Warehouse Inventory Management Research Articles

Applications of artificial intelligence in the field of drones

Drones, now equipped with sophisticated sensors and high-resolution cameras, have evolved into highly advanced tools capable of executing a diverse range of tasks with precision and efficiency. The integration of Artificial Intelligence (AI) has been a game-changer, endowing these aerial vehicles with the ability to process information, make autonomous decisions, and perform complex operations without direct human intervention. This paper delves into the transformative potential of AI-integrated drones across various industries, highlighting their role in revolutionizing the way we approach tasks such as autonomous navigation, package delivery, warehouse inventory management, and disaster response. The paper concludes with a comprehensive summary of the findings, emphasizing the potential benefits of AI-integrated drones in various sectors. It also looks forward to future research directions, which will focus on addressing significant challenges such as ensuring data privacy, improving the robustness and reliability of AI algorithms, and navigating the complex regulatory landscape that governs drone usage.

Towards Sustainable Two Warehouse Inventory Management: Flexible Payments and Demand-Driven Optimisation with Preservation Technology and Carbon Emission Considerations

Towards Sustainable Two Warehouse Inventory Management: Flexible Payments and Demand-Driven Optimisation with Preservation Technology and Carbon Emission Considerations

Path Planning of Multiple Quadrotors with Ultrawideband Localization for Warehouse Inventory Management

The paper aims to investigate the effectiveness of ultrawideband localization in the path planning of multiple quadrotors performing inventory management in warehouses. As studies investigating warehouse automation became prevalent, researchers have looked into integrating quadrotors to aid inventory management with their ability to equip a wide array of sensors and reach high altitudes. Indoor localization has been one of the main foci of research where simultaneous localization and mapping (SLAM) and radio frequency identification (RFID) were commonly used due to their reliability and accuracy. Ultrawideband (UWB) can be viable for quadrotor navigation with their effectiveness even in nonideal lighting conditions and its relatively inexpensive infrastructure. A path planning algorithm was designed which optimizes quadrotor energy consumption and yaw movement. Simulations were performed to verify the feasibility of the system, and field experiments were carried out to assess the accuracy of UWB to localize the quadrotor. Results have shown that UWB maintained an accuracy of 0.43 m with 95% reliability, even if two quadrotors were used. Moreover, the quadrotor energy consumption was minimized successfully, with the maximum energy consumption difference below 23% for multiple inventory management.

Evolutionary Algorithm-Based Energy-Aware Path Planning with a Quadrotor for Warehouse Inventory Management

Quadrotors have been vital for automating warehouse processes. However, a significant gap in recent studies is that they use a single quadrotor with limited battery life, considering that their objective involves navigation in a large-scale environment such as a warehouse. Using an energy consumption model to enable more efficient navigation can be explored. Conventional data-driven energy models and path planning algorithms are insufficient for describing the various motions that a quadrotor can perform in warehouse operations, such as changes in yaw. This study aims to design a novel exhaustive data-driven energy consumption model and evolutionary algorithm-based path planning algorithm to consider various quadrotor movements involved in warehouse operations. The quadrotor is tasked with performing a set of movements to each be represented as a power equation in terms of their velocity. The obtained equations were subsequently used as the primary optimization objective for the path planning algorithm, which included yaw angle objectives and constraints. A set of experiments was performed with Crazyflie quadrotors to verify the model and the algorithm. The results showcased the accuracy of the energy consumption model, which was kept at a maximum difference of 0.6%. The designed path planning algorithm obtained greater energy efficiency in the generated paths compared to other state-of-the-art evolutionary algorithms with similar objectives and constraints. Doi: 10.28991/HIJ-2023-04-04-012 Full Text: PDF

Research on Life Cycle Management of Medical Consumables Based on Hospital Resource Planning System

In order to improve the compatibility of the hospital resource planning (HRP) system for the whole life cycle of medical consumables, and to improve the management and control capabilities of hospital institutions on medical consumables. Based on the traditional HRP system, a secondary development and design of a medical consumables whole life-cycle artificial intelligence module was conducted, and a neural network machine learning algorithm module was introduced to enhance its big data integration and analysis capabilities. The simulation analysis found that after adding this module, the proportion of minimum inventory, the proportion of procurement cost difference and the expiration rate of consumables all decreased significantly, and the differences were statistically significant (P<0.05). The whole life cycle module of medical consumables based on HRP system can effectively improve the management efficiency of hospital medical consumables, adjust the warehouse inventory management ability, and improve the overall management level of medical consumables.

WiSion: Bolstering MAV 3D Indoor State Estimation by Embracing Multipath of WiFi

Recent years have witnessed a remarkable growth of micro aerial vehicle (MAV) technologies, which are desirable for many applications, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">e.g.</i> , warehouse inventory management and home entertainment. These indoor needs significantly improve work efficiency while posing fundamental challenges in the design of MAV state estimation. The state includes a vehicle's position, orientation, and velocity, which are fundamental to guide the motor control and adjust that vehicle's actions in autonomous flight. Existing vision-based solutions only work in well-lit texture-rich environments, while laser-based solutions are limited to MAVs' payload and budget. This paper presents WiSion, a robust and low-cost state estimator that leverages ubiquitous WiFi to estimate six-degree-of-freedom states for MAVs. Our observation is that the multipath of WiFi conceals a wealth of information about a vehicle's state, which helps combat the temporal drift of inertial sensors for smooth state estimation. We realize WiSion by an absolute-relative WiFi sensing module and a WiFi-inertial state estimation module. It works without knowing access points' (APs') positions. We implement the prototype with off-the-shelf products and conduct experiments in indoor venues. Our results show that WiSion achieves the position error of 35.25 cm and the attitude error of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$2.6^\circ$</tex-math></inline-formula> with a maximum linear velocity of 1.74 m/s. Moreover, WiSion can recover APs' positions and is robust to indoor hindrances such as obstacles and multipath.

Implementation Cryptography and Access Control on IoT-Based Warehouse Inventory Management System

Warehousing is a product storage management activity to ensure product availability, so inventory management is needed to oversee the movement of logistics and equipment. Some things need to be considered in the storage process, such as the suitability of the storage location, safe from theft, and safe from physical disturbances. Vulnerabilities can occur when unauthorized users find out information from the database regarding stored goods, so a security mechanism for the warehouse database is needed. In addition, proper identification needs to be made of someone trying to access the database. In this research, a Warehouse Inventory Management System (WIMS) was created by implementing the AES-128 cryptographic algorithm, which was built using ESP32 and Raspberry Pi 3 devices. Time Password (T-OTP). The results show that the built system can overcome inventory problems in conventional warehousing management systems and implement data security using the AES-128 algorithm. The application of two-factor authentication in the form of smartcards and T-OTP shows very good results in testing its accuracy to overcome the vulnerability of unauthorized access to the system database

Scrutinizing IoT applicability in green warehouse inventory management system based on Mamdani fuzzy inference system: a case study of an automotive semiconductors industrial firm

ABSTRACT Over the last three decades, sustainability has been increasingly essential and it is a crucial facilitator for building resilient warehouse inventory systems. Uncertainty influences qualitative criteria for evaluating Green Warehouse Inventory Management performance. According to researchers, technological innovations such as the Internet of Things could be used to help warehouse inventory operations achieve long-term sustainability. An Internet of things-based fuzzy set theory model is developed in this paper for dealing with language inaccuracy and uncertainty in human judgment. It is also the first to use the Mamdani Fuzzy Inference System to assess a company’s Green Warehouse Inventory Management performance in terms of green metrics. The suggested model reveals that the green delivery dimension has the greatest impact on firm performance, based on data gathered from a case company. Numerous defuzzification approaches have been used to demonstrate the resilience of the proposed FIS model.

Pembuatan Sistem Informasi Pengelolaan Data Penjualan dan Stok Distributor Sandal di CV. MAKMUR

As a distributor company CV. MAKMUR needs to use information technology not only for selling its products but also in warehouse inventory management, where there is no longer recording and calculating inventory using Microsoft Excel, where there are several errors such as errors in recording goods and taking long reporting processes. The collection of data obtained are interviews, observations and literature studies, while software development uses the classical waterfall methodology which consists of stages: needs analysis, design, implementation and testing. For system design through an object-oriented approach with the Unified Modeling Language (UML) tool. Through this application, it is hoped that the service process to consumers can be clear and fast. In addition, this inventory application can be used as inventory material for products that are in stock used in the warehouse which includes recording, processing, and reporting data on warehouse inventory.&#x0D; &#x0D; Keywords : Information System, Management, Sales, Stock

A study of retail hyper market warehouse inventory management in Malaysia

The objective of this article was to explore a retailer's warehousing inventory accuracy in Malaysia and improve its Warehouse Management System. A qualitative research approach was used to conduct an in-depth case study of two retail hypermarket warehouse operations in Malaysia, which provided data on logistics services. Many retailers made significant investment to improve the inventory accuracy and customised their value proposition to better meet the requirements of the customers. As a result, the role of warehouses has transitioned into managing the stock management between the end-to-end supply chain and retail business. Due to the highly competitive scenario in Malaysia, the retailers arecontinuously forced to improve inventory accuracy, with a warehouse management system- based application, to smoothen the tracking of inventory management. The findings of this study have major implications for academicians and the warehouse industry practitioners in terms of strengthening their understanding of the theories, practices, and solutions for obtaining optimal inventory accuracy. Future research could take up a quantitative study, to examine the relationship between warehouse management system and warehouse operational performance.

Pengembangan Sistem Informasi Persediaan Barang Berbasis Web di CV Kunikita

CV. Kunikita is a distributor in Garut city which is engaged in online sales for various product categories, namely food, fashion and skincare. As a distributor in the field of online sales, the management of storage of goods in the warehouse of CV. Kunikita is still by hand, that is, it is written in a ledger so that inventory information is not accurate. For this reason, it is necessary to use communication information technology in warehouse inventory management, no longer written in a ledger where this will result in data mismatches. The data collection method in this study is a qualitative descriptive method, and the methodology for developing this application is the waterfall SDLC method with black box testing and white box testing. Web-based information system application at CV. Kunikita with a database as a data storage facility that makes data processing and storage more efficient and useful for reporting data on warehouse inventory so that it can quickly take action to fill the warehouse inventory.

Modern innovative technologies in warehouse inventory management

The purpose of the research is to study the benefits and potential problems of using Radio Frequency Identification Devices (RFID) in the warehouse management and inventory supplychain management. Methodology. In the process of writing this article a few various types of the observation, timing, motional, inventory, and historical methods (describing present time limitations of the current inventory tracking system compare to the benefits and obstacles of the proposed new generation inventory management system) were used. To support our conclusion, we used data from the sampling research conducting on the premises of six distribution centers. Generalized results of this study helped us to create a comparison between deployment of the system with the use of just RFID tags, just barcodes, and a hybrid technology, were both types of the inventory markings were incorporated. Results. As it was predicted even before the research begins, the result of the study proved that use of the RFID technology significantly improved reliability of the inventory system by reducing number of out-ofstock (OOS) items, improved speed of the data collection and reduce amount and time of the manual work. It was also determined that RFID technology will help companies to better manage day-to-day inventory operations. The overall results suggested that use of the RFID technology will help companies to reduce fixed and variable costs associated with the daily operation of the inventory management system. However, it was also found that RFID system is not prone to the problems related to the breakage of the equipment and tags themselves. It is also worth to take into account a cost of RFID tags compares to the barcodes or two-dimensional barcodes. If a medium size company will decide to switch to the RFID technology completely, the cost of the switch might not overweight the saving the company will have. In this case a possible solution might be two-dimensional barcodes. Practical meaning. We hope that results of the study, our observations, and comments will help businesses to evaluate deployment of the RFID technology better, understand some unrecognized pro and cons of it and find possible ways to improve on the current systems by using advantages of multiple inventory solutions. Prospects for further research. Consideration should be given to a possible research of the security of the RFID technology, safety of the protocols it uses to collect and transmit data, and, finally, a possibility of the external intrusion and malicious data manipulations and the ways to prevent it.

Estimating construction waste truck payload volume using monocular vision

Quantifying truck-loaded materials is a problem in many industrial operations. In construction and demolition waste (CDW) management, inspectors at disposal facilities are often required to measure the amount of different waste components loaded by incoming trucks to determine admissibility. Due to the bulky and mixed nature of construction materials, accurate quantification of specific waste categories without sacrificing operability in the field is a challenge. This study proposes a CDW volume estimation algorithm based on monocular vision which can automatically quantify from a single image the amount of specific material components, e.g., rock, gravel, and wood, in waste mixtures. The algorithm achieves a relative error of 0.065 in calculating truck bucket dimensions, and a relative error of 0.169 in estimating material-level construction waste volume. It takes 3.3 s in average to process one image. In applying the algorithm to analyze 2,914 waste truckloads received by an off-site sorting facility in Hong Kong, we observe that the facility entrance received around 800.0 m3 CDW per day of which about 10.8 m3 were rejected. Since non-inert wood/cardboard accounts for the highest proportion among all material types, this may imply that many waste dumps accepted by the facility may have been in violation of the admissibility criteria. The study contributes to the knowledge body by providing a novel, non-destructive approach to quantifying CDW via monocular vision. It can be extended to address the general problem of truck payload quantification in scenarios such as road construction, warehouse inventory management, and logistics and supply chain management.

Development of a Web Based Inventory Information System

CV. T. Kardin Pisau Indonesia is a company engaged in the manufacture of knives, having its address at Jl. Hegarmanah No.46 Bandung. As a manufacturing company, CV. T. Kardin Pisau Indonesia needs to take advantage of information technology in warehouse inventory management, no longer in manual management, namely recording in paper media, which will be vulnerable to data mismatches. Web application here is defined as an inventory application, through displays which include items to be stored in the warehouse and incoming and outgoing product transactions. The research method used here is Research and Development (R&amp;D). Making software is done with a waterfall model which consists of stages: needs analysis, design, implementation, and testing. In object orientation paradigm modeling system with visual UML. The results of this study produce web-based software using the YII Framework with the MVC (Model View Controller) method. Through a web application that provides direct contact, it is hoped that the service process to consumers can be clear and fast. This inventory application can be used as material for product inventory in warehouse stock which includes recording, processing, and reporting data on warehouse inventory. Another benefit is that with this web-based application, the head office can know the inventory in the warehouse by itself so that it can quickly take action to fill the warehouse inventory.

Warehouse Inventory Management with Cycle Counting Using Drones

Drone based inventory management is an attractive solution for industries to think and implement in order to make industrial work easier, reliable and quicker. These cost friendly drones are to be designed to keep accurate record of an inventory within warehouses. To achieve this target drone have been interfaced with the Wi-Fi, camera module and hence can be able to perform image processing which is required to scan the barcode to note the information related to the particular product. Navigation of the drone can be achieved by studying markers. So, we can make drone fly all over the warehouse and can be able to complete the task successfully without leaving a single product.

Unmanned Aerial Vehicles for Inventory Listing

Drones are a breakthrough technology in warehouse inventory management as they enable real-time, fast and accurate inventory listing while minimising operational costs to supply chain stakeholders....

연속조사 재고정책하에서 소매업체 행동 편향 정보를 활용한 최적 재고관리 방안

We consider a supply chain consisting of one warehouse and multiple retailers under a continuous review policy. In this setting, warehouse inventory management utilizing real-time inventory information of retailers has been an important topic. Recent progress in behavioral operations management suggests that the reorder decisions of retailers may deviate from optimal decisions due to behavioral bias. Thus, incorporating human decision bias in deriving the reorder decisions of retailers is crucial in the inventory management of warehouses. In this study, we propose a behavioral order risk model to determine optimal reorder timing considering the behavioral bias of decision-makers. We consider two types of behavioral bias: ex-post inventory error and loss aversion. Through behavioral experiments and computer simulation, we show that a cost reduction of 24.9% can be achieved by considering the behavioral bias of retailers in the inventory management of warehouses.

Warehouse Inventory Management System for the Smooth Delivery of Cargo to Reduce Dwelling Time at the Port of Tanjung Emas Semarang

Delivery cargo is a job of moving goods from the pile or a heap in the warehouse, handing it to be arranged on the vehicle and sending it to the receiving warehouse (consignee). The delivery of goods in the form of fertilizer carried out by PT. PUSRI (Pupuk Sriwijaya) at the Port of Tanjung Emas Semarang from the first line warehouse to each branch of the receiving warehouse throughout Indonesia experienced problems. The problem faced in the activities of the cargo delivery is the delay in the process of shipping goods caused by one of them by a bad warehouse inventory management system so that dwelling time is getting longer. Therefore, a good warehouse inventory management system is needed. This system has several functions, among others, as storing detailed information of goods and pointing to the location of goods. Warehouse inventory management system created with the Internet of Things was developed to track the goods / products that were previously recorded. In monitoring all information used Aduino. the web was built to provide comfort and ease in finding goods / products. With this system the cost required is low and efficient and very easy to use.

Identification and Modelling of a Stock Level by Parametric Models

In this paper, we present a modelling of a warehouse inventory management system. Themodelling method used in this paper is an application of parametric identification with models(ARX, ARMAX, OE and Box Jenkins). The approach followed during this modelling is togenerate a mathematical model that faithfully represents the level of stocks in a warehouse from receptions and shipments.

A scenario-based stochastic programming approach for aircraft expendable and rotable spare parts planning in MRO provider

PurposeThis paper aims to build a novel model and approach that assist an aircraft MRO procurement and overhaul management problems from the perspective of aircraft maintenance service provider, in order to ensure its smoothness maintenance activities implementation. The mathematical model utilizes the data related to warehouse inventory management, incoming customer service planning as well as risk forecast and control management at the decision-making stage, which facilitates to alleviate the negative impact of the uncertain maintenance demands on the MRO spare parts inventory management operations.Design/methodology/approachA stochastic model is proposed to formulate the problem to minimize the impact of uncertain maintenance demands, which provides flexible procurement and overhaul strategies. A Benders decomposition algorithm is proposed to solve large-scale problem instances given the structure of the mathematical model.FindingsCompared with the default branch-and-bound algorithm, the computational results suggest that the proposed Benders decomposition algorithm increases convergence speed.Research limitations/implicationsThe results among the same group of problem instances suggest the robustness of Benders decomposition in tackling instances with different number of stochastic scenarios involved.Practical implicationsExtending the proposed model and algorithm to a decision support system is possible, which utilizes the databases from enterprise's service planning and management information systems.Originality/valueA novel decision-making model for the integrated rotable and expendable MRO spare parts planning problem under uncertain environment is developed, which is formulated as a two-stage stochastic programming model.