Improving the performance of Supply Chain through Industry 4.0 technologies (original) (raw)

Smart Supply Chain Management: A Perspective of Industry 4.0

Supply chain industries are working with limited overall efficiency and productivity. Supply chain industries can become more efficient, productive and smarter by adopting the enabling technologies of Industry 4.0. The purpose of this research paper is to develop an IoT based conceptual framework for supply chain industry. Main aims of the suggested IoT based framework are to increase performance of the members of the supply chain through enhanced data sharing and well-organized resource utilization. In this research paper, keyword based literature review is carried out. Based on the literature review, IoT based conceptual framework is developed for SCM. Questionnaire was sent to 24 industries to determine the helpfulness of proposed IoT based SCM framework. This paper proposes a framework which focuses on development of smart supply chain management system. Proposed IoT based framework have data collection device, network and integrated information management system. Network device and integrated management system are used for transfer of collected data and examining the collected data by end user.

Smart supply chain management in Industry 4.0: the review, research agenda and strategies in North America

Annals of Operations Research

The emerging information and communication technologies (ICT) related to Industry 4.0 play a critical role to enhance supply chain performance. Employing the smart technologies has led to so-called smart supply chains. Understanding how Industry 4.0 and related ICT affect smart supply chains and how smart supply chains evolve with the support of the advanced technologies are vital to practical and academic communities. Existing review works on smart supply chains with ICT mainly rely on the academic literature alone. This paper presents an integrated approach to explore the effects of Industry 4.0 and related ICT on smart supply chains, by combining introduction of the current national strategies in North America, the research status analysis on ICT assisted supply chains from the major North American national research councils, and a systematic literature review of the subject. Besides, we introduce a smart supply chain hierarchical framework with multi-level intelligence. Furthermore, the challenges faced by supply chains under Industry 4.0 and future research directions are discussed as well.

Impact of Industry 4.0 on Supply Chain Management

SSRN Electronic Journal

Industry 4.0 includes technologies such as Internet of Things (IoT), Big Data Analytics, Smart Factory, Cyber Physical Systems, Blockchain, Machine Learning and Artificial Intelligence. Supply Chain is a field which involves numerous day to day activities such as planning, procurement, warehousing, transportation etc. With such activities also comes a huge amount of data. In order to manipulate and derive some analysis out of this data, and also effectively manage and coordinate the working of different activities simultaneously, there is huge scope for human misjudgment or errors which would lead to unoptimized inventory and increased costs. With digitization being adopted by various Supply Chain Industries, the above mentioned risks could be eliminated with the adoption of different technologies under Industry 4.0.

IRJET- The STUDY OF Industry 4.0 AND ITS IMPACT ON SUPPLY CHAIN MANAGEMENT

IRJET, 2020

This research is based on a study of industry 4.0 concept and its impact on the supply chain management. The study involve various stages. Work is start with historical background of industrial revolution. Start with 1 st industrial revolution to 4 th industrial revolution. Various technologies are used in industry 4.0. The technologies are internet of things (IoT), big data, smart factory, cyber physical system. From all this technologies we study the working model, architecture of the above technologies. The further study involved the supply chain management concept and its levers like procurement, manufacturing, warehouse, logistics, and fulfillment these are study in detail. After getting the data from each and every aspect further study is to find the impact of industry 4.0 on the supply chain management. And also benefits getting by the supply chain management due to industry 4.0. The study is concluded with understanding rapid development in manufacturing and other industry because of the industry 4.0 technology revolution.

Supply chain process oriented technology-framework for industry 4.0

2017

Digitalization in supply chains is an arising topic. Screening recent publications in this field delivers no application-oriented classification of potential Industry 4.0 technologies for supply chain processes. The purpose of this paper is to present an application-oriented Technology-Framework speeding up the development of digitalization scenarios for supply chain processes.A structured literature review will be carried out to identify and extract relevant technologies within the field of Industry 4.0. Afterwards, the Process Chain Model will be used to come up with standardized and application-oriented categories for technologies to derive a framework. Based on a comparative study, the Process Chain Model was especially developed for illustrating and transforming supply chain and logistics processes.The new Technology-Framework supports the transformation process by giving the user (1) a standardized framework for technology categorization and (2) by giving a comprehensive overview about existing technologies in the literature. The framework serves as a basis for future supply chain process transformation. By grouping the technologies around approved categories-originally defined for describing process chain elements-it speeds up the identification and selection of appropriate technologies.

Industry 4.0 in Supply Chain Management and its Impact on Manufacturing Sectors

IRJET, 2022

"Industry 4.0" mainly focuses on automation of system and method, digitalization, and knowledge exchange in industries. Its goal is to realize a sensible industrial plant to cut back interval to retort to the customers' demand or to unforeseen events and improve productivity within the system. Victimization this idea will result in enhancements in producing supply chain [SC], and provision. The adoption of Industry 4.0 in provides supply chain management [SCM] could be a new and important subject with a requirement for additional analysis. Many studies have started reviewing the present works on business 4.0. However, they are not focusing on its role in SCM. This paper presents a scientific review and synthesis of the present literature on Industry 4.0 in SCM that brings out some fascinating findings, which is able to be useful for the tutorial and business, particularly prime managers. This work identifies three classes from the content of the papers as alpha vs. validating, quality vs. quantity, management level vs. process/technology level. In addition, supported the subject Modeling technique, three completely different clusters of provides Chain, provision and producing topics were extracted with current shortcomings, challenges, and future analysis directions square measure.

Smart Manufacturing Technologies in Industry 4.0: Challenges and Opportunities

Wiley, 2023

Smart Manufacturing is accelerating globally, and smart systems and technologies are critical for cost-effective manufacturing in today's Industry 4.0 generation. Smart systems and connected technologies help organizations to virtually monitor the efficiency of their manufacturing enterprise and to safely test innovative technologies in order to make better profits and performance. In the near future, smart Systems and Technologies will be the key drivers in laying the foundation and to accelerate this transformation of highly optimized and smart manufacturing, in the near future. This research article identifies potential barriers to Industry 4.0 adoption for electronics and machine manufacturers and analyses how manufacturing processes must be adjusted to implement Industry 4.0, successfully. The objective of this chapter is to contribute to the successful implementation of Industry 4.0 in manufacturing processes leading to technological advancements. Keeping in mind the needs of Industry 4.0 and with a vision for the smart factories of future, this chapter is designed to provide researchers a comprehensive review of the available systems,

DIGITAL SMART LOGISTICS. MANAGING SUPPLY CHAIN 4.0: CONCEPTS, COMPONENTS AND STRATEGIC PERSPECTIVE

ISMC 2019 15th International Strategic Management Conference , 2019

Fast pace of development of ICT over last decades led to enormous transformations in many spheres of economic and social life. Impossible has become possible, dreams have become reality. The proof for this is the concept of Industry 4.0. It's not only a buzzword now. It has become a business practice and a well-established research area with a rapidly growing body of knowledge. Its size can be defined by Google Scholar that returns over 32000 search results when asked about Industry 4.0. Logistics is also the beneficiary of these changes. It has become digital and is becoming smart. As such, it becomes a process that, to the greatest extent, shifts supply chains from the inside to make them fully supportive to the concept of Industry 4.0. On the basis of a simple transcription we can call such structures Supply Chains 4.0. The purpose of the paper is to deliberate on the Supply Chain 4.0 concept, its delimitation, drivers and barriers, and to define its capabilities to create value under conditions of Industry 4.0 in order to give the discussion a strategic management perspective. Major recent developments in ICT as well as seminal theoretical advances will be taken into account to cope with the operationalization of Supply Chains 4.0 while providing a theoretical point of view on supply chain design, its operational performance and process maturity. The paper aims to designate new paths of scientific cognition, to open new avenues of detailed research, and to fine-tune scientific discussion in the field.

Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives

Information and communication technology is undergoing rapid development, and many disruptive technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, have emerged. These technologies are permeating the manufacturing industry and enable the fusion of physical and virtual worlds through cyber-physical systems (CPS), which mark the advent of the fourth stage of industrial production (i.e., Industry 4.0). The widespread application of CPS in manufacturing environments renders manufacturing systems increasingly smart. To advance research on the implementation of Industry 4.0, this study examines smart manufacturing systems for Industry 4.0. First, a conceptual framework of smart manufacturing systems for Industry 4.0 is presented. Second, demonstrative scenarios that pertain to smart design, smart machining, smart control, smart monitoring, and smart scheduling, are presented. Key technologies and their possible applications to Industry 4.0 smart manufacturing systems are reviewed based on these demonstrative scenarios. Finally, challenges and future perspectives are identified and discussed.

Application of MES/MOM for Industry 4.0 supply chains: A cross-case analysis

Application of MES/MOM for Industry 4.0 supply chains: A cross-case analysis, 2023

Manufacturing is facing challenges in integrating information technology (IT) with operational technology (OT) and implementing Industrial Internet of Things (IIoT) concepts in the industry to increase manufacturing flexibility. This paper addresses the research gap in designing and using next-generation manufacturing execution systems (MES)/manufacturing operations management (MOM) in IIoT to improve manufacturing flexibility through reconfigurability. For this, we follow an abductive research design and build on the literature on Industry 4.0 ′ s information architectures and models to propose a framework for building smart factory capabilities. Using the framework, we collect empirical data on MES/MOM implementation objectives for smart factories for six case studies conducted over a 4-year research project in Denmark (2018-2021), primarily through semistructured interviews. Through cross-case analysis, we identify seven dominant themes that capture focus areas for MES/MOM implementation for IT/OT integration. We use these findings to present generalized design recommendations for IIoT-connected MES/MOM to support reconfigurability for Industry 4.0 supply chains. Our findings indicate that despite considerable investments from many companies in Industry 4.0 initiatives such as artificial intelligencebased analytics and digital twins, the industry is not yet in a state to extract the data from all its legacy production equipment. Therefore, we present design recommendations to enable Industry 4.0 supply chains with IIoT-connected MES/MOM by using the data from OT devices. Our analysis helps us conclude that open standards and open application programming interfaces (APIs) are key requirements for enhancing IIoT interconnectivity and interoperability to achieve end-to-end integration in supply chains.