face-To-face demonstrations for advanced electrical engineering level students in the field of power electronics and drives had to be substituted by e-learning to accommodate the new virtual teaching environment. This paper explains the operation of a symmetrical six-phase induction drive having two isolated neutrals configuration (2N) under one open phase fault (OPF) as a case study. The whole system, including the OPF, has been modeled in MATLAB Simulink which is intended for teaching and research purposes in the field of power electronics and drives. The aim of this paper is to elaborate the pre-and post-fault behaviour of the stator current, speed and torque. The machine model presented here is based on vector space decomposition (VSD) and controller using Indirect Rotor Field Oriented Control (IRFOC). In addition, this paper explains the external resistance used to initiate the OPF. The described MATLAB simulation helps the students to understand and observed the amplitude of stator current during pre-and post-fault conditions with respect to the mechanical loading. This model allows preliminary analysis for monitoring and comparison of machine performance. © 2022 IEEE.

Migrants and the Inclusive Policy Framework: Has Kerala Set the Precedent for Others to Emulate?

Migrants are subjects that are often left out in the policy discourse, even though India has one of the largest floating populations in the world. At times when the migrant communities are facing scornful events at different quarters of their lives, the State of Kerala has addressed similar concerns through policy deliberations framed with the utmost care and importance, thus emerging as the pro-migrant State in the country. The article incorporates a discussion on the various policy initiatives adopted by the State machinery for the welfare and betterment of inter-state migrant workers employed in the State. Expanding the scope, the study deals with the different policy interventions adopted by the State machinery to address the vulnerabilities of in-migrants which emerged during the ongoing COVID-19 pandemic. An evaluation of the State's existing migrant related policy framework points to the extent of its effectiveness in sensitising and improving the lives of inter-state migrants. Through these efforts, the Government of Kerala sends a strong message on the inevitability of having an inclusive and unified approach in identifying and addressing the needs of the migrant community by transcending the trivial human-made distinctions while keeping human beings and humanity at the centre of all actions.

Analytical Overview of Digital Cloud Services

Over the past twelve years, cloud systems have significantly changed business processes in all areas of business. Companies are using cloud services as a key factor in completing their digital transformation, and the COVID pandemic has further accelerated this task. The cloud is emerging as a top management agenda item as companies move from a separate approach to a more holistic, end-to-end digital transformation driven by the cloud. Cloud services save businesses time and money by increasing productivity, improving collaboration, and driving innovation. Now—during the coronavirus crisis, more than ever, cloud services are vital to help companies re-discover, reinvent and overcome uncertainty. Cloud services range from data storage to functional software, including accounting software, customer service tools, and remote desktop hosting. These services can be divided into three groups: infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). This article is devoted to an analytical overview of modern digital cloud services, and the services they provide that can be applied in all areas of business. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Research advances in the role of RNA m5C in viral replication

It is well-known that RNA is the target of numerous chemical modifications which currently amount to over a hundred. Among them, 5-methylcytosine (m5C) is a prevalent RNA modification in multiple eukaryotic RNA species, such as messenger RNAs (mRNAs), transfer RNAs (tRNAs), ribosomal RNAs (rRNAs), vault RNAs (vtRNAs), long non-coding RNAs (lncRNAs) and enhancer RNAs (eRNAs). In recent years, several techniques for detecting m5C have been developed, including UPLC-MS/MS, m5C-MeRIP-seq, PA-m5C-seq, RNA-BisSeq and nanopore sequencing. The rapid development of these high-throughput techniques sharply facilitates the in-depth studies of the biological functions of m5C. The m5C modification is enriched around start codon along mRNAs and conserved in tRNAs and rRNAs. It is a reversible RNA modification catalyzed by methyltransferases (NSUN, DNMT, and TRDMT family members) and removed by demethylases (TET family members and ALKBH1). The m5C modification can be recognized by a set of RNA-binding proteins (YBX family members, ALYREF and FMRP) and is widely involved in the regulation of RNA metabolic processes, including nuclear export, stability and translation. In addition, the dysregulation of m5C modification is closely related with the defect of DNA repair, cell proliferation, embryonic development and stem cell differentiation. Viruses are infectious agents that rely on host cells for replication. They have evolved numerous strategies to shape the cellular biosynthesis and metabolism machinery of hosts to complete their life cycle and propagate. One strategy is to modify viral RNAs using host m5C RNA methyltransferases (NSUN1, NSUN2, NSUN5 and DNMT2), and thus directly regulates their transcription, splicing and translation. So far, combined with the high-throughput techniques, some viral m5C landscapes have been precisely depicted, including human immunodeficiency virus type (HIV-1), murine leukemia virus (MLV), Epstein-Barr virus (EBV), and so on. Studies showed that the m5C level of retroviral mRNAs is much higher than cellular mRNAs, suggesting this modification can be a special marker for host cells to distinguish “self” and “non-self”. In addition, the m5C methylome of cellular RNAs is dynamically regulated under viral infection, leading to the suppression of host innate immunity. Therefore, it will be of great significance in the design and development of novel antiviral drugs by systemically understanding the molecular mechanisms of m5C modification in controlling viral replication and host innate immunity. In this review, the latest findings of m5C methyltransferases, demethylases, reader proteins and high-throughput sequencing techniques are presented. We discuss how m5C modification is catalyzed and recognized on viral RNAs of retrovirus, DNA virus, flavivirus and coronavirus. Furthermore, we summarize the roles of RNA m5C modification in viral replications and host innate immunity. This review will provide some valuable information for understanding the epigenetics in viral RNAs. © 2022 Chinese Academy of Sciences. All rights reserved.

A Spontaneous Adoption of AR Technology a manufacturing industrial context

Digital transformation is a process encompassing all organizations, requiring a proactive attitude and willingness to change. The Covid-19 pandemic highlighted the relevance of digitization through an increased awareness and implementation of digital tools for working life. The next wave of successful innovation in industry demands high-pitched adoption of technologies for production and workplace learning systems. Organizations are trying to understand which technologies to invest in, based on usability measures, cost effectiveness, and sustainability. It can be hard to predict which technology is best suited for specific tasks. This implies a growing risk regarding investments in technology. This paper describes the spontaneous use of technology for augmented reality (AR, Microsoft HoloLens 2) in a Norwegian manufacturing company during Covid-19. The case illustrates how AR technology can be used in assembling, installation and acceptance testing of machinery for selective soldering in the production of circuit boards. Data were collected through case study research and a qualitative research design, through observation and interviews with the participants. The results show that Microsoft HoloLens 2 is easy to adopt and could contribute to immediate and real value creation in industrial production companies. We believe that the spontaneous usage of AR technology in such extraordinary circumstances as a pandemic could motivate and guide other businesses facing important decisions related to technology implementation. The original value of this article is a contribution to the discussion on the Technology Acceptance Model, which is chosen as a theoretical framework for the paper. © 2022, IFIP International Federation for Information Processing.

ACCESS TO WRITTEN CULTURE AS INDICATOR OF ECONOMIC DEVELOPMENT IN THE URBAN-RURAL INTERFACE OF BUCHAREST, ROMANIA

Written culture was always considered an indicator of civilisation. The aim of this paper is to analyse the distribution of development and of accessibility to written culture in the urban-rural interface (U-RI) of Bucharest, Romania, to assess their correlation and the impact of the current pandemic crisis. Based on the population's perception regarding their accessibility to written culture through the application of over 200 questionnaires, the analysis showed that bookstores and libraries are mostly competitors. The number of readers and read books is decreasing in the U-RI due to the lack of prioritisation of these services by the local authorities, as reflected in a general decreasing trend of the number of written culture users. The consumption of literature in new formats contributes to less place-dependent cultural services, especially in the high-income areas, while the Principal Component Analysis of cultural data demonstrates a clustering of localities in the U-RI that is strongly correlated with the economic and demographic characteristics of those areas. However, despite the increased accessibility to online, non-place-dependent written culture, the numbers of books read and bought in both physical and digital format had a generally decreasing trend during the pandemic.

Predicting Zero-Bin in the Semiconductor Manufacturing Industry: Machine Learning Algorithms

The semiconductor industry has faced supply chain manufacturing shortages that ultimately led to a worldwide chip shortage during the COVID-19 pandemic. These chip manufacturers use sophisticated and advanced manufacturing machinery in their fabs to manufacture chips. As experienced during the pandemic, manufacturing unavailability is often due to the lack of critical manufacturing-related spare parts. This thesis evaluates the effectiveness of machine learning algorithms to identify significant factors contributing to manufacturing part outages (i.e., zero-bin) to keep manufacturing equipment running at total capacity within the organization. We propose clustering methods to segment the data and use logistic regression, logistic lasso regression, and kNN approaches to identify important factors for those parts that could go to zero-bin. Extant research applies classic inventory management strategies based on expenditure, criticality, or usage to manage their parts' inventory throughout the year. Instead, the proposed methods explore whether predefined, static inventory parameters can predict whether a spare part reaches zero bin. To demonstrate the viability of this approach, we present a case study using one year's worth of data from a leading chip manufacturing company. Based on the modeling approaches, a lasso-based logistic regression proved the best predictive model amongst the five clusters with lead-time, current quantity available, days on inventory (usage remained relevant), and the part's reorder point being the most significant parameters. © 2022 IISE Annual Conference and Expo 2022. All rights reserved.