Inventory Management Applications Research Articles

Analisis Tingkat Kepuasan Pengguna Aplikasi Pengelolan Persediaan BMD di SMK Negeri 17 Jakarta Menggunakan Metode Service Quality

This study aims to analyze user satisfaction with the inventory management application for Regional-Owned Assets (BMD) at SMK Negeri 17 Jakarta using the SERVQUAL method. The application was implemented to enhance asset management efficiency, but challenges such as data inaccuracies and limited user skills hinder its effectiveness. The SERVQUAL method evaluates five service quality dimensions: tangibles, reliability, responsiveness, assurance, and empathy, by measuring the gap between user expectations and perceptions. The findings reveal that all service quality dimensions have negative GAP values, particularly in reliability and tangibles, indicating that the application has not fully met user expectations. Therefore, improvements in system reliability, application design, and technical training are essential to optimize the use of the application for effective asset management in the school.

Controlling merchandise inventory using the economic order quantity multi-item discount model method using Odoo software at UD. Ridho

UD. Ridho is a business based in Jl. Sudirman Pekan Dolok Masihul, Dolok Masihul District, Serdang Bedagai Regency, North Sumatra, deals in the sale and purchase of goods. The business had an accumulation of surplus inventory, or overstock, which damaged the goods and kept them from going bad. resulting in total losses of Rp 154,104,00 from January 2023 to June 2023. Orders are placed by UD. Ridho for goods from five vendors. The EOQ Multi Item Model Discount Method is applied in this study using the Odoo software. The EOQ Multi-Item Discount Model is a technique for optimizing inventory costs by placing orders for commodities based on economic order amounts from many suppliers. Product categories offered by UD. Ridho Sugar, rice, wheat flour, instant noodles, soy sauce, detergent, salt, water, and edible oil are the ingredients of UD. Ridho. The discount model is applied to goods that receive a discount from the seller according to the quantity of goods bought. Instant noodles, rice, detergent, edible oil, and aqua are the products that are discounted. Applying the multi-item discount model approach with economic order quantity at UD. Ridho was able to save Rp 21,893,660, or 3.02% of the total amount. The Odoo software, which has three modules—inventory, purchasing, and sales orders—can be used with this paradigm to construct an inventory management application

Rancangan Aplikasi Inventory Barang Pada Babycom Berbasis Web Menggunakan Metode Waterfall

Babycom, a company specializing in the sale of imported baby sandals, faces challenges in managing its inventory due to rapid sales growth, particularly through the Tiktok Shop platform. Manual inventory management is prone to data inaccuracies, monitoring difficulties, and inefficient resource utilization. To address these issues, this research proposes the development of a web-based inventory management application using the waterfall development method. This approach is chosen for its ability to provide structured guidance from needs analysis to maintenance, tailored to the complexity of Babycom's requirements. It is anticipated that this design will offer an effective solution to inventory management issues, resulting in improved operational efficiency, data accuracy, and ease of information access for the company.

Supply Chain Optimization: Machine Learning Applications in Inventory Management for E-Commerce

This study delves into the potential impact of machine learning (ML) on supply chain optimization and inventory management for e-commerce. Our primary focus is analyzing the accuracy of demand forecasting, optimizing inventory levels, and evaluating the impact of real-time decision-making on supply chain efficiency. Using a secondary data-based review methodology, this study explores the implementation of advanced predictive analytics, real-time data processing, autonomous operations, and personalized customer experiences in prominent e-commerce companies like Amazon, Walmart, and Alibaba. Our findings show impressive advancements in demand forecasting accuracy, dynamic inventory management, and operational responsiveness. These improvements have led to cost savings and increased customer satisfaction. Nevertheless, some drawbacks exist, such as the significant expenses associated with implementation, concerns about data privacy, and the potential for overfitting the model. Policy implications call for solid data protection regulations, financial assistance for smaller businesses, and ethical guidelines for AI to promote fair and responsible machine learning applications. By tackling these obstacles, companies can maximize the potential of ML technologies to enhance efficiency, promote sustainability, and gain a competitive edge in the ever-changing world of e-commerce.

Fuzzy Multi-Item Newsvendor Problem: An Application to Inventory Management

This paper proposes a novel approach to the fuzzy newsvendor problem for inventory management applications. The main contributions of the paper are the following: a new credibility estimation is proposed, to explore the neighborhood around the most impactful demand scenarios; a simulation procedure was designed for the different demand scenarios, which allows comparison of the proposed approach with classical and fuzzy multi-item newsvendor problems; a modified genetic algorithm (GA) is introduced to ameliorate previous genetic algorithms in both the generation and evaluation of solutions. The new formulation of the fuzzy newsvendor problem, together with the modified GA, were shown to improve the average profit by up to 55% in problems with low-budget scenarios.

Integration of machine learning in the supply chain for decision making: A systematic literature review

Purpose: This study presents a systematic literature review that provides a broad and holistic view of how machine learning can be used and integrated to enhance decision-making in various areas of the supply chain, highlighting its combination with other techniques and models.Design/methodology/approach: An exhaustive literature review used three sets of keywords in the Scopus and Web of Science (WoS) databases. Through a rigorous filtering process, 70 articles were selected from an initial total of 410, focusing on those that specifically addressed the intersection of machine learning and decision-making in supply chain management.Findings: Machine learning has proven to be an essential tool in the supply chain, with applications in inventory management, logistics, and transportation, among others. Its integration with other techniques has led to significant advances in decision-making, improving efficiency in complex environments. Combining machine learning methods with traditional techniques has been particularly effective, and integration with emerging technologies has opened up new application possibilities.Originality/value: Unlike previous studies that focused on specific areas, this study offers a broad perspective on the application of machine learning in the supply chain. Additionally, combining machine learning techniques with other models is highlighted, representing added value for the scientific community and suggesting new avenues for future research.

Implementasi Aplikasi Keuangan Web Pt Zathco

The system currently used is experiencing problems in handling using bookkeeping techniques which involve rewriting records into ledgers and then converting them to MS. Excel is to be produced as a financial report, so the report produced is late and inaccurate. problems in recording and reporting incoming and outgoing financial data, as well as in several months incoming and outgoing can reach targets. This often happens when recording financial data. This is caused by a helper or admin error. The administration department is recording data on money coming in and money going out. Additionally, accumulating a large number of filings can help record necessary financial data, and searching for filings can be time consuming as well as other tasks. The aim of this research is to develop an inventory management application that can manage money in or money out data, inventory data, and delivery data with agencies. This is a developer about a website that was created to simplify incoming money data and outgoing money data so that it can help business processes in the company. Web-based financial applications in companies have an important role in coordinating and accelerating company financial processes. With real-time access to financial data, this application allows management to track cash flow, combine transactions, and compile financial reports quickly and accurately. Budget management becomes more efficient, and the integration of online payment features makes the transaction process easier. In addition, the application supports audits and provides financial regulation, increasing the security of company data. In designing the interface and developing a web-based financial application system, namely identifying the company's business needs to ensure the application is in accordance with company policies and goals. Through user analysis and user experience (UX) design, intelligent and effective interfaces are developed. Wireframing and prototyping processes were used to design the application structure taking into account the specific needs of the research.

Penerapan Sistem Economic Order Quantity (EOQ) pada UMKM MyPetHouse

Abstract In an era where technology is developing rapidly, quite a few MSMEs experience difficulties in carrying out their operational activities. Inventory is one of the most important factors that can influence the operational performance of a business. Unmanaged inventory conditions will have a huge negative impact on a company. Therefore, inventory management is the most important aspect that must be monitored and evaluated regularly by the company. The data collection methods used in this activity are primary and secondary data collection methods. The output of this activity is the MyPetHouse MSME inventory management application, which is web-based. The results of the EOQ system design are expected to help MSMEs in supplying and managing inventory, where EOQ helps MSMEs determine the right amount of inventory supply to reduce costs that will be incurred.

Mobile Web-Based Cassava Inventory Management System: A Case Study at CV Panca Yoga, Purbalingga

A web and mobile-based inventory management system is developed with the aim of streamlining the process of checking incoming goods, outgoing goods, stock inventory, and report generation for business owners and employees. CV Panca Yoga, operating in the cassava trading industry since 2012 and located on Jalan Raya Kejobong, Krenceng, Purbalingga, Central Java, serves as a case study. The existing inventory data recording processes at CV Panca Yoga are considered inefficient and ineffective, as they rely on manual procedures for recording incoming and outgoing goods, managing stock inventory, and generating reports. To address these issues, we have designed a web and mobile-based inventory management application that facilitates the input of data related to incoming and outgoing goods, stock inventory, and report generation. This digitized system not only enhances speed and efficiency but also reduces the potential for errors.

Aplikasi Sistem Informasi Pengelolaan Keuangan Dan Inventori Persediaan Barang Dengan Metode Perpectual Pada Ud. Sinar Sejahtera Berbasis Web

Analysis of goods inventory system is a sales information system that produces information that can be useful for supporting sales activities. Sales information system as an application that manages data in collecting, storing sales data so that it can be distributed back to the agency. Information system as a solution in overcoming UD Sinar Sejahtera in the process of managing sales data, purchase data, outgoing goods data, incoming goods data, stock data, and buyer data in an organized manner. The method used in developing this application uses the perpectual method which can be called the bookkeeping method, the results of feasibility testing from application users reach 83% if the application is feasible to use. This research produces new innovations and produces a financial and inventory management application system at CV Sinar Sajahtera Pondok Pesantren Nurul Jadid.

PERANCANGAN DAN PEMBUATAN APLIKASI INVENTORY MANAGEMENT BERBASIS WEB PADA PT. X MENGGUNAKAN METODE EOQ(Economic Order Quantity)

Inventory is an activity that includes goods owned by a company with the intention of being sold within a certain business period, or inventories of goods that are still in construction or production processes, or inventories of raw materials awaiting use in a production process. PT. X is a company whose scope of business includes the distribution of communication equipment, accessories, electronic devices. PT. X itself sells several kinds of electronic products such as printers, cellphones, barcode scanners, computers, and others. Currently PT.X is carrying out data management of PT. X still enters data manually into Microsoft Excel, even reporting data for bookkeeping is still done manually. So it is very ineffective and data can be easily manipulated and if an error occurs in the storage on the device or the device is suddenly damaged, the data that has been collected can be lost. Web-based Inventory Management application at PT. X which will be made later aims to be a system that will assist in recording incoming and outgoing stock of goods. The process of making applications that are made using the waterfall method, with object-oriented design methods using the UML method, and the framework used uses the Laravel PHP framework.

Retail inventory policy under demand uncertainty and inventory-level-dependent demand

PurposeThe purpose of this paper is to determine the inventory replenishment policies when demand rate is a function of the inventory space allocated to the products on retail shelves. Existing results on inventory policies with inventory-level-dependent demand (ILDD) assume deterministic functional forms of the demand rate. In this paper, the authors model the inventory decisions when demand is a function of shelf-space allocation and random uncertainty. The authors provide managerial insights of this paper's results.Design/methodology/approachThe demand rate is assumed to be a function of shelf-space allocation based on two settings in the literature. First, the authors model the demand rate as a function of initial shelf-space allocation. In the next setting, the authors assume that the demand rate is a function of instantaneous inventory level on shelves. In both the settings, the authors also model random demand uncertainty in addition to the shelf-space dependency of demand rate. The objective is to maximize the expected profit and determine the inventory parameters.FindingsIn addition to the demand uncertainty, the authors consider linear, power and exponential functional forms of demand rate. Inventory policy that maximizes expected profit is determined when demand rate is a function of initial allocation and displayed inventory level. The results are implementable for practitioners for optimizing the shelf-space allocation and related inventory policy.Originality/valueMost of the extant results on inventory policy with shelf-space-dependent demand do not model the demand uncertainty. The authors model a variety of functional forms of demand rate with ILDD in addition to the demand uncertainty. The results are a building block for more applications in inventory management for real-life applications.

A Hybrid Sampling Based and Gradient Descent Method with Applications in Inventory Management

A Hybrid Sampling Based and Gradient Descent Method with Applications in Inventory Management

Optimised path planning of a UAV for inventory management applications

Inventory management in warehouses is a crucial task in the logistics industry. Manual stocktaking in larger-scale warehouses can be time-consuming and labour-intensive. To automate this process, unmanned aerial vehicles (UAVs) have gained popularity due to their potential to offer a safer, timeous, and more efficient solution. However, deploying drone systems can face challenges and therefore requires planning tasks such as path planning. This study investigates two commonly used UAV flight paths to identify the optimal path within a warehouse: zigzag and up-down flight paths. A Gazebo simulation was considered with a six-rotor UAV model to analyse the different flight paths. The accuracy of both path types is measured for comparison, and flight times were considered as a means for optimisation. The results indicated that the zigzag flight path is the most optimal with the shortest flight time. The study found that the zigzag path resulted in a 27.25% shorter estimated flight time compared to the up-down path.

PROCESS AUTOMATION OF WAREHOUSE INSPECTION USING AN AUTONOMOUS UNMANNED AERIAL VEHICLE

Inventory management applications using unmanned aerial vehicles (UAVs) appear to have the highest potential for use in warehouse operations. They remove the need for manual inspection, which is in most cases performed in heights using ladder, pen and paper. Moreover, it provides a competitive edge in the field of logistics while decreasing costs and improving stock management efficiency. Deployment of autonomous UAVs in an indoor environment puts higher requirements for the level of autonomy due to the more complex nature of the environment (narrow crossings, absence of Global Navigation Satellite System (GNSS), smaller manoeuvring space, dynamic environment, etc. ...). In this paper, we would like to introduce a system for automation of planning, managing, and executing a warehouse inspection. The goal is to provide an easy-to-use framework of the inspection task that any warehouse operator is capable of using it. The system consists of two main parts - user interface and path planner. Using a created human-machine interface (HMI), an operator is able to define the workspace and the inspection task. The path planning module takes as an input the definition of the inspection task defined by the operator and plans an optimised collision-less path. The operator can visualise the generated mission, launch it, observe the mission execution progress in real time and receive the mission results. The functionality of the system is verified by a simulation as well as by test flights made in an environment simulating a warehouse by a real UAV called AV Discovery built by Airvolute s.r.o.

Defining key pharmacist and technician roles in response to a hospital downtime or cyberattack

The occurrence of ransomware, or “cyberattacks,” on hospital institutions has steadily increased in recent years. Pharmacy departments that rely on automation and software applications are greatly affected when those systems are offline. Pharmacy workflow without automation can be manually intensive and unsafe for patients. More challenges may be present if the hospital pharmacy is not prepared for a cyberattack or does not have standardized downtime procedures for such an event. This article describes a specific event that took place at a 350-bed acute care hospital located in the United States during the summer of 2021. The hospital lost access to the electronic health record, admitting and registration system, financial systems, pharmacy information systems, barcode medication administration systems, server for the automated dispensing cabinets or inventory management applications, diversion software, compliance applications, and all clinical decision support tools. The goal is to describe a standardized downtime procedure for medication management by identifying specific pharmacist and technician roles when automated processes are offline.

Development of Mini Smart Library Direction System Incorporated with the Library of Congress Classification System: A case study of East African Libraries

This paper focuses on the development and implementation of a Mini Smart Library Direction System that is integrated with the Library of Congress Classification (LCC) System to facilitate easy book tracing in libraries. A library is a storage building with ample information about books, etc., and their various topics. The LCC system is a method of categorizing books into classes. Technology is evolving and libraries today are becoming more digitized. This, in turn, helps to facilitate easy access to library bookshelves. Nowadays, many libraries have adopted an electronic system that catalogues books, although the process of searching for a book may vary slightly from one library to another. However, the library user needs to search in the library catalogue to identify the needed book and use the call number to find the book on the shelf. In case the library user fails to locate the book, the librarian assists. This manual method has several drawbacks, including time spent walking around in the library searching for the book, and stress experienced throughout the process. According to case studies conducted at the Nelson Mandela African Institution of Science and Technology in Tanzania, and the University of Juba, South Sudan, it is noted that students are having trouble finding books in libraries. The developed system is based on the Internet of Things, and it connects through Wi-Fi to browse a specific shelf that illuminates based on the user's preferences via a keypad/mobile application (Blynk). It has a web-based user guide manual. The system was tested against the essential characteristics of embedded and IoT systems. As a result, the system is suitable for usage in supermarkets, warehouse stores, and other inventory management applications.

Design And Development Of An Application For Database Maintenance In Inventory Management System Using Tkinter And Sqlite Platform

The challenges in classical way of inventory log are human mathematical ability, paper maintenance, untidy process of editing and chances of missing the data of invoice and outward. The proposed idea is to develop an inventory management application using Tkinter and SQLite platform that creates a way towards progressively from traditional applications to a fully connected and customized inventory management system. This application uses password encryption to ensure the data privacy between the administrators and other workers of the industry. The system utilizes the integration of Tkinter and SQLite for the effective Graphical User Interface interfaced with Relational Database Management System. This customized application enables the administrator to add a new employee or remove the existing employee, he can update the stock quantity, and can back up the invoice history. Due to the login feature, the details of the product outward such as who withdrew and when it was withdrawn are automatically stored in the database. This digitization of inventory management system increases flexibility, reliability, smart storage, resource utilization, easy access to product location and warehouse management. It would be one time investment no further investment needed if at all any problem or errors occur in the app by human mishandling. The application saves us a lot of time because it uses SQL in it which is structured language, the data can be retrieved soon without any time delay and the human errors are avoided due to its structured nature.

Development of Inventory Management Application Points Of Sale Using Laravel

development of the business world encourages companies to always try to improve the quality of products and services to consumers. The implementation of these business solutions is a commitment in increasing the competitive advantage of corporate customers in terms of efficiency, effectiveness, performance, and business development. The purpose of this research is to conduct an analysis and design of a point of sale (POS) management application to support the purchasing service system and stock of goods that can help small and medium entrepreneurs in data management. The making of this POS application starts from collecting all the data needed using observation and interview methods, designing an application model with an object-based diagram approach with application design tools in the form of flowchart and Unified Modeling Language (UML) until the implementation of this POS application. With the application of the point of sales (POS) application can help the tasks of related parties or all stakeholders directly related to the POS application.

Various Methods for ABC Analysis of Inventory in MS Excel with Examples

The technologies in IT industry play an important part in all areas of business and education in the contemporary world. It is hard to imagine most of the activities going smoothly without computers and software. The purpose of this paper is to present an idea for inventory ABC analysis. A sample dataset is used. A classification of inventory by empirical and graphical method in MS Excel is carried out. The application of ABC analysis in inventory management leads to a differentiation of inventories into three groups - the most essential, the least essential for the activities of the organization and all between them. Depending on the level of importance of the inventories, different approaches for their management are recommended. This leads to the need to optimize logistic costs. The proposed approach can be used in the educational processes for students and also for real practical applications in inventory management in logistics.