Warehouse Inventory Research Articles

MONITORING AND EVALUATION OF STRIPPING : RICE SEED SUPPLY

Raw material inventory stands as the largest asset within a company's holdings. However, discrepancies arise within the rice seed inventory, diverging from government accounting standards, alongside instances of double recording of income from rice seed sales. This research aims to address these issues. Employing a descriptive research method, the study focuses on work units at Subang The Large Testing Center For Standard Rice Instruments, with 4 respondents: the Warehouse Section, Administration Section, Inventory Operator, and Receipt Treasurer. Findings reveal that the The Large Testing Center For Standard Rice Instruments categorizes seed supplies as raw material, when they should be classified as animal and plant supplies, intended for sale or distribution to the public. Moreover, the rationale behind the double recording of self-produced rice seed supplies lacks presentation at production cost. Consequently, it is advised to record inventory in process and reclassify it within the inventory of animals/plants designated for sale or distribution to the public, and necessary monitoring and evaluation of the socialization of the Circular Letter of the Secretary General of the Ministry of Agriculture Number B-5928/PL.210/A/12/2018 dated 31 December 2018.

Drone-based warehouse inventory management of perishables

Warehouse inventory management is a complex process. When inventory includes perishables, the complexity of these processes is compounded with additional requirements such as appropriate ambient storage conditions and placement of one type of perishables (e.g., bananas) far away from another type of perishables (e.g., strawberries). With perishables spending a significant amount of time post-harvest in warehouses, appropriate management of warehouse inventory is necessary to reduce wastage due to spoilage. Drone-based warehouse inventory management is gaining popularity as seen in the increasing number of firms in this space as well as the number of research publications. RFID tags have been widely used for inventory management for more than two decades. While drones have been successfully used in warehouses with non-perishables, RFID and drone use in warehouses with perishables has not witnessed its fair share as evidenced by the lack of publications in this general area. This paper is a step in the direction to address this void in published literature. We consider object-level RFID tags and drones to automate warehouse inventory management of perishables. Results from our analytical model and simulation analysis indicate that such warehouse automation is beneficial to both the warehouse operators and their customers.

Design of Web-Based Inventory Accounting Information System at PT XYZ

PT XYZ is a company engaged in the retail trade of large and small clothing, and it is located in the city of Bandung. As a trading company, PT XYZ needs to utilize information technology in managing warehouse inventory, which is no longer manual management, namely recording in paper media, which will be susceptible to data discrepancies. The web application here is interpreted as an inventory application through a display that includes goods to be stored in the warehouse and product transactions that come in and out. The research method used here is the interview and observation method. Software creation is carried out with a waterfall model consisting of the following stages: system planning analysis, system analysis, design, implementation, and maintenance. In the object of system modeling with visual data flow diagrams and flowcharts. The results of this study produce web-based software using PHP as a programming language with MySQL as a database and visual code for its program editor. Through this system, it is expected to facilitate work and can be used at any time. This inventory application can be a benchmark for managing incoming and outgoing goods. Another benefit is that this web-based application aims to control the stock of goods at any time.

Automatically Guided Vehicles (AGV) in Agriculture

In this paper, new types of autonomous systems used in agriculture were analysed. The paper shows new self-guiding systems such as AGVs with full autonomy in degrees operation. It explains internal transport and systems of autonomous vehicles in outdoor agriculture. New autonomous systems used outside such as appliance of special navigation systems and their purpose in agriculture are present in this work. Navigation systems with GPS signal and RTK technology, vehicle guidance camera and AI machine vision for manipulation are described. Light and laser technologies for fully autonomous robotic technologies such as LiDAR system in vehicle for detection of the presence of pests and diseases are presented in this paper. The paper emphasized advantages of using AGVs as result of their autonomy, clean power sources without harmful impact on the environment. Navigation in indoor spaces that uses LTE Direct protocol is explained, whereby the Wi-Fi ceiling antenna and wireless APP for horizontal movement of AGVs is shown. The ways of using UAVs for warehouse inventory through web applications with an advanced navigation system guided by AI are given in this work.

Controlling a Virtual Structure Involving a UAV and a UGV for Warehouse Inventory

A control system based on the control paradigm of virtual structure is here proposed for a multi-robot system involving a quadrotor and a ground vehicle, operating in an automated warehouse. The ground robot can either provide extra power to the quadrotor, thus increasing its autonomy, or receive data from it. Therefore, the quadrotor is tethered to the ground robot through flexible cables, thus justifying the adoption of the virtual structure control paradigm, which allows controlling the two vehicles simultaneously. The control approach adopted aims at guiding the virtual vertical line joining the two robots to allow the quadrotor to produce an inventory of goods in an automated warehouse. Therefore, the two robots should visit a sequence of known positions, in front of cabinets of vertically arranged shelves. In each of them the quadrotor should read QR codes, bar-codes or RFID cards corresponding to the stored boxes, to produce the inventory. Therefore, the control objective, the focus of this paper, is to keep the shape of the virtual vertical line linking the two robots while moving. However, when an obstacle appears in the route, such as a box or other robot in the floor or another aerial robot, the formation changes its shape accordingly, to avoid the obstacle. An experiment in lab scale, mimicking a real situation, is run, whose results allow claiming that the proposed system is an effective solution for the problem of controlling a multi-robot system to produce an inventory in an automated warehouse.

Integrated Localization Method for a Ground-Aerial Robotic System in Warehouse Inventory Scenarios

Integrated Localization Method for a Ground-Aerial Robotic System in Warehouse Inventory Scenarios

Forecasting and stock control for fast-moving humanitarian aid supplies

In Indonesia, effective disaster management is imperative due to the region's susceptibility to a wide array of natural and man-made disasters. The establishment of the National Disaster Management Agency (BNPB) underscores the significance of this issue. This study investigates the improvement of disaster logistics, with a particular emphasis on the challenges associated with fast-moving humanitarian supplies. The primary obstacle in disaster logistics lies in the unpredictability of demand after the disaster occurred, coupled with the potential for supply disruptions stemming from inadequate inventory in warehouses. A critical focus of this research is placed on fast-moving humanitarian aid supplies, which are essential for immediate relief efforts, even when lead times are short. The study's primary objective is the development of a safety stock level policy for BNPB's national warehouse, adjusted through the analysis of demand forecasts and lead times. Notably, the research results for the year 2022 reveal minimal errors in demand forecasts. This outcome highlights the effectiveness of the safety stock policy in proactively addressing spikes in demand and mitigating uncertainties related to supply timelines. The research underscores the critical role of accurate inventory management, particularly in the case of fast-moving humanitarian supplies, within the context of disaster relief efforts. It emphasizes the importance of forward-thinking planning to meet urgent needs, ultimately contributing to more efficient disaster response efforts and ensuring the timely delivery of vital relief items to affected populations.

The picker routing problem in mixed-shelves, multi-block warehouses

Unlike conventional warehouses, where the inventory of an item is concentrated on a single shelf, the inventory in mixed-shelves warehouses is broken down into units and dispersed throughout the warehouse. As a result, the locations from where items are to be retrieved must be chosen when designing the picker tour. The rare research on the picker routing problem (PRP) in mixed-shelves warehouses focuses on (and heavily exploits the properties of) 1-block warehouses, which are warehouses with only two cross aisles. Here, we tackle the more general PRP in mixed-shelves, multi-block warehouses. To solve the problem, we propose a logic-based Benders decomposition method whereby the master problem selects the locations from where each item is retrieved and the subproblem designs the associated picker tour. We introduce tailored optimality cuts and prove their validity. In addition, we propose a set of various techniques to enhance the performance of the logic-based Benders decomposition, including a lower bounding function and valid inequalities. We show the efficiency and effectiveness of the proposed method through extensive computational experiments carried out on both standard instances from the literature (for the 1-block setting) and newly generated instances (for our case). We also leverage our algorithms to generate managerial insights into the benefits of multi-block layouts and mixed-shelves policies in warehousing.

Aplikasi Persediaan Barang Gudang di Ace Hardware Cibinong City Mall Berbasis Android dengan Menggunakan Google Appsheet

The primary objective of this research is to develop a warehouse inventory application utilizing the Google Appsheet platform, specifically designed for ACE Hardware Cibinong City Mall. The application aims to streamline the recording and monitoring processes of goods entering and exiting the warehouse. This application is designed to provide comprehensive and informative reports on the inventory levels and the distribution of goods. The development approach employed is the Waterfall methodology, which includes stages of requirements analysis, design, implementation, testing, and maintenance. The sample data for the inventory were sourced from the ACE Hardware Cibinong City Mall warehouse to ensure the application meets the specific needs and characteristics of the warehouse. The resulting application features essential functionalities for inputting inventory data and managing the structured recording of goods movements. Additionally, it can generate detailed reports that offer insights into the current status of warehouse inventory. Thus, this application is expected to enhance efficiency and accuracy in warehouse inventory management, providing a valuable solution for ACE Hardware Cibinong City Mall.

Factors Affecting the Management of Warehouse Inventory through the Vendor Managed Inventory (VMI) System in Superstore Businesses in the Bangkok Metropolitan Area

Factors Affecting the Management of Warehouse Inventory through the Vendor Managed Inventory (VMI) System in Superstore Businesses in the Bangkok Metropolitan Area

Development of Unmanned Aerial Vehicle Navigation and Warehouse Inventory System Based on Reinforcement Learning

In this paper, we present the exploration of indoor positioning technologies for UAVs, as well as navigation techniques for path planning and obstacle avoidance. The objective was to perform warehouse inventory tasks, using a drone to search for barcodes or markers to identify objects. For the indoor positioning techniques, we employed visual-inertial odometry (VIO), ultra-wideband (UWB), AprilTag fiducial markers, and simultaneous localization and mapping (SLAM). These algorithms included global positioning, local positioning, and pre-mapping positioning, comparing the merits and drawbacks of various techniques and trajectories. For UAV navigation, we combined the SLAM-based RTAB-map indoor mapping and navigation path planning of the ROS for indoor environments. This system enabled precise drone positioning indoors and utilized global and local path planners to generate flight paths that avoided dynamic, static, unknown, and known obstacles, demonstrating high practicality and feasibility. To achieve warehouse inventory inspection, a reinforcement learning approach was proposed, recognizing markers by adjusting the UAV’s viewpoint. We addressed several of the main problems in inventory management, including efficiently planning of paths, while ensuring a certain detection rate. Two reinforcement learning techniques, AC (actor–critic) and PPO (proximal policy optimization), were implemented based on AprilTag identification. Testing was performed in both simulated and real-world environments, and the effectiveness of the proposed method was validated.

Warehouse Inventory System Design in Implementing the CodeIgniter Framework and Scrum Method

When collecting data, sometimes you need tools to make it neater and better at collecting data. The infrastructure section of the Pancabudi Development University which records all incoming and outgoing goods is so large and on a university scale it makes the infrastructure less effective. The research carried out built an Inventory Warehouse System. The research results of the warehouse inventory system that was built were very well used at the Pancabudi Development University in the Facilities and Pre-Means section in warehouse data collection. This system makes it easier for UNPAB Sapras to monitor data on incoming and outgoing goods and can record all types of conditions of goods carried out. The implementation of the Warehouse Inventory System is carried out using data on goods in the UNPAB warehouse. This results in orderly and neat digital data collection. Apart from that, it is more effective because it applies the Scrum method and applies the CodeIgniter framework.

The last-mile delivery vehicle routing problem with handling cost in the front warehouse mode

This paper aims to investigate the vehicle routing problem faced by a logistics service provider that performs the last-mile delivery of large household appliances under the front warehouse mode for multiple enterprises. We formulate the problem as a new variant of the pickup and delivery problem and present a mixed integer programming model for it. To solve this problem heuristically, the neighborhood structures with newly proposed move operators are explored within a variable neighborhood search (VNS) and a randomized tabu thresholding (RTT). Experiments on small instances clearly indicate the effectiveness of the two heuristic methods. The comparative results on large-scale instances show that RTT performs relatively better than VNS. In addition, through comparison with computational results of algorithms from the literature, RTT proves good ability to solve a related problem. Furthermore, we introduce a sample case to explore the benefit of FWM for last-mile delivery and to discuss the impact of inventory in front warehouses, handling cost, and split delivery on the solution.

Warehouse Inventory Model for Perishable Items with Hybrid Demand and Trade Credit Policy

Warehouse Inventory Model for Perishable Items with Hybrid Demand and Trade Credit Policy

RANCANG BANGUN SISTEM INFORMASI INVENTORY MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT (RAD) PADA TOKO ABADI JAYA

Toko Abadi Jaya is a trading company in the furniture industry that uses technology to enhance its operations. The company recognizes the importance of technology in accessing fast and accurate information to solve various challenges. Currently, many manual tasks, such as marketing, finance, administration products management, and checking product stock availability can take a lot of time and accuracy. For example, employees need to call other employees in the inventory warehouse to inquire about stock availability. This process hinders efficiency and effectiveness. To resolve this issue, the company has developed an application-based inventory information system. This system enables employees to quickly check the availability of goods without wasting time. The application also generates reports, which aid the owner in decision-making. Therefore, it is necessary to have carefully organized data stored in the database so that the work process is easy in making reports. The design of this application uses the Rapid Application Development (RAD) method and the Unified Modeling Language (UML) design model, with Visual Studio Code as the text editor tool and Laravel as the PHP framework. This aims to facilitate the process of monitoring the stock of incoming goods and outgoing goods and provide benefits to the work process of inputting inventory of goods and providing precise and accurate reports at Toko Abadi Jaya.

Locating charging stations and routing drones for efficient automated stocktaking

Drones have received growing attention in logistics recently. One possible application is deploying drones for auditing inventory in warehouses. With the use of drones, warehouses are able to increase inventory record accuracy and decrease labor costs. In this research, we introduce the stocktaking drone routing problem (STDRP), which consists of routing a fleet of drones through a warehouse for stocktaking purposes as well as deciding on the location of charging stations on the warehouse floor, which is necessary due to the limited battery capacity of the drones. Subsequently, we develop an adaptive large neighborhood search-based heuristic (ALNS) with novel solution encoding and decoding approaches to solve the STDRP. In a numerical study, we show that ALNS can solve realistic instances in reasonable time. We also derive recommendations regarding the ideal size of the drone fleet, the charging infrastructure, and battery capacity. Finally, we investigate the interplay between the storage assignment policy (such as the popular ABC rule) and stocktaking efficiency using drones.

Application of Intelligent Logistics System Based on AGV Robot in Medical Consumables Management

Medical consumables are expensive, with numerous specifications and large usage, and traditional manual management models have certain drawbacks. Building an intelligent logistics management system to improve management level. Using AGV robots to achieve functions such as outbound, inbound, and inventory in the primary warehouse, the original "person to goods" mode is transformed into "goods to person" mode. The intelligent logistics system based on AGV robots saves manpower, costs, reduces labor intensity, improves warehouse utilization, improves work efficiency. Hospital is a new field of intelligent logistics development, and intelligent logistics systems based on AGV robots have achieved good application results in hospitals, and improved the level of hospital intelligent management.

Effect of logistics management practices on marketing performance of small and medium scale enetrprises in Calabar, Cross River

The study examined the effect of logistics management practices in Calabar. The specific objectives were to investigate the effect of warehouse management, inventory, transportation and order processing on marketing performance of SMSEs in Calabar, Cross River State. The research design used for this study is the survey method. Primary data were collected from small and medium scale enterprises (SMSEs) in Calabar using questionnaire. The data were analysed using inferential and descriptive statistical tools. Based on the results, it was revealed that warehouse management, inventory management, transportation management and order processing have a significant effect on marketing performance of SMSEs in Calabar. On the basis of the findings, it was concluded that logistics and supply chain managers should encourage effective and efficient logistics management practices in their organizations to enhance their marketing performance.

On the Control Policy of a Queuing–Inventory System with Variable Inventory Replenishment Speed

This paper considers a make-to-order production–inventory system that comprises a production facility and an inventory warehouse. Customers arrive at the facility to place an order, and the orders are processed using the first-come-first-served (FCFS) discipline. The warehouse supplies inventory items (raw materials) for the production process, and the warehouse inventory is replenished by internal production. The speed of internal production can be controlled through additional costs. If the inventory level drops to zero, the unmet demand waits in the facility until the inventory is replenished. During the stockout period, newly arriving demand is lost. The stationary joint probability of unmet demands and inventory items is derived, and a cost model is constructed. The optimal control policy for internal production is investigated to minimize the cost per unit time of the system. The experimental results show that such a production speed adjustment could reduce costs by up to 42% compared to the cases without the adjustment.

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