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The integration and application of a warehouse system and manufacturing system has become a manufacturing problem for enterprises. The main reason is that the information control system based on automation and stereo warehouse is inconsistent with the production and management information system of the enterprise in terms of business, data, functio...
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The study examine relationship between implementing ERP systems on the boosting of the organizational performance, in addition, to examine the mediating role of agile supply chain approach to achieve the targeted performance enhancements in manufacturing listed firms in Amman Stock Exchange (ASE). The study population entails all manufacturing list...
Citations
... Utilizing a WMS to integrate with other business systems like ERP and CRM to streamline warehouse operations. This will be helpful for decision-making and to enhance the accuracy of the data [65]. ...
This study presents a comprehensive overview of the solar industry’s transition towards resilient energy solutions, emphasizing the critical role of data-driven practices in driving this transition through responsible resource management. As continuous technological refinement is essential to optimize solar energy’s potential, the smart use of available data plays a significant part in enhancing the accessibility of solar panels. Building upon prior research investigating the influence of Big Data on solar logistics, this paper proposes a hybrid Multi-Criteria Decision-Making (MCDM) methodology based on expert experience, providing practical support in the implementation of data-driven proactive measures within the solar industry. Specifically, this study focuses on measures aimed at effectively implementing two main logistic strategies, which are Route Optimization (RO) and Warehouse Management (WM). A rigorous analysis of criteria and measures considered to be relevant in the literature is first conducted. Criteria will be screened and weighted to eventually act as drivers toward measure assessment and prioritization. A final sensitivity analysis culminates in the formalization of findings and in the formulation of a pragmatic roadmap tailored for solar industry practitioners, designed to increase operational efficiency while integrating key sustainability principles across supply chain endeavors.
... Cybersecurity measures should include employee training and awareness programs to promote a cybersecurity culture. 4. ERP Integration: The framework highlights the importance of effective ERP integration in Industry 4.0 asset management [60,61]. Effective ERP integration involves establishing a common data model and communication protocols between ERP systems and modules. ...
... Additionally, the increasing trend toward virtual and extended enterprises has made it imperative for organizations to establish collaborative relationships with their suppliers, partners, and customers. One good example is university-industry collaboration [6,73], intensive co-organized educational events [60,77], educating new generations on how to work with and what they need to understand about specific technologies [78][79][80], and building community wisdom collection know-how and activities [81,82]. These collaboration models generate new knowledge-building seeds [83] for researchers and academics but simultaneously offer companies the chance to be in touch with the latest research, and new and novel ideas. ...
With the continued embracement of digital transformation, the need for efficient collaboration and communication between departments and partners becomes increasingly important. Enterprise Resource Planning (ERP) systems have a vital role as major systems for corporations’ core business process management activities and as utilizations to offer access to gain new visibility and control over corporation operations. However, integrating ERP systems remains challenging, particularly in virtual and extended enterprises. Our work discusses the importance of ERP integration in enhancing collaboration and communication within virtual and extended enterprises. It explores the challenges and benefits of ERP integration and presents best practices for successful integration, e.g., middleware and API utilization. The role of cloud computing in ERP integration and its potential to support collaboration in virtual and extended enterprises are explored. Finally, the paper discusses the importance of data governance, security, and compliance in ERP integration and highlights the need for a comprehensive approach to ensure successful integration. By following these best practices, businesses can enhance collaboration, streamline operations, and gain a competitive edge in the digital era.
... It helps manufacturers to identify and address production issues, as well as to ensure that their products meet customers' expectations. The manufacturer record and trace the material received from suppliers and the internal production processes [1]. When the manufacturer gets a product complaint, they trace the product through their internal system to determine the stage and cause of the issue and take necessary corrective action if required. ...
Trustworthiness and product traceability are essential factors in the apparel industry 4.0 for establishing successful business relationships among stakeholders such as customers, manufacturers, suppliers, and consumers. Each stakeholder has implemented different technology-based systems to record and track product transactions. However, these systems work in silos, and there is no intra-system communication, leading to a lack of complete supply chain traceability for all apparel stakeholders. Moreover, apparel stakeholders are reluctant to share their business information with business competitors; thus, they involve third-party auditors to ensure the quality of the final product. Furthermore, the apparel manufacturing industry faces challenges with counterfeit products, making it difficult for consumers to determine the authenticity of the products. Therefore, in this paper, a trustworthy apparel product traceability framework called ChainApparel is developed using the Internet of Things (IoT) and blockchain to address these challenges of authenticity and traceability of apparel products. Specifically, multiple smart contracts are designed and developed for registration, process execution, audit, fault, and product traceability to authorize, validate, and trace every business transaction among the apparel stakeholders. Further, the real-time performance analysis of ChainApparel is carried out regarding transaction throughput and latency by deploying the compute nodes at different geographical locations using Hyperledger Fabric. The results conclude that ChainApparel accomplished significant performance under diverse workloads while ensuring complete traceability along the complex supply chain of the apparel industry. Thus, the ChainApparel framework helps make the apparel product more trustworthy and transparent in the market while safeguarding trust among the industry stakeholders.
... El WMS es un software de gestión de almacenes que posibilita la recepción y salida de productos, asignación de las ubicaciones, inventarios y otras operaciones con mayor seguridad (Tong et al., 2023). ...
Industria 4.0 es un término empleado para hacer referencia a tecnologías modernas que inciden significativamente en el funcionamiento de la industria, tiene una gran repercusión en la logística al transformar la forma de gestionar y operar los procesos con métodos de trabajo más optimizados. Por ello, el artículo tiene como objetivo realizar un acercamiento teórico a las tecnologías de la industria 4.0 con aplicación en la logística. Se emplea una metodología de enfoque histórico-lógico con el modelo Kitchenham apoyada en la herramienta Rayyan. Los resultados ponen de manifiesto diversas tecnologías que son posibles de aplicar en los procesos logístico (recepción, almacenaje, despacho y distribución), para lo cual resulta clave estudiar a fondo la condición y las necesidades de la empresa.
... In order to overcome these drawbacks, this paper establishes a load level optimization model for automated three-dimensional warehouse based on three aspects: load access efficiency, shelf stability and load relevance, and solves it by using Bayesian optimization genetic algorithm [8,9]. ...
Automated three-dimensional warehouse is one of the important development directions of modern logistics industry, which can achieve efficient, accurate and safe logistics operation and improve the competitiveness of logistics enterprises. In order to fully exploit the advantages of automated three-dimensional warehouses, the storage of goods in automated three-dimensional warehouses must be reasonably designed and optimized to improve space utilization and logistics efficiency. In this paper, a hybrid algorithm based on a combination of Bayesian optimization algorithm and genetic algorithm is proposed to solve the problem of cargo space layout and cargo storage strategy in an automated three-dimensional warehouse. The method uses the Bayesian optimization algorithm to adaptively adjust the parameters of the genetic algorithm to improve the search capability and convergence speed of the genetic algorithm, while preventing the genetic algorithm from falling into local optimum solutions. Through experimental and simulation analysis, this paper demonstrates the effectiveness of the method in improving the cargo space utilization rate and warehouse operation efficiency, and outperforms the method using genetic algorithm alone in terms of performance and stability, providing a new way of thinking and method for the design and management of automated three-dimensional warehouses, with certain theoretical significance and practical value.
... In the future, autonomous robots will form a large part of our lives [1,2]. Technological developments that increase the level of digitalization in production facilities and warehouse automation have accelerated with the emergence of the concept of Industry 4.0 [3]. This process has made it necessary to manage industrial robots, mobile robotic systems, sensor networks, and all production tools in warehouses or factories, even products in warehouses, from a central server [4]. ...
Robots, which have mostly been effective in areas such as industrial, agricultural, and production facilities, have started to take a place in the service sector, as their technologies have become lower in cost and more easily accessible. This situation has attracted the attention of companies and researchers and has accelerated studies on this subject. In this study, an algorithm was developed for the autonomous mobile robot to serve in industrial areas. In line with this study, it was ensured that the autonomous mobile robot mapped the working environment, determined the working station in this environment, and then carried out transport operations between these working stations in accordance with a given work order. After the mobile robot fulfilled the work order, it went into a waiting state until a new work order was received. For the mobile robot to save energy, it was ensured that it waited close to the point where the work order came in the most, by means of machine learning in the waiting position. The developed algorithms were designed using the NI LabVIEW environment and then simulated in the RobotinoSIM environment and physically tested using the Robotino autonomous mobile robot platform. The experimental results showed that mapping and location reporting using an RGB camera, odometry, and a QR code eliminated permanent location errors, and the robot completed 50 work orders with 100% accuracy.
... The advancement of IT opens opportunities for IT/OT integration, leveraging IT for OT [14]. OT includes software such as Supervisory Control and Data Acquisition (SCADA) [15] for monitoring and control and Enterprise Resource Planning (ERP) [16] for core manufacturing operations. Advanced OT has additional software like Manufacturing Control System (MES) [17]. ...
Industry 4.0 has driven the need for Information Technology (IT) & Operational Technology (OT) convergence to modernize OT by leveraging IT. The challenges for manufacturing operations are utilizing and converting years of scattered data into valuable information integrated into the company's digital transformation strategy. This paper aims to provide a systematic literature review of current evidence in digital transformation for acquiring automation & control technologies data in manufacturing operations, such as Programmable Logic Controller (PLC), Supervisory Control and Data Acquisition (SCADA), Distributed Control System (DCS), and Manufacturing Execution System (MES), for analytics purposes and identify the current trends and best practices in this area. The findings cover current information on influential researchers, published journals, research trends, industries, industry types, types of analytics applications, methods, and frameworks for acquiring automation & control technologies data from the legacy OT infrastructure.
Purpose
Coordinating low-carbonization and digitalization is a practical implementation pathway to achieve high-quality economic development. Regions are under great emission reduction pressure to achieve low-carbon development. However, why and how regional emission reduction pressure influences enterprise digital transformation is lacking in the literature. This study empirically tests the impact of emission reduction pressure on enterprise digital transformation and its mechanism.
Design/methodology/approach
This article takes the data of non-financial listed companies from 2011 to 2020 as a sample. The digital transformation index is measured by entropy value method. The bidirectional fixed effect model was used to test the hypothesis.
Findings
The research results show that emission reduction pressure forces enterprise digital transformation. The mechanism lies in that emission reduction pressure improves digital transformation by promoting enterprise innovation, and digital economy moderates the nexus between emission reduction pressure and digital transformation. Furthermore, the effect of emission reduction pressure on digital transformation is more significant for non-state-owned, mature and high-tech enterprises.
Originality/value
This paper discusses the mediating role of enterprise innovation between carbon emission reduction pressure and enterprise digital transformation, as well as the moderating role of digital economy. The research expands the body of knowledge about dual carbon targets, digitization and technological innovation. The author’s findings help update the impact of regional digital economy development on enterprise digital transformation. It also provides theoretical guidance for the realization of digital transformation by enterprise innovation.
