Industrial Warehouse Research Articles

Повышение безопасности внутризаводского и служебного автомобильного и электротранспорта путем внедрения современных цифровых устройств

Introduction. Industrial injuries are one of the most pressing problems in the field of occupational safety at enterprises of the main industries in the Russian Federation. Most cases of such injuries are noted when moving goods and people by means of various types of interfactory transport. A set of regulatory documents developed in recent years by the Government of the country is dedicated to solving this problem. In accordance with the current trends in the development of new technical solutions, the use of a complex of devices based on IT-technologies is effective. This article is devoted to improving the safety of interfactory and company motor and electric vehicles by introducing modern digital devices. Problem Statement. Almost all large industrial enterprises have a need to move goods and personnel both to the place of production activities and within the enterprises. Motor and electric vehicles used for these purposes do not always undergo a maintenance check, they often undergo technical inspection and repairs with whatever funds remains, and always the personnel operating these vehicles do not have permission to drive. Possible accidents with interfactory and company vehicles occurring as a result of insufficient control over the technical condition of vehicles and inadequate or absent medical and administrative checks of the operating personnel can lead to injuries at the enterprise. Theoretical Part. This article proposes methods for reducing traffic accidents of interfactory and company motor and electric vehicles of industrial enterprises and warehouse enterprises through the introduction of remote monitoring of operation based on IT-technologies, operating with the use of mobile applications that use Internet of Things technologies. The options for introducing security elements designed to reduce the number of transport accidents in internal transport of industrial enterprises and warehouse complexes are considered. An experiment was carried out to introduce system components to vehicles of an industrial enterprise. Conclusion. The use of the proposed monitoring and control system for motor and electric vehicles at machine-building enterprises and warehouse complexes will make it possible to quickly resolve issues related to labor protection, the economy of the enterprise and compliance with the labor discipline. In particular, it is planned to reduce vehicle failures due to mechanical failures, as well as to make timely decisions on the removal from driving the drivers who are not feeling well.

Use of landscapes in urban planning

This article describes the ecological principles of urban planning, the optimal use of landscapes in urban planning. In urbanized cities, such an opportunity is very difficult to realize, and large areas are occupied by industrial enterprises, warehouses, housing, road facilities, cultural, educational, medical and sanitary facilities. Such areas create a very large man-made pressure. cities meet more economic needs. Such potential will be focused on performing more economic functions in cities. This is because many facilities, such as workplaces, markets, transport systems, and service facilities, are primarily economic processes. Cities consist of a landscapeurban environment.

The Impact of COVID-19 on the Price Performance of Real Estate Investment Trusts (REITs) in Mexico

Real Estate Investment Trusts (REITs) are companies that own or finance income-producing real estate in a range of property sectors. REITs were created in México in 2011, they have become instruments for small and large investors to attract funds to the stock market in order to invest in real estate, such as office buildings, shopping malls, industrial warehouses and hotels, among other properties, in order to produce rental income. In just nine years of operations, the fifteen public-listed REITs in the Mexican stock market account for more than two thousand properties, with an area of 25 million square meters and 20 thousand hotel rooms, with accumulated assets of $25 billion US dollars and account for one-fifth of GDP of the country´s real estate sector. However, the pandemic effects have affected REITs revenue, particularly properties like office buildings, shopping malls and hotels. In Mexico, the first confirmed infection case of COVID-19 occurred on 27 February 2020. The increase of infected people and the presence of the first fatalities due to the virus, forced the Mexican government to establish voluntary confinement to contain the spread of the virus on 20 March 2020. In April, the suspension of non-essential activities in the country began for a 3-month period. The Mexican economy was severely affected by confinement, activity suspensions, global economic recession, and dropping oil prices. In April and May alone, 12 million jobs were lost in the formal and informal sectors and the activities that performed the worst in this period were tourism services, that decreased in April 70.4% and in May 72.1%, construction fell 38.4% and 35.9%, manufacturing had a loss of 35.6% in both months. The retail and wholesale trade sectors, transport and recreational services fell by around 30% in all cases and foreign trade declined 35.8% in April and 52.0% in May. These measures also had an important effect on the prices of the REITs Certificates. The REITs index fell 36.7%, between 28 February and 23 March 2020, just three weeks after the first contagion was announced, while the Certificate prices of most REITs had also an unfavorable performance in the same period, with declines of between 8% and 42%. On the last day of June 2020, four REITs performed negatively with percentages greater than 30% and the REITs Index was below 19.5% compared to December 2019. Properties generating higher people concentrations (shopping malls, stadiums, theaters, concert halls and hotels) will be the most affected in this crisis and will be forced to implement innovative schemes to operate in order to generate earnings in the future. The article studies the impact of COVID-19 in the price of REITs Certificates, as the effect in the value of the REITs Index in the Mexican Stock Market. The price of the different REITs stocks and Index are compared to their price at the end of 2019 and an estimate of the future impact in the results of operations of the corresponding REITs. An analysis of the geography of COVID-19 in Mexico is performed, considering how the different sectors where the REITs properties are geographically located in order to look for a possible evidence of COVID-19 effect.

Robust UWB‐Based Localization with Application to Automated Guided Vehicles

Herein, localization framework based on ultra wide band (UWB) signaling is described. The proposed framework tackles the issues of industrial indoor localization. In particular, experiments are performed using the PulsON 410 Ranging and Communication Modules (P410 RCMs) produced by Time Domain. The considered scenario consists of an industrial warehouse with laser guided vehicles (LGVs), manual forklifts, and people. In the considered localization setup, three RCMs are placed on an LGV and an additional RCM acts as a Target Node (TN), whose position needs to be estimated. As the laser guarantees perfect knowledge of the LGV position inside the building, the three RCMs on board can be considered as Anchor Nodes (ANs) with known positions. The TN is supposed to be placed on a manual forklift or in the belt of a person inside the warehouse. Two localization algorithms that rely on the distance estimates between pairs of UWB sensors positioned on the automated guided vehicles (AGV) and the UWB sensor that acts as TN are proposed. Extensive performance results based on an experimental campaign performed in an industrial warehouse is also shown, for different TN positions around the LGV.

An integrated light management system with real-time light measurement and human perception

Illumination is important for well-being, productivity and safety across several environments, including offices, retail shops and industrial warehouses. Current techniques for setting up lighting require extensive and expert support and need to be repeated if the scene changes. Here we propose the first fully automated light management system which measures lighting in real-time, leveraging an RGBD sensor and a radiosity-based light propagation model. Thanks to the integration of light distribution and perception curves into the radiosity, we outperform a commercial software (Relux) on a newly introduced dataset. Furthermore, our proposed light management system is the first to estimate both the presence and the attention of the people in the environment, as well as their light perception. Our new light management system adapts lighting to the scene and human activity and it is capable of energy savings of up to 66%, as we experimentally quantify, without compromising the lighting quality.

Dos galpões industriais aos espaços públicos da cidade: alguns processos de configuração espacial nas artes da cena brasileira

Espaços não convencionais utilizados para a performance e o teatro têm sido cada vez mais apropriados pelos encenadores contemporâneos, principalmente em razão das qualidades espaciais com quais a dinâmica cênica atual envolve performers e participantes, em geral intitulada site-specific. Com base nas teorias de Carlson (1989, 2012), Rufford (2015) e Pearson (2001), discutem-se neste artigo ocupações de diferentes configurações espaciais, seja em galpões industriais, seja em espaços públicos ou semipúblicos da cidade que asseguram uma relação participativa entre palco e plateia e estabelecem papel relevante na fruição entre o corpo e o espaço, fora do edifício teatral.

Prediction, Planning, and Coordination of Thousand-Warehousing-Robot Networks With Motion and Communication Uncertainties

In this article, we focus on resolving the traffic flow prediction, robot path planning, and motion coordination problems in large-scale warehousing robotics systems with thousand-robot networks. The warehousing environment is partitioned into several sectors, and a hierarchical framework is developed, which includes a centralized prediction and planning level and a decentralized local coordination level. In the centralized level, a traffic flow prediction algorithm is first proposed to predict the evolution of the robot density distribution in a future horizon and estimate the future traffic heat value of each sector. Based on this, the sector-level robot path can be generated in the time-expended sector graph by comprehensively considering the traveling distance and the predicted traffic heat value and will be dynamically updated by considering the most recent traffic information. In the coordination level, local cooperative A* algorithm, incorporated with the conflict-based searching strategy, is implemented within each sector to generate conflict-free road-level paths for all the robots in the sector simultaneously, and the rolling planning scheme is utilized in order to immediately react to robot motion uncertainties and communication disconnections. The effectiveness and practical applicability of the proposed approach are validated by large-scale simulations with more than one 1000 robots and real laboratory experiments. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —Considering practical situations and requirements in industrial warehouses and automated logistics systems, this article resolves the life-long planning and coordination problems of large-scale robot networks and ensures the practical execution performance in the presence of robot motion uncertainties and temporary communication disconnections. Our main idea is to reduce robot congestions and improve warehouse working efficiency by balancing the traffic flow in the whole environment. To achieve this, we present a traffic flow prediction algorithm to estimate the robot density distribution in a future horizon and take this information into consideration in sector-level path planning. The reliability, scalability, and the real-time performance of the proposed solution are achieved by the presented hierarchical system framework and the dynamic planning scheme. The proposed concept and approach can also be used to coordinate other large-scale systems with multirobot or multi-AGV networks. Simulation and experimental results suggest that the proposed solution is effective and practically applicable, but a saturation phenomenon of the system capacity can be observed under a very heavy workload. In the future, we will investigate the relation between the maximum system capacity and the environment structure and make further efforts to optimize the environment structure and road layout in order to improve the warehouse working efficiency.

Smart energy harvesting performance of photovoltaic roof assemblies in Canadian climate

ABSTRACT In Canada, the solar electricity sector is growing rapidly. Much of this success is based on the growth of the Ontario solar market where more than 99% of Canada’s solar electricity is generated. Ontario has developed a globally recognized solar market sector. The vast surface area of existing residential roofs across Canada represents an untapped resource for capitalizing on passive and active management of impinging solar insolation. The aim of the current research study is to evaluate the new energy harvesting technologies such as a thin-film PV integrated roof system that could serve as a conventional roofing for weather protection while generating clean solar electricity, and the new generation micro inverters that have the potential to outperform string inverters under shading and snow-cover conditions. This paper has two parts that will discuss about two smart energy harvesting technologies and their performance on residential applications in Canadian climate. Part 1 of the paper focusses on field evaluation of Roof Integrated Photovoltaic (RIPV) and Part 2 talks about the energy yield performance of integrated solar tiles and new generation micro inverters. The RIPV field trial took place at the Canadian Centre for Housing Technology (CCHT) Info Centre in Ottawa, Canada. This is a novel approach adapted from a roofing system that would typically be found on low-sloped roofs such as commercial supermarkets, industrial warehouses and school buildings. Over the eight month study period, surmounting the effects of snow cover and shadows, the RIPV system generated over 1 MWh of electricity, and had a measured system efficiency of 5.3%. The study on the new generation micro inverters for residential applications addressed the shading effects on the intermittent nature of solar energy generation. Simulating the shading conditions that are experienced by typical residential rooftop, the micro inverters were found to increase production by 1–68% relative to the conventional string inverters. The research outcome of this study has demonstrated that both these energy harvesting technologies have important incremental benefits in increasing the renewables contribution to power generation in residential homes in Canadian climatic conditions.

Conflict-free dynamic route multi-AGV using dijkstra floyd-warshall hybrid algorithm with time windows

Autonomous Guided Vehicle is a mobile robot that can move autonomously on a route or lane in an indoor or outdoor environment while performing a series of tasks. Determination of the shortest route on an autonomous guided vehicle is one of the optimization problems in handling conflict-free routes that have an influence on the distribution of goods in the manufacturing industry's warehouse. Pickup and delivery processes in the distribution on AGV goods such as scheduling, shipping, and determining the route of vehicle with short mileage characteristics, is very possible to do simulations with three AGV units. There is a windows time limit on workstations that limits shipping. The problem of determining the route in this study is considered necessary as a multi-vehicle route problem with a time window. This study aims to describe the combination of algorithms written based on dynamic programming to overcome the problem of conflict-free AGV routes using time windows. The combined approach of the Dijkstra and Floyd-Warshall algorithm results in the optimization of the closest distance in overcoming conflict-free routes.

A Review on Pre-Engineered Building design of an Industrial Warehouse

A Review on Pre-Engineered Building design of an Industrial Warehouse

Design of Electric Forklift used in Small industrial Warehouses and Workshops

Design of Electric Forklift used in Small industrial Warehouses and Workshops

STRUCTURE SETTING ON COMPOSITE-BASED SOILS

The paper studies the interaction between the building construction and composite-based soil with a view to determine its elastic properties affecting the structure deformation and internal forces. The soil model is assumed to be elastic, according to the Winkler coefficient calculated from the Kolosov stress decay function. The Galerkin numerical method used in calculations utilizes basic functions corresponding to the type of fixing the discontinuous and continuous structures. Unknown coefficients in linear combinations of basic functions are obtained via linear algebra methods, solving the system of equations. The force functions of the structure are found by derivation of the deflection function. Geological parameters are accepted to be real and matching the construction conditions of a large industrial warehouse of agricultural designation in the Pskov region, Russia. The soil effect on the flexural strength, shearing forces, and bearing reaction is estimated under the discontinuous and continuous structures at the available geological soil parameters. The structure setting on composite-based soils under the operating load is predicted herein.

Reliability consideration costing method for LIFO Inventory model with Chemical Industry Warehouse

Reliability consideration costing method for LIFO Inventory model with Chemical Industry Warehouse

Rapid response and mitigation measures in control of COVID-19 cases in an industrial warehouse of Western Maharashtra, India

Introduction: From being declared as Public Health Emergency of International Concern and the transmission dynamics of COVID-19, outbreak control has been the cornerstone of combating COVID-19 cases within communities and clusters. An outbreak investigation of COVID-19 positive cases was conducted in a close community setting at an industrial warehouse which included working and residential areas in the premises, with the aim to break the chain of transmission rapidly and to formulate preventive strategy for dealing with other outbreaks in a community setting. Materials and Methods: This was a study where a rapid outbreak response was carried out after two individuals tested COVID-19 positive. Following the national and local guidelines, immediate decongestion followed by aggressive contact tracing, testing and isolating the cases were done. Results: After the rapid contact tracing exercise, contacts were identified, quarantined and tested. Daily monitoring of the contacts revealed six symptomatic confirmed cases and on testing, 19 asymptomatic contacts were positive. All confirmed cases were immediately admitted to the hospital. Additional two positive cases reported from family contacts. The mean age of the individuals was 46 years. There were 9 individuals with co-morbidities and two individuals developed acute respiratory distress syndrome and expired in the hospital. The secondary attack rate was calculated to be 17.51%. Conclusion: Prompt public health measures by rapid response team, creation of containment zone, contact tracing, early isolation along with daily influenza like illness screening and strict quarantine effectively helped in containment of the outbreak in the population under study.

Study on the Behavior of Geosynthetic-Reinforced Pile-Supported Embankments in Soft Ground Improvement Solutions

Embankments on soft ground often encounter many problems such as settlement, slip, and deformation that exceed the permitted limit. In recent years, a new type of foundation called "geosynthetic-reinforced pile-supported embankments" has been used. Until now, although the behavior of this foundation type has been analyzed and certain results have been presented in literature, calculation methods do not allow geotechnical engineers to calculate the results accurately. This study builds up a field experiment model to investigate the impacts of arching effects in the sand buffer layer on pile heads to increase the load transfer on the pile caps. The results indicate that the stress distribution on the pile cap is 10.48 times higher than the stress on the surrounding soft soil. Hence, the ground improvement method using piles and geosynthetic reinforcement can be applied to roadbeds and industrial warehouses on soft soil conditions, which helps to shorten the construction time compared to other ground treatment methods such as preloading, vacuum pumps, wick drains, etc.

Stochastic facility location problem in a competitive situation: A game theory model for emergency financial services

Facility location problems under conditions of uncertainty involve various situations, such as industrial plants, warehouses, distribution centers, and emergency services (ambulances, police cars)....

Propagation and Floral Induction of Transplant for Forcing Long-term Production of Seasonal Flowering Strawberries in Japan

In Japan, over 95% of the acreage is covered with plastic to force June-bearing (seasonal flowering, SF) strawberry cultivars to produce fruit from late fall to early summer. During the late 1960s, a forcing technique was developed that advanced flower bud initiation to late summer and prevented the transplants from becoming dormant during winter. This new forcing technique involved nitrogen starvation of nursery plants to induce floral initiation. Until about 1980, strawberry growers in Japan used runner plants produced in waiting beds, but most transplants are now produced in plastic pots under rain shelters to avoid soil-borne diseases. Recently, the use of tray plants produced from hanging runner cuttings has become popular. To induce early floral initiation, the following artificial low temperature (LT) treatments have been established: (1) “Yarei”, a combination of a short day with solar radiation and LT under darkness in cooling facilities (Yarei-ko); (2) “Kaburei”, continuous dark-LT with refrigeration facilities including industrial warehouses; and (3) “Kanketsu-reizo”, intermittent LT storage. An overview of the technologies applied to plant propagation and the control of floral initiation of Japanese SF cultivars is provided in this review.

Design and analysis of industrial warehouse using STAAD Pro

Design and analysis of industrial warehouse using STAAD Pro

Automation engineering of adaptive industrial warehouse

The modern automatic warehouse of industrial production is equipped with sensors to determine the type, size, weight, expire date of each SKU. There are also robots for moving SKUs, control algorithms, and an interface for interacting with external services. When developing such a cyber physical system, it is necessary to optimize its main parameters. In engineering, only 2-3% of the whole time is spent on the processing of parts. The substantial time is spent on interoperational storage and transportation. The productivity of the automatic warehouse determines the economic performance of the enterprise as a whole. In addition, the assortment and emergent stock of products stored in the warehouse should ensure stable work under conditions of a change in the production program. This paper is devoted to the algorithm that underlies the digital interaction of an automatic warehouse as a cyber-physical system.

Computational fluid dynamics simulations of hydrogen releases and vented deflagrations in large enclosures

This paper presents model predictions obtained with the CFD tool FLACS for hydrogen releases and vented deflagrations in containers and larger enclosures. The paper consists of two parts. The first part compares experimental results and model predictions for two test cases: experiments performed by Gexcon in 20-foot ISO containers (volume 33 m3) as part of the HySEA project and experiments conducted by SRI International and Sandia National Laboratories in a scaled warehouse geometry (volume 45.4 m3). The second part explores the use of the model system validated in the first part to accidental releases of hydrogen from forklift trucks inside a full-scale warehouse geometry (32 400 m3). The results demonstrate the importance of using realistic and reasonably accurate geometry models of the systems under consideration when performing CFD-based risk assessment studies. The discussion highlights the significant inherent uncertainty associated with quantitative risk assessments for vented hydrogen deflagrations in complex geometries. The suggestions for further work include a pragmatic approach for developing empirical correlations for pressure loads from vented hydrogen deflagrations in industrial warehouses with hydrogen-powered forklift trucks.