Replenishment System Research Articles

Developing Measurement of Collaboration Between the Supplier and Client Firms

This study recommends a suitable model for evaluating supply chain collaboration in the natural forest products industry. We follow a two-step analysis: The first-order measurement model is leveraged to assess collaboration level, and the second-order confirmatory factor analysis develops the collaboration level by using four indicators representing customer and supplier firms as well as two specific indicators for each of them. Four items are common practices for both sides: joint sales forecasting, exchange of basic information, joint planning, and joint delivery improvement. Two practices are highly oriented toward customers: resource sharing of logistics assets and exchange of performance evaluation. Business-to-business practices engaged mostly with suppliers include the implementation of replenishment systems and joint new product development. Collaboration measurement between suppliers and client firms contributes to effectively manage the relationship between the supplier and client firms and can improve the competitiveness of participating firms in the network.

Vendor Managed Inventory (VMI) Implementation in Recycled PET Preform for The Beverage Industry

The beverage industry is a company that is focused on producing mineral water in Polyethylene Terephthalate (PET) bottles. PET bottles serve as the primary packaging choice in the beverage industry, making the use of preforms as a material for bottles unavoidable. On the other hand, the public is more aware of using sustainable materials. Adapting market awareness, the company shifted from virgin material to recycled material. Due to the significant initial investment, the company has decided on a single supplier strategy for recycled PET preform suppliers. This policy forces the company to manage the supplier to meet the company’s delivery accomplishment target. Currently, in the management of beverage found in the industry, the supplier only reaches 50% of delivery accomplishments, whereas the company target is 90%. The beverage industry strived for a revolution, so the company’s target was achieved. The vendor managed inventory method is implemented in this study to create a new revolution for PET preform suppliers, a new replenishment system. After the implementation of Vendor Managed Inventory (VMI), there has been an improvement, reaching 95% in delivery accomplishment. The adoption of vendor managed inventory ensures the attainment of the company’s objectives.

Methodological Activity of the Republican Youth Library of Tatarstan

In recent decades libraries have faced global societal and technological challenges. At the same time, the state support of Russian librarianship is increasing. Libraries have every opportunity for development, they are becoming even more in demand and modern.The Russian Government Order No. 608-r of March 13, 2021 approved the “Strategy for the Development of Librarianship in the Russian Federation until 2030”, which served as a powerful impetus for the improvement of the country’s libraries. “Strategy...” is aimed at comprehensive development of librarianship, modernization of the library system of Russia, preservation and replenishment of library collections, expansion of free and equal access of citizens to information, improvement of the quality of library staff training, introduction of information technologies. The need for scientific and methodological support of library activities is also taken into account. In 2022, the professional standard “Specialist in Library and Information Activities” was approved, which establishes unified requirements for the content and quality of professional activities of specialists in all functional areas of the library.Federal and regional libraries as focal points for other types and kinds of libraries accepted the challenge to change and revised their activities.The library network of the Republic of Tatarstan includes 1508 libraries. The state programme “Development of Culture of the Republic of Tatarstan” was adopted in the region. The experience of the Republican Youth Library as a methodological and coordinating center of libraries of the Republic of Tatarstan working with youth, as well as a project office for the creation of model municipal libraries in the Republic of Tatarstan is presented.

Methodological Activity of the Republican Youth Library of Tatarstan

In recent decades libraries have faced global societal and technological challenges. At the same time, the state support of Russian librarianship is increasing. Libraries have every opportunity for development, they are becoming even more in demand and modern.The Russian Government Order No. 608-r of March 13, 2021 approved the “Strategy for the Development of Librarianship in the Russian Federation until 2030”, which served as a powerful impetus for the improvement of the country’s libraries. “Strategy...” is aimed at comprehensive development of librarianship, modernization of the library system of Russia, preservation and replenishment of library collections, expansion of free and equal access of citizens to information, improvement of the quality of library staff training, introduction of information technologies. The need for scientific and methodological support of library activities is also taken into account. In 2022, the professional standard “Specialist in Library and Information Activities” was approved, which establishes unified requirements for the content and quality of professional activities of specialists in all functional areas of the library.Federal and regional libraries as focal points for other types and kinds of libraries accepted the challenge to change and revised their activities.The library network of the Republic of Tatarstan includes 1508 libraries. The state programme “Development of Culture of the Republic of Tatarstan” was adopted in the region. The experience of the Republican Youth Library as a methodological and coordinating center of libraries of the Republic of Tatarstan working with youth, as well as a project office for the creation of model municipal libraries in the Republic of Tatarstan is presented.

Quick response under strategic consumers with high-price and stockout regrets

This paper studies optimal pricing and inventory decisions of a perishable goods vendor in a traditional replenishment and quick-response system context—with the vendor offering strategic consumers who may exhibit regret behavior. Sometimes consumers may purchase goods without discounts (full-price) later experiencing high-price regret. Alternatively, consumers may face stockout regret when during goods price discount periods they face stockout. This study asks the question of whether and how firm price setting and inventory policy are affected by this dichotomy of regret and the quick-response cost with this regret behavior. The paper then identifies and compares the values of regret in the two systems and the values of quick response with and without regret. Findings show that stockout regret positively affects firm optimal pricing and profit in both systems. High-price regret has opposite effects. Additionally, regret in both systems have a positive value when stockout regret is significant and a negative value otherwise. When considering situations with and without regret, quick-response policy is consistently better than traditional replenishment policy. In a high quick-response cost situation, as the level of stockout (or high-price) regret increases (or decreases), the optimal firm policy transitions from traditional replenishment to quick-response policy. Finally, when stockout regret (or high-price regret) is significant, the value of regret in the quick-response system is higher than traditional replenishment system value of regret when quick-response cost is high (or low).

Using IoT and AI to replenish household food supplies: A systematic review

Food wastage because of the lack or incompletion of a household replenishment system is an essential topic to be addressed. An appropriate utilization of Internet of Things (IoT) and Artificial Intelligence (AI) technologies with particular components is needed to design a smart household replenishment system to reduce food wastage. Therefore, this systematic review is dedicated to survey papers utilizing IoT and AI tools for perishable items storage compartments, as they are always full of items that need to be monitored. This study was conducted by following the PRISMA search strategy. It examined 70 papers in chronological order starting from 2000 when LG Electronics invented the first smart refrigerator, and research on technology involvement in food storage compartments increased. This comprehensive research aims to point out the approaches, contributions, used components and limitations of the reviewed papers to develop a unified framework for a household replenishment system. The analysis resulted in 43 approaches using IoT technology, 27 using AI, and recently the use of AIoT has been trending in the past two years. This systematic review provides future directions for researchers acquired from the limitations of the reviewed papers to enhance the household replenishment system by developing and adding required features in smart food storage compartments. Further investigation into smart home appliances would lead to extensive approaches like smart shops, industries, and eventually smart cities.

Integrated inventory replenishment and online demand allocation decisions for an omnichannel retailer with ship-from-store strategy

Retailing has changed dramatically from single-channel brick-and-mortar stores to multi-channel and omnichannel retailers over the last few decades. Omnichannel retailers employ different strategies to integrate online and offline sales channels as well as order fulfillment processes. Among these strategies, the ship-from-store is the most popular and widely accepted among retailers. It enables retailers to use inventory from store locations to fulfill online demand. An omnichannel retailer with a distribution center and a retail store has to make important, interlinked decisions — (1) how much inventory to keep at the retail store, and (2) where to fulfill the online demand from and how much. In this work, we model the integrated inventory replenishment and online demand allocation decisions for an omnichannel retailer employing the ship-from-store strategy. We analyze this problem for both single-period and multi-period settings. We extend the analytical framework of the single-period problem by providing a finite-horizon Markov decision process (MDP) formulation for the multi-period problem. Our findings suggest that for a single-period setting, decentralized inventory replenishment and demand allocation system maximizes the profit of the omnichannel retailer for low values of the incentive for fulfilling the online demand through store inventory, while for sufficiently high values of the incentive, a pooled system provides the optimal profit. An increment in the discount factor has the same effect on the optimal decisions in a multi-period setting as that of salvage value in a single-period setting for a given value of the incentive for the ship-from-store strategy. We also provide several extensions (such as cross selling, endogenous and correlated demand streams) of our analytical framework for the multi-period problem.

An Autonomous Inventory Replenishment System through Real-Time Visibility and Collaboration based on IOT and RFID Technology

Supply chains consist of interconnected nodes where the movement of materials is dictated by the exchange of information. The more effectively each node gathers and disseminates information to its upstream and downstream partners, the more efficient the material flows become, hence enhancing the efficiency of the supply chains. An essential method for analyzing a supply chain is to concentrate on how inventory meets demand at each point. Insufficient supply leads to lost sales and reduced customer satisfaction, potentially driving customers to seek alternatives, resulting in future lost sales. Therefore, firms are embracing technologies like IoT and RFID to gather data and facilitate more efficient sharing, resulting in improved information and material flow. Data sharing boosts visibility, hence fostering collaboration among supply chain partners. Certain studies in the literature have employed IoT and RFID technology to enhance inventory visibility, while others opt to share the gathered data with their partners to improve inventory replenishment efficiency. Nevertheless, this paper presents an autonomous inventory replenishment system that utilizes IoT technologies to replenish inventory through real-time visibility and collaboration. The system facilitates the sharing of real-time data, such as inventory levels, with supply chain partners. Additionally, it enables automatic collaboration by allowing partners to take action based on the shared data, such as activating orders to replenish inventories at various points in the supply chain. To assess the suggested approach, we conducted an inventory replenishment simulation, comparing it to previous studies in terms of the amount of lost sales incurred when confronted with unpredictable demand. Across the 3 utilized datasets, the proposed approach demonstrated a 22.9% reduction in lost revenue compared to its nearest competition. These findings demonstrate a direct correlation between the utilization of technology in inventory replenishment processes and the speed at which inventory is refilled, as well as the reduction in lost sales.

Design and Building of an Automatic Water Filling System on Water Container Media Based on Arduino Esp8266

In the era of rapidly developing technology, innovation is important to facilitate human life. Water is the main need for all living things, especially humans, so it needs to be managed efficiently. Water filling in reservoirs is usually still done manually, which can cause a waste of clean water. Manual water filling requires humans to control the pump as needed. However, it often happens to forget to turn off the pump after the reservoir is full, which can cause a waste of water and electrical energy. To solve this problem, the idea is to make an automatic system with Arduino ESP 8266 called "Design of Automatic Water Filling System on Arduino ESP 8266 Based Water Reservoir". This system uses ultrasonic sensors to measure the water level in the reservoir. When the water reaches a certain level, the system will activate the water filling, and the user can monitor the water level in real time through a mobile device. This research aims to design and test this automatic water replenishment system to avoid water waste. The result is expected to be an efficient solution better than the manual system and beneficial in clean water management. This research will answer important questions about this system's design, workings, and test results. The main conclusion of this research is the need for improvements in the design and implementation of automatic water filling systems. Further analysis, adjustments, and retesting are needed to overcome the obstacles encountered.

Optimising Inventory Replenishment System

Optimising Inventory Replenishment System

Sales Forecasting Method for Inventory Replenishment Systems of Vehicle Energy Stations Without Stockouts

Sales Forecasting Method for Inventory Replenishment Systems of Vehicle Energy Stations Without Stockouts

Bluetooth Mesh Network-based Intelligent Light Replenishment System for Agricultural Greenhouses

Given the actual situation of greenhouse production nowadays, this paper proposes a kind of intelligent light replenishment system for greenhouses based on a Bluetooth Mesh network. The system uses the ESP32-C3FH4 microcontroller from Espressif as Bluetooth Mesh nodes to form a Bluetooth Mesh monitoring network. This paper designs an intelligent IoT device control system based on Bluetooth Mesh network technology and cloud platform services. Through the flooded network composed of Bluetooth Mesh, the natural light intensity data monitored by each service node is sent to the cloud platform periodically through the gateway, the monitored data is accessed by the cloud platform for management, and the artificial light source module is triggered according to the deposited data to realize automatic control, realizing the modernized digital management function of agricultural greenhouses.

AI vs. Human Buyers: A Study of Alibaba’s Inventory Replenishment System

Inventory management is one of the most important components of Alibaba’s business. Traditionally, human buyers make replenishment decisions: although artificial intelligence (AI) algorithms make recommendations, human buyers can choose to ignore these recommendations and make their own decisions. The company has been exploring a new replenishment system in which algorithmic recommendations are final. The algorithms combine state-of-the-art deep reinforcement learning techniques with the framework of fictitious play. By learning the supplier’s behavior, we are able to address the important issues of lead time and fill rate on order quantity, which have been ignored in the extant literature of stochastic inventory control. We present evidence that our algorithms outperform human buyers in terms of reducing out-of-stock rates and inventory levels. More interestingly, we have seen additional benefits amid the pandemic. Over the last two years, cities in China partially and intermittently locked down to mitigate COVID-19 outbreaks. We have observed panic buying from human buyers during lockdowns, leading to the bullwhip effect. By contrast, panic buying and the bullwhip effect can be mitigated using our algorithms due to their ability to recognize changes in the supplier’s behavior during lockdowns. History: This paper has been accepted for the INFORMS Journal on Applied Analytics Special Issue—2022 Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research.

CHANGES IN THE LEXICAL AND SEMANTIC SYSTEM OF THE KAZAKH LANGUAGE DURING THE COVID-19 PANDEMIC IN 2020-2022

The research paper examines the system of replenishment of the lexical layer of words that entered the lexicographic structure of the Kazakh language during the pandemic of 2020-2022. In the space of institutional discourse, terms that have actively entered the field of medicine have been identified. With the help of an electronic resource "Qazcorpus.kz" the frequency of covid lexemes was determined. The lexico-semantic word-formation structure of new complex words, which are dominated by the covid words, crown, quarantine has been studied. The creation of new periphrases describing diseases that arose during the pandemic was discovered. The topics of media articles and poems of poets written during the quarantine period were analyzed. The new terms were divided into thematic groups: therapeutic term, sanitary and hygienic term, socio-political term, educational term, and psychological term. The activity of occasional words and the pragmatic motive of new figurative expressions were also considered. It is established that a number of neologisms were translated by hybrid words. It was revealed the frequency of words of condolence during the pandemic, and an increase in phobic emotional vocabulary. It is confirmed that changes and global situations in society are primarily clearly expressed in language. As the materials of the paper, new covid lexemes from the media and the social network were collected.

X-ray Absorption Spectroscopy Reveals Mechanisms of Calcium and Silicon Fouling on Reverse Osmosis Membranes Used in Wastewater Reclamation

Reverse osmosis (RO) is widely employed to provide clean water from nontraditional sources (e.g., seawater or municipal wastewater). One of its key challenges is membrane fouling, which leads to reduced flux and increased operational costs. Despite its practical relevance, fundamental understanding of membrane fouling is limited. Toward this end, we investigated calcium (Ca) and silicon (Si) fouling under real RO feed conditions using μ-X-ray fluorescence (μ-XRF) mapping and μ-X-ray absorption near-edge fine structure (μ-XANES) spectroscopy. These techniques are distinctly suited to identify the spatial distribution and (local) chemical speciation of foulants, thereby providing unique insight into the mechanisms of fouling under realistic conditions. Specifically, we investigated RO membranes harvested from a pilot-scale RO system operated at the Orange County Water District (OCWD) Groundwater Replenishment System (GWRS) Advanced Water Purification (AWP) Facility, which received the same feed water as the full-scale plant. Both Ca and Si were found to be abundant in the fouling layer. Despite the use of a commercial antiscalant to inhibit mineral formation, several Ca minerals were present in the fouling layer as minority species, including sulfates, phosphates, and carbonates; most of these minerals were found in particles that were aligned with the feed spacer used to separate the membranes. In contrast, organic-bound Ca and silica occurred across the entire membrane. Our work provides novel insight into the synergistic mechanism of RO fouling by Ca, Si, and organics on RO membranes.

Orange County Completes Groundwater Replenishment System

OpflowVolume 49, Issue 5 p. 36-36 Departments Orange County Completes Groundwater Replenishment System First published: 05 June 2023 https://doi.org/10.1002/opfl.1834Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. Volume49, Issue5June 2023Pages 36-36 RelatedInformation

Application and Research of Automatic Ammunition Resupply and Replenishment System for Artillery: A Review

Rapid ammunition resupply is important for artillery to enhance combat capability and guarantee combat effectiveness, and the application of automatic ammunition resupply system to artillery ammunition resupply equipment is a hot spot in the current research of logistics ammunition resupply. This paper summarizes the current situation of automatic ammunition resupply vehicle and ammunition self-loading technology of artillery combat vehicles, which has reference significance for understanding the development status of automatic ammunition resupply system of artillery weapons. The research trend of automatic ammunition resupply for artillery is reviewed. It is found that the application of robotic arm is a hot spot for the research of ammunition self-loading technology of artillery combat vehicles, which can be used for reference for the technical direction of automatic ammunition supply and replenishment system for artillery in the future.

Development of a Water Supplement System for a Tuned Liquid Damper under Excitation

Integrating existing liquid storage and supply tanks in buildings with tuned liquid dampers (TLDs) are significant for reducing the effective cost of TLDs. However, existing water supplement devices for fire-suppression liquid tanks may overfill with water, which leads to TLD mistuning. To overcome this problem, a passive liquid control system named TLD with a stable replenishment sub-tank system (TLD-SRS) is proposed. The system, which consists of an additional sub-tank connected to the main tank and a floating ball, replenishes liquid in the TLD automatically. The system can avoid vibration interference and maintain the normal operation of the passive replenishment system under usual wind loads. According to the studies of tuned liquid column dampers (TLCD), the proposed TLD with a stable replenishment sub-tank system (TLD-SRS) uses simple devices to ensure that the liquid level in the TLD is steady at the target liquid level with a floating ball. The TLD-SRS is verified on a large-scale TLD shaking table experiment. The overshoot, which is the percentage of liquid that exceeds the target volume of TLD is calculated during sloshing with wind loads. Compared with TLD installed with a regular liquid replenishment device, the proposed TLD-SRS significantly reduces the overshoot of liquid and acceleration on the roof of the building.

Development of an Autonomous Robot Replenishment System for Convenience Stores

With the appealing ability of combining both mobility and manipulability, mobile robot manipulators have been applied to factory automation, telemedicine, warehousing, etc. Due to the high density of convenience stores in Taiwan, Asia, and other countries, we make further use of mobile robot manipulators to develop an autonomous replenishment system. The replenishment task for a convenience store poses challenges given its narrow aisles and the occasional presence of customers. It thus demands thorough consideration of the planning, navigation, and control of the robot, in addition to customer safety. Correspondingly, we propose strategies for task and path planning, in addition to control and sensor fusion. Specifically, a new collision-free path planning algorithm (the DWA-PS) that consider both customer safety and comfort is developed, along with replenishment and control strategies that utilize the flexibility of the mobile robot manipulator to raise working efficiency. For the performance evaluation, we apply the proposed system to conduct a series of replenishment experiments, including in a convenience store near our university.

Groundwater recharge through shallow groundwater recharge system by infiltration ponds in Fai Kwang Sub-district, Phayao Province of Thailand

The shallow groundwater recharge at an area scale in Fai Kwang Subdistrict, Chiang Kham District, Phayao Province, Thailand aim to apply of the groundwater replenishment system to solve the problem of drought and insufficient water for consumption using by shallow groundwater recharge system through the concrete circle in pond integrating with using technology to manage surface water with the GIS system and geophysical surveys for evaluating the potential of groundwater resources to access information on land use, soil conditions, water resources. The groundwater recharge system at depth 12 m and water was replenishment occurs flow from pubic pool collected water converted to water filtration and pumping average water volume of 3.54 m3/hr to solve the problem of surface water quality for water supply in tap water production of Siwilai Village, Fai Kwang Subdistrict, Phayao Province, which enabled people in the area to used water for 200 homes. The social return on investment (SROI) was 59.23%, reducing water purchase and medical expenses due to water quality impact. The study results have led to the creation of water management policies and the application of information and innovations for drought resolution. Measures and requirements for using public water sources for consumption collecting income for the maintenance of the village's water supply system.