Productivity enhancement in Indian auto component manufacturing supply chain with IoT using neural networks

The idea of Industry 4.0 was presented for the first time in 2011 by Henning Kagermann, former top manager of the SAP company. He suggested that different processes in production of goods can be coordinated in large-sized networks. One of the most important tools becomes the Internet of things (IoT). The implementation of IoT takes place not only in the production but also in the procedures which are used in the supply chains on the global market. Transport and logistics operators have started the development and implementation of IoT within their companies as well as outside of them. An important part of new solutions involves the data exchange between the transport vehicles and objects in their environment—particularly in public transport infrastructure which this paper addresses. Firstly, an overview is provided on multiple reports published by research institutes and market players. Secondly, this paper presents solutions that were implemented before 2016. The analysis provides a description of the challenge in modern transport systems and a discussion of possible actions for transport and logistics operators who aim to keep or improve their market position. Additionally, another part of the paper analyzes the impact on the market of transport and value-added services by the implementation of autonomous vehicles and the new generation of robots by transport and logistics operators. The main conclusion is the recommendation to promote closer cooperation between research institutes and market players as well as public authorities. It will be the best way to increase the efficiency of the development process of new technologies, which can be implemented by transport and logistics operators in the medium-term future.

The increasing competition in the construction industry requires companies to cooperate and be actively involved in the dynamic management of multiple relationships and supply chains. To facilitate such dynamic supply chain management, some enterprises implement internet of things (IoT) technology and its smart devices. Through the utilisation of IoT technologies in supply chain cooperation, some enterprises have achieved the co-creation of values. However, few researchers evaluate the impacts of IoT implementation on the achievement of value co-creation in the Chinese construction context. To fill these gaps, this study concentrates on exploring the role of IoT implementation in enhancing value co-creation in terms of competency alignment (CA), behavioural alignment (BA), process alignment (PA) and congruence of expectation (CE) in Chinese supply chain collaboration. The data that informs the methodology is collected through a questionnaire and the findings illustrate that IoT implementation positively correlates with CA, BA, PA and CE. The paper concludes by summarising the study’s findings and outlining the managerial implications and opportunities for future study.

Given the complexities of supply chain networks, the firms consider modern technologies as a potential factor to improve their supply chain performances. One of these technologies is the Internet of Things (IoT). Hence, the main purpose of this study has been to achieve the conceptual model of the IoT implementation in hospital supply chains. Considering the qualitative nature of the study, relevant articles were specified through library research and collecting the related literature. The outputs obtained were analyzed using the meta-synthesis method and the grounded theory. Then the selected articles were extracted and the grounded theory was used to obtain the conceptual model of the IoT implementation in hospital supply chains. The research results indicated that the model featured 7 main categories, 19 subcategories and 86 codes. The results present a conceptual model for the implementation of the IoT in hospital supply chains including an explanation of the main research category, drivers, prerequisites and enablers, environmental and contextual conditions, challenges, technology implementation strategies, and results and outcomes.

Today’s global food supply chains are highly dispersed and complex. The adoption and effective utilization of information technology are likely to increase the efficiency of companies. Because of the broad variety of sensors that are currently accessible, the possibilities for Internet of Things (IoT) applications in the olive oil industry are almost limitless. Although previous studies have investigated the impact of the IoT on the performance of industries, this issue has yet to be explored in the olive oil industry. In this study we aimed to develop a new model to investigate the factors influencing supply chain improvement in olive oil companies. The model was used to evaluate the relationship between supply chain improvement and olive oil companies’ performance. Demand planning, manufacturing, transportation, customer service, warehousing, and inventory management were the main factors incorporated into the proposed model. Self-organizing map (SOM) clustering and decision trees were employed in the development of the method. The data were collected from respondents with knowledge related to integrating new technologies into the industry. The results demonstrated that IoT implementation in olive oil companies significantly improved their performance. Moreover, it was found that there was a positive relationship between supply chain improvements via IoT implementation in olive oil companies and their performance.

Purpose- In recent years, there has been a notable surge in the utilization of emerging technologies, notably the Internet of Things (IoT), within the realm of business operations. However, empirical evidence has underscored a disconcerting trend whereby a substantial majority, surpassing 70%, of IoT adoption initiatives falter when confronted with the rigors of real-world implementation. Given the profound implications of IoT in augmenting product quality, this study endeavors to scrutinize the extant body of knowledge concerning IoT integration within the domain of agricultural logistics operations. Furthermore, it aims to discern the pivotal determinants that exert influence over the successful assimilation of IoT within business operations, with particular emphasis on logistics. Design/Methodology/Approach- The research utilizes a thorough systematic review methodology coupled with a meta-synthesis approach. In order to identify and clarify the key factors that influence IoT implementation in logistics operations, the study is grounded in the Resource-Based View theory. It employs rigorous grounded theory coding procedures, supported by the analytical capabilities of MAXQDA software. Findings- The culmination of the meta-synthesis endeavor culminates in the conceptual representation of IoT adoption within the agricultural logistics domain. This representation is underpinned by the identification of three overarching macro categories/constructs, namely: (1) IoT Technology Adoption, encompassing facets such as IoT implementation requisites, ancillary technologies essential for IoT integration, impediments encountered in IoT implementation, and the multifaceted factors that influence IoT adoption; (2) IoT-Driven Logistics Management, encompassing IoT-based warehousing practices, governance-related considerations, and the environmental parameters entailed in IoT-enabled logistics; and (3) the Prospective Gains Encompassing IoT Deployment, incorporating the financial, economic, operational, and sociocultural ramifications ensuing from IoT integration. The findings underscore the imperative of comprehensively addressing these factors for the successful assimilation of IoT within agricultural logistics processes. Originality- The originality of this research study lies in its pioneering effort to proffer a conceptual framework that furnishes a comprehensive panorama of the determinants that underpin IoT adoption, thereby ensuring its efficacious implementation within the ambit of agricultural logistics operations. Practical Implications- The developed framework, by bestowing upon stakeholders an incisive comprehension of the multifaceted factors that steer IoT adoption, holds the potential to streamline the IoT integration process. Moreover, it affords an avenue for harnessing the full spectrum of IoT-derived benefits within the intricate milieu of agricultural logistics operations.

The implementation of IoT (Internet of Things) technologies in the pharma supply chain is improving medication management, as well as enabling secure monitoring of drug safety and resource allocation. Supply chains need to be streamlined so that patients will continue to have access to essential medicines, public health campaigns will have support, the quality of medications will be ensured, and costs will be minimized. The use of connective IoT technologies such as track-an- -trace systems, temperature monitors, and predictive maintenance are poised to disrupt the pharmaceutical space. These technologies are used to ensure the stability of drugs, monitor environmental conditions, and help detect equipment issues before they impact operations. IoT technologies bring innovation to make drug safety and quality assurance better via quickly detecting false drugs, actionable track-and-trace systems, and the integration of anti-counterfeiting elements. Proper storage conditions are determined by controlling the temperature, humidity, and light, which maintains the integrity of the medication, whereas adhering to regulatory standards, which are called Good Manufacturing Practices (GMP), governs the quality of the medication. The above-mentioned data-driven insights through analytics form the basis of the effective use of the data generated through the Internet of Things for supply chain optimization, quality control, and drug development. Predictive analytics equips businesses with accurate demand forecasting, efficient inventory management, and more informed strategic decision-making. Interoperability between IoT devices, data security, and partnerships in the supply chain remains a challenge. Regulatory aspects include FDA guidance, HIPAA compliance, and compliance processes for various international standards, such as ISO certifications. Although IoT implementation is accompanied by substantial initial investment, cost savings from streamlined processes, improved drug safety, and improved patient access outweigh initial IoT implementation costs in the long term. Future directions involve leveraging IoT for personalized medicine, expanding real-time data analytics, and advancing supply chain integration, positioning IoT as a transformative force in healthcare delivery and the pharmaceutical industry.

Leading industrialists in auto manufacturing have made recent, widely-publicised efforts to support Narendra Modi's ‘Make in India’ initiative, which aims to attract new Foreign Direct Investment (FDI) in Indian manufacturing as the basis for income growth, employment creation and rising prosperity (GoI, 2016; 2016a). For example, India's second Automotive Mission Plan ( AMP-2 ), co-produced by the Society of Indian Automobile Manufacturers (SIAM), aims ‘to propel the Indian automotive industry to be the engine of the “Make in India” program’ (SIAM/GoI, 2015: 3). CEOs of several global auto manufacturers have visited India during Modi's premiership to reiterate their commitment to Indian manufacturing. High profile examples include Suzuki, Toyota, Hyundai, Renault-Nissan and Ford. Maruti Suzuki India Limited (MSIL) chairman, R.C. Bhargava, has argued that ‘nobody wants to miss the opportunity and the size. They don't see the kind of potential growth in any other market like in India’ (cited in Thakkar, 2017a). The scale and intensity of conflict in India's automotive industry presents a radically different side to this elite-driven narrative. Conflict in Indian auto manufacturing has taken many forms, manifesting at a workplace or enterprise-level, at an industry level through solidarity strike action and street protests, and at the level of social and political conflict. Various forms of industrial conflict, including strikes, employer lockouts, factory occupations and hunger strikes, have increased in frequency since the 1990s. During this period, a gradual process of economic liberalisation has culminated in the opening up of all domestic auto manufacturing to FDI, and the removal of residual restrictions on the investment activities of industrialists – domestic and foreign. Since the mid-1990s, most of the world's leading global automotive lead firms – known as Original Equipment Manufacturers (OEMs) – and their strategic partners and key components suppliers have established operations in different regions of India. This process of liberalisation, investment, relocation and industrialisation has profoundly shaped the development of Indian regions. It has given rise to new industrial zones and reshaped established ones. Auto manufacturing transplants have resulted in a rise in infrastructure development through road and rail-building, commercial and residential construction and construction of shopping malls to cater for a growing minority of middle-to-high income residents

The Internet of Things (IoT) is the next generation of internet-connected information communication technologies (ICT). IoT typically integrates supply chain activities to enhance green supply chain performance (GSCP). Since every organization has different IoT capabilities in comparison with other organizations, GSCP can enable supply chain integration activities for enhanced performance. The implementation of an IoT system can reduce the consumption of organizational resources like energy, electricity, and time and can increase the operational speed to gain better logistics and, ultimately, improved supply chain performance. This study has developed and empirically tested the relationship between IoT capabilities, energy consumption behavior (ECB), supply chain integration, green training (GT), and supply chain practices. Such a multidisciplinary relationship has not previously been established in the literature. The proposed study can fulfill the literature gap and opens new horizons for interdisciplinary research. Data used in this study are collected through offline and online survey methods. A total number of 250 out of 400 respondents participated in the survey. Data has been analyzed through partial least square—structure equation modeling (PLS—SEM) technique. The results of this study empirically test the developed model. IoT has a positive effect on supplier integration (SI), and customer integration (CI). Furthermore, SI and CI have a mediating role between IoT and GSCP, and GT has a positive impact on GSCP. It is concluded that the implementation of IoT can integrate CI and SI to increase GSCP. GT and ECB can ultimately improve GSCP. Additionally, the use of technology and GT can motivate employees to save energy and protect the environment to increase GSCP.

Academic and industrial research on digital technology has been quite thorough. Nevertheless, scant information exists regarding the supply chain implementation of digital technology in industrial companies. To better understand supply chains, this article will look at why and how manufacturing companies are implementing digital technology. The goal of this paper’s literature analysis is to pinpoint current studies and perspectives on how these technologies could help digital supply chains (DSCs) operate better, faster, and more efficiently. The investigation looks at the technologies’ directions and challenges in improving the efficiency of digital help confinement, in addition to underlining their significance for supply chains and logistics. It investigates the managerial and practical issues in developing a new integrated paradigm for digital supply chains. Also, possible obstacles to DSCs and procurement will be examined, along with solutions. Consequently, this study pinpoints multiple opportunities for adding value when implementing Internet of Things (IoT) in the supply chain using mobile technology. Additionally, it suggests a method for creating business models for supply chain algorithms.

In the increasingly advanced digital era, the Internet of Things (IoT) has become a key element in industrial transformation, especially in supply chain management information systems. This study aims to explore the implementation of IoT in improving the efficiency and effectiveness of the supply chain in the manufacturing sector. Using a literature review approach, this study identifies various IoT applications, such as sensor networks, Radio Frequency Identification (RFID) technology, and cloud computing that have made significant contributions to real-time data collection, asset tracking, and inventory management. The results of the study indicate that IoT implementation not only improves operational efficiency but also strengthens the competitiveness of companies through automation and artificial intelligence-based data analysis. IoT has been proven to optimize production processes, improve supply chain visibility, and reduce operational costs. However, challenges such as device interoperability, cybersecurity, and resistance to technological change are still major barriers to IoT adoption. This study also highlights the importance of collaboration between IoT solution providers, technology experts, and policy makers to create an ecosystem that supports innovation. The right implementation strategy, accompanied by comprehensive workforce training and a collaborative approach, are needed to maximize the potential of IoT.

One of the basic measures of the World Health Organization (WHO) in the fight against the COVID-19 pandemic is a lockdown policy with reduced contacts and physical distance. This presents a challenge, especially for fast-moving-consumer-goods (FMCG) supply chains, which are characterized by a large number of physical contacts between employees in production, physical distribution, wholesale, and retail. One of the ways to comply with the prescribed measures with the smooth functioning of the supply chain is the complete digitalization and automation of all business activities and operations based on the application of the Internet of Things (IoT). In this regard, this paper aims to analyze the setbacks to the digitalization of business processes and the sustainability of the FMCG supply chain based on the implementation of IoT. The research has been conducted among the participants in the standardization chain in the sectors of production, physical distribution, wholesale, and retail of FMCG in the Western Balkans region during the COVID-19 pandemic. The results showed significant differences between business sectors in terms of the intensity of setbacks to successful IoT implementation. Based on the obtained results, a set of measures and incentives was proposed that the competent institutions and the management of the FMCG supply chain should apply to encourage the digitalization process. Suggestions for future research are given in the paper.

An ISM approach for the barrier analysis in implementing green supply chain management

The marine logistics industry is the backbone of global trade, responsible for the transport of more than 90% of goods traded worldwide. However, the industry faces challenges in terms of improving efficiency, reducing costs, and ensuring supply chain security and visibility. The Internet of Things (IoT), which refers to a network of physical devices, vehicles, and other objects equipped with sensors, software, and internet connectivity, is emerging as a potential solution to address these issues. This research aims to explore the role and utilization of IoT in improving the performance of the marine logistics industry. The methodology used includes a comprehensive literature review, in-depth interviews with industry experts, and case study analyses of IoT implementations in marine logistics companies. The results revealed several opportunities and benefits from IoT implementation, such as real-time container and cargo tracking, efficient vessel fleet management, route optimization and logistics planning, and improved supply chain security and safety. However, IoT implementation also faces challenges related to data security, interoperability, investment costs, and regulation. This research provides in-depth insights into how IoT can be leveraged to optimize marine logistics operations and improve industry competitiveness, as well as recommended solutions to overcome the challenges faced.

Recently IoT, i.e., Internet of Things, is gaining importance for various fields; e-Healthcare is one of the IoT applications that can be used in developing different kinds of services like storage of data, managing resources, and power, creating and computing services, etc. Fog Computing and Cloud Computing play vital roles in critical data and IoT implementations. The extension of Cloud Computing i.e., termed Fog Computing; is suitable in IoT implementations in the real world in recent days. Fog Computing has been established to overcome the limitations relating to Cloud Computing and its implementations. In this paper, HeartFog, an intelligent real-time decision support system framework, based on appropriate analysis and IoT for the remote detection of cardiovascular disease, is proposed to enhance the accuracy in diagnosis with unexplained data. This proposed work is evaluated in terms of training accuracy, test accuracy, arbitration time, latency, execution time, and power consumption. This proposed work can be employed in the development of next-generation of IoT models and services. From the experiments, it is found to be a suitable framework for the instantaneous diagnosis of heart patients remotely.KeywordsFog computing (FC)Cloud computing (CC)Internet of things (IoT)Artificial neural network (ANN)e-HealthcareHeart disease

In today’s dynamic business landscape, Small and Medium-sized Enterprises (SMEs) encounter growing challenges in achieving sustainability. Logistics capabilities and supply chain performance play a crucial role in the strategic operations of SMEs, making the adoption of digital technology increasingly vital. However, despite its acknowledged importance in logistics and supply chain management, there is a lack of detailed understanding regarding how digital technology specifically impacts the sustainability of SMEs. This gap highlights the need for focused research into its influence on logistics capabilities, supply chain performance, and overall sustainability. To address this, the study utilized an explanatory single cross-sectional survey method for data collection, employing a stratified sampling technique to draw a sample of 230 participants. The findings revealed that logistics capabilities positively and significantly influence supply chain performance and the sustainability of SMEs. Moreover, digital technology was found to positively moderate the relationship between logistics capabilities and supply chain performance, as well as the relationship between logistics capabilities and sustainability. Based on these findings, the study recommended that organizations adopt advanced data analytics tools to maximize the potential of supply chain data, implement Internet of Things (IoT) technologies for real-time monitoring and enhanced visibility, and utilize cloud-based collaboration platforms to ensure seamless communication and information sharing among supply chain partners.