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Journal articles on the topic 'Warehouse management'

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1

Phan, Mai Ha, Ha Quang Thinh Ngo, Tien Trung Kieu, and Linh Y. Thai. "Redesigning Finished Product Warehouse Layout - A Case Study." Applied Mechanics and Materials 902 (September 2020): 103–13. http://dx.doi.org/10.4028/www.scientific.net/amm.902.103.

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System engineering methods are often used to design complex systems like airplanes. However, this method is also useful to propose solutions to redesign logistics systems such as warehouses and transport systems. This paper will apply system engineering in analyzing the late order problem at a pesticide company, thereby surveying stakeholders needs for warehouse re-designing. The functional analysis in the warehouse will be carried out in the concept analysis section to propose warehouse’s layout redesign alternatives that based on the demand of storage capacity and throughput. The authors also used the AHP method to select the final design layout. The detailed design section builds the operation process for the warehouse as well as the codification for commodity storage slots along with these tables forms that support for warehouse management. These solutions increase warehouse performance as well as the utilization in warehouses when applied in practice. Therefore, the system engineering method should be used in warehouse’s redesign
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Hu, Qing Ming, Dong Sheng Li, Xi Bing Li, Jian Hua Guo, and Shi Gang Wang. "Research on Storage Automation Rebuilding of Traditional Warehouse." Applied Mechanics and Materials 151 (January 2012): 544–48. http://dx.doi.org/10.4028/www.scientific.net/amm.151.544.

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A storage automation rebuilding scheme was proposed to enhance the space utilization and operational efficiency based on the analysis of the existing problem on traditional warehouse. The warehouse’s re-designing & re-planning scheme was determined, and the computer management & control system based on barcode and Radio Frequency (RP) technology was introduced with the fully utilization of traditional warehouse and original equipment. The hardware and software of the system were also expounded. Finally according to the requirement of host computer management & control system, operational control technology is integrated with information management, and the operation-oriented warehouse dynamic information management system was elaborated. The research results show that the rebuilding schemes have important theoretical and realistic significance on the improvement of changing the traditional warehouses into logistics centers.
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3

Phyllis, Chepkonga. "Determination of Performance Indicators for Warehouse Evaluation: A Case of Medium Sized Warehouses in Nakuru Town." Journal of Procurement & Supply Chain 5, no. 2 (November 11, 2021): 32–38. http://dx.doi.org/10.53819/81018102t5034.

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Evaluation of warehouse processes is required for decision making purposes and the improvement of warehouse operations. To evaluate warehouse processes, it is essential to identify key indicators in the warehouse operations. This research was intended to identify the significant indicators of warehouse performance that would support management decision making on the improvement of warehouse operations. In this research 20 indicators were identified in four warehouse activities based on Frazelle model. The most important indicators in each warehouse were then determined. The study was conducted through a descriptive design using a survey of 3 medium warehouses in Nakuru. The study employed purposive sampling to select the sample and sample elements. The sample size of 10 warehouse management officers were used in the study. Structured questionnaire was adopted as data collection instrument. The research findings indicated that most important performance indicators for receiving is productivity, for storage is space utilization, for order picking is cycle time and for shipping is productivity. Process improvement steps were proposed based on benchmarking among warehouses handling similar goods. It was noted that different types of warehouses require different indicators. The study concluded that measurement of warehouse processes is important and enables operations improvements and cost reduction. Keywords: Warehouse procedures, warehouse performance, warehouse improvement, medium sized warehouses, Nakuru town, Kenya
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Zhen, Lu, and Haolin Li. "A literature review of smart warehouse operations management." Frontiers of Engineering Management 9, no. 1 (January 12, 2022): 31–55. http://dx.doi.org/10.1007/s42524-021-0178-9.

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AbstractE-commerce, new retail, and other changes have highlighted the requirement of high efficiency and accuracy in the logistics service. As an important section in logistics and supply chain management, warehouses need to respond positively to the increasing requirement. The “smart warehouse” system, which is equipped with emerging warehousing technologies, is increasingly attracting the attention of industry and technology giants as an efficient solution for the future of warehouse development. This study provides a holistic view of operations management problems within the context of smart warehouses. We provide a framework to review smart warehouse operations management based on the characteristics of smart warehouses, including the perspectives of information interconnection, equipment automation, process integration, and environmental sustainability. A comprehensive review of relevant literature is then carried out based on the framework with four perspectives. This study could provide future research directions on smart warehouses for academia and industry practitioners.
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Jarašūnienė, Aldona, Kristina Čižiūnienė, and Audrius Čereška. "Research on Impact of IoT on Warehouse Management." Sensors 23, no. 4 (February 16, 2023): 2213. http://dx.doi.org/10.3390/s23042213.

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Automation and digitisation are the driving force of the Industrial Revolution 4.0. Industrial revolutions led to the mass production of goods, which increased the need for modern warehouses. Every year, the operation of warehouses becomes increasingly more complicated due to the increasing abundance of goods, thus the usual warehouse management strategies are no longer suitable. In order to cope with huge product flows, modern innovations should be used more extensively to manage these processes. Successful management will help provide quality service to rapidly changing business sectors. The Internet of Things (IoT) is a technology designed to process large amounts of data with maximum efficiency in real time. This technology can facilitate the implementation of smart identification, tracking, tracing, and management using radio frequency identification (RFID), infrared sensors, global positioning systems (GPS), laser scanners, and other detection tools. Such innovations as IoT have made a significant impact on warehousing operations. The aim of IoT is to perform administrative work, i.e., to efficiently manage warehouse data. IoT can be used to monitor and track goods, forecast demand trends, manage inventory, and perform other warehouse operations in real time. The key elements of a warehouse are sales and customer satisfaction. Implementing IoT improves financial performance, work productivity, and customer satisfaction. However, innovation requires additional investment in, for instance, implementation and maintenance. It is necessary to investigate how warehouse elements such as inventory accuracy or order processing time are affected by the internet of things in companies of different sizes. Research on the impact of IoT on warehouse management focuses on IoT advantages, disadvantages, mitigation risks, and the use of IoT in warehouses. The aim of this work is to research the impact of IoT on warehouse management in companies of different sizes and to determine whether the costs and benefits of IoT differ in the same scenario. As a result, the conceptual model for the adoption of IoT measures in warehouse companies was created, and its suitability was assessed by experts.
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Yang, Xiu Fang. "Key Technologies Analysis on Management System Data Warehouse." Applied Mechanics and Materials 644-650 (September 2014): 2925–28. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2925.

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In order to further analyze data warehouse’s application value in teaching management system, this paper first analyzes the disadvantages of previous teaching management system data extraction, illustrates the basic structure of data warehouse system, then discusses the establishment of three kinds of models of data warehouse, finally from the demand perspective of teaching management system, analyzes key technologies such as the design of data warehouse model of teaching management system, the upload of teaching data, data display and data warehouse interfaces.
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7

Chen, Chen, Jian Mao, and Xingwen Gan. "Design of Automated Warehouse Management System." MATEC Web of Conferences 232 (2018): 03049. http://dx.doi.org/10.1051/matecconf/201823203049.

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Aiming at the low degree of automation in production enterprises, real-time tracking and automatic access to warehouses are realized by developing warehouse management software. The paper first analyzes the system requirements, and then gives the overall design plan, through C#, MySQL and TCP. IP communication protocol, compiled a set of warehouse management system software. The actual application shows that the automation level and management efficiency of production enterprises are improved.
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8

Hassan, Mayadah, and Selwyn Piramuthu. "Review of auto-ID technology use in warehouse management." International Journal of RF Technologies 12, no. 1 (August 24, 2021): 35–51. http://dx.doi.org/10.3233/rft-210292.

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Warehouses play a significant role in the seamless distribution, integration, and storage of items as well as in supply chain operations. Automated identification (auto-ID) technologies that include barcode and RFID provide class- or item-level visibility to facilitate effective and efficient decisions in their respective environments. A warehouse environment benefits from auto-ID through improved cost savings, operational efficiency, and opportunities for higher revenues. It is therefore not surprising that both researchers and practitioners have considered the use of auto-ID in warehouses. We take stock of related literature to determine the state-of-the-art on auto-ID use in warehouse management, with specific focus on RFID, and identify potential directions of further research. Based on our review, we develop a conceptual framework that incorporates the primary factors that guide the decision to adopt auto-ID in warehouse management.
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9

Szymonik, Andrzej. "Warehouse safety." Logistics and Transport 38, no. 2 (2018): 101–12. http://dx.doi.org/10.26411/83-1734-2015-2-38-11-18.

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The article is comprised of two parts, theoretical and practical. The first part presents an analysis of warehouse operation as a subject of study. Hazards are discussed that may affect warehouse processes. Factors that determine the safety of warehouse management are characterized. In the second part, based on the results of the study carried out at 16 warehouses, selected problems concerning safety are evaluated and conclusions are presented.
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Dobrzański, Paweł, and Magdalena Dobrzańska. "Computer simulation of warehouse processes using the Enterprise Dynamics software." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 6 (June 30, 2018): 1026–29. http://dx.doi.org/10.24136/atest.2018.222.

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The dynamic development of industry and trade in recent years has forced the need to use new solutions in the field of warehouse management. The main reason for the changes being introduced is the optimization of the time of completing warehouse operations while reducing costs. This forces the reorganization of warehouses, warehouse operations and the introduction of modern equipment and devices used during the storage process. To ensure high efficiency and reduction of costs of warehouse processes, appropriate programs and simulation tools are used. The article presents the possibilities and benefits of software for modeling and simulation of processes taking place in warehouses.
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Vatumalae, Vellian, Premkumar Rajagopal, and Veera Pandiyan Kaliani Sundram. "Warehouse Management System of a Third Party Logistics Provider in Malaysia." International Journal of Economics and Finance 12, no. 9 (August 25, 2020): 73. http://dx.doi.org/10.5539/ijef.v12n9p73.

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This study aims to explore the significant benefits gained from the implementation of the Warehouse Management System in 3rd Party Logistics Service Provider. A qualitative research approach been adopted by conducting an in-depth case study in one of Halal third-party logistics (3PLs) company located in central Malaysia, offering most of the logistics services, including transportation and warehousing. Information obtained from the warehouse operations managers in understanding the overall benefit of the warehouse management system. As a result of the highly competitive in 3rd party logistics market, environment companies are continuously forced to improve their warehousing operations into a system based applications. Many 3rd party logistics companies have also customized their value proposition to meet better customer demands, which has led to changes in the role of warehouses. The findings of this study have significant implications for both academicians and the 3PLs organizations to further explore the theories, practices, and the implementation of the Warehouse Management System in the warehouse operations. The future studies may lead to an investigation of the relationship of the warehouse management system with 3PL business competitiveness among the 3PL’s organization.
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12

กิตติธีรพรชัย, โอฬาร, and นระเกณฑ์ พุ่มชูศรี. "Warehouse Management System." วารสารวิศวกรรมศาสตร์ 5, no. 2 (May 2013): 49–62. http://dx.doi.org/10.4186/ejth.2013.5.2.49.

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13

Faber, N., M. B. M. de Koster, and A. Smidts. "Organizing warehouse management." International Journal of Operations & Production Management 33, no. 9 (August 16, 2013): 1230–56. http://dx.doi.org/10.1108/ijopm-12-2011-0471.

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14

Connolly, Christine. "Warehouse management technologies." Sensor Review 28, no. 2 (March 28, 2008): 108–14. http://dx.doi.org/10.1108/02602280810856660.

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15

Apostolov, Igor Yu. "Warehouse Evolution in Contemporary Logistic Chains." Current Economic Trends 1, no. 2 (May 30, 2021): 60–80. http://dx.doi.org/10.55030/2713-0266-2021-1-2-60-80.

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This article is devoted to the issues of warehouse management in modern supply chains. The weight and role of warehouses, which in the recent past occupied a minor, and sometimes even a secondary role in logistics, are rapidly growing. The widespread use of scientific and technological progress, automation and warehouse equipment has led to the fact that the warehouse has become not just a physical storage place, but also a source of added value and a production hub.Logistics experts now agree that inventory should be kept as close to the place of consumption as possible in order to contain the growth of transport costs and meet the increasingly high requirements of consumers for the speed and quality of delivery. This has led to the development of such types of storage facilities as cross-docking and transshipment centers, fulfillment centers, sorting and consolidation points, reverse logistics centers — all in addition to their main role as warehouses of goods.The competition for the buyer, the transition from the Push sales strategy to Pull (pulling instead of pushing), JIT (Just in Time), QR (Quick Response) and others increase the responsibility of the warehouse management and employees for the quality of the warehouse operations, which means the accuracy and speed of picking, and the efficiency of the goods return processing.The development of e-commerce, the need to process a large number of orders, mostly small ones, have turned warehouses into Internet platforms with advanced automation of moving goods and equipment, primarily WMS (Warehouse management system).
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16

Abushaikha, Ismail, Loay Salhieh, and Neil Towers. "Improving distribution and business performance through lean warehousing." International Journal of Retail & Distribution Management 46, no. 8 (August 13, 2018): 780–800. http://dx.doi.org/10.1108/ijrdm-03-2018-0059.

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Purpose Recent literature recognizes the role of warehouses in enhancing the overall logistics performance. Thus, lean thinking has recently found its way in supporting warehouse and distribution centre operations. The purpose of this paper is to examine the relationships among warehouse waste reduction practices, warehouse operational performance, distribution performance and business performance. Design/methodology/approach A two-stage study was conducted. First, a Delphi technique was adopted to develop a relevant questionnaire. Second, this questionnaire was used to measure the degree of waste reduction in the different warehouse activities and to test the developed research hypotheses. The authors test the hypotheses with a sample of Middle Eastern warehouse operators. Findings There exists a positive relationship between warehouse waste reduction level and both warehouse operational performance and distribution performance. There was no direct relationship between warehouse waste reduction level and business performance. However, results revealed that the relationship between warehouse waste reduction level and business performance was mediated by warehouse operational performance and distribution performance. Practical implications The developed instrument provides a guide for logistics managers as to understand how to reduce waste in each warehousing activity. The results also inform logistics managers of how distribution performance can be improved through lean warehousing. The resulting performance improvements in the distribution operations will ultimately be reflected in the logistics performance of downstream retailers. Originality/value The study develops an original instrument for measuring waste reduction in warehouses, and provides insights into the evolving lean warehousing research area. This is the first scholarly work to uncover the relationships among warehouse waste reduction practices, warehouse operational performance, distribution performance and business performance.
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Kusrini, Elisa, Citra Indah Asmarawati, Galuh Masita Sari, Anisa Nurjanah, Alex Kisanjani, Sadiq Ardo Wibowo, and Indro Prakoso. "Warehousing performance improvement using Frazelle Model and per group benchmarking: A case study in retail warehouse in Yogyakarta and Central Java." MATEC Web of Conferences 154 (2018): 01091. http://dx.doi.org/10.1051/matecconf/201815401091.

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Warehouse performance management has an important role in improving logistic's business activities. Good warehouse management could increase profit, time delivery, quality and customer service. This study is conducted to assess performance of retail warehouses in some supermarket located in Central Java and Yogyakarta. Performance improvement is proposed base on the warehouse measurement using Frazelle model (2002), that measure on five indicators, namely Financial, Productivity, Utility, Quality and Cycle time along five business process in warehousing, i.e. Receiving, Put Away, Storage, Order picking and shipping. In order to obtain more precise performance, the indicators are weighted using Analytic Hierarchy Analysis (AHP) method. Then, warehouse performance are measured and final score is determined using SNORM method. From this study, it is found the final score of each warehouse and opportunity to improve warehouse performance using peer group benchmarking
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18

Kalіcheva, Natalia, Vitaly Abramchuk, and Eugenia Lobanova. "INFORMATION TECHNOLOGY AS A FACTOR OF ENSURING SUSTAINABLE DEVELOPMENT OF THE WAREHOUSE MANAGEMENT OF THE ENTERPRISE." Development of Management and Entrepreneurship Methods on Transport (ONMU) 81, no. 4 (2022): 15–26. http://dx.doi.org/10.31375/2226-1915-2022-4-15-26.

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The creation of a modern warehouse is a complex process that requires a systematic approach, the involvement of qualified specialists and the consideration of many factors that affect the planning of the territory, the determination of the parameters of the territory and warehouse, the construction of the facility, the selection of equipment and software, the development and implementation of storage technology, ensuring the object's vital activity. One of the most important processes in warehouse management is logistics. Although, this process is extremely complex because it requires full coordination of the inventory supply functions, as well as cargo processing and order distribution. As a result of the research, it was outlined that the new paradigm of logistics is flexibility. After all, the ability to react and adapt quickly and flexibly is of crucial importance. It was determined that the use of mobile robots, which replace stationary conveyor equipment, allows the field to quickly complete orders, to always appear on time when they are needed at a specific moment. It is noted that currently, logistics centers around the globe use various mobile platform systems. This is quite justified for the organization of warehouse work in modern conditions, because even a small fleet of unmanned vehicles allows you to better structure processes, optimize the management of material resources, and reduce costs. Localization, movement control and tracking in warehouses are new trends in the development of logistics. The algorithm of placing and moving goods in the warehouse will be formed from the choice of the method of storing goods. The technical equipment of the warehouse is important. Technical equipment is selected based on the specifics of the working conditions and conditions of storage of goods. The development of a specialized digital solution for the warehouse to order is the creation of an individual service for a certain company, taking into account the peculiarities of all business processes. As a rule, similar programs are used in distribution centers, where there is a huge list of various products and more than a thousand operations take place in one hour. The use of information technologies in the warehouse is an important step for optimizing product flows. The creation of automated warehouse systems will save on labor costs, increase productivity and reduce operating costs. An automated warehouse can also eliminate order picking errors and increase warehouse throughput. For most companies, the creation of automated warehouses is a global task that affects all company divisions at the same time.Keywords: warehouse logistics, digitalization, automation of warehouse processes, robotics, flexibility, address storage, efficiency
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Liu, Hao, Zhong Yao, Li Zeng, and Jing Luan. "An RFID and sensor technology-based warehouse center: assessment of new model on a superstore in China." Assembly Automation 39, no. 1 (February 4, 2019): 86–100. http://dx.doi.org/10.1108/aa-09-2018-0144.

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Purpose Large supermarkets, chain stores and enterprises with large-scale warehousing put forward higher standards and requirements for the automation and informatization of warehouses. As one of the fast-growing commercial supermarkets in China, the traditional warehouse management mode has restricted the rapid development of Yonghui Superstores to a certain extent. The purpose of this paper is to find out how the existing warehouse mode can be changed and to solve the existing problems of warehouse management of Yonghui Superstores. Design/methodology/approach This research puts forward construction of warehouse center, which is based on radio frequency identification (RFID) and sensor technology, then designs the model for receiving, storage, operations management, distribution and outbound to solve the existing problems of warehouse management of Yonghui Superstores. Findings What technologies should be adopted to meet storage requirements? How to monitor the storage environment in real time and improve the operation and management level of the warehouse? This study found that building a warehouse center based on RFID and sensor technology was a good solution. Research limitations/implications The Yonghui Superstores warehouse center model lacks corresponding simulation experiments, and the investment and income are difficult to estimate quantitatively. Practical implications This paper has designed and discussed the warehouse center model based on RFID and sensor technology, which provides a few references for the actual investment and construction of a warehouse center. In addition, the warehouse center model has strong generalized applicability and could be widely used in various enterprises. Social implications The warehouse center could improve the warehouse management level of Yonghui Superstores and change the traditional warehouse management mode. To some extent, it improves the enterprise flexibility of the market, which will be of great significance to improve business efficiency and enhance brand image and competitiveness. Originality/value This study takes Yonghui Superstores as a case to analyze the problems of warehousing management in detail and then designs a warehouse center based on RFID and sensor technology. The study discusses the location and distribution, software and hardware selection, benefits evaluation, significances and return on investment, which makes the warehouse center model versatile, technically feasible and economically applicable.
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Kim, Thai Young, Rommert Dekker, and Christiaan Heij. "Improving warehouse labour efficiency by intentional forecast bias." International Journal of Physical Distribution & Logistics Management 48, no. 1 (February 12, 2018): 93–110. http://dx.doi.org/10.1108/ijpdlm-10-2017-0313.

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Purpose The purpose of this paper is to show that intentional demand forecast bias can improve warehouse capacity planning and labour efficiency. It presents an empirical methodology to detect and implement forecast bias. Design/methodology/approach A forecast model integrates historical demand information and expert forecasts to support active bias management. A non-linear relationship between labour productivity and forecast bias is employed to optimise efficiency. The business analytic methods are illustrated by a case study in a consumer electronics warehouse, supplemented by a survey among 30 warehouses. Findings Results indicate that warehouse management systematically over-forecasts order sizes. The case study shows that optimal bias for picking and loading is 30-70 per cent with efficiency gains of 5-10 per cent, whereas the labour-intensive packing stage does not benefit from bias. The survey results confirm productivity effects of forecast bias. Research limitations/implications Warehouse managers can apply the methodology in their own situation if they systematically register demand forecasts, actual order sizes and labour productivity per warehouse stage. Application is illustrated for a single warehouse, and studies for alternative product categories and labour processes are of interest. Practical implications Intentional forecast bias can lead to smoother workflows in warehouses and thus result in higher labour efficiency. Required data include historical data on demand forecasts, order sizes and labour productivity. Implementation depends on labour hiring strategies and cost structures. Originality/value Operational data support evidence-based warehouse labour management. The case study validates earlier conceptual studies based on artificial data.
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Khan, Muhammad Gufran, Noor Ul Huda, and Uzair Khaleeq Uz Zaman. "Smart Warehouse Management System: Architecture, Real-Time Implementation and Prototype Design." Machines 10, no. 2 (February 18, 2022): 150. http://dx.doi.org/10.3390/machines10020150.

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The world has witnessed the digital transformation and Industry 4.0 technologies in the past decade. Nevertheless, there is still a lack of automation and digitalization in certain areas of the manufacturing industry; in particular, warehouse automation often has challenges in design and successful deployment. The effective management of the warehouse and inventory plays a pivotal role in the supply chain and production. In the literature, different architectures of Warehouse Management Systems (WMSs) and automation techniques have been proposed, but most of those have focused only on particular sections of warehouses and have lacked successful deployment. To achieve the goal of process automation, we propose an Internet-of-Things (IoT)-based architecture for real-time warehouse management by dividing the warehouse into multiple domains. Architecture viewpoints were used to present models based on the context diagram, functional view, and operational view specifically catering to the needs of the stakeholders. In addition, we present a generic IoT-based prototype system that enables efficient data collection and transmission in the proposed architecture. Finally, the developed IoT-based solution was deployed in the warehouse of a textile factory for validation testing, and the results are discussed. A comparison of the key performance parameters such as system resilience, efficiency, and latency rate showed the effectiveness of our proposed IoT-based WMS architecture.
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Muha, Robert, Sebastjan Škerlič, and Vanja Erčulj. "The Importance of Risk Management for the Introduction of Modern Warehouse Technologies." Promet - Traffic&Transportation 32, no. 3 (May 7, 2020): 321–33. http://dx.doi.org/10.7307/ptt.v32i3.3207.

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The purpose of the study is to determine whether the presence of risk management in a warehouse requires the implementation of modern warehouse technology. On the basis of the literature analysis, it was possible to determine that there is a correlation between the presence of the highest level of risk management and the use of modern warehouse technology in individual warehousing processes. For this purpose, a statistical analysis was carried out on a sample of companies operating in the Slovenian automotive industry. The results did not reveal a tangible correlation between the presence of risk management with the use of individual modern warehouse technology, the motivation for its use and errors in its use. The results of the study therefore, highlight the problems that are present in the warehousing system of the Slovenian companies in the automotive industry, which are related to substandard technological equipment in the warehouses and to the discrepancy between the level of manufacturing automation and the level of warehousing automation. The results are important for the Slovenian automotive industry in terms of the implementation of modern warehouse technology in the high-tech automotive industry.
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Reima Kutty Krishnan, Elizabeth, and Siti Norida Wahab. "A Qualitative Case Study on the Adoption of Smart Warehouse Approaches in Malaysia." E3S Web of Conferences 136 (2019): 01039. http://dx.doi.org/10.1051/e3sconf/201913601039.

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This qualitative case study explores the factors that influence the adoption of smart warehouse in Malaysia. Purposive sampling is used to carry out this research by conducting interview discussion with several respondents. Lack of warehouses in Malaysia is that adopt smart warehouse and still on manual operation. In this study, a discussion report would be done relating to the TOE framework (technological, organizational and environmental) influences in adopting smart warehousing. The types of technologies being implemented in the warehouses in Malaysia are being evaluated and further discussed on the similarity of thoughts. The findings of this research show that most respondents agree that implementing smart warehouse approaches would bring relative advantage. Warehouses in Malaysia in terms of technology implementation are still at very surface and backwards. Top management and cost are two factors that would influence organization readiness towards smart warehousing, whereas external pressure, government support and geographical location would influence the adoption of smart warehousing. This research can be used as a reference for future researches on encouraging warehouses in Malaysia to adopt smart warehouse approaches.
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Mostafa, Noha, Walaa Hamdy, and Hisham Alawady. "Impacts of Internet of Things on Supply Chains: A Framework for Warehousing." Social Sciences 8, no. 3 (March 6, 2019): 84. http://dx.doi.org/10.3390/socsci8030084.

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The emergence of new digital industrial technology, known as Industry 4.0, has a positiveimpact on the performance of the supply chain. Warehouses are a basic part of the supply chain;they are used to store products and manage the inventory level. A sound warehouse managementsystem can lead to cost reduction and also can improve customer satisfaction. Traditionalwarehouse management models have become less efficient and unsuitable for today’s increasingmarket requirements. For the past decades, information and communication technology has beenused for warehouse management. This paper presents a new approach for warehouse managementby utilizing one of the main pillars of Industry 4.0, the Internet of Things. This new technologyenables the connection of several objects through collecting real-time data and sharing them; theresulting information can then be used to support automated decision-making. The architecture ofthis application is illustrated and its potential benefits are overviewed. A framework is proposed toimplement this approach in warehousing management, which can help in providing real-timevisibility of everything in the warehouse, increasing speed and efficiency, and preventing inventoryshortage and counterfeiting. This proposal gives an effective roadmap for enterprises to improvetheir warehouses by using the Internet of Things.
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Kihel, Yousra. "Digital Transition Methodology of a Warehouse in the Concept of Sustainable Development with an Industrial Case Study." Sustainability 14, no. 22 (November 17, 2022): 15282. http://dx.doi.org/10.3390/su142215282.

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Logistics is one of the sectors that is evolving in parallel with Industry 4.0, which refers to the integration of new technologies, information, and agents, with the common goal of improving the efficiency and responsiveness of a logistics management system. The warehouse is an essential link in logistics management, a factor of competitiveness, and a link between the partners of the entire logistics chain. It has become essential to manage warehouses effectively and to allocate their resources efficiently. The digitalization of warehouses is currently one of the research topics of Logistics 4.0. This work presents a methodology of the digital transition of warehouse management, which consists of four main steps: the diagnosis of a warehouse to identify the different processes, the degree of involvement of the employees, a calculation of the degree of maturity to identify the new technology and means of data transfer, and the associated software for the collection of information and the methods of data processing. This digital transition methodology was applied to an industrial company. The results obtained allowed for the improvement of all the indicators measuring the performance of the warehouse on economic, social, and environmental levels.
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Bács, Zoltán. "Financial interrelationships of public warehousing." Acta Agraria Debreceniensis, no. 2 (September 7, 2001): 80–89. http://dx.doi.org/10.34101/actaagrar/2/3618.

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In my paper I examined the institutional and market connections warehouses use emphasising the role of financial institutions. I stressed that for the proper functioning of a warehouse the mutual trust of the economic participants is required. This presupposes a tight relationship between warehouses and banks, as banks have to accept warehouse warrants in such a manner that the credit suppliant can more readily access current assets credit.Today, we can say that the moneylender bank is strongly confident about deals involving warehouse credit. The amount of goods stored in warehouses is increasing. Warehouse deals offer better conditions to depositors, which can be explained by the fact that the creditor does not examine the management and credit standing of the depositor. Most important for them is that the goods provide enough collateral to ensure marketability, and that the warehouse storage conditions are proper. On the other hand, with the support of an interest subsidy system credit is obtainable at very auspicious conditions. To top it all off, and this is the most important aspect participants can receive access to funds unavailable to them in any other case.
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TOLIKOVA, Elena Eduardovna, Vladislav Vitalievich KOLTYSHEV, and Matvey Dmitrievich GVOZDEV. "DIRECTIONS OF DEVELOPMENT AND IMPROVEMENT OF CUSTOMS INFRASTRUCTURE: WAREHOUSE TECHNOLOGIES." Scientific Journal ECONOMIC SYSTEMS 14, no. 1 (2021): 128–40. http://dx.doi.org/10.29030/2309-2076-2021-14-1-128-140.

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The article is devoted to the actual and strategically important direction of customs administration – the development of customs infrastructure with warehouse technologies. The analysis of quantitative and qualitative characteristics of customs infrastructure objects in Russia is carried out on the example of temporary storage warehouses and the organization of warehouse management in accordance with the requirements for the arrangement of warehouses is investigated. A number of problems are highlighted, such as: uneven development of the warehouse infrastructure, the need to improve the regulatory framework. It is concluded that the rational organization of warehouse processes will lead to an effective solution of the tasks set, and the current trend of increasing traffic volumes and expanding the boundaries of the activities of foreign trade participants will become a prerequisite for the creation of a modern customs infrastructure in the regions.
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Akhtar, Pervaiz, and Christian Fischer. "Supervision environments and performance of UK dairy warehouses: a path analysis." British Food Journal 116, no. 6 (May 27, 2014): 1000–1013. http://dx.doi.org/10.1108/bfj-12-2012-0313.

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Purpose – For team leaders or supervisors (functional coordinators (FCs)) warehouses are one of the most difficult places to supervise and manage subordinate workers. FCs themselves can be supervised by their bosses in different ways, either semi-autonomously or in a traditional authoritarian manner. However, different supervision environments for FCs may affect the performance of the warehouses they work in. The purpose of this paper is to investigate the linkages between different supervision environments; FCs’ trust in and satisfaction with their bosses, warehouse service quality and company growth. Design/methodology/approach – Structural equation modelling (path analysis) is applied to a randomly drawn data sample (n=95) of dairy warehouses from the UK. Findings – The results show that semi-autonomous supervision has a strong positive impact on FCs’ trust and satisfaction and on warehouse service quality which positively affects company growth. In addition, FCs’ trust and satisfaction are found to be important antecedents of warehouse service quality and they also directly enhance company growth. In contrast, traditional supervision does not build trust nor creates satisfaction and has a negative direct impact on warehouse service quality. Research limitations/implications – While conducted based on a small sample, the study examines important performance determinants and thus enhances the understanding of how to better manage warehouses in particular in a logistically challenging industry. Originality/value – This study empirically analyses the linkages between supervision environments, warehouse service quality and company growth and thus contributes to determine a best-practice approach for modern warehouse management.
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Habsi, Jouhara Al, Ali Salim Al Kalbani, and Asad Ullah. "Identification of the Benefits of the Usage of Information Technology in Managing Warehouses in Supply Chain." Journal of Economics and Management Sciences 6, no. 1 (January 10, 2023): p1. http://dx.doi.org/10.30560/jems.v6n1p1.

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The aim of this research is to identify the most important benefits of using the Information technology in managing the warehouses. Knowing that the warehouse departments make use of the Warehouse management Systems (WMS) to manage their warehousing activities, but the system performs limited functions such as contacting the suppliers, as for the rest of operations such as knowing the amount of inventory, information regarding stock movement, knowing the arrival and departure schedules of trucks and many other functions etc., are performed by the warehousing staffs manually by using the papers in order to the record data. The study seeks to highlight the current use of IT in managing warehouse and identifying the shortcomings of WMS in managing warehouse. This paper will make use of literature review methodology, which will identify publications related to study highlighting the benefits of usage of information technology in managing the warehouse. The findings of the study will highlight the important benefits of using information technology in managing the Warehouses leading to more profits and efficiency for the organizations. The use of modern technology, such as big data in stock management improves the pace of work, if there is sufficient knowledge and skill when using these techniques.
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Wahyuni, F. D., Z. Najah, and M. I. Santoso. "Mapping of sustainable warehouse process in the agro-hub Banten using business process modelling notation." IOP Conference Series: Earth and Environmental Science 978, no. 1 (February 1, 2022): 012053. http://dx.doi.org/10.1088/1755-1315/978/1/012053.

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Abstract Study of sustainable warehousing management through modelling process bussiness in Agro-hub was needed as issue of environmentally-friendly way of warehouse management appeared. Agro-hub was distribution centre integrated with logistics, warehouses, packaging houses and digital markets. Warehouse processes include receiving, data records, packing, and inventory and logistics. This researched was aimed to designed sustainable warehouse process in the Agro-hub Banten. The modelling method was using Business Process Modelling Notation. The collecting data was done by observation, in-depth interview and documentation review. Results of this study are mapping of material acceptance process (purchasing), dara record process, and inventry and packing practices.
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Kolarovszki, Peter, and Juraj Vaculík. "Intelligent Storage System Based on Automatic Identification." Transport and Telecommunication Journal 15, no. 3 (September 1, 2014): 185–95. http://dx.doi.org/10.2478/ttj-2014-0016.

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Abstract This article describes RFID technology in conjunction with warehouse management systems. Article also deals with automatic identification and data capture technologies and each processes, which are used in warehouse management system. It describes processes from entering goods into production to identification of goods and also palletizing, storing, bin transferring and removing goods from warehouse. Article focuses on utilizing AMP middleware in WMS processes in Nowadays, the identification of goods in most warehouses is carried through barcodes. In this article we want to specify, how can be processes described above identified through RFID technology. All results are verified by measurement in our AIDC laboratory, which is located at the University of Žilina, and also in Laboratory of Automatic Identification Goods and Services located in GS1 Slovakia. The results of our research bring the new point of view and indicate the ways using of RFID technology in warehouse management system.
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Aufaure, Marie-Aude, Alfredo Cuzzocrea, Cécile Favre, Patrick Marcel, and Rokia Missaoui. "An Envisioned Approach for Modeling and Supporting User-Centric Query Activities on Data Warehouses." International Journal of Data Warehousing and Mining 9, no. 2 (April 2013): 89–109. http://dx.doi.org/10.4018/jdwm.2013040105.

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In this vision paper, the authors discuss models and techniques for integrating, processing and querying data, information and knowledge within data warehouses in a user-centric manner. The user-centric emphasis allows us to achieve a number of clear advantages with respect to classical data warehouse architectures, whose most relevant ones are the following: (i) a unified and meaningful representation of multidimensional data and knowledge patterns throughout the data warehouse layers (i.e., loading, storage, metadata, etc); (ii) advanced query mechanisms and guidance that are capable of extracting targeted information and knowledge by means of innovative information retrieval and data mining techniques. Following this main framework, the authors first outline the importance of knowledge representation and management in data warehouses, where knowledge is expressed by existing ontology or patterns discovered from data. Then, the authors propose a user-centric architecture for OLAP query processing, which is the typical applicative interface to data warehouse systems. Finally, the authors propose insights towards cooperative query answering that make use of knowledge management principles and exploit the peculiarities of data warehouses (e.g., multidimensionality, multi-resolution, and so forth).
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Li, Qi, and Xiao Hong Cheng. "Warehouse Information Intelligent Optimization System." Advanced Materials Research 791-793 (September 2013): 1597–600. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1597.

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Scientific and rational management of warehouses and warehouse information to build flexible and effective business development is an important factor. The use of modern computer technology advanced and mature, network communication technology, software development, technical and scientific analysis and design methods, modern scientific management ideas and methods of storage of organic integration into the system, to achieve in all types of enterprise management system procedures, system security electronics.
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Likhouzova, Tetiana, and Yuliia Demianova. "Robotic Warehouse Management System." International Review of Automatic Control (IREACO) 14, no. 1 (January 31, 2021): 12. http://dx.doi.org/10.15866/ireaco.v14i1.19993.

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Krishnan, BrisinB, JainV John, Kishore S, Mahantesh S, and SavitaC H. "AGRICULTURAL WAREHOUSE MANAGEMENT SYSTEM." International Journal of Advanced Research 5, no. 5 (May 31, 2017): 600–603. http://dx.doi.org/10.21474/ijar01/4151.

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36

De Koster, René B. M., Andrew L. Johnson, and Debjit Roy. "Warehouse design and management." International Journal of Production Research 55, no. 21 (September 19, 2017): 6327–30. http://dx.doi.org/10.1080/00207543.2017.1371856.

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37

Vassiliadis, Panos, Christoph Quix, Yannis Vassiliou, and Matthias Jarke. "Data warehouse process management." Information Systems 26, no. 3 (May 2001): 205–36. http://dx.doi.org/10.1016/s0306-4379(01)00018-7.

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38

Zhang, Ruifeng, Xiaoyan Zhou, Yanfeng Jin, and Jing Li. "Research on Intelligent Warehousing and Logistics Management System of Electronic Market Based on Machine Learning." Computational Intelligence and Neuroscience 2022 (March 17, 2022): 1–14. http://dx.doi.org/10.1155/2022/2076591.

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This study applies the Internet of things information-aware technology to the process of electronic market warehousing and logistics management, effectively perceives warehouse electronic product logistics information, and improves the real-time perception of electronic product logistics information and the efficiency of electronic product storage logistics management. This study first analyzes the needs of the intelligent electronic market warehouse logistics management system and then builds the IoT architecture of the intelligent warehouse logistics assembly logistics management system for electronic warehouses based on machine learning algorithms, which solves the problems that exist in the current workshop electronic market warehouse logistics management. Then, the principle of RFID technology is introduced. The accuracy of RFID tag estimation is analyzed by the PEPC tag estimation algorithm. It is concluded that the PEPC tag estimation algorithm reduces the tag estimation error and improves the accuracy of tag estimation. Finally, an intelligent warehousing logistics management system based on IoT RFID technology is established. The test results show that the system can meet the requirements of intelligent warehousing function in the electronic market, which will greatly improve the warehousing efficiency of electronic products.
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Tang, Yuk-Ming, George To Sum Ho, Yui-Yip Lau, and Shuk-Ying Tsui. "Integrated Smart Warehouse and Manufacturing Management with Demand Forecasting in Small-Scale Cyclical Industries." Machines 10, no. 6 (June 14, 2022): 472. http://dx.doi.org/10.3390/machines10060472.

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In the context of the global economic slowdown, demand forecasting, and inventory and production management have long been important topics to the industries. With the support of smart warehouses, big data analytics, and optimization algorithms, enterprises can achieve economies of scale, and balance supply and demand. Smart warehouse and manufacturing management is considered the culmination of recently advanced technologies. It is important to enhance the scalability and extendibility of the industry. Despite many researchers having developed frameworks for smart warehouse and manufacturing management for various fields, most of these models are mainly focused on the logistics of the product and are not generalized to tackle the specific manufacturing problem facing in the cyclical industry. Indeed, the cyclical industry has a key problem: the big risk which high sensitivity poses to the business cycle and economic recession, which is difficult to foresee. Despite many inventory optimization approaches being proposed to optimize the inventory level in the warehouse and facilitate production management, the demand forecasting technique is seldom focused on the cyclic industry. On the other hand, management approaches are usually based on the complex logistics process instead of integrating the inventory level of the stock, which is very crucial to composing smart warehouses and manufacturing. This research study proposed a digital twin framework by integrating the smart warehouse and manufacturing with the roulette genetic algorithm for demand forecasting in the cyclical industry. We also demonstrate how this algorithm is practically implemented for forecasting the demand, sustaining manufacturing optimization, and achieving inventory optimization. We adopted a small-scale textile company case study to demonstrate the proposed digital framework in the warehouse and demonstrate the results of demand forecasting and inventory optimization. Various scenarios were conducted to simulate the results for the digital twin. The proposed digital twin framework and results help manufacturers and logistics companies to improve inventory management. This study has important theoretical and practical significance for the management of the cyclical industry.
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Plonskiy, Vladimir Yurievich, and Tamara Balabekovna Chistyakova. "SYSTEM OF DYNAMIC REDISTRIBUTION OF WAREHOUSE RESOURCES OF INDUSTRIAL ENTERPRISE." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2020, no. 4 (October 31, 2020): 18–28. http://dx.doi.org/10.24143/2072-9502-2020-4-18-28.

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The article addresses the problem of redistribution of warehouse resources when working in a virtual organization or when changing the logistics structure of the enterprise. A two-stage model of providing warehouse resources to a common access to participants of a virtual en-terprise is considered. An automated system for managing redistribution of resources for the stage of disconnecting from a virtual enterprise or when closing your own warehouses was developed. A description of the control object - a distributed warehouse system of an industrial enterprise specializing in the production of sheet metal. A formalized description of the technological process for the production of cold-rolled steel, including the stages of stockpiling, has been developed. The task of managing the distribution of resources is posed, the functional structure of the software complex is designed. Information, mathematical and algorithmic support for solving the problem of redistributing resources is presented. The architecture of information support includes a database containing regulatory and reference information and document management of the enterprise. The database information is used by the algorithmic support of four functional modules: management of normative and reference information, management of receipts and sales, management of warehouse movements, management of multi-turn packaging. The result of the work is presented by the system of dynamic redistribution of warehouse resources and implemented on the 1C: Enterprise platform, which allows solving the problems of the operational movement of material resources between the enterprise’s warehouses, also under the conditions of the virtual enterprise functioning. Absolute and relative distribution criteria are formed. The first group includes absolute criteria: volume, quantity, amount, weight. The second group consists of relative distribution criteria: quantity/volume, amount/volume, weight/volume. Testing the system using the example of criteria from each group showed the operability of all types of support using the example of a warehouse complex of an enterprise manufacturing metal rolling. Flexible customizable system structure allows you to expand the application of the proposed algorithmic support to other types of resources.
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Shevchenko, Alisa, Iryna Lysenko, Oksana Hulchak, and Yevheniia Shapenko. "An analysis of the feasibility of introducing «smart» systems in warehouses." Dorogi i mosti 2021, no. 23 (March 25, 2021): 197–204. http://dx.doi.org/10.36100/dorogimosti2021.23.197.

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Introduction.This article discusses the essence of compositions. The concept of automated management system of material and information flows is described. The main components of «smart» composition are identified. Its technological and technical aspects are analyzed. The advantages of the introduction of «smart» warehouse systems in the field of warehousing logistics are investigated.Problem Statement. Every year in Ukraine more than 30 million tons of goods are sold, and if we take into account that on the way the goods undergo up to 15–20 transshipments ― this figure exceeds 300 million tons. The range of goods sold in the service sector reaches 400 thousand items, and taking into account the types and varieties ― more than 1 million. This huge mass of goods before entering the trading floor is accepted, unloaded, assembled, prepared for sale, and so on. Execution of these logistic operations, improvement of all logistic process is impossible without existence of the corresponding warehouse network. To date, warehousing can not remain in this state, it has exhausted the reserves of improving the efficiency of its work. It is necessary to solve the problem of further development of warehousing at a qualitatively new level of organization and technical equipment.Purpose.Analyze the feasibility of implementing systems of smart warehouses to improve the efficiency of the logistics system.Materials and Methods.Much attention is paid to the question of the effective functioning of warehouses by domestic and foreign scientists such as Stoke J. R., Lambert D. M., Oklander M. A., Krykavsky E. V., Nikolaychuk P. V. and others. The lack of research in the field of implementation of smart warehouses and the need to determine the impact of new factors on the logistics process in the warehouse determines the relevance of the article.Results.After analyzing the technological and technical aspects used in «smart» warehouses, their characteristics were given, the advantages and disadvantages were indicated. Active development of information systems, new communications allow to change conditions of interaction of the enterprise with consumers. The modern warehouse complex, which has advanced technologies, allows to solve many problems related to the circulation of inventory.Conclusions. Properly organized warehouse allows you to optimize the costs of the logistics system, and the processes associated with the operation of warehouses, ultimately a significant component of total costs. Therefore, the introduction of a system of «reasonable» composition is appropriate.Keywords:warehouse, smart warehouse, logistics, warehouse management system, internet of things, information service, pick-to-light system, stock.
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42

Qashlim, Akhmad, and Basri B. "Integration of Information System Based on Supply Chain Management (SCM) for Pharmaceutical Warehouse in Mamasa Regency." ComTech: Computer, Mathematics and Engineering Applications 9, no. 1 (June 30, 2018): 1. http://dx.doi.org/10.21512/comtech.v9i1.4027.

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This research applied information system by using Supply Chain Management (SCM) in the pharmaceutical warehouse in Mamasa Regency. The scope of the research was maximized on pharmaceutical warehouse operations and drug distribution to clinics. This research did not focus on cost, profit, lead time, and procurement costs. This system was built using PHP programming language and MySQL database. System development process used waterfall method. It consisted of requirement analysis, system analysis, design, development, and testing. The test system used the xampp 6.2 servers with a black box testing method that involved the pharmaceutical warehouse staff as the end user. The results demonstrate technologies that can be used by physicians to submit drug requests faster and report on real-time drug use (LPLPO). For pharmaceutical warehouses, this system is useful for drug availability, drug management, and response information. This technology can help the health department to perform its role as a supervisory or controlling function (internal controls) of the drugs. This research also gives a recommendation for the pharmaceutical warehouse management in providing benefits for the institutions/companies involved. This research has an insight for the management to realize the importance of Information Technology (IT) to support daily operational activities.
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43

Manoharan, Shrinath, Denise Stilling, Golam Kabir, and Sudipa Sarker. "Implementation of Linear Programming and Decision-Making Model for the Improvement of Warehouse Utilization." Applied System Innovation 5, no. 2 (March 2, 2022): 33. http://dx.doi.org/10.3390/asi5020033.

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Warehouses are used to store raw materials, finished goods, defective products, tools, machinery, and other company assets until needed. In addition, the warehouse is a staging area for the storage and packaging of products delivered to the customer for consumer industries. Ideally, storage time, storage space, and delivery lead times are minimized by improving warehouse management. This study implements an integration of linear programming (LP) and decision-making models. The LP model provides decision-makers with the optimum quantity of products that can be stored in the warehouse based on different case scenarios considered in this study. Furthermore, the criteria affecting the space utilization of warehouses at total capacity are identified. An integrated approach of rough analytical hierarchical process (AHP) and rough technique for order preference by similarity to ideal solution (TOPSIS) is utilized to determine the best pallet placement on the respective rack. Additionally, this technique identifies the storage racks that require improvements in warehouse space utilization for the products. This methodological approach will help many industries and logistics teams make optimal decisions and improve productivity.
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44

CHUNG, KUN-JEN, and TIEN-SHOU HUANG. "THE OPTIMAL CYCLE TIME FOR DETERIORATING ITEMS WITH LIMITED STORAGE CAPACITY UNDER PERMISSIBLE DELAY IN PAYMENTS." Asia-Pacific Journal of Operational Research 23, no. 03 (September 2006): 347–70. http://dx.doi.org/10.1142/s0217595906000814.

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Inventory models with deteriorating items have received considerable attention in recent years. In considering the deteriorating inventory with permissible delay in payments, most researchers pay attention to a single warehouse. Under conditions of permissible delay in payments, this paper develops a model to determine the optimal cycle time for a single deteriorating item that is stored in two different warehouses. A rented warehouse (RW) is used to store the excess units over the fixed capacity W of the owned warehouse (OW). The rented warehouse is assumed to charge higher unit holding cost than the OW. In this paper, we propose a two-warehouse inventory model for deteriorating items under permissible delay in payments. It is assumed that the deterioration rate in RW is the same as in OW, and the holding cost in RW is greater than that in OW. The stocks of RW are transported to OW in continuous release pattern and the transportation cost is ignored. Three theorems are developed to determine the optimal cycle time and numerical examples are given to illustrate these theorems.
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45

Uchirova, M. Yu, and A. N. Larina. "Development of the conceptual and terminological apparatus of warehousing logistics in the works of Russian and foreign authors." Vestnik Universiteta, no. 5 (July 1, 2022): 115–25. http://dx.doi.org/10.26425/1816-4277-2022-5-115-125.

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The main approaches to the basic concepts of warehousing logistics in the works of russian and foreign authors are considered. the peculiarities of understanding the terms “warehouse”, “warehousing”, “warehousing system” are revealed. the main historical stages of the development of warehouses and storage facilities are reflected. based on the information provided, the following key features are highlighted: the warehouse is a complex system with its own interconnections and internal processes; a modern warehouse economy should be formed according to an optimized logistics system, of which it is a part, and be able to adapt to the slightest fluctuations and changes in this system; difficulties arising in the field of building a warehousing system can be solved with the help of a competently and clearly developed warehouse model based on the application of a logistics approach and the development of an adaptive warehouse management algorithm.
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46

Meilani, Difana, and Miftahuddin Miftahuddin. "Perancangan Sistem Informasi Manajemen Persediaan (Studi Kasus : PDAM Tirta Sakti Kabupaten Kerinci)." Jurnal Optimasi Sistem Industri 10, no. 2 (May 4, 2017): 173–86. http://dx.doi.org/10.25077/josi.v10.n2.p173-186.2011.

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Inventory is a very important thing for a company due to the inventory production process can proceed smoothly without having to worry about a shortage of goods or materials used for production activities or operations. But if too much inventory, it will cause harm to the company because the company has issued a number of costs for treatment of the goods. In addition, the company's funds will be allocated to carry too much inventory purchases. Based on research that has been done, there are some problems faced by the Regional Water Company (PDAM) Tirta Sakti related to inventory management. The problem is the difficulty of PDAM Tirta Way office in determining whether certain types of goods are still available at eight branches or warehouses. This could be due to the unclear recording of goods in and out of the barn. In addition, other problems are frequent delays in the procurement process that resulted in running out of stock of goods in a warehouse in central and branch warehouses. This has happen because there is no clear safety stock that can be used as a basis when to re-order goods. The absence of a good coding system of goods also causes problems. This is due to the items contained in the warehouse is well organized neatly so many different kinds of goods are mixed with each other. As a result, the warehouse had difficulty in determining whether the item is still available in the warehouse or not. Therefore, inventory management information system design is to overcome the above problems. Inventory management information system design is done so that there is no shortage of goods in warehouse contained due to the existence of information system design is the central part can find out directly the number of stocks contained in each warehouse, when the goods are to be ordered, and how many number items to be ordered so that the ordering of goods can be directly carried out without waiting for the demand for goods by the branch warehouses. In addition, the information system is also equipped with a coding system so that goods are goods in the warehouse can be grouped according to the criteria, type and size specified.Keywords: information system, inventory, safety stock, reorder Point
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47

K.V.S. Sarma and Prasuna. E. "An Economic Order Quantity Model With n-Levels of Storage." International Journal of Inventory Control and Management 02, no. 01 (2012): 127–41. http://dx.doi.org/10.58517/ijicm.2012.2102.

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This paper deals with a mathematical model to determine the Economic Order Quantity (EOQ) of a single item inventory system, when the Own Warehouse (OW) of the management has insufficient space. If the received stock Q exceeds the capacity of the OW, the management considers storing the stock in n Rented Warehouses each with finite capacity. Each Rented Warehouse (RW) is assumed to carry a higher holding cost than that of the OW. Considering all the n warehouses as n-storage points for the single item inventory, a two-phase mathematical model is developed to determine the EOQ. The principle of Shortest Processing Time (SPT) sequencing has been used in the first phase to find the optimal depletion sequence for the warehouses. The second phase deals with the building of cost function for the inventory cycle. The EOQ is determined and the functioning of the model is numerically illustrated.
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48

Chalotra, Dr Vipul. "Warehouse Management Information System: A New Perspective in Supply Chain Management." Indian Journal of Applied Research 1, no. 9 (October 1, 2011): 29–30. http://dx.doi.org/10.15373/2249555x/jun2012/12.

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49

Li, Chao Lin, and Hui Shi. "The Application and Research of Warehouse Information Intelligent Management Based on Cloud Computing." Applied Mechanics and Materials 380-384 (August 2013): 4823–26. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.4823.

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With the advancement of intelligent management of modern society, all involves mass data controll, implementation and operation for various types of intelligent management system. Cloud computing makes it possible to deal with these mass data operation , as well as turn the application of cloud computing into intelligent information management in warehouse managemet information system. In this paper, through the detailed analysis of the structure of the warehouse management information system of the functional requirements, taking advantage of the organic combination of different information technology of cloud computing and four function modules, so that the warehouse information management operates and develops more intelligent and effective, opening up new ways to achieve the intelligent management of warehouse information.
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Shaikh, Abu Huzaifa, and Hatim Poonawala. "Warehouse Automation." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (July 31, 2022): 1653–56. http://dx.doi.org/10.22214/ijraset.2022.45539.

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Abstract: This paper examines Warehouse Automations using RFID practices and their effects on operations. This study analyses the relationship between adoption of WMS to its impacts on business performance and competitive advantage of a regional distribution centre. In terms of business performance, the focus is placed on various competitive cores of distribution centre. WMS was found has a positive impact on companies' performance on operations management measures. To adopt the MIS, wireless barcode embedded WMS in specific, it is necessary to have corporate culture that supports complex operational activities. WMS implementation is crucial in bringing cost reduction in operational level, effective management in management level, as well as improvement of the company's competitiveness in strategic level. Companies that manage warehousing of their products are expected to implement WMS in order to maintain their competitive edge in the global market place.
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