ABC Analysis Research Articles

Assortment matrix as a basis for assortment planning

The article highlighted the significance of the assortment matrix for a retail enterprise as a basis for assortment planning. That is why the issues of planning and optimizing the range of products do not lose their relevance in modern business conditions. One of the most important tasks in assortment planning is the definition of promising assortment positions for the company. To build the assortment matrix, the results of previous research on the structuring of the assortment based on the results of a combined analysis using the ABC and XYZ methods were used, which made it possible to determine the most demanded product positions and the lack of stability of the assortment at the research enterprise. The formation of the assortment matrix was carried out on the basis of the approved retail trade classifier and the analysis of sales for the period of six months. Taking into account the fact that the capabilities for storing fish products are always limited and require significant expenses, this group was chosen to determine whether the volume of the offered assortment meets consumer demand. The largest share among fish products was taken by canned fish, which is why the assortment matrix was compiled for this product group. The basis of the assortment was formed by canned fish snacks, with the volume of cans from 150 to 200 grams and more. The analysis of the assortment of canned fish was carried out according to their share in the profit for the first half of 2021, due to the volume of packaging, and, in addition, the number of product items was also determined. Next, the segments were combined by types of canned goods and by volume of packaging. To form an assortment matrix, price segmentation was carried out, distinguishing the economy, mass and premium segments, which determined the number of product positions of each type of canned food in different price segments. The last step was to conduct a study of each trademark of various types of canned food, where the analysis of sales by profit share was used, an ABC analysis was performed, and the number of product positions per trademark was determined. The assortment matrix, built in the end, showed that 48 items of canned fish are not in demand by consumers, and therefore should be excluded from the assortment.

Enhancing efficient aircraft spare parts management in Republic of Korea Air Force: a multiple criteria ABC analysis

Enhancing efficient aircraft spare parts management in Republic of Korea Air Force: a multiple criteria ABC analysis

Interpretable Multi-Criteria ABC Analysis Based on Semi-Supervised Clustering and Explainable Artificial Intelligence

Interpretable Multi-Criteria ABC Analysis Based on Semi-Supervised Clustering and Explainable Artificial Intelligence

Methodology for assessing the turnover period of goods in Internet Business

The article discusses the methodology for calculating the turnover coefficient and period of turnover of inventory for a company with irregular stock on hand. It emphasizes the importance of the indicator characterizing the turnover of working capital associated with inventory. A scientific and methodological approach is proposed for evaluating the product turnover period to optimize and enhance the efficiency of managing an e-commerce business. The article identifies the problems that arise when using the classical method for calculating the turnover coefficient and turnover period of goods and demonstrates the challenges of automatically calculating these indicators using alternative calculation schemes proposed by Ukrainian and foreign authors. A new algorithm for calculating the turnover period of goods based on an “event-based” approach is proposed. This methodology involves capturing the timing of “events” such as the purchase and sale of goods, which represent moments when funds are tied up in inventory and then returned to circulation. Model examples illustrate the accurate calculation of the turnover period for irregular goods that may temporarily be absent from a company’s inventory. The ability to automatically calculate these indicators for a significant number of product items is also demonstrated. The methodology proposed by the authors is universal and does not require additional conditions when calculating turnover indicators, whether for regularly stocked items, periodically stocked items, or seasonally stocked items. The methodology is not limited by the calculation period and can be equally effective for short and long calculation periods. Automating the calculation of inventory turnover based on the proposed “event-based” algorithm significantly enhances the efficiency of managing e-commerce businesses and improves the methodology of ABC analysis of a company’s product portfolio. The authors’ methodology for calculating the turnover period of goods is original, with no similar methods found in other publications related to the turnover of working capital associated with a company’s inventory.

Effectiveness of anger management program on anger level, problem solving skills, communication skills, and adjustment among school-going adolescents.

Anger is a natural feeling which is essential for survival, however, which can impair functioning if it is excessive. Adolescents need to be equipped with skills to cope with their anger for the promotion of their health and safety. This study aims to examine the effectiveness of anger management program on anger level, problem solving skills, communication skills, and adjustment among school-going adolescents. An experimental, pre-test-post-test control group design with a multistage random sampling was adopted to select 128 school-going adolescents aged between 13 and 16 years. Experimental group received six sessions of anger management program, while control group received one session on anger management skill after the completion of post-assessment for both the groups. Sessions included education on anger, ABC analysis of behavior and relaxation training, modifying anger inducing thoughts, problem solving, and communication skills training. Assessment done after the 2 months of anger management program. Data were analyzed through descriptive and inferential statistics. Study reveals the improvement in the problem solving skills (81.66 ± 4.81), communication skills (82.40 ± 3.82), adjustment (28.35 ± 3.76), and decreased anger level (56.48 ± 4.97). Within the experimental and between the experimental and control group, post-test mean scores differed significantly (P < 0.05). The results revealed that the anger management program was effective in decreasing anger level and increasing problem solving skills, communication skills, and adjustment among school-going adolescents.

Multi-criteria approach for inventory classification and effective warehouse management

Organisations classically employ the ABC analysis to have efficient control on the inventory items and for effective management of warehouses. This method usually considers sales values and usage volume of inventory items. In our study, in order to take into account more than one criterion, the PROMETHEE method, which is one of the pairwise comparisons MCDM methods, was used. For the inventory classification, five criteria have been identified that affect the storage activities for all products in order to determine the importance of the product types and product models which are produced by the company. Products were ranked according to their priorities using the PROMETHEE method. The results of the classification were used to assign the shelves to products in the storage. In this process, the top products are assigned to the closer places to minimise the transport distance. As a result of the inventory classification and storage layout plan, the usage rate of storage area has been increased and a layout plan which minimises transportation distances has been established. In this way, order picking and order shipment processes have been accelerated, and a more systematic approach has been created for warehouse management of the company.

Drug Inventory Control Analysis at a Primary Level Health Care Facility in Bengaluru Urban, India

Background Almost one third of funds allocated to health centres are spent in buying medicines and health care equipment. The cost and requirement of these medicines vary widely depending on level of healthcare quality of healthcare and requirements of population. Efficient feasible and effective planning of drug inventory is necessary for equal access to healthcare services.Objectives The objectives of this study are to categorize the drugs based on cost criticality aspects and identify those requiring stringent managerial control and to improve the health delivery systems of the hospital.Methods The data related to annual consumption and annual drug expenditure ADE incurred on each drug during the year 2023 in a primary level healthcare facility in Bangalore urban was collected. The drugs were categorized based on ABC and VED. Analysis was done using Microsoft Office Excel version 2021.Results A total of 140 drugs used in the hospital were included in the analysis. ADE on these 140 items for the year 2022 was Rs.1023566.35. ABC analysis showed 44 items 31.4 in category-A 37 items 26.4 in category-B and 59 items 42.14 in category-C which utilized 86.5 9.08 and 4.37 of ADE respectively. VED analysis revealed 31 vital items 22.14 64 essential items 45.7 and 45 desirable items 32.14 which consumed 55.3 16.14 and 28.46 ADE of pharmacy respectively. It has been observed that according to ABC-VED analysis 74.17 19 and 6.8 of ADE belong to categories I II and III respectively.Conclusion The above analysis showed drug classification on basis of usage criticality and cost. It also identified drugs that required effective listing supply and management.nbsp

An Inventory Optimization Model for a Textile Manufacturing Company

Inventory management is a crucial issue in most businesses from factories in industry to small and large organizations in the production or service sector. A company should determine an optimum inventory level between excessive inventory that takes up physical space, costs much, and lack of inventory which disrupts the supply chain causing unavailability of the product that makes customers change their idea and buy from another supplier.&#x0D; In this study, we first classify the items that the company manufactures by using ABC analysis and develop a mathematical model to minimize total cost to enable a better inventory management. We use ABC analysis method to evaluate products in a textile company in terms of importance and to track these products according to their priorities. Accordingly, we propose a mixed integer programming model to determine production quantities and inventory levels with minimum cost. The results shows that the company in concern can improve its total production and inventory costs by 3.8 percent.

Methodology for assessing economic indicators of economic activity based on ABC analysis

Methodology for assessing economic indicators of economic activity based on ABC analysis

TIME MANAGEMENT WEB -ORIENTED INFORMATION SYSTEM BASED ON THE MERN TECHNOLOGY STACK

The problem of fleeting time and its effective use has deep roots in human history. Many generations have asked the question of what time is, how it can be controlled, and if it cannot be controlled, how to deal with this enormous influence on human life. Time is the most valuable resource that you have to learn to manage. The more we manage to do, the better the quality of our work and life in general. And in the conditions of digital transformation and acceleration of changes, a clear order sometimes helps to maintain focus on goals, not to deviate from the course, and, ultimately, to be in demand in the labor market.&#x0D; The main drivers of the time management system are management methods and techniques. Techniques allow different ways to compose a plan for different periods and evaluate priority. The methods, in turn, solve the issue of the implementation of this plan. The implementation tool is no less important, and here information systems have offered themselves very well. The possibility of dynamic planning, scalability, a system of reminders, and a system of rewards - all reflects powerful solutions for the introduction of time management.&#x0D; This work offers an overview of the process of developing a convenient information system with time management methods. A study of time management methods was conducted. An information model was developed that combines Pomodoro techniques, ABC analysis based on the Eisenhower principle, and Getting Things Done. This model allows you to classify tasks according to the degree of importance, divide them into different groups and lists, assign time for long-term and short-term tasks, and analyze the degree of completion of each task and the work as a whole.&#x0D; Modeling of the information system was carried out using the unified modeling language UML and its diagrams of precedents, deployment, classes, packages, and components, which simplify the creation of the application logic and reflect the structure of the application. The design of the system was also carried out using the creation of a prototype in the online vector service Figma. The information system is implemented as a client-server web-oriented application based on the MERN technology stack. React is used to develop the web application interface, Node.js, and the Express.js framework for the application server, which implements the creation and request of APIs for communicating with the document-oriented database management system MongoDB using the mongoose module.

The ABС-analysis of the consumption of antihistaminic drugs

Aim. To analyze the demand and consumption of antihistaminic drugs (AHD) at the pharmaceutical market of Ukraine on the example of one of the pharmacies in Vinnytsia.&#x0D; Materials and methods. A pharmacy in Vinnytsia, nomenclature of AHD, retail prices for AHD of the pharmacy under research were studied. The methods of survey, statistical, comparative, as well as ABC analysis were used.&#x0D; Results. As a result of the study, the demand and consumption of AHD were analyzed on the example of one of the pharmacies in Vinnytsia for the period February-April 2021 using the ABC analysis. Nixar, Cetrine 20, L-cet, Dexamethasone, Cetrilev, Aerius, Cetrine 30 were the leading drugs in sales and accounted for 80 % of the total turnover. The total revenue of these funds was UAH 8218,68. Group B included Loratidine, Allerzin, Ergocetal, Claritin, which accounted for 15 % of the total amount of sales. The total revenue of these funds was UAH 1660,18. Such drugs as Cetirizine-TEVA, Suprastin, Allergosan, Tavegil, Ketotifen, and Diphenhydramine were 5 % of the total sales. The total revenue of these funds was UAH 718,43.&#x0D; Conclusions. It has been found that the following AHP are in the greatest demand among the population: Nixar, Cetrine 20, L-cet, Dexamethasone, Cetrilev, Aerius, Cetrine 30. These drugs provide the main income of the pharmacy chain, and pharmacy employees need to ensure 100 % availability of this product name.

An Innovative Layout Design and Storage Assignment Method for Manual Order Picking with Respect to Ergonomic Criteria

Background: This paper aims to improve the overall performance of manual warehouse Order Picking (OP) processes by proposing an innovative method for designing a picking area layout, and introducing a storage assignment strategy with respect to ergonomics and workers’ physical fatigue. Methods: The proposed method categorizes the available picking slots based on size and ABC analysis. Ιt takes into consideration a set of ergonomic constraints pertinent to the rack heights and travel distance restrictions for each slot type, leading to the assignment of a location to each slot type based on its individual characteristics. In doing so, the proposed method introduces an innovative ‘flame-shape’ aisle layout. Finally, the products are assigned to their optimal locations, targeting OP time minimization, balanced workload allocation, and ergonomics optimization through a ranking system measuring the ‘difficulty’ of retrieving the products based on their weight, popularity, and slot location. Results: The proposed method led to a productivity rise of 14.9% along with a significant decrease of the ‘difficulty’ index, by 31%. Conclusions: The results prove that a prominent performance improvement can be achieved when both travel distance and manual workload minimization are targeted for determining the picking area layout and storage design.

Klasifikasi ABC dan Peramalan ARIMA Inventory Usaha Kecil Menengah Stokis Pakaian Muslim

The problem faced by many SMEs is the imbalance between demand and supply. As one of the SMEs, Stockist C-Geulis often faces the problem of unavailable product stock while orders are not yet available. This research aims to identify high-value and high-demand products and predict minimum and maximum inventory levels for the following month. The method for determining high-value products is ABC analysis, while the minimum and maximum inventory predictions use the ARIMA (Autoregressive Integrated Moving Average). The data for stock forecasting uses sales data from January 2019 to June 2021. The results show that ABC analysis based on sales value includes four class A products, three class B products, and eight class C products. The forecast results show that the inventory forecast data for three periods does not meet the assumption of stationarity to the average because a level 1 differentiation process is carried out so that the data becomes stationary. The ARIMA models produced are ARIMA (1,1,1) for Batik C-Geulis products and Busui C-Geulis and ARIMA (1,0,0) for Inner Gamis Hijab products. The supplies provided for Batik C-Geulis products in July 2021 are 37 pcs, Busui C-Geulis are 45 pcs, and Inner Gamis C-Geulis are 49 pcs.

Robust Classification Using Posterior Probability Threshold Computation Followed by Voronoi Cell Based Class Assignment Circumventing Pitfalls of Bayesian Analysis of Biomedical Data.

Bayesian inference is ubiquitous in science and widely used in biomedical research such as cell sorting or "omics" approaches, as well as in machine learning (ML), artificial neural networks, and "big data" applications. However, the calculation is not robust in regions of low evidence. In cases where one group has a lower mean but a higher variance than another group, new cases with larger values are implausibly assigned to the group with typically smaller values. An approach for a robust extension of Bayesian inference is proposed that proceeds in two main steps starting from the Bayesian posterior probabilities. First, cases with low evidence are labeled as "uncertain" class membership. The boundary for low probabilities of class assignment (threshold ε) is calculated using a computed ABC analysis as a data-based technique for item categorization. This leaves a number of cases with uncertain classification (p &lt; ε). Second, cases with uncertain class membership are relabeled based on the distance to neighboring classified cases based on Voronoi cells. The approach is demonstrated on biomedical data typically analyzed with Bayesian statistics, such as flow cytometric data sets or biomarkers used in medical diagnostics, where it increased the class assignment accuracy by 1-10% depending on the data set. The proposed extension of the Bayesian inference of class membership can be used to obtain robust and plausible class assignments even for data at the extremes of the distribution and/or for which evidence is weak.

A Bioinformatics View on Acute Myeloid Leukemia Surface Molecules by Combined Bayesian and ABC Analysis.

"Big omics data" provoke the challenge of extracting meaningful information with clinical benefit. Here, we propose a two-step approach, an initial unsupervised inspection of the structure of the high dimensional data followed by supervised analysis of gene expression levels, to reconstruct the surface patterns on different subtypes of acute myeloid leukemia (AML). First, Bayesian methodology was used, focusing on surface molecules encoded by cluster of differentiation (CD) genes to assess whether AML is a homogeneous group or segregates into clusters. Gene expressions of 390 patient samples measured using microarray technology and 150 samples measured via RNA-Seq were compared. Beyond acute promyelocytic leukemia (APL), a well-known AML subentity, the remaining AML samples were separated into two distinct subgroups. Next, we investigated which CD molecules would best distinguish each AML subgroup against APL, and validated discriminative molecules of both datasets by searching the scientific literature. Surprisingly, a comparison of both omics analyses revealed that CD339 was the only overlapping gene differentially regulated in APL and other AML subtypes. In summary, our two-step approach for gene expression analysis revealed two previously unknown subgroup distinctions in AML based on surface molecule expression, which may guide the differentiation of subentities in a given clinical-diagnostic context.

FORECASTING DRUG DEMAND USING THE SINGLE MOVING AVERAGE 3 PERIODE AT UGM ACADEMIC HOSPITAL

Drug management at the Academic Hospital of Gadjah Mada University found that the damaged and expired drugs amounted to 4.71% and the dead stock was 7.89%. One of the influential factors to contribute to the considerable amount of damaged and expired drugs and dead stock is inaccurate planning. Forecasting is one aspect of planning, which helps predict the upcoming event as a way to make planning more effective and efficient. One of the forecasting methods is the 3-period Single Moving Average (SMA). This study aims to forecast drug demand in January 2021 at the Academic Hospital of Gadjah Mada and to see the size of the error using the 3-period SMA method. This is an observational study with the retrsospective descriptive analysis. The research population is all drugs used at the Academic Hospital of Gadjah Mada in January 2018-December 2020. The samples are the top 5 most used drugs based on A category resulted from the ABC analysis of consumption in 2020 with certain criteria using purposive sampling technique. The drug demand was forecasted using Eviews 12 software and its error size, particularly the Mean Absolute Percentage Error (MAPE) was calculated using Microsoft Excel. The results showed that the forecast of drug demand in January 2021 was Tutofusin Ops 500ml 496pcs, Hemapo 2000 IU/ml 290pcs, Hemapo 3000 IU/ml 219pcs, Abilify Discmelt 10mg 717pcs, and Otsu-NS Piggyback 3736pcs. The calculated MAPE value was 8-32%, which means that the 3 period SMA forecasting is acceptable and reasonable for further application at the Academic Hospital of Gadjah Mada

Analisis Pengendalian Persediaan Farmasi di Rumah Sakit Awal Bros Batam

Prescription delays at Pharmacy Department services Awal Bros Batam Hospital during the month of October 2015 until September 2016 influences the impact on the quality of hospital services and going on back order ending with financial problems to Awal Bros Batam hospitals. The author wants to identify problems that occur for improving efficiency and effectiveness of services pharmacy inventory control at Awal Bros Batam Hospital and overall improving the quality of hospital services. This study is an operational research study to develop a pharmaceutical inventory control models. The first model, in this study will be made use of ABC analysis, investment analysis ABC, and ABC critical index, to determine pharmaceutical supplies into groups A, B and C. Furthermore, will be calculated EOQ and ROP, as well as the efficiency of TIC. Conducted in-depth interviews with informants. The second model, the method Periodic Review System, Order up to the level, in this study also conducted an analysis 10 largest inventory investment by ABC and ABC average user through the assessment of inventory, ITOR and PNP on Awal Bros Batam hospital over a period of 12 months. In the second method is expected to avoid overstocking pharmaceuticals with high investments that may affect the cash flow of the hospital. Pharmacy inventory control at Awal Bros Batam Hospital has not performed optimally, although every month have made the ABC analysis Investments and apply maximum and minimum stock method is simple. This research, produce policy recommendations for the Awal Bros Batam Hospital to help the management to improve ppharmacy inventory control and solve the problems in the pharmaceutical stock out.

Multilocus Phylogeography and Population Genetic Analyses of Opsariichthys hainanensis Reveal Pleistocene Isolation Followed by High Gene Flow around the Gulf of Tonkin.

The ichthyofauna of continental islands is characterized by immigration through a land bridge due to fluctuating sea levels. Hainan Island is adjacent to the southern margin of mainland China and provides opportunities for understanding the origin and diversification of freshwater fishes. The aim of our study was to evaluate the level of genetic variation and phylogeographic structure of Opsariichthys hainanensis on Hainan Island and mainland China, using mtDNA cyt b gene (1140 bp) and D-loop (926 bp), nuclear RAG1 gene (1506 bp), and 12 microsatellite loci. Mitochondrial phylogenetic analysis identified five major lineages according to the geographical distribution from different populations. We suggested that two dispersal events occurred: the population in the Changhua River migrated to the Red River (Lineage B), and the populations in the South Hainan region moved northwards to the North Hainan region. However, populations in Northwest Hainan Island dispersed to the populations around the Gulf of Tonkin (Lineage A1) and populations in Northeast Hainan Island dispersed to the populations in mainland China (Lineage A2). Our results indicated that the populations of O. hainanensis suffered a bottleneck event followed by a recent population expansion supported by the ABC analysis. We suggest that O. hainanensis populations were found mostly in the lowlands and a lack of suitable freshwater habitat in southern mainland China and Hainan during the Last Interglacial period, and then expansion occurred during the Last Glacial Maximum.

KAJIAN PENGENDALIAN PERSEDIAAN OBAT DI INSTALASI FARMASI DINAS KESEHATAN KABUPATEN “X” JAWA TENGAH

ABC critical index analysis is a combination of ABC analysis which includes ABC analysis of value in use and ABC analysis of investment value. The ABC analysis method is a method of making classifications based on the set of values from the highest to the lowest value and is divided into 3 major groups called group A (high investment value), B (medium investment value), and C (low investment value).The purpose of this study was to determine the compatibility, and realization and provide an evaluation of the planning for the use of drugs using the ABC method in the pharmaceutical installation health department of “X” district, Central Java. The sampling technique used in this research is purposive sampling where the sample is taken according to the sample criteria.Data on Usage Reports and Drug Request Sheets for all UPTD Public Health Centers of “X” Regency from January - December 2019 and January - December 2020. In the use of drugs in 2019 there were 343 types of drugs, consisting of group A as many as 64 drug items (18.66%) with a procurement cost of Rp. 3,647,892,228.00,- (74.83%), group B as many as 98 drug items (28.57%) with a cost of Rp. 980.902.019.40,- (20.12%). While those included in group C were 181 items (52.77%) with a cost of Rp. 246.216,758.60,- (5.29%). The results show that the budget needed for drug procurement in 2019 is IDR 4,875,011,006,00, - in 2020 there are 487 types of drugs, group A consists of 50 drug items (10.27%) with procurement costs of IDR 5,167,276,066 ,00,- (74.38%). A total of 104 drug items were included in group B (21.36%) with a cost of Rp. 1,392,954,441.00 (34.1%). While those included in group C were 333 items (68.38%) with a cost of Rp. 387,321,439.00, - (8.41%). The results show that the budget needed for drug procurement in 2020 is IDR 6,974,551,946,00,-. Keywords: compatibility, realization, evaluation, ABC

Logistic approach to the segmentation of the company's customers as a basis for the formation of logistics services

The article defines the essence of the logistics customer service concept, as a component of the service process, which makes it possible to ensure the necessary level of the customers’ needs satisfaction, while providing the minimum necessary level of costs and maximizing profit for the company. It was determined that the basis of the formation of logistics customer service is their segmentation or differentiation. A classic logistic approach to the differentiation of customers can be considered their division using ABC-XYZ analysis. At the same time, ABC analysis is usually carried out based on the income brought by clients for a certain period of time, XYZ analysis is carried out according to the stability of relations with the client, that is, according to the number of orders placed by the client during the same period of time. We proposed our own view on the direct process of dividing customers into groups A, B and C, which is based on the calculation of the "jump in share" of customer revenues. The advantage of the proposed approach is that customers with relatively equal importance to the company cannot fall into different categories, and customers with very different values of importance to the company cannot fall into the same category. Another approach to customer differentiation based on customer profitability was also proposed and recommendations for servicing each customer group were made. Thus, the correct segmentation of customers and assessment of the potential of each segment will allow building several different service strategies aimed at increasing the company's profits.