Journal articles on the topic 'Warehouses Design'
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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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Di Tria, Francesco, Ezio Lefons, and Filippo Tangorra. "A Framework for Evaluating Design Methodologies for Big Data Warehouses." International Journal of Data Warehousing and Mining 14, no. 1 (January 2018): 15–39. http://dx.doi.org/10.4018/ijdwm.2018010102.
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This article describes how the evaluation of modern data warehouses considers new solutions adopted for facing the radical changes caused by the necessity of reducing the storage volume, while increasing the velocity in multidimensional design and data elaboration, even in presence of unstructured data that are useful for providing qualitative information. The aim is to set up a framework for the evaluation of the physical and methodological characteristics of a data warehouse, realized by considering the factors that affect the data warehouse's lifecycle when taking into account the Big Data issues (Volume, Velocity, Variety, Value, and Veracity). The contribution is the definition of a set of criteria for classifying Big Data Warehouses on the basis of their methodological characteristics. Based on these criteria, the authors defined a set of metrics for measuring the quality of Big Data Warehouses in reference to the design specifications. They show through a case study how the proposed metrics are able to check the eligibility of methodologies falling in different classes in the Big Data context.
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Mankour, Ikram, and Khadidja Yachba. "Comparative Study for Facilities Location Problem in Supply Chain Design." International Journal of Swarm Intelligence Research 13, no. 1 (January 1, 2022): 1–16. http://dx.doi.org/10.4018/ijsir.304718.
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The interest in supply chains has increased in the last few years. The supply chain optimization aims to reduce the delays and costs generated between suppliers and customers. The researchers focus primarily on the supply chain design to transport products to clients. This paper attempts to find an optimal warehouse location using a metaheuristic method. The goal is to select the optimum warehouse location. FLP-GA (Facility Location Problem - Genetic Algorithms) is the proposed approach based on genetic algorithms that reduce the number of warehouses to be opened, the overall costs, and the distances between them from a set of customers and candidate warehouses. The authors compared the approach with three other methods. This approach can select a reduced number of warehouses with minimal cost.
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Kato, Takumi, and Ryota Kamoshida. "Multi-Agent Simulation Environment for Logistics Warehouse Design Based on Self-Contained Agents." Applied Sciences 10, no. 21 (October 27, 2020): 7552. http://dx.doi.org/10.3390/app10217552.
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We propose a multi-agent simulation environment for logistics warehouses. Simulation is a crucial part of designing industrial systems, such as logistics warehouses. A warehouse is a multi-agent system (MAS) that consists of various autonomous subsystems with robots, material-handling equipment, and human workers. It is generally difficult to analyze the performance of a MAS thus, it is important to model a warehouse and conduct simulations to design and evaluate the possible system configurations. However, the cost of modeling warehouses and modifying the models is high because there are various components and interactions compared to conventional multi-agent simulations. We proposed a self-contained agent architecture and message architecture of a multi-agent simulation environment for logistics warehouses to reduce the simulation-model development and modification costs. We quantitatively evaluated our environment in terms of development costs by comparing such costs of our environment and a widely used multi-agent simulation environment.
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Bimonte, Sandro, Omar Boussaid, Michel Schneider, and Fabien Ruelle. "Design and Implementation of Active Stream Data Warehouses." International Journal of Data Warehousing and Mining 15, no. 2 (April 2019): 1–21. http://dx.doi.org/10.4018/ijdwm.2019040101.
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In the era of Big Data, more and more stream data is available. In the same way, Decision Support Systems (DSS) tools, such as data warehouses and alert systems, become more and more sophisticated, and conceptual modeling tools are consequently mandatory for successfully DSS projects. Formalisms such as UML and ER have been widely used in the context of classical information and data warehouse systems, but they have not been investigated yet for stream data warehouses to deal with alert systems. Therefore, in this article, the authors introduce the notion of Active Stream Data Warehouse (ASDW) and this article proposes a UML profile for designing Active Stream Data Warehouses. Indeed, this article extends the ICSOLAP profile to take into account continuous and window OLAP queries. Moreover, this article studies the duality of the stream and OLAP decision-making process and the authors propose a set of ECA rules to automatically trigger OLAP operators. The UML profile is implemented in a new OLAP architecture, and it is validated using an environmental case study concerning the wind monitoring.
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Suhanov, Valeriy, and Oleg Lankin. "Logical design of information support for distributed information systems of critical application." Modeling of systems and processes 14, no. 2 (July 26, 2021): 67–73. http://dx.doi.org/10.12737/2219-0767-2021-14-2-67-73.
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The article deals with new information technologies for building a data warehouse in a distributed information system of critical application. The existing principles of creating data warehouses, as well as the outlined ways to improve them, are always associated with the collection, storage and use of information that is recorded at a certain point in time, while they store data corresponding to the last time count. This approach to the development and application of data warehouses can be called static, since it does not store or display the behavior of objects at past points in time. However, the objects that are included in the data warehouse have pronounced dynamic properties and therefore must be displayed dynamically. The way out of this situation is the creation of analytical data warehouses, which will provide an opportunity to more effectively solve traditional and qualitatively new tasks in the system under consideration.
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Da Cunha Reis, Augusto, Cristina Gomes de Souza, Nayara Nogueira da Costa, Gustavo Henrique Cordeiro Stender, Pedro Senna Vieira, and Nélio Domingues Pizzolato. "Warehouse design: a systematic literature review." Brazilian Journal of Operations & Production Management 14, no. 4 (December 8, 2017): 542. http://dx.doi.org/10.14488/bjopm.2017.v14.n4.a10.
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Abstract: This study proposes improving the understanding of the main aspects involved in the design of warehouses by the construction of a framework that reveals the state-of-art. The initial research bibliography generated a framework, which was structured in three dimensions: inputs; design and implementation; and outputs. The validation of framework was accomplished through a systematic review of the literature, covering 68 articles published in the period 1999- 2015. This study covered the main aspects highlighted in the academic literature that influence the design of warehouses. Additionally, an overview of the publications based on a theoretical/empirical and a quantitative/qualitative approach was pointed out. This paper aims to contribute to both industry and academic. On the one hand, the framework aggregates value for professionals by permitting the rapid identification of variables, which must be considered in warehouse design. On the other hand, by systematizing the warehouse design area, researchers are able to identify gaps that may generate future studies.
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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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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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van Geest, Maarten, Bedir Tekinerdogan, and Cagatay Catal. "Smart Warehouses: Rationale, Challenges and Solution Directions." Applied Sciences 12, no. 1 (December 27, 2021): 219. http://dx.doi.org/10.3390/app12010219.
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Smart warehouses aim to increase the overall service quality, productivity, and efficiency of the warehouse while minimizing costs and failures. In recent years, several studies have proposed and discussed different types of smart warehouses, identified key challenges, and proposed several solution directions for coping with these challenges. The objective of this article is to identify, evaluate, and synthesize the relevant studies discussing the design of smart warehouses and the transition to these new types of warehouses. We applied a systematic literature review (SLR) protocol to select primary studies. The SLR resulted in the identification of the domains in which smart warehouses are applied, key motivations for adopting smart warehouses, current distinctive characteristics of smart warehouses, currently adopted technologies for realizing smart warehouses, and challenges and strategies for transitioning to smart warehouses. To the best of our knowledge, no SLR paper has been published yet on smart warehouses, and therefore, this is timely research as organizations are nowadays transitioning to smart warehouses.
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Krneta, Dragoljub, Vladan Jovanovic, and Zoran Marjanovic. "A direct approach to physical Data Vault design." Computer Science and Information Systems 11, no. 2 (2014): 569–99. http://dx.doi.org/10.2298/csis130523034k.
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The paper presents a novel agile approach to large scale design of enterprise data warehouses based on a Data Vault model. An original, simple and direct algorithm is defined for the incremental design of physical Data Vault type enterprise data warehouses, using source data meta-model and rules, and used in developing a prototype case tool for Data Vault design. This approach solves primary requirements for a system of record, that is, preservation of all source information, and fully addresses flexibility and scalability expectations. Our approach benefits from Data Vault dependencies minimizations and rapid loads opportunities enabling greatly simplified ETL transformations in a way not possible with traditional (i.e. non data vault based) data warehouse designs. The approach is illustrated using a realistic example from the healthcare domain.
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Islam, Md Rakibul, Syed Mithun Ali, Amir Mohammad Fathollahi-Fard, and Golam Kabir. "A novel particle swarm optimization-based grey model for the prediction of warehouse performance." Journal of Computational Design and Engineering 8, no. 2 (February 24, 2021): 705–27. http://dx.doi.org/10.1093/jcde/qwab009.
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Abstract Warehouses constitute a key component of supply chain networks. An improvement to the operational efficiency and the productivity of warehouses is crucial for supply chain practitioners and industrial managers. Overall warehouse efficiency largely depends on synergic performance. The managers preemptively estimate the overall warehouse performance (OWP), which requires an accurate prediction of a warehouse’s key performance indicators (KPIs). This research aims to predict the KPIs of a ready-made garment (RMG) warehouse in Bangladesh with a low forecasting error in order to precisely measure OWP. Incorporating advice from experts, conducting a literature review, and accepting the limitations of data availability, this study identifies 13 KPIs. The traditional grey method (GM)—the GM (1, 1) model—is established to estimate the grey data with limited historical information but not absolute. To reduce the limitations of GM (1, 1), this paper introduces a novel particle swarm optimization (PSO)-based grey model—PSOGM (1, 1)—to predict the warehouse’s KPIs with less forecasting error. This study also uses the genetic algorithm (GA)-based grey model—GAGM (1, 1)—the discrete grey model—DGM (1, 1)—to assess the performance of the proposed model in terms of the mean absolute percentage error and other assessment metrics. The proposed model outperforms the existing grey models in projecting OWP through the forecasting of KPIs over a 5-month period. To find out the optimal parameters of the PSO and GA algorithms before combining them with the grey model, this study adopts the Taguchi design method. Finally, this study aims to help warehouse professionals make quick OWP estimations in advance to take control measures regarding warehouse productivity and efficiency.
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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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Selmoune, Nazih, and Zaia Alimazighi. "A New Multidimensional Design Method Based on Meta Model Assistance." International Journal of Knowledge-Based Organizations 7, no. 1 (January 2017): 1–18. http://dx.doi.org/10.4018/ijkbo.2017010101.
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Data warehouses have become over the last two decades an essential element in the area of economic intelligence. Although the basic concepts related to this technology are now more standardized (multidimensional model, OLAP technology...), the design method issue remains in discussion, since no proposed method does seem attractive enough to be used rigorously in the real case studies. Indeed, most of the 'Data Warehouse projects' simply follow some design guidelines from the most informal methods. In this paper the authors propose an approach based on the use of the sources metadata to provide help in the multidimensional design. Their approach falls into the category of supply-driven methods, and attempts to cover the various stages of the lifecycle of data warehouses design. The proposed method is associated with a MultiDimensional Design Assistance environment (M2DA) to support the automatic and semi-automatic steps, providing the expected forms of assistance, and managing the interaction with the designer.
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Bortolini, Marco, Francesco Gabriele Galizia, Mauro Gamberi, and Francesco Gualano. "Integration of single and dual command operations in non-traditional warehouse design." International Journal of Advanced Manufacturing Technology 111, no. 9-10 (October 28, 2020): 2461–73. http://dx.doi.org/10.1007/s00170-020-06235-4.
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Abstract Non-traditional warehouses rise as effective solutions to shorten the travelled distances to store and retrieve unit loads, adding aisles crossing the parallel racks. Multiple warehouse configurations are proposed by the literature discussing the enhancements toward standard layouts. In previous contributions, the authors introduced the diagonal cross-aisle model, concluding about its positive impact on the handling performances under single command operations. This paper extends the previous works, integrating dual command operations, through an original analytic model supporting the design of non-traditional warehouses with a couple of symmetric straight diagonal cross-aisles and random storage assignment strategy. The closed-form expressions to compute the expected cycle travel distances are provided, optimising the aisle position. An industrial case study applies the model, getting distance savings ranging from 11 to 17%, compared to standard layout and further considering the loss of storage space due to the presence of the additional aisles.
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Wu, L., L. Miller, and S. Nilakanta. "Design of data warehouses using metadata." Information and Software Technology 43, no. 2 (February 2001): 109–19. http://dx.doi.org/10.1016/s0950-5849(00)00143-9.
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Darajatun, R. A., and Sukanta. "Warehouses information system design and development." IOP Conference Series: Materials Science and Engineering 277 (December 2017): 012002. http://dx.doi.org/10.1088/1757-899x/277/1/012002.
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Jarke, M., C. Quix, D. Calvanese, M. Lenzerini, E. Franconi, S. Ligoudistianos, P. Vassiliadis, and Y. Vassiliou. "Concept based design of data warehouses." ACM SIGMOD Record 29, no. 2 (June 2000): 591. http://dx.doi.org/10.1145/335191.336570.
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Pinet, François, and Michel Schneider. "Precise design of environmental data warehouses." Operational Research 10, no. 3 (November 5, 2009): 349–69. http://dx.doi.org/10.1007/s12351-009-0069-z.
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Sharipov, S. Y., A. Sh Azizov, and Z. K. Vakkasov. "Storage of apples in different methods in the valley region of Uzbekistan." IOP Conference Series: Earth and Environmental Science 1068, no. 1 (July 1, 2022): 012029. http://dx.doi.org/10.1088/1755-1315/1068/1/012029.
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Abstract Apple, which is rich in various vitamins and trace elements, plays important role is in daily diet of mankind. Noteworthy, daily consumption of apple helps people to get rid of anemia, which stated in the famous the Laws of Medicine by Avitsenna. The objective of the research is to study and analyze current state of cultivation of apples around the world as well as the country, the types and importance of nutrients, and efficiency of different storage options. During the experiments, Renet Simirenko, Golden delishes and Boyken varieties, which are local varieties for this province, have been studied in refrigerated, ordinary natural warehouses, as well as in simple natural warehouses with ventilation technology. According to the results, the main identified factors influencing the quality of apples during storage, were the temperature of the synthesis of ethylene hormone storage chamber, relative humidity, improved ventilation rate, the dependence of its design parameters on the design of a simple natural warehouse and products stored in refrigerated and ordinary natural warehouses.
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Arif Hernawan, Muhammad, Siska Amonalisa, Johanes Kurniawan Liauw, and Indra Kurniawan. "DESIGN OF ITEM LAYOUT WITH SHARE STORAGE METHOD AT PT. SISTAMA PARTNER." Journal of Economics, Management, Entrepreneurship, and Business (JEMEB) 2, no. 1 (May 30, 2022): 21–31. http://dx.doi.org/10.52909/jemeb.v2i1.101.
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Warehouses are used to store company-owned goods, both raw materials and finished goods. Good warehouse conditions can help carry out all activities in the company. According to. Therefore, design patterns and warehouse layouts are very important to simplify and increase company productivity. The use of storage methods and warehouse management systems that have less effect on the operations and smooth running of the goods. so that all operational activities run smoothly. The use of the correct storage method can also maximize the existing warehouse capacity. With warehouse conditions that are not well organized, it also has an impact on the less than optimal order processing because the location of the goods is not organized and orderly. The application of this method is a shared storage method because by applying this method the distance of taking ordered goods is faster. That way you can increase the total order that can be completed
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GOLFARELLI, MATTEO, DARIO MAIO, and STEFANO RIZZI. "THE DIMENSIONAL FACT MODEL: A CONCEPTUAL MODEL FOR DATA WAREHOUSES." International Journal of Cooperative Information Systems 07, no. 02n03 (June 1998): 215–47. http://dx.doi.org/10.1142/s0218843098000118.
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Data warehousing systems enable enterprise managers to acquire and integrate information from heterogeneous sources and to query very large databases efficiently. Building a data warehouse requires adopting design and implementation techniques completely different from those underlying operational information systems. Though most scientific literature on the design of data warehouses concerns their logical and physical models, an accurate conceptual design is the necessary foundations for building a DW which is well-documented and fully satisfies requirements. In this paper we formalize a graphical conceptual model for data warehouses, called Dimensional Fact model, and propose a semi-automated methodology to build it from the pre-existing (conceptual or logical) schemes describing the enterprise relational database. The representation of reality built using our conceptual model consists of a set of fact schemes whose basic elements are facts, measures, attributes, dimensions and hierarchies; other features which may be represented on fact schemes are the additivity of fact attributes along dimensions, the optionality of dimension attributes and the existence of non-dimension attributes. Compatible fact schemes may be overlapped in order to relate and compare data for drill-across queries. Fact schemes should be integrated with information of the conjectured workload, to be used as the input of logical and physical design phases; to this end, we propose a simple language to denote data warehouse queries in terms of sets of fact instances.
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M Kirmani, Mudasir. "Dimensional Modeling Using Star Schema for Data Warehouse Creation." Oriental journal of computer science and technology 10, no. 04 (October 13, 2017): 745–54. http://dx.doi.org/10.13005/ojcst/10.04.07.
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Data Warehouse design requires a radical rebuilding of tremendous measures of information, frequently of questionable or conflicting quality, drawn from various heterogeneous sources. Data Warehouse configuration assimilates business learning and innovation know-how. The outline of theData Warehouse requires a profound comprehension of the business forms in detail. The principle point of this exploration paper is to contemplate and investigate the transformation model to change over the E-R outlines to Star Schema for developing Data Warehouses. The Dimensional modelling is a logical design technique used for data warehouses. This research paper addresses various potential differences between the two techniques and highlights the advantages of using dimensional modelling along with disadvantages as well. Dimensional Modelling is one of the popular techniques for databases that are designed keeping in mind the queries from end-user in a data warehouse. In this paper the focus has been on Star Schema, which basically comprises of Fact table and Dimension tables. Each fact table further comprises of foreign keys of various dimensions and measures and degenerate dimensions if any. We also discuss the possibilities of deployment and acceptance of Conversion Model (CM) to provide the details of fact table and dimension tables according to the local needs. It will also highlight to why dimensional modelling is preferred over E-R modelling when creating data warehouse.
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Derpich, Ivan, and Juan Sepulveda. "Lagrangian Formulation for Energy-efficient Warehouse Design." International Journal of Computers Communications & Control 12, no. 1 (December 2, 2016): 41. http://dx.doi.org/10.15837/ijccc.2017.1.2782.
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Energy consumption in modern warehouses is today an important issue which has not received much attention in the scientific community. In this paper it is addressed the problem of warehouse design considering the energy costs incurred by vehicles and equipment in a fully or partially automated facility. Closed-form solutions are obtained by a formulating the Lagrangian of an operational cost function with equality constraints. The contribution of the paper is to develop formulas for reduced energy consumption and pollution, both relevant aspects in sustainable engineering systems. An example applied to a distributor of MRO items is presented. In this version the energy cost is integrated into the formula, modifying the method presented in [1].
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Azadeh, Kaveh, René De Koster, and Debjit Roy. "Robotized and Automated Warehouse Systems: Review and Recent Developments." Transportation Science 53, no. 4 (July 2019): 917–45. http://dx.doi.org/10.1287/trsc.2018.0873.
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Robotic handling systems are increasingly applied in distribution centers. They require little space, provide flexibility in managing varying demand requirements, and are able to work 24/7. This makes them particularly fit for e-commerce operations. This paper reviews new categories of automated and robotic handling systems, such as shuttle-based storage and retrieval systems, shuttle-based compact storage systems, and robotic mobile fulfillment systems. For each system, we categorize the literature in three groups: system analysis, design optimization, and operations planning and control. Our focus is to identify the research issue and operations research modeling methodology adopted to analyze the problem. We find that many new robotic systems and applications have hardly been studied in academic literature, despite their increasing use in practice. Because of unique system features (such as autonomous control, flexible layout, networked and dynamic operation), new models and methods are needed to address the design and operational control challenges for such systems, in particular, for the integration of subsystems. Integrated robotic warehouse systems will form the next category of warehouses. All vital warehouse design, planning, and control logic, such as methods to design layout, storage and order-picking system selection, storage slotting, order batching, picker routing, and picker to order assignment, will have to be revisited for new robotized warehouses.
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Caprili, Silvia, Francesco Morelli, Walter Salvatore, and Agnese Natali. "Design and Analysis of Automated Rack Supported Warehouses." Open Civil Engineering Journal 12, no. 1 (June 29, 2018): 150–66. http://dx.doi.org/10.2174/1874149501812010150.
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Background: The lack of codified standards for the design of automated rack supported warehouses forced engineers to use personal experience and commonly accepted rules. Objective: This paper investigates the efficacy of applying Eurocodes’ rules for the design and analysis of automated rack supported warehouses. Structural performance, construction feasibility and economic effort are considered. Method: A typical case study building was designed following the two approaches proposed by Eurocodes: elastic and dissipative. Results: The satisfaction of the capacity design requirements, used for dissipative approach, was not always possible. Analyses showed the development of non-uniform collapse mechanisms and yielding patterns. Conclusion: Specific design rules and analysis techniques shall be developed accounting for the structural performance of automated rack supported warehouses.
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Oktarina, Yurni, Destri Zumar Sastiani, and Tresna Dewi. "Simulation Design of Artificial Intelligence Controlled Goods Transport Robot." Computer Engineering and Applications Journal 11, no. 2 (June 1, 2022): 155–65. http://dx.doi.org/10.18495/comengapp.v11i2.411.
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Technological advances enable scientists and researchers to develop more automated systems for life's convenience. Transportation is among those conveniences needed in daily activities, including warehouses. The easy-to-build and straightforward transport robot are desired to ease human workers' working conditions. The application of artificial intelligence (AI), Fuzzy Logic Controller, and Neural Network ensures the robot is able to finish assigned tasks better and faster. This paper shows the concept design of an AI-controlled good transport robot applied in the warehouse. The design is made as fast and straightforward forward possible, and the feasibility of the proposed method is proven by simulation in Scilab FLT and Neuroph.
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Orlando, Salvatore, Renzo Orsini, Alessandra Raffaeta, Alessandro Roncato, and Claudio Silvestri. "Trajectory Data Warehouses: Design and Implementation Issues." Journal of Computing Science and Engineering 1, no. 2 (December 31, 2007): 211–32. http://dx.doi.org/10.5626/jcse.2007.1.2.211.
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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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CENGİZ, Mehmet Sait. "DAYLIGHTING APPLICATION SUITABLE FOR ARCHITECTURAL DESIGN WITH LIGHT TUBE IN WAREHOUSES." Euroasia Journal of Mathematics, Engineering, Natural & Medical Sciences 8, no. 17 (September 25, 2021): 195–206. http://dx.doi.org/10.38065/euroasiaorg.689.
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With the increase in the use of daylight in architecture, providing visual comfort values as well as physical and psychological effects on people and minimizing the lighting energy need of the building have become important in terms of design. Today, with the development of daylight technologies, economic light tubes have become popular in Architecture. Light tubes have become an effective method in Architecture in terms of energy efficiency to illuminate areas of a building that are exposed to limited sunlight. In addition, people prefer to use daylight by nature. Therefore, the use of light tubes continues to increase in buildings with modern architecture. However, due to architectural design and necessities, daylight is used in a limited way in interior areas. While architects determine the position of the light tubes in the building in order for daylight to reach the dark and dim spots of the buildings, knowing the Illuminance level performance of the positioned light tubes has become a necessity for efficient use. In the study conducted to solve this problem, the Daylight Factor Method specified in the European Union EN 17037:2018 Standard was used in the use of light tubes. As stated in the relevant standard, the methods in the daylight factor value ISO 15469:2004 were used. The evaluation of the buildings in terms of daylight performance was calculated in the simulation environment according to the horizontal luminance of the daylight openings. With the designed simulation, the values in the conditions specified in the criteria related to the light tubes are provided. In this way, a light tube that provides energy efficiency is compatible with the circadian rhythm and is compatible with the architecture of this building, and optimum illuminance level values have been determined for the warehouse, which is the subject of the study in the simulation environment.
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Abbo, Rassidatou, Okpwe Mbarga Richard, Lezin Seba Minsili, and Mbondo Jean Marc. "A BIM Approach for the Design of Industrial Warehouses." Saudi Journal of Civil Engineering 6, no. 1 (January 10, 2022): 1–8. http://dx.doi.org/10.36348/sjce.2022.v06i01.001.
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All around the world, the Building Information Modeling (BIM) is transforming the architecture of engineering design and of construction industry. While it is in an early implementation stage in African Sub-saharan Countries, many construction regulators and project owners are beginning to enforce the BIM application from the project design stage to its commissioning. The aim of this research work is to provide an approach for designing industrial warehouses using BIM as it was done in the industrial zone of the Kribi Deep Sea port in Cameroon. The proposed methodology is presented in six steps: definition of BIM general requirements, design of the 3D BIM architectural model, sizing of wall and roof for specific requirements, design of the 3D BIM structural model, coordination of 3D BIM models and interference detection and creation of 4D BIM model. Results obtained from the application of BIM on the design of a warehouse, dedicated to preserve the natural and biological essence of cocoa and coffee products in a hostile marine environment, show that this methodology is easily appropriated and implemented by local design and construction engineers through available engineering software in the local market.
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Rodríguez-Mazahua, Nidia, Lisbeth Rodríguez-Mazahua, Asdrúbal López-Chau, Giner Alor-Hernández, and Isaac Machorro-Cano. "Decision-Tree-Based Horizontal Fragmentation Method for Data Warehouses." Applied Sciences 12, no. 21 (October 28, 2022): 10942. http://dx.doi.org/10.3390/app122110942.
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Data warehousing gives frameworks and means for enterprise administrators to methodically prepare, comprehend, and utilize the data to improve strategic decision-making skills. One of the principal challenges to data warehouse designers is fragmentation. Currently, several fragmentation approaches for data warehouses have been developed since this technique can decrease the OLAP (online analytical processing) query response time and it provides considerable benefits in table loading and maintenance tasks. In this paper, a horizontal fragmentation method, called FTree, that uses decision trees to fragment data warehouses is presented to take advantage of the effectiveness that this technique provides in classification. FTree determines the OLAP queries with major relevance, evaluates the predicates found in the workload, and according to this, builds the decision tree to select the horizontal fragmentation scheme. To verify that the design is correct, the SSB (star schema benchmark) was used in the first instance; later, a tourist data warehouse was built, and the fragmentation method was tested on it. The results of the experiments proved the efficacy of the method.
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Castillo, Romer C. "Green Warehousing Practices in the Philippines." Indonesian Green Technology Journal 11, no. 01 (May 30, 2022): 1–12. http://dx.doi.org/10.21776/ub.igtj.2022.011.01.01.
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Green practice is a worldwide policy and everybody is concerned with sustainable development. This study assessed the green warehousing (GWH) practices in the Philippines and its sustainability dimensions. It utilized a quantitative descriptive-survey approach with questionnaire for data collection. The sample consists of 48 warehouses with warehouse managers as respondents. Statistical tests used were frequency and percentage, mean and standard deviation, Kruskal-Wallis H-Test, and Mann-Whitney U-Test. Results showed most of participating warehouses are located in Parañaque, corporate-owned, small enterprises, operating for 15 years or less, with less than 100 employees, and private. Results further revealed that GWH practices on inventory management and operations were almost always practiced while those on facility design, layout, mechanical handling equipment, staff, and warehouse management system (WMS) were often practiced. Environment, social, and economic GWH practices are also often practiced. Top GWH practices are mostly economic and some social while bottom GWH practices are mostly environmental. Significant differences on GWH practices were found on inventory management, staff, WMS, and social dimension when grouped to location; on WMS when grouped to operation years; and on facility design, environment, and social dimension when grouped to nature of service. These findings may guide warehouse managers in enhancing their GWH practices as they gear towards attaining sustainability in support to the United Nation’s Sustainable Development Goals.
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Bogue, Robert. "Growth in e-commerce boosts innovation in the warehouse robot market." Industrial Robot: An International Journal 43, no. 6 (October 17, 2016): 583–87. http://dx.doi.org/10.1108/ir-07-2016-0194.
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Purpose This paper aims to illustrate how the growth in e-commerce has catalysed innovative developments in robots for use in warehouses. Design/methodology/approach Following a brief introduction to e-commerce and warehouse robots, this first paper discusses Amazon’s involvement with robotic technology. It then considers the community of recently founded companies manufacturing warehouse robots, together with details of their products. The paper concludes with a short discussion. Findings Amazon pioneered the use of robotics in its e-commerce warehouses with Kiva robots. It acquired the company in 2012, renaming it Amazon Robotics, and withdrew the products from open sale, triggering a boom in development activity to fill the gap in the market. Many companies in the USA, Europe and Asia have since been set up to exploit this opportunity and now manufacture robots for use in fulfilment centres around the world. While several products resemble the Kiva robots, others are more sophisticated and feature capabilities such as shelf picking and autonomous navigation. In the longer term, it is anticipated that functions such as product packing will also be conducted by robots, leading to fully automated fulfilment centres. Originality/value This paper discusses the recent and dramatic upsurge in the development of robots for use in warehouses, particularly those serving the rapidly growing e-commerce sector.
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Sienera, Farrel Stefan, Tanti Octavia, and Desi Winoto. "Simulation-based Optimization Approached to Design a Proposed Warehouse Layout on Bicycle Industry." Jurnal Teknik Industri 24, no. 2 (December 20, 2022): 141–50. http://dx.doi.org/10.9744/jti.24.2.141-150.
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The finished goods must be stored in a warehouse before the items are dispatched. Due to the increasing demand in 2020, there will be an increase in the quantity of items, which will cause the finished goods warehouse at PT X to reach capacity. This issue lengthens the flow through the warehouse and makes it easier for the items to sustain damage. To improve capacity, the firm is building a new finished goods warehouse, and it wants to organize the two warehouses so that the displacement time is as short as possible. This study utilized simulations to calculate the time and dedicated and class-based storage strategies to establish the layout. This study utilized simulations to determine the time and dedicated and class-based storage approaches to establish the layout. According to the findings, the dedicated storage technique has a total displacement distance of 703,952 meters and an average moving duration of 3.37 minutes per pallet. These findings are not as useful as the class-based storage technique, which has 705,961 meters and an average pallet turn time of 3.53 minutes.
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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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Marmolejo, J. A., I. Soria, and H. A. Perez. "A Decomposition Strategy for Optimal Design of a Soda Company Distribution System." Mathematical Problems in Engineering 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/891204.
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This work presents a distribution problem of products of a soda bottling company. Commodities are produced at several plants with limited capacity and the demand of distribution centers is satisfied by shipping via cross-docking warehouses. The decomposition strategy is proposed to determine which warehouse needs to be opened to consolidate the demand and by which warehouse each distribution center is served exclusively. The objective is minimizing fixed costs and total transportation costs. The model presented is a mixed-integer programming model with binary variables for which we propose a decomposition strategy based on Benders algorithm. Numerical results show that the proposed strategy can provide the optimal solution of several instances. A large-scale case study based on a realistic company situation is analyzed. Solutions obtained by the proposed method are compared with the solution of full scale problem in order to determine the quality bound and computational time.
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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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DEMCHENKO, Y., V. MALASHKIN, A. DOROSH, and I. SKOVRON. "INVESTIGATION OF THE PARAMETERS OF WAREHOUSE COMPLEXES USING PETRI NETS." Transport systems and transportation technologies, no. 21 (August 15, 2021): 70. http://dx.doi.org/10.15802/tstt2021/237770.
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The purpose. In modern conditions, the task of improving systems for storing material stocks has significant scientific and practical significance. At the same time, the nature and degree of influence of the parameters of the incoming flow of goods on the required technical equipment of warehouses from the standpoint of logistics and a systematic approach have been insufficiently studied. The absence of a final solution to the problem of developing a universal methodology for determining rational technical and technological parameters of warehouses for packaged goods formulated the goal of the study, which is to determine the rational equipment of a warehouse complex on the basis of simulation modeling of the process of its functioning, formalized by a Petri net. Methodology. In the work, the authors present a methodology for formalizing the process of functioning of a transport and warehouse complex using a Petri net in the QPNet environment. The technique of technical and economic comparison of options for equipping a warehouse complex, which is based on the use of modified reduced costs, is presented. Results. The paper reviews the existing imitation models of warehouse complexes, identifies their advantages and disadvantages. On the basis of the analysis performed, a simulation system was determined for the development of a model of a warehouse complex. The article presents a universal method for determining the rational technical and technological parameters of warehouses for packaged goods using a simulation model of a warehouse, the technological process of which is represented by a Petri net. With the developed simulation model of the composition, a series of experiments were performed, differing in the operational conditions of operation, as a result of which a set of technical and operational indicators of the warehouse complex was obtained. The obtained indicators of the warehouse functioning became the basis for determining its rational technical equipment. The practical significance of the methodology presented in the work for constructing a universal model of a warehouse complex and a technical and economic assessment of the indicators of its functioning will make it possible to more accurately determine the rational number of technical means and technical equipment in the design of new or reconstruction of existing transport and warehouse complexes.
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Wiwik, Budiawan, Singgih Saptadi, and Ary Arvianto. "The Development of Data Warehouse to Support Data Mining Technique for Traffic Accident Prediction." E3S Web of Conferences 73 (2018): 12007. http://dx.doi.org/10.1051/e3sconf/20187312007.
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Traffic accidents are one of the major health problems that cause serious death in the world and ranks 9th in the world. Traffic accidents in Indonesia ranks 5th in the world. One effort to improve traffic safety is to design traffic accident prediction models. Prediction models will utilize accident-related data in traffic through data mining processing. The data warehouse offers benefits as a basis for data mining. Building an effective data warehouse requires knowledge and attention to key issues in database design, data acquisition and processing, as well as data access and security. This study is the first step in the development of data mining accidents based prediction system. The output of this initial stage is the design of data warehouses that can provide periodic and incidental data to the data mining process, especially in the prediction of accidents. The method used to design data warehouse is Entity Relationship Diagram (ERD).
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Kang, Qiu Yan, Xi Shuang Wu, and Quan Xi Li. "Wind Resistant Design of Low-Rise Steel Buildings." Applied Mechanics and Materials 470 (December 2013): 1003–6. http://dx.doi.org/10.4028/www.scientific.net/amm.470.1003.
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Light steel houses are widely applied to low-rise industrial buildings for lightweight, easy industrialization and fast construction. But under the condition of strong wind, there often occurs wind-induced damages to light steel houses because they are sensitive to wind loads, causing huge economic losses. This paper offers a wind-resistant design for a steel structure warehouse which may suffer from force-14 super typhoon with maximum wind speed of 150 km/h. The main factors affecting the wind-resistant capacity of steel structure plants as well as the attacking characteristics and failure mechanism of typhoon on low-rise buildings are fully analyzed. Opinions on the design of low-rise steel structure warehouses against typhoon have been proposed by discussing different wind directions. Considering conceptual design, we also provide some concrete measures of wind-resistance for low-rise buildings in coast areas.
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Azzaoui, Amine, Ouzayr Rabhi, and Ayyoub Mani. "A Model Driven Architecture Approach to Generate Multidimensional Schemas of Data Warehouses." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 12 (August 23, 2019): 18. http://dx.doi.org/10.3991/ijoe.v15i12.10720.
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Over the past decade, the concept of data warehousing has been widely accepted. The main reason for building data warehouses is to improve the quality of information in order to achieve specific business objectives such as competitive advantage or improved decision-making. However, there is no formal method for deriving a multidimensional schema from heterogeneous databases that is recognized as a standard by the OMG and the professionals of the field. Which is why, in this paper, we present a model-driven approach (MDA) for the design of data warehouses. To apply the MDA approach to the Data warehouse construction process, we describe a multidimensional meta-model and specify a set of transformations from a UML meta-model which is mapped to a multidimensional meta-model. The transformation rules are programmed by the Query View Transformation (QVT) language. A case study illustrates our approach. It demonstrates how it reinforces the components traceability and reusability and how it globally improves the modeler’s efficiency. Furthermore, the use of the UML, as a technique to build data warehouses, is an important facilitator which prepares our further work to automate this approach.
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Serrano, M., C. Calero, and M. Piattini. "Validating metrics for data warehouses." IEE Proceedings - Software 149, no. 5 (2002): 161. http://dx.doi.org/10.1049/ip-sen:20020697.
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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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Pardillo, Jesus, and Jose Norberto Mazon. "Using Ontologies for the Design of Data Warehouses." International Journal of Database Management Systems 3, no. 2 (May 31, 2011): 73–87. http://dx.doi.org/10.5121/ijdms.2011.3205.
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Pardillo, Jesús, Jose-Norberto Mazón, and Juan Trujillo. "An MDA Approach and QVT Transformations for the Integrated Development of Goal-Oriented Data Warehouses and Data Marts." Journal of Database Management 22, no. 1 (January 2011): 43–68. http://dx.doi.org/10.4018/jdm.2011010103.
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To customize a data warehouse, many organizations develop concrete data marts focused on a particular department or business process. However, the integrated development of these data marts is an open problem for many organizations due to the technical and organizational challenges involved during the design of these repositories as a complete solution. In this article, the authors present a design approach that employs user requirements to build both corporate data warehouses and data marts in an integrated manner. The approach links information requirements to specific data marts elicited by using goal-oriented requirement engineering, which are automatically translated into the implementation of corresponding data repositories by means of model-driven engineering techniques. The authors provide two UML profiles that integrate the design of both data warehouses and data marts and a set of QVT transformations with which to automate this process. The advantage of this approach is that user requirements are captured from the early development stages of a data-warehousing project to automatically translate them into the entire data-warehousing platform, considering the different data marts. Finally, the authors provide screenshots of the CASE tools that support the approach, and a case study to show its benefits.
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Kumar, Amit, and T. V. Vijay Kumar. "Materialized View Selection Using Self-Adaptive Perturbation Operator-Based Particle Swarm Optimization." International Journal of Applied Evolutionary Computation 11, no. 3 (July 2020): 50–67. http://dx.doi.org/10.4018/ijaec.2020070104.
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A data warehouse is a central repository of time-variant and non-volatile data integrated from disparate data sources with the purpose of transforming data to information to support data analysis. Decision support applications access data warehouses to derive information using online analytical processing. The response time of analytical queries against speedily growing size of the data warehouse is substantially large. View materialization is an effective approach to decrease the response time for analytical queries and expedite the decision-making process in relational implementations of data warehouses. Selecting a suitable subset of views that deceases the response time of analytical queries and also fit within available storage space for materialization is a crucial research concern in the context of a data warehouse design. This problem, referred to as view selection, is shown to be NP-Hard. Swarm intelligence have been widely and successfully used to solve such problems. In this paper, a discrete variant of particle swarm optimization algorithm, i.e. self-adaptive perturbation operator based particle swarm optimization (SPOPSO), has been adapted to solve the view selection problem. Accordingly, SPOPSO-based view selection algorithm (SPOPSOVSA) is proposed. SPOPSOVSA selects the Top-K views in a multidimensional lattice framework. Further, the proposed algorithm is shown to perform better than the view selection algorithm HRUA.
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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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Tiverovsky, V. I. "Development of warehouse logistics abroad at the present stage." Transport Technician: Education and Practice 1, no. 4 (November 24, 2020): 380–84. http://dx.doi.org/10.46684/2687-1033.2020.4.380-384.
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A brief overview of the development of warehouses, logistics and distribution centers in Germany and other foreign countries at the present stage is presented. Some general development trends associated with the implementation of the concept of the fourth industrial revolution are identified. The implementation of these requirements provides for deep digitalization and intellectualization of production processes, control systems and applied technologies. A key role in the new conditions belongs to the design of logistics facilities using modern modeling and virtual reality capabilities. The analysis of the latest projects of warehouses with varying degrees of automation up to automatic warehouses was carried out. Examples of projects are given and the features of the adopted technical solutions are noted. Recently, a number of new technologies and systems have been developed and implemented in warehouse logistics. Of particular interest are new technologies for picking orders in warehouses, because The requirements for this technology have changed significantly due to the intensive development of online electronic commerce. The number of orders is constantly growing, and the requirements for the duration of these operations are dictated downward. Robotization has recently taken an important place. Working in a pandemic with the requirements for the maximum possible reduction in the number of personnel has further increased the relevance and importance of using robots, in particular, collaborative ones, i.e. working together with the person. Considerable attention is paid to the use in industrial logistics of floor transport with vehicles that work without drivers.
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Hanine, Mohamed, Mohamed Lachgar, Sara Elmahfoudi, and Omar Boutkhoum. "MDA Approach for Designing and Developing Data Warehouses: A Systematic Review & Proposal." International Journal of Online and Biomedical Engineering (iJOE) 17, no. 10 (October 19, 2021): 99. http://dx.doi.org/10.3991/ijoe.v17i10.24667.
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A data warehouse (DW) is a vast repository of data that facilitates decision-making for businesses and companies. This concept dates back to the 1980s and it has been widely accepted. One of the key points for the success of the process of data warehousing lies in the definition of the warehouse model depending on data sources and analysis needs. Once the data warehouse is designed, the content and structure of the data sources, as well as the requirements analysis are required to evolve, therefore, an evolution of the model must take place (diagram and data). In this context, several approaches have been developed to design and implement data warehouses. Nevertheless, there is no standard process that deals with designing all of the data warehouse layers, also, there is no software that encompasses this type of problem. In general, the majority of these approaches focus on a particular aspect of data warehouse such as data storage, ETL process, OLAP, reporting, etc, and does not cover its entire lifecycle. A Model-Driven Architecture (MDA) is a standard approach, its aims to support all phases of software manufacturing by promoting the use of models and the transformations between them. Moreover, this approach aims to automate the process of software engineering, thereby decreasing the cost of software development and enhancing its productivity. In this study, we present a systematic review of various works on the data warehouse design methods. We compare and discuss these works according to the criteria that seem relevant for this issue. We present a new design approach for multidimensional schemas construction from relational models using MDA techniques, we also develop the resulting research perspectives.