Shortage Of Materials Research Articles

Impact of incorporating FeNbC into weld flux on the abrasive wear resistance of coatings produced by SAW in a microalloyed steel

Owing to the global shortage of raw materials and an increase in their prices, there is a growing demand for engineering solutions to increase the lifespan and durability of equipment and components. Therefore, this study aims to combine surface engineering and welding engineering to produce a niobium-rich coating using submerged arc welding (SAW) deposition. SAW is a cost-effective technique that allows high deposition rates and technical simplicity, which can enhance mechanical properties and resistance to abrasive wear of components. This research involves the addition of a FeNbC powder alloy in percentages of 5, 10, and 15 wt% to a neutral commercial SAW flux, as an alternative to adding Nb to the microstructure of the deposited coating. The coating was characterized by optical microscopy to analyze the microstructure, such as the presence of phases; microhardness through a Vickers micro-durometer, and resistance to abrasive wear through the loss of mass using a rubber wheel-type abrasometer. The wear mechanisms were evaluated using scanning electron microscopy. The results showed that a Nb-rich coating can be deposited via SAW, and the coatings successfully increased microhardness by up to 110% and resistance to abrasive wear to values higher than the base metal used (microalloyed steel). The microstructure formed was rich in Fe2Nb and NbC, proving the formation of Nb-rich phases. Additionally, the mechanism of abrasive wear was predominantly plastic for the base metal and changed to micro-cutting and micro-plowing after the addition of up to 15% of FeNbC.

Анализ закупок дезинфицирующих средств в медицинских организациях. Часть 2. 2020–2022?гг.

The COVID-19 pandemic had an impact on all spheres of public health. The multiplied load on medical organizations, forced use of unsuitable premises for treatment of people could not but affect disinfection activities. In addition, given the closed borders in 2020, there was a shortage of both raw materials and ready disinfectants on the market. On the one hand, this situation has led to an explosive interest of the business community in the disinfectants market. This is evidenced by the increased number of disinfectants registered in the Russian Federation from 164 in 2019 to 467 and 471 in 2020 and 2021, respectively. In this study, we analyzed technical specifications for the procurement of disinfectants by medical organizations posted on www.zakupki.gov.ru. Despite the fact that during the period there were relaxations in the procurement legislation that allowed medical organizations to directly purchase disinfectants from suppliers, the analysis revealed significant deviations in 2020 and 2021 in the consumption of disinfectants compared to 2017–2019 and 2022. For example, the consumption of disinfectants based on sodium hypochlorite increased significantly. Also, with the shortage and increased cost of alcohol-based skin antiseptics, purchases of soaps with antibacterial properties have increased, which is especially noticeable in 2021. However, the 2022 purchases indicate that healthcare organizations are returning to normal operations and their consumption of disinfectants is becoming similar to that seen in 2017–2019. Keywords: disinfectants, auctions, hospital-acquired infection.

Accounting journal entries as a long‐term multivariate time series: Forecasting wholesale warehouse output

AbstractLess than 2 years ago, many small entrepreneurs in the commodities trading business faced price volatility, which had not been the case for the last few decades. Generally, the income section of the profit and loss statement was not the main problem, especially in building material commodities trading, due to the recent growth in real estate demand. Logistic disorders, raw material shortages, inflation, and interest rate growth caused difficulties in supply management and warehouse balancing, which were reflected in a particular significant expense called the cost of goods sold. The real problem of its forecasting was identified, and data from accounting books likely contain information about previous warehouse dynamics. This paper presents how accounting data are prepared and shaped into time series suitable for machine learning algorithms, the relevant literature that helped in algorithm selection, and the development and description of the forecasting model, as well as its benchmarking with traditional forecasting models. Visualization and mean squared error loss measured on unseen data show that the model has proven more successful than expected. Based on data from four journal accounts spanning over 14 years, the model predicts the debit and credit sides of the wholesale warehouse for 150 working days.

ИНИЦИАТИВЫ ВСЕМИРНОЙ ОРГАНИЗАЦИИ ЗДРАВООХРАНЕНИЯ В СФЕРЕ ПОВЫШЕНИЯ БЕЗОПАСНОСТИ ПАЦИЕНТОВ И ИХ РЕАЛИЗАЦИЯ В РОССИЙСКОЙ ФЕДЕРАЦИИ

Currently, patient safety is one of the most important areas of healthcare, and it requires global coordinated efforts. The term "patient safety" covers various aspects, including the prevention of errors and adverse events, minimising risks of infections associated with medical care, ensuring proper use of equipment and effective interaction between patients and medical staff. World Health Organization (WHO) as a specialized unit of the United Nations in the field of global health has a unique international position and authority. It collects and analyzes data from around the world, conducts research and consults member countries within its competence, including medical care safety. In the Russian Federation, the movement for patient safety is still in the process of formation, many medical organizations, when implementing modern principles of safe medical care, face a shortage of practical manuals and other methodological materials. This literature review is devoted to the analysis and systematization of WHO initiatives in the field of improving patient safety. The review pays special attention to WHO's practical recommendations for improving patient safety, which can be used in medical organizations. The review also provides an analytical assessment of the implementation of the main activities aimed to improve patient safety in the Russian Federation. Thus, this study will be interesting to a wide range of readers, especially health care managers and medical professionals who plan to implement the principles of safe medical care in their organizations.

UCST-Type Soluble Immobilized Cellulase: A New Strategy for the Efficient Degradation and Improved Recycling Performance of Wastepaper Cellulose.

This paper reports an innovative study that aims to address key issues in the efficient recycling of wastepaper cellulose. The research team utilized the temperature-responsive upper critical solution temperature (UCST) polymer P(NAGA-b-DMA) in combination with the LytA label's affinity for choline analogs. This innovative approach enabled them to successfully develop a novel soluble immobilized enzyme, P(NAGA-b-DMA)-cellulase. This new enzyme has proven highly effective, significantly enhancing the degradation of wastepaper cellulose while demonstrating exceptional stability. Compared with the traditional insoluble immobilized cellulase, the enzyme showed a significant improvement in the pH, temperature stability, recycling ability, and storage stability. A kinetic parameter calculation showed that the enzymatic effectiveness of the soluble immobilized enzyme was much better than that of the traditional insoluble immobilized cellulase. After the immobilization reaction, the Michaelis constant of the immobilized enzyme was only increased by 11.5%. In the actual wastepaper degradation experiment, the immobilized enzyme was effectively used, and it was found that the degradation efficiency of wastepaper cellulose reached 80% of that observed in laboratory conditions. This novel, thermosensitive soluble immobilized cellulase can efficiently catalyze the conversion of wastepaper cellulose into glucose under suitable conditions, so as to further ferment into environmentally friendly biofuel ethanol, which provides a solution to solve the shortage of raw materials and environmental protection problems in the paper products industry.

Palm oil-based biodiesel industry sustainability model using dynamic systems to balance food, energy, and export allocations

Indonesia stands as one of the foremost global palm oil producers, contributing to 85 % of the world's total production. Given the substantial output of Crude Palm Oil (CPO), these raw materials find diverse applications in daily life. In a bid to decrease reliance on fossil fuels, Indonesia initiated the blending of fossil fuels with biodiesel in 2006. Beyond energy purposes, CPO raw materials are crucial for both domestic consumption and exportation. However, improper management could lead to raw material shortages. This study employs dynamic system modeling to assess the availability of biodiesel, CPO production, and their equilibrium concerning Indonesia's blended biodiesel target. Key parameters, such as available land, anticipated land expansion, optimized CPO production on less productive land, Indonesian CPO exports, and the mandatory biodiesel program, will be considered. Various scenarios or tests will be applied to gauge the continuity of CPO and biodiesel production. The results will undergo validation using the MAPE method. The simulation's results reveal that the rate of new land expansion and the optimization of unproductive land have negligible effects on meeting the blended diesel target. Intensified optimization of unproductive land, particularly in community plantations, is crucial, necessitating incentives for enhanced replanting funds. A reduction of 8 % in CPO export level, in turn, has a noteworthy impact on achieving the blended diesel target in Indonesia.

Pengendalian Persediaan Bahan Baku Untuk Lemari Tipe Sliding Door Glass (Studi Kasus di PT Alba Unggul Metal)

PT Alba Unggul Metal faced several operational problems in its production activities. In this study, the focus is on standard products owned by PT Alba Unggul Metal, especially SDG type cabinets, due to delays in delivery schedules caused by scarcity of raw materials, most are SDG type cabinets. The purpose of this study was to plan the raw material requirements for SDG type cabinets so that there is no scarcity of raw materials in the warehouse. The method used is the Economic Order Quantity method, the Period Order Quantity method and the Min-Max method. After analysis and discussion, it is known that the Economic Order Quantity method is the most optimal method compared to the Period Order Quantity method and the Min-Max method. Then the Company can better control inventory and delivery time of raw materials by using the EOQ method. As an example of the calculation for an SD SPCC plate measuring 0.7mm x 2440mm x 1220mm with an optimal order quantity of 512 pieces for one order, 157 safety stocks, reorder point when stock is 493 sheets, and order frequency 24 times a year. After implementation and data sampling for three months in April, May and June 2023 there was no shortage of raw materials which caused a delay in the delivery schedule for SDG type cabinets.Keywords : Inventory control, Economic Order Quantity, Period Order Quantity, Min-Max, Reorder Point, Safety Stock.

Modern Ways of Educating Parents of Children with Adhd

The relevance of the study is substantiated by the lack of modern programs of psychological and pedagogical education of parents of children with ADHD, taking into account the psychological characteristics and expectations of modern parents, against the backdrop of a growing number of children with these developmental characteristics who experience significant difficulties in the educational process. The main goal set by the authors is to identify effective modern methods of psychological education of parents of children with attention deficit hyperactivity disorder, applicable in the context of inclusive education. Methodology. In the course of the study, an analysis of current domestic and foreign scientific publications and scientific and methodological sources was carried out, the method of expert assessments was applied (a survey of specialists of the psychological and pedagogical support service of inclusive schools of the Novosibirsk region and employees of the Regional Center for Diagnostics and Counseling) and a method of studying pedagogical experience (an analysis of programs that are laureates of the “All-Russian competition of the best Psychological and pedagogical programs and technologies in the educational environment” 2021 and 2022 using the methodology of the evidence-based approach). Results. Theoretical analysis and a survey of experts confirmed the relevance of the problem of psychological and pedagogical education of parents, without whose active and competent participation in the organization of educational activities of children with attention deficit and hyperactivity, the efforts of specialists in psychological support of this specific group of children do not give the necessary effect. In addition, difficulties in organizing work with parents are identified and described, and it is shown that specialists face problems when choosing effective methods of education that take into account such features of modern parents as lack of time, orientation to digital sources of information, the need for active dialog interaction with specialists and visual provision of necessary information. It is confirmed that specialists of inclusive educational organizations need additional knowledge about the psychological characteristics of children with ADHD and their parents and in program and methodological materials with proven effectiveness. The results of the analysis of the programs-winners of the All-Russian competition led to conclusions about a clear shortage of program and methodological materials on psychological education of parents of children with ADHD, taking into account, among other things, the psychophysiological characteristics of parents of this group of children. It is shown that so far not all the award-winning programs provided in the register of the best psychological and pedagogical programs of the Federation of Educational Psychologists of the Russian Federation fully meet the criteria of practice with empirically proven effectiveness (evidence-based approach).

Selective recovery of metals in spent batteries by electrochemical precipitation to cathode material for sodium-ion batteries

The recycling of key components in waste lithium-ion batteries (LIBs) is an important route to make up for the shortage of battery materials. Metal separation and purification is an important step. It is of great significance to propose an efficient and green separation technology. In this paper, an electrochemical precipitation method was applied to metal separation from spent LiNi0.5Mn1.5O4 cathode material. The Li and metal elements were effective separated and the precipitates were then used as precursor to synthesize high-performance R–O3-NaNFM cathode material for sodium-ion batteries. The R–O3-NaNFM exhibits excellent electrochemical cycling stability. The capacity retains 71.3 mAh g−1 after a long-term cycling of 200 times at 1 C. This method offers a referable strategy of the recycling for the waste cathode material in spent LIBs.

Low quality of maternal and child nutritional care at the primary care in Mexico: an urgent call to action for policymakers and stakeholders

BackgroundMaternal and child malnutrition represents a public health problem in Mexico Primary care (PC) is responsible for introducing women and children under five to the health system, detecting diseases on time, and providing medical services, including pharmacological treatment if necessary. Providing these services with quality is essential to improve maternal and child health. This study evaluated the quality of nutritional care during preconception, pregnancy, postpartum, infancy, and preschool age at the PC health units across six Mexican states between 2020 and 2021.MethodsWe conducted a cross-sectional study with a mixed approach in units of the Secretary of Health to assess the quality of nutritional care during preconception, pregnancy, postpartum, childhood, and preschool age. The level of quality was calculated by the percentage of compliance with 16 indicators that integrated a Quality Index of Maternal and Child Nutritional Care (ICANMI, by its Spanish acronym). Compliance by indicator, by life stage, and overall was categorized using the following cut-off points: poor quality (≤ 70%), insufficient quality (71-89%), and good quality (≥ 90%). The perceptions of the barriers and facilitators that affect maternal and child nutrition were evaluated through semi-structured interviews with health professionals (HP) and users. All qualitative instruments were developed with a gender and intercultural perspective.ResultsConsidering the whole sample studied, maternal and child nutritional care quality during the five life stages evaluated was bad (compliance: ≤12%), reflected in the ICANMI, which had a compliance of 8.3%. Principal barriers identified to providing high-quality nutritional care were the lack of knowledge and training of health professionals, shortages of equipment, medicine, personnel, and materials, the disappearance of the social cash transfer program Prospera, the absence of local indigenous language translators to support communication between doctor and patient, and the persistence of machismo and other practices of control over women.ConclusionsThese findings underscore the need for initiatives to improve the quality of nutritional care in PC facilities across Chihuahua, State of Mexico, Veracruz, Oaxaca, Chiapas, and Yucatan. It is necessary for government and health authorities, along with various stakeholders, to collaboratively devise, implement, and assess intercultural and gender-oriented policies and programs geared towards ensuring the health infrastructure and enhancing the training of health professionals to diagnose and treat the prevalence and occurrence of diverse forms of malnutrition in both maternal and child populations.

The War between Russia and Ukraine and its Effects on the Indian Stock Market

The world economies are still not over the impact of COVID 19 pandemic when Russia started war on Ukraine on February 24, 2022. The global economies sided for and against Russia, while few countries took a neutral stand like India. This study analyses the impact on the war on Indian stock market. We analyse BSE sectoral indices which includes Metals, Oil and Gas, Raw materials, Auto, Energy, FMCG, Industrial, Infrastructure Manufacturing for a short window period from the start to the partial end of the war which includes all sanctions imposed on Russia by the global economies. Using technical stock market indicators like MA, SMA and EMACD, this study finds that Indian stock market was not affected by Russia Ukraine war. The sectoral indices depicted an uptrend and the volatility index showed a downtrend. To further confirm our findings, the study analyses the abnormal returns (AR) and Cumulative Abnormal Returns (CAAR) of the sectoral indices through Event Study Analysis for 21 days around the date of declaration of war. The fin dings show that there was no value destruction in any of the indices during the observed period which confirm with the previous findings. The findings of this study are interesting and has implications from a practical standpoint considering that all the sectors in Indian stock market are doing well irrespective of the rising oil prices and materials shortage because of the war

Advancing multiproduct resin reuse for development and clinical manufacturing of an antibody-based therapeutic.

Chromatography resins used for purifying biopharmaceuticals are generally dedicated to a single product. For clinical manufacturing, this can result in resin being used only for a fraction of its potential lifetime. Extending the use of resins to multiple products can significantly reduce resin waste and cost. It can also improve manufacturing flexibility in case of raw material shortage during times such as the COVID-19 pandemic. The work presented herein describes an overarching multiproduct resin reuse (MRR) strategy, which includes a risk assessment, strategic planning, small-scale feasibility runs, and the successful execution of the MRR strategy to support Good manufacturing practice (GMP) clinical manufacturing of an antibody-based therapeutic. Specifically, an anion exchange (AEX) and cation exchange (CEX) MRR strategy is described. Clearance of carryover biological product is demonstrated by first cleaning the AEX and CEX manufacturing columns with sodium hydroxide to ensure inactivation and degradation of the carryover protein and followed by a blank buffer elution that is tested using various analytical methodologies to ensure reduction of the carryover protein to an acceptable level. To our knowledge, this is the first time an MRR approach has been successfully implemented and submitted to health authorities to support biologic GMP clinical manufacture.

An Investigation of BIM Advantages in Analysing Claims Procedures Related to the Extension of Time and Money in the KSA Construction Industry

The construction industry in the Kingdom of Saudi Arabia (KSA) is a significant sector in the Middle East, with annual expenditures exceeding USD 120 billion. It employs 15% of the workforce and consumes more than 14% of the country’s energy resources. Despite the significant growth in the Saudi construction sector, it faces various challenges due to the rapid launch of mega projects, such as the Line project engaged with the NEOM project, as well as other new projects as part of the Saudi Vision 2030. The challenges might be limited to a shortage of skilled labourers, rising costs, construction disputes, and material shortages. This study aims to investigate claims management procedures under traditional practice and compare them with a proposed BIM package as an alternative solution to mitigate construction disputes. The objective of the study focuses on reducing the time consumed when analysing claims against the level of accuracy of claims values. The proposed BIM model improves and streamlines the claims process through automation. This study presents prospective and retrospective methods in delay analysis under an accepted programme. A questionnaire survey was conducted, and out of a total of 123 practitioners, 79 replied. The findings in tables in this article reveal that there are demands and a growing awareness of BIM in the KSA construction industry. The results reveal that BIM can help to reduce potential disputes and can reduce overall project cost overruns.

A Material Allocation Model for Public Health Emergency under a Multimodal Transportation Network by Considering the Demand Priority and Psychological Pain

In a public health emergency, residents urgently require a large number of rescue materials for treatment or protection. These rescue materials are usually located far from the emergency area. The government must organize rescue materials transportation by selecting suitable transport modes. Thus, we propose a material allocation model for public health emergencies under a multimodal transportation network to determine the best rescue material supply route. In this model, we set the demand priorities according to the emergency degrees to decide the transportation sequence. Meanwhile, we introduce the psychological pain cost brought by the rescue material shortage into the proposed model to trade off the priority and fairness of demand. Having compared it to the research literature, this is the first study that considers multiple categories of materials, absolute pain costs, relative pain costs and demand priority under multimodal transportation. The research problem is formulated into an integer programming model, and we develop a modified genetic algorithm to solve it. A set of numerical examples are conducted to test the performance of the proposed algorithm, and to investigate features and applications of the proposed model. The results indicate that the modified genetic algorithm performs better in the calculation examples at different scales. For small-scale instances, the algorithm produces consistent results with Gurobi. As the instance size increases, Gurobi fails to find the optimal solution within 1800 s, while this algorithm is able to find the optimal solution within an acceptable time frame. Additionally, when dealing with large-scale instances, the algorithm exhibits a significant advantage in terms of runtime. Sensitivity analysis of key factors indicate that (1) Adjusting the relative pain cost coefficient can make the best trade-off between fairness, economy and timeliness; (2) Compared with a single mode of transport, multimodal transport can reduce the psychological pain cost and the logistics cost; (3) Improving the loading and unloading capacity of nodes can reduce the delivery time of materials and the psychological pain cost of residents, but the influence of other factors and cost-effectiveness need to be considered.

Tata Kelola Persediaan Bahan Baku Usaha Djamoe Van Java untuk Meningkatkan Efisiensi Pembuatan Jamu

Raw material inventory is unprocessed basic material provided by the company for later use in the company's production process. Raw materials are important in production companies. Limited or excess supplies of raw materials can be a problem for the company. A shortage of raw materials can result in problems with company activities, especially in the production process, while excess supplies of raw materials can lead to excessive costs in maintaining raw materials and the value of raw materials will decrease over time (Anista & Widiyastuti, 2016). The method used in this research is quantitative descriptive. According to Winartha (2006: 155), the quantitative descriptive method is analyzing, describing and summarizing various conditions and situations from various data in the form of numbers collected from the results of analysis and interviews or observations regarding the problems being studied that occur in the field. Based on the calculation results, the optimal quantity of raw material orders for the Djamoe Van Java business is 10 Kg. Based on the results of the research and discussion described previously, it can be concluded that to obtain optimal raw material inventory management for the Djamoe Van Java business, the quantity The economic purchase (EOQ) that the company must provide is 10 kg. The results of calculations that have been carried out in Total Inventory Cost (TIC) show that after implementing an appropriate and optimal inventory control system, the company can save costs of IDR 150,000. Companies should determine Reorder Points in carrying out raw material inventory control to anticipate possible delays in ordering raw materials.

Chilean Medical Staff Testimonies and Experiencies During The War of The Pacific: 1879-1884

This article analyzes the experiences of military physician and chaplains who participates in Peru and Bolivia's campaign during the War of the Pacific (1879-1884). From their point of view, they presented an alternative narrative away from authorities, where they described the activities, they carried out, as well the difficulties and material shortages to achieve the troop´s needs. In physician and chaplains personal documents (diaries and letters), the war phenomenon is reconstructed on a human scale, crossing their stories, recovering his work, reflections and war experiences.

BARRIERS TO SUSTAINABLE GREEN BUILDING PRACTICE IN NIGERIA

Green building approaches are becoming increasingly essential in the construction business. Green building entails designing buildings and employing methods that are ecologically responsible and efficient with resources throughout the life cycle of the building. It is viewed as a substitute to reducing or eliminating the negative environmental and climate change impacts of construction activities. Despite its benefits, green building uptake is hampered by a number of impediments. The study was conducted in the states of Abuja and Lagos, focusing on professionals, freelancers, and clients. The collected data was analyzed using SPSS 25.0, and the study's findings revealed that lack of understanding of Green Building Technologies was ranked first among the obstacles to green building acceptance with a RII of 0.79, followed by a lack of institutions to develop policies and set guidelines with a RII of 0.77, ambiguity with green equipment and materials with a RII of 0.76, lack of interest and interaction among project team members with 0.76, and lack of interest as well as communication among project team members with RII of 0.76.However, there are various hurdles to the implementation of ecologically conscious building in Nigeria. Long design and approval procedures for new technologies, a shortage of sustainable materials and goods, a proclivity to stick with present practices, a lack of building norms and regulations, and a lack of awareness about green products and powerful building systems are all examples. To guarantee a smooth transition to green building, industry players should investigate and apply sustainable solutions, particularly throughout...

Energy and autohydrolysis by-products from industrial crops

The world is experiencing a growing shortage of raw materials which is especially severe in the energy sector and being worsened by the unfavorable environmental impact of a consumerist culture revolving around the exploitation of non-renewable resources. In this work, the calorific value and chemical composition of liquors resulting from the autohydrolysis of six different lignocellulosic materials was determined (Eucalyptus globulus, Arundo donax, Leucaena diversifolia, Paulownia fortunei, Sunflower stalks and Chamaecytisus proliferus –tagasaste-) and was assesed for the obtainment of energy, sugars and other chemical products by using of integral fractionation based on autohydrolisys. Autohydrolysis processes have been considered interesting in the case of timber species studied compared with herbaceous species with variations in the extraction of the xylan fraction at 180 º C and 200 ° C.

Enhancing SMCs’ competitiveness through improving material supply chain management practice

Construction material shortages have emerged as a critical issue in developing nations, resulting in increased project costs and delays. This situation strains the construction industry’s (CI) ability to meet growing demands and remain competitive in the global market. Small and medium contractors (SMCs), who heavily rely on the availability and accessibility of construction materials, are disproportionately affected by this challenge, making it a matter of utmost concern. This study aims to identify the challenges faced, develop management mechanisms to enhance the supply chain management (SCM) of construction materials in the Ethiopian CI and provide a comprehensive improvement framework. The study employed semi-structured interviews to collect the perceptions of key industry stakeholders. Thematic analysis was utilized to facilitate a holistic understanding of the participants’ viewpoints. The findings reveal major challenges such as inadequate supply chains, poor communication and coordination, and lack of standardization and certification practices. Furthermore, the importance of collaboration among diverse stakeholders, research and development, and the adoption of standardization and certification practices was highlighted. The proposed framework underscores the roles of stakeholders and offers valuable insights by delineating areas for improving SCM within the CI.

Fuzzy Decision-Making Model for the inventory leveling under uncertainty condition

The option to create inventory is not always the optimal choice due to the associated expenses and space requirements. Nevertheless, there are instances where a shortage of materials on customer lines can result in substantial financial penalties. This constant contradiction places supply chain managers in a perplexing predicament, especially when considering the amplification of inventory through the bullwhip effect as it moves across different stages. Moreover, the uncertain backdrop created by unforeseen events intensifies this already critical situation, compelling managers to seek novel decision-making approaches. These approaches should enable the simulation of risks and the selection of suitable scenarios, particularly within the intricate domain of stochastic and dynamically evolving supply chains. In this study, we introduce a new decision-making model rooted in the fuzzy logic concept introduced by Loutfi Zadeh in 1965. This model is applied to criteria assessed by experts, representing the most pertinent parameters for guiding inventory optimization. The chosen criteria encompass Lead Time, Equipment Production Reliability, and Warehousing Costs. This model exhibits the potential to unearth intricate patterns and associations among variables that conventional statistical methods struggle to reveal. Notably, the integration of fuzzy logic for inventory prediction yields promising outcomes, extendable to the realm of artificial intelligence, where comprehensive inference rules facilitate effective decision-making.