Design and application of data analytics in an internet-of-things enabled warehouse

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Silvia Sagita Arumsari ◽  
Ammar Aamer
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
System Development ◽  
Research Process ◽  
Prototype System ◽  
Manufacturing Companies ◽  
Wireless Internet ◽  
Real Time Processing ◽  
Content Type ◽  
Warehouse Operations

Purpose While several warehouses are now technologically equipped and smart, the implementation of real-time analytics in warehouse operations is scarcely reported in the literature. This study aims to develop a practical system for real-time analytics of process monitoring in an internet-of-things (IoT)-enabled smart warehouse environment. Design/methodology/approach A modified system development research process was used to carry out this research. A prototype system was developed that mimicked a case company’s actual warehouse operations in Indonesia’s manufacturing companies. The proposed system relied heavily on the utilization of IoT technologies, wireless internet connection and web services to keep track of the product movement to provide real-time access to critical warehousing activities, helping make better, faster and more informed decisions. Findings The proposed system in the presented case company increased real-time warehousing processes visibility for stakeholders at different management levels in their most convenient ways by developing visual representation to display crucial information. The numerical or textual data were converted into graphics for ease of understanding for stakeholders, including field operators. The key elements for the feasible implementation of the proposed model in an industrial area were discussed. They are strategic-level components, IoT-enabled warehouse environments, customized middleware settings, real-time processing software and visual dashboard configuration. Research limitations/implications While this study shows a prototype-based implementation of actual warehouse operations in one of Indonesia’s manufacturing companies, the architectural requirements are applicable and extensible by other companies. In this sense, the research offers significant economic advantages by using customized middleware to avoid unnecessary waste brought by the off-the-shelves generic middleware, which is not entirely suitable for system development. Originality/value This research’s finding contributes to filling the gap in the limited body of knowledge of real-time analytics implementation in warehousing operations. This should encourage other researchers to enhance and develop the devised elements to enrich smart warehousing’s theoretical knowledge. Besides, the successful proof-of-concept implementation reported in this research would allow other companies to gain valuable insights and experiences.

An internet of things-based smart warehouse infrastructure: design and application

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ifadhila Affia ◽  
Ammar Aamer
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Future Research ◽  
Prototype System ◽  
Successful Implementation ◽  
Manufacturing Companies ◽  
Content Type ◽  
Infrastructure Design ◽  
Qualitative Descriptive ◽  
Critical Components

Purpose Real-time visibility and traceability in warehousing could be accomplished by implementing the internet-of-things (IoT) technology. The purpose of this paper is to develop a roadmap for designing an IoT-based smart warehouse infrastructure and, respectively, design and apply the IoT-based smart warehouse infrastructure using a developed roadmap. More specifically, this study first identifies critical components to design an IoT-based smart warehouse infrastructure. Second, the study at hand identifies essential factors that contribute to the successful implementation of IoT-based smart warehouse infrastructure. Design/methodology/approach A qualitative-descriptive method, through a comprehensive review of the relevant studies, was used in this study to develop a roadmap. A prototype system was then designed to simulate a case company’s actual warehouse operations in one of the manufacturing companies in Indonesia. Findings A framework was proposed which is viable for designing an IoT-based smart warehouse infrastructure. Based on the data collected from a case company, the proposed smart warehouse infrastructure design successfully implemented real-time visibility and traceability and improved overall warehouse efficiency. Research limitations/implications While the framework in this research was carried out in one of the developing counties, the study could be used as the basis for future research in a smart warehouse, IoT and related topics. Originality/value This research enhances the limited knowledge to establish the IoT infrastructure for a smart warehouse to enable real-time visibility and traceability. This study is also the first to specifically propose a framework for designing an IoT-based smart warehouse infrastructure. The proposed framework can motivate companies in developing countries to deploy efficient and effective smart warehouses using IoT to drive the countries’ economic growth.

The Study on the Methodology of Transactionevent in the Ale of Rfid Networks

2014 ◽  
Vol 556-562 ◽  
pp. 5321-5327
Author(s):  
Hui Qun Zhao ◽  
Hai Gang Yang
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Large Data ◽  
The Internet ◽  
Prototype System ◽  
Processing Efficiency ◽  
Long Period ◽  
Rfid Networks ◽  
Integrated Program ◽  
The Internet Of Things

TransactionEvent is one of the five events defined in EPCGlobal standard. As TransactionEvent lasts for a long period and processes large data, it has a higher demand of real-time. The process of the TransactionEvent in the Internet of Things is complex. In order to overcome these disadvantages, this paper proposes a non-integrated program. This program will ensure the TransactionEvent processing efficiency, reliability and real time. In the end of this paper, the article will implement a prototype system of a commercial IoT to verify this method.

Online Design and Price Quotations for Complex Product Assemblies: The Case of Overhead Cranes

1999 ◽  
Author(s):  
Raj Veeramani ◽  
Tushar Mehendale
Keyword(s):  
Real Time ◽  
Retail Industry ◽  
The Internet ◽  
Prototype System ◽  
Overhead Crane ◽  
Manufacturing Companies ◽  
Complex Product ◽  
Overhead Cranes ◽  
Price Quotation ◽  
Online Design

Abstract Several companies, particularly in the retail industry, have successfully employed E–Commerce for promoting and selling of their standard, catalog products over the Internet. However, the majority of manufacturing companies deal with modified–standard and custom products, not standard, catalog products. In this paper, we describe how even manufacturers of complex product assemblies can take advantage of E–Commerce technologies for online design, configuration and price quotation in real–time, based on customer specified product requirements. We illustrate a prototype system in the context of an overhead crane manufacturer.

scholarly journals A Thing Speak IoT Based Vibration Measurement and Monitoring System Using an Accelerometer sensor

2021 ◽  
Vol 9 (8) ◽  
pp. 1249-1258
Author(s):  
shubhangi Kumari
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Web Applications ◽  
Current Model ◽  
Vibration Monitoring ◽  
Vibration Measurement ◽  
Prototype System ◽  
Accelerometer Sensor ◽  
Data Collections

Abstract: This paper presents the development of a Thing Speak IoT on a Real-Time Vibration measurement System using the accelerometer Sensor. Many systems have been designed previously but some lack systems are identified where it does not provide adaptively connections and alert to web pages on logging data collections. Thus, understanding the previous system model is important to compare the importance of new build parameters in designing the new system. An evaluation of the current model, hardware, and software is important before a new architecture is developed. This research has developed a prototype system to monitor and measure the vibration of a system remotely and setting up threshold and alert accordingly. The designed system assisted with an internet as vibration monitoring system for the machines. Research methods consist of two parts involved hardware and software development. The hardware development covers the connections of the accelerometer sensor and the software involved in constructed coding using the C language program. The program then is compiled and uploaded into the Node MCU to display the acceleration of the system. An open-source Internet of Things called Thing Speak is used as a platform to retrieve and display the collected data. Real-time monitoring can be accessed through Smartphone and web applications. This study has been considered successfully implemented and it is a significant study that performs on new IoT platforms and adaptively ready to monitor a vibration remotely. Keyword: Accelerometer Sensor, Internet of Things, Thing Speak, Real-Time.

scholarly journals Challenges with Coordination of Technology Development and Transfer of Industry 4.0 Technologies in IMNs

2020 ◽  
Author(s):  
Viktorija Badasjane ◽  
Mats Alhskog ◽  
Anna Granlund ◽  
Jessica Bruch
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Industry 4.0 ◽  
Technology Development ◽  
New Products ◽  
Manufacturing Companies ◽  
Manufacturing Network ◽  
Embedded Case Study

Within an international manufacturing network (IMN), one particular factory, called the lead factory is responsible for development of new products, processes and technologies as well as transferring these to the subsidiaries within the IMN. These responsibilities require coordination, which is found difficult even in the best-performing companies due to its complexity. When the responsibility for development of Industry 4.0 technologies are included such as cyber-physical systems and Internet of Things the complexity increases further. Therefore, the aim of this paper is to identify what are the challenges with coordination of technology development and transfer of Industry 4.0 technologies in IMNs. Accordingly, a real-time embedded case study was carried out with six manufacturing companies. One major finding is that development of Industry 4.0 technologies does not fit the current way of organizing technology development at lead factories. Another finding is that several of the identified challenges connected to technology development can be derived from a lack of a long-term strategy ensuring competence for future needs.

Design of Compaction Operation Monitoring System for Intelligent Vibratory Roller Based on Internet of Things

2021 ◽  
Vol 10 (1) ◽  
pp. 50
Author(s):  
Tao Li ◽  
Gangfeng Wang ◽  
Yunxi Zhang
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
The Internet ◽  
Prototype System ◽  
Hardware System ◽  
Sensor Module ◽  
Working Parameters ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In recent years, an intelligent vibratory roller with adjustable mode has become the leading direction for the development of compaction equipment that can obtain the state of the pressed material during the compaction operation and then control the working parameters and the excitation mode of the whole machine according to the condition of the pressed material. The intelligent vibratory roller can better meet today’s requirements for compaction. This paper proposes a compaction operation monitoring system for an intelligent vibratory roller based on the Internet of Things. Firstly, a hardware system for real-time compaction operation monitoring was established, including the selection of a sensor module and signal conditioning module. Secondly, a method for real-time compaction monitoring data evaluation and analysis of compaction was proposed and a detailed analysis process of the compaction data was designed. Finally, the compaction operation monitoring prototype system based on the Internet of Things technology was designed and constructed.

Towards more balanced sourcing strategies – are supply chain risks caused by the COVID-19 pandemic driving reshoring considerations?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Remko van Hoek ◽  
David Dobrzykowski
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Research Process ◽  
Manufacturing Companies ◽  
Content Type ◽  
Management Techniques ◽  
The Many ◽  
The Impact

Purpose Reshoring is one of the supply chain risk management techniques suggested in literature. However, literature suggests that the decision-making involved in reshoring is complex and not fully understood. In the context of the COVID-19 pandemic, reshoring may represent a way to reduce reliance on global sources and improve resilience of their supply chains. This paper aims to explore if the pandemic is driving reshoring decisions and if the pandemic will actually lead to companies reshoring parts of their supply chain. Design/methodology/approach This paper critically engages with senior(-most) supply chain managers from three manufacturing companies as they proceed through reshoring decision-making. This enables to develop experiential knowledge about reshoring decision-making processes and their context, as well as insights into the relevance of existing knowledge about reshoring. While not a full multiple case study, the opportunity to engage directly with senior(-most) supply chain managers as they consider reshoring, enables near real-time learning. Not only is reshoring a very timely topic literature has also called for more event-based empirical research. Further to that, it is hoped that this can complement this special issue and support, in a timely manner, the many researchers that are actively studying the impact of the pandemic on supply chains. Findings Reshoring was being actively considered by all three companies during the research process in Q3 and Q4 of 2020. During this period the pandemic has not yet led to substantial implementation of reshoring, at least by the companies studied in this paper. In response to tariffs on Chinese imports, companies had been diversifying their supply base away from China, but doing so by developing alternative, global sources. Additionally, companies are using alternative risk management techniques, such as supplier collaboration, in the short to medium term. Reshoring decision-making is indeed found to be complex and requires a longer-term time horizon for decision-making and implementation. Logistical challenges and growth in demand do drive a willingness of consumers to pay a premium for locally sourced products. However, when supply normalizes these considerations might lose relevance well before reshoring decision-making and implementation can be completed. Originality/value This paper studies reshoring in a real-world setting, learning directly from insights from industry as they emerge. This paper develops four extensions to existing knowledge, develop these in frameworks and hope that this will support ongoing consideration in industry and support the many researchers that are active in this domain today. This paper also suggests several directions for further research.

A supply chain performance measurement approach using the internet of things

2017 ◽  
Vol 117 (2) ◽  
pp. 267-286 ◽  
Author(s):  
Abdallah Jamal Dweekat ◽  
Gyusun Hwang ◽  
Jinwoo Park
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Performance Measurement ◽  
Real Time ◽  
Supply Chain Performance ◽  
Time Data ◽  
Content Type ◽  
Performance Measurement Systems ◽  
And Control

Purpose The purpose of this paper is to introduce a more practical approach for supply chain performance measurement (SCPM) and to approve the promising role of internet of things (IoT) technologies in SCPM systems. Design/methodology/approach This is a conceptual paper that includes literature review analysis, designing a new approach for SCPM, and a case study scenario for proving its applicability. Findings The case study scenario shows that IoT can enhance SCPM, as it has the capability to enable real-time data collection, increase data efficiency as long as enable real-time communication within the supply chain (SC). Practical implications The proposed approach can help to develop performance measurement systems and applications enabled by IoT technologies. These systems can be used to monitor, manage, and control the overall SC in real time and in a more integrated and cooperative manner. Originality/value This paper provides a structured systems building approach tailored to show how to employ IoT technologies in the field of SCPM. This approach could help in establishing new performance measurement applications, and it is believed that both practitioners and researchers will benefit from it.

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