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The Palgrave Handbook of Supply Chain and Disruptive Technologies

  • 2025
  • Buch
Herausgegeben von
Nachiappan Subramanian
Yasanur Kayikci
Atanu Chaudhuri
Michael Bourlakis
Verlag
Springer Nature Switzerland
Enthalten in
Springer Professional "Wirtschaft+Technik"
Springer Professional "Technik"
Springer Professional "Wirtschaft"
insite
SUCHEN

Über dieses Buch

Disruptive technologies are revolutionising the supply chain landscape, driving innovation, and unlocking unprecedented value to achieve radical growth and operational excellence. This comprehensive handbook delves into the cutting-edge research and dynamic debates surrounding the development of digital capabilities. It explores how emerging technologies such as blockchain, big data analytics, cloud computing, artificial intelligence, drones, autonomous vehicles, 5G, and more are reshaping the industry. By harnessing these technologies, organisations can fully capitalise on their transformative potential, paving the way for a future of enhanced efficiency, agility, and competitive advantage.

International experts contributing to this book provide in-depth examinations of emerging design practices, the integration of user experience and incremental customisation, and the technological interventions bridging build-to-model and conventional manufacturing. They also explore innovative practices in interactive design for product use and assess capabilities through the dynamic interaction between individuals and organisational structures. This comprehensive exploration offers invaluable insights into the future of supply chain digitalisation, making it an essential resource for achieving operational excellence and radical growth.

This handbook will be of immense interest to a diverse audience, including academics and students in Business and Management, Logistics and Supply Chain Management, Operations Management, Technology Management, and Information Management. Additionally, it will captivate stakeholders, managers, and practitioners in these fields. By offering cutting-edge insights and practical guidance, this volume serves as an indispensable resource for anyone seeking to navigate and excel in the rapidly evolving landscape of supply chain digitalization.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Mapping the Supply Chain with Disruptive Technologies: Parts and Overview
Abstract
Emerging and disruptive technologies are revolutionizing supply chains, driving radical growth and operational excellence. Developing robust digital capabilities is crucial to harness the potential of technologies like blockchain, big data analytics, cloud computing, AI, drones, autonomous vehicles, and 5G. These technologies transform key supply chain functions, enhancing value creation and efficiency. Smart supply chain functions include sensing, integration, intelligent analysis, optimization decisions, timely feedback, and automated error correction. These enable dynamic adaptation to evolving scenarios and disruptions. However, open questions remain, such as identifying key barriers, enablers, and capabilities for digitalization, determining the most valuable stages of digitalization, and implementing effective operating models (Björkhdahl et al., 2020). Addressing these is crucial for building resilient, future-ready supply chains. This handbook explores six core themes with 29 chapters: (I) Supply Chain digitalization: key barriers, enablers, and capabilities. (II) Technological effort vs value in digital supply chains. (III) Transformational model and process in digital supply chains. (IV) Digital design capabilities for various technologies in digital supply chains. (V) Digital manufacturing capabilities for emerging technologies in digital supply chains, and (VI) Digital delivery and use capabilities for emerging technologies in digital supply chains.
Nachiappan Subramanian, Yasanur Kayikci, Atanu Chaudhuri, Michael Bourlakis

Supply Chain Digitalization—Key Barriers, Enablers, and Capabilities

Frontmatter
Chapter 2. 3D Printing in Supply Chains—Benefits, Challenges, and Future Directions
Abstract
Three-dimensional (3D) printing is widely recognised as a disruptive technology with the potential to revolutionise the management of existing supply chains (SCs). This chapter explores the benefits and challenges associated with the implementation of 3D printing and evaluates its effect on SCs, encompassing the sourcing, production, distribution, and consumption of goods. A systematic literature review of academic journal articles pertaining to 3D printing, additive manufacturing and supply chain management was conducted and 139 articles were identified with relevant content. The research indicates that 3D printing offers significant benefits to SCs, including simplified and more flexible supply chain processes, shorter lead times by bringing manufacturing closer to consumers, opportunities for mass customisation benefits, and reduced carbon footprint. The main challenges of 3D printing in SCs are the new skills required for the new technology, the high cost of printers, and adaptation challenges of new supply chain structure. By synthesising the current research, this study has identified the 3D printing research trends and developed framework to conceptualise SC challenges and impacts of 3D printing manufacturing, which will assist 3D printing manufacturers to redesign their SCs within the new manufacturing set-up. It is envisaged that the research findings will significantly support advanced manufacturing to redesign their SC structure because of the disruptive impact of 3D printing.
Kamrul Ahsan, Shams Rahman
Chapter 3. The Role of IoT and Big Data in Supply Chain Processes
Abstract
Supply chain management stands at the crossroads of a digital revolution. In this era of interconnected devices and vast data reservoirs, the advent of the Internet of Things (IoT) and of Big Data (BD) have brought about transformative changes in supply chain management. Through an in-depth examination of key characteristics, enablers, and challenges, this chapter uncover how IoT and BD are revolutionizing the supply chain landscape. This chapter explores the applications of IoT and BD, highlighting the remarkable impact and benefits on supply chain processes. Real-world examples of organizations utilizing these technologies emphasize their added value, from optimizing inventory to enhancing food traceability. Nevertheless, the chapter looks at the technological challenges, including data quality, security, and governance issues. By navigating these complexities and strategically implementing IoT and BD solutions aligned with business objectives, organizations can gain a competitive edge in the dynamic world of supply chain management.
Walid Khalid Al Saad, Moayad Al Talib
Chapter 4. Disruptive Technologies and Sustainable Development Goals in Supply Chains
Abstract
Sustainability and green practices have become extremely important in the global world, and this is possible by considering the Sustainable Development Goals. This study examines disruptive technologies’ role in attaining Sustainable Development Goals in supply chains. To achieve these goals, first of all, the relations between disruptive technologies and the Sustainable Development Goals were examined by providing systematic approaches. Then, a conceptual framework was developed to assess how different disruptive technologies could deliver Sustainable Development Goals in supply chains and to determine the impact of Sustainable Development Goals on sustainability. This study is provided to evaluate the interrelations between Sustainable Development Goals impacts and Sustainable Development Goals and disruptive technologies in a systematic way. In conclusion, proposed digital technologies are crucial to deal with Sustainable Development Goals’ impacts on the supply chain.
Muruvvet Deniz Sezer, Melisa Özbiltekin-Pala, Yiğit Kazancoglu
Chapter 5. Digital Supply Chain Activities and Sustainable Performance—The Mediating Role of Supply Chain Capabilities
Abstract
The main purpose of this study is to investigate the mediating role of supply chain capabilities (SCCs) in the relationship between digital supply chain (DSC) activities and sustainable performance in Iranian manufacturing companies. For this purpose, 126 questionnaires completed by top managers and high-level employees of these companies examine. First, based on the extant literature, indicators of the research constructs were extracted. Then Exploratory and confirmatory factor analysis (EFA-CFA) were done to identify and confirm the structures, and structural equation modeling (PLS-SEM) was utilized to investigate the relationships. Finally, this chapter presents a conceptual framework for DSC activities, SCCs, and sustainable performance. The values obtained from the Sobel test for the mediating variable (Z-value = 6.73 and Z-value = 7.44) show that SCCs mediate the relationship between DSC activities and sustainable performance. The results provide a road map based on existing scenarios to enhance the sustainable performance of manufacturing companies.
Changiz Valmohammadi, Mahdieh Ahmad Amouei

Technological Effort vs. Value in Supply Chains

Frontmatter
Chapter 6. Procurement Digitalisation on International Procurement and Supply Chain Management Strategies
Abstract
This research investigates the impact of procurement digitalisation (PD) on international procurement and supply chain management (IPSCM) strategies in the international fast fashion sector. This study identifies key factors influencing this impact, challenges in implementation, good practices, the role of stakeholders, and recommendations to effectively manage digitalisation. A systematic literature review was conducted following established guidelines, including defining search terms, selecting databases, establishing inclusion/exclusion criteria, screening, quality appraisal, and data extraction. 60 academic sources were identified that were synthesised to address the research objectives. Key findings indicate that real-time data utilisation, sustainability, supply chain transparency, digital transformation, and data quality significantly influence the impact of PD on IPSCM strategies. Challenges include resistance to change, costs, cybersecurity concerns, and legacy system incompatibility. Good practices involve starting small, collaboration, change management, and continuous improvement. Stakeholders like suppliers and regulators are critical for successful implementation. Recommended actions emphasise strategic transformation, technology integration, stakeholder involvement, data-driven decisions, and roadmap development. The findings offer potentially valuable recommendations for fast fashion companies to effectively integrate procurement digital technologies into their IPSCM strategies. The research can also inform future studies on technological advancements shaping this sector.
Reuben Mathew Thomas, Farooq Habib, Syed Imran Ali, Anwar Haq, Sumesh Dadwal, Murtaza Khan
Chapter 7. Customer Switching Behaviour and the Adoption of Disruptive Technologies
Abstract
The present research aims to gain insights into B2B customers switching behaviour towards disruptive technology. The empirical findings indicate that B2B customer dissatisfaction and comparative economic value are significantly influenced on perceived preferences for disruptive technology. The study showed that user perceived preference for disruptive technology is a significant mediator between B2B customer dissatisfaction and switching behaviour; as well as between comparative economic value and B2B customer switching behaviour. Finally, social influence from other B2B partners is found a significant moderator in the proposed relationship between B2B customers’ dissatisfaction and switching behaviour, as well as between comparative economic value and B2B customer switching behaviour, and lastly with perceived preferences and switching behaviour. The study contributes to multiple facets: examining the expectation-(dis)confirmation theory (EDT) in technology post-purchase behaviour by applying dissatisfaction and comparison as the antecedents. Here, the study has also examined the expectation-(dis)confirmation theory (EDT) with social influence to understand how social influence impact expectations and to (dis) confirmation in technological disruption. Above all, the study provides some limitations, a future research agenda, and suggestions for managers in the B2B industry.
Mohammad Osman Gani, Muhammad Sabbir Rahman, Surajit Bag, Ebnat Jahan Chowdhury
Chapter 8. Chief Privacy Officer (CPO) Appointments in Digital Supply Chains—Antecedents and Financial Implications
Abstract
As data privacy is receiving increasing attention, firms appoint Chief Privacy Officers (CPO) to manage their customers’ data privacy. This study examines potential antecedents and the financial implications of CPO appointments to generate new insights into the phenomenon. Specifically, we collect data on 50 CPO appointments by U.S. firms between 2010 and 2019. We build a control group of non-CPO-announcing firms and examine the influence of factors related to data risks, media attention, and prior data breaches on the likelihood of a CPO appointment. Results suggest that firms with higher inherent data risks and higher media exposure are more likely to appoint a CPO. Having experienced prior data breaches decreases the likelihood. There is no direct positive stock market reaction. Our work provides new insights for managers and adds to the literature on operational risk and data privacy.
Christoph G. Schmidt
Chapter 9. Social Implications of Autonomous Vehicle (AV) Adoption in Supply Chains
Abstract
The advance of autonomous vehicles (AVs) shows great potential for improving supply chain (SC) operations and studies have been focussing on the economic and environmental sustainability performance of AV adoption. Social sustainability implications are highly relevant but have, by comparison, received less attention. This study makes several contributions in this context and advances the understanding of supply chain social sustainability (SCSS) in general by investigating social issues in a specific context. Specifically, this study explores the social implications of AV adoption in SCs and develops connections to established constructs in SCSS. By systematically reviewing 58 peer-reviewed papers, this study extracts and synthesises 13 positive and seven negative social impacts. These impacts are then organised within six SCSS indicators, thereby illustrating how key social sustainability categories are affected by AV adoption. Building on these insights, promising research directions that can further advance the understanding of SCSS are identified. This exploration of the social impacts of AV adoption contributes to the conceptualisation of SCSS, while the associated reflection and discussion may affect the social acceptance of AV adoption going forward. Finally, this study offers recommendations for businesses on how to better integrate AVs into daily operations while taking stakeholder societal needs into account and makes suggestions for legislative bodies on how to reflect current rules and develop better legislation for improved usage of AVs in SCs.
Chengzhen Gu, Hendrik Reefke, Nicky Yates, Banu Y. Ekren, Ismail Abushaikha
Chapter 10. The Impact of Digitalization on Firm-Level Innovation Performance During the Pandemic
Abstract
Supply chain digitalization has become a crucial strategy for firms as it allows businesses to harness the power of digital technologies to optimize their supply chain operations, improve efficiency, create new opportunities for innovation, and for sustainable development. COVID-19 pandemic has further emphasized the importance of supply chain digitalization, as it has disrupted global supply chains, resulting in significant challenges for businesses in terms of logistics, inventory management, workforce constraints, and demand forecasting. This study analyses the impact of digitalization on firm-level innovation performance during the pandemic. The results indicate that digital transformation spurs innovation. Furthermore, the government’s support for adopting digital technologies is an enabler of innovation performance.
Fatma Nur Karaman Kabadurmus, Marina Dabić

Transformational Models and Processes in Supply Chains

Frontmatter
Chapter 11. Deep Learning Applications in Inventory Management
Abstract
The emergence of artificial intelligence, deep learning, machine learning, and artificial neural networks is rapidly changing supply chain activities. These technologies are responsible for shifting the traditional inventory management system into an intelligent system. Inventory management is the most crucial part of any supply chain management. With the rise in complexities like frequently changing demands, inventory management uncertainty increases and distributes the entire supply chain. Challenges are mitigated by adopting Industry 4.0 technologies, such as deep learning and inventory management. Deep learning is the developing sub-field of artificial intelligence (also known as the sub-field of machine learning). The application of deep learning has shown great potential in inventory management. The deep learning models are responsible for developing an automated inventory management system, making the supply chain more efficient. This chapter discusses twelve deep learning applications for managing inventory for an effective supply chain. These applications are automating inventory inspections, reducing inventory costs, improving decision performances, reducing the bullwhip effect, minimizing the risk of ineffective inventory management, extracting inventory features, optimizing inventory management, reducing inaccurate forecasting, developing inventory policies for the dynamic environment, predicting and managing stock levels, providing real-time inventory information, and providing vision for autonomous cars, robots, and drones.
Laxmi Pandit Vishwakarma, Rajesh Kumar Singh
Chapter 12. Smart Farming, Smart Distribution, and Smart Retailing in Agri-Food Supply Chains
Abstract
A prominent trend in agri-food supply chains over the past two decades is the broad application of information and communication technology (ICT) in different stages of the chain. The increasing consumer demand—and the need for productivity and resource efficiency—have been the key drivers for adopting digital technologies. The need for traceability, safety, and security initiatives has also further stimulated digitalization along the food chains. However, the benefits of digitalization come with new challenges and issues. This chapter discusses the key characteristics of agri-food supply chains and how digital technologies can drive value for the sector. It also provides an overview of digital technologies applied in various stages of agri-food supply chains—from Smart Farming to Smart Retailing—and how these technologies enable the transition towards more sustainable and resilient food systems. The chapter concludes with the challenges for digitalization in the agri-food sector and—based on that—suggests several directions for future research.
Behzad Behdani
Chapter 13. Securing the Supply Chain with Blockchain and IoT
Abstract
Supply chain management is complex due to the involvement of multiple parties and diverse sources. It involves multiple suppliers, risk management, transportation, diverse skill sets, finance, and multiple agencies to control the product quality and timely delivery with the hope of satisfying the end customers without making any losses. It is very challenging to guarantee quality and maintain transparency, authenticity, fraud-free, and tamper-proof delivery when the supply chain involves multiple stakeholders and when the items are grown or sourced somewhere for global population consumption. So, this chapter aims to summarize the current knowledge, identify gaps, and synthesize results to provide insights on securely auditable supply chains. The work addresses security threats and their vulnerabilities in the supply chain and explores the choices for entrepreneurial strategies, and last-mile problems. In such a dynamic system, a securely automated Internet of Things coupled with blockchain technology can provide visibility of the condition of every item’s journey along the supply chain making the system’s processes auditable securely. The work evaluates the quality and relevance of secure auditability of the supply chain activities by exploring the steps involved to ensure its validity and reliability.
Jims Marchang, Solan Keishing, Yasanur Kayikci
Chapter 14. Industry 5.0 and the Future of Supply Chains
Abstract
Using automation and digital technologies, Industry 4.0 has significantly boosted productivity and efficiency in the production and supply chain processes over the last few years. However, despite remarkable economic advantages, excessive automation and digitalization have proven to cause several social-economic issues, such as concerns over replacing human operators and potential environmental challenges. The 5th Industrial Revolution, which is still emerging, aims to tackle these challenges by complementing the existing Industry 4.0 approach and redefining the role and contribution of industry to society. It also aims to re-evaluate how machines and humans can collaborate to create more value in an industrial setting. Grounded on the existing literature on Industry 5.0 and supply chain management, this chapter presents a conceptual framework to guide how supply chain design and operations can be aligned with the aims and requirements of Industry 5.0. This framework defines the primary dimensions and essential pillars of Supply Chain 5.0, as well as key enabling technologies for the transition towards Supply Chain 5.0. The chapter further discusses how this newly emerged concept relates to the existing concepts in the supply chain literature, the potential challenges companies may face, and accordingly, some primary research directions towards tackling those challenges.
Behzad Behdani

Digital Design Capabilities for Emerging Technologies in Supply Chains

Frontmatter
Chapter 15. Blockchain Capabilities for Food Supply Chain Traceability
Abstract
Food supply chain traceability from farm to fork is currently critical for each food structure. The traceability of food supply chains is the foundation of a sustainable production system. Nevertheless, traceability by itself does not validate the aforementioned assertions. In this regard, firms must purposefully identify their sustainability goals, implement proper data collecting and validation methodologies into their procedures, and select the correct technology to satisfy these demands. Blockchain technology, with its digital capabilities, is a potential solution for enabling traceability of the food supply chain system, overcoming difficulties, and increasing sustainability and resilience across the food system. This paper utilizes a systematic literature review and thematic analysis to establish traceability requirements throughout the food supply chain and show how blockchain capabilities enable the food supply chain to establish farm-to-fork traceability. Based on the findings, nine themes are found for food traceability requirements. Furthermore, the most mentioned three blockchain capabilities are visibility, smart contracts, and integration. The most mentioned first three FSC traceability requirements are logistics, provenance, and quality. When the interactions mentioned in the literature were analysed, the interaction of visibility and food logistics is the most mentioned interaction with 44%, and the second interaction is between visibility and provenance with 36%.
Yasanur Kayikci, Nazlican Gozacan
Chapter 16. Trust Design Framework in Blockchain-Enabled Supply Chains
Abstract
Blockchain is a distributed ledger technology widely discussed as an infrastructure with the potential to significantly increase transparency, efficiency, and, especially, trust between various partners in supply chain operations. However, how trust is achieved through blockchain technology in an ecosystem with heterogeneous parties and interests is currently under-researched. This paper uses an affordances lens to investigate perceived affordances of blockchain technology, which increase trust in supply chain operations, i.e., the potential for actions that stem from the relation of technical functionalities and supply chain parties’ perception thereof, eventually leading to trust. Trust-related affordances are extracted and condensed through a systematic literature review and clustered using a three-layered affordance framework. The framework allows the description of distinct technical, design, and business affordances that gradually build upon each other and open up idiosyncratic business opportunities along a supply chain. The framework guides practitioners and scholars to systematically identify and foster the perception of trust-related affordances in supply chain operations.
Nadine Ostern, Joelle Simonet, Nikolaus Obwegeser
Chapter 17. Blockchain and IoT Integration for Vaccine Supply Chain Trust and Traceability
Abstract
In globalized operations, one of the challenges that remains is the lengthy and complex nature of supply chains (SCs), which is standing in need of interactions between multiple entities, requiring the determination and creation of trustful relationships among them. Currently, disruptive technological solutions are becoming promising in terms of improving business processes and adding extra value to products and services. One of such is a blockchain technology (BCT), that is built on a decentralized logic and is believed to disrupt supply chain management with its immutability and tamper-proof features. The purpose of this study is to investigate the ability of a BCT and IoT-based solution in bringing trust to SCs. This study explores the potential visibility enhancement enabled by a combination of BCT and IoT throughout the SC involved in a sensitive product distribution, using vaccine distribution as a demonstrative example.
Ulpan Tokkozhina, Ana Lucia Martins, Joao C. Ferreira
Chapter 18. Trust Dimensions in Blockchain and Process Industries
Abstract
For some supply chains, the information flows between stakeholders are still manual, based on emails and paper exchanges that are kept in data silos. This research investigates how innovative technologies can improve the data flows in the milling industry, specifically in the flour supply chain. We explore whether adopting blockchain improves supply chain visibility, reduces operating costs, and increases collaboration and trust among supply chain partners. Using interactive research and participant observation as research methodology, we map the information flow between a miller and its buyers to replicate manual, paper-based information flows in a digital environment. Semi-structured interviews and process observations showed that blockchain technology provided visibility, automation, and reliability to the current manual, paper-based, and time-consuming information flows. We build theoretical knowledge on how blockchain, as an enabling technology, can provide a fairground to share data and consequently build trust. Managerial implications include guidelines for companies operating in comparable supply chains, specifically those in the food supply chain, in adopting blockchain primarily and other Industry 4.0 technologies. Future research could focus on building analytical models on immutable digitised information for forecasting and optimisation purposes and for process automation.
Fernando Santiago-Cajaraville, Emel Aktas, Stuart Bashford
Chapter 19. Social Media Engagement in Container Logistics
Abstract
This study aims to understand social media usage of container logistics and supply chain firms and their emerging roles during pandemic. It also explores the nature of the information disseminated by container logistics companies on social media during global lockdown. Using the relational concept of affordance theory, the study explores the relationship between actor and information technology artifact. It also examines the emerging enactment roles among the actors and their effects on what actors can do with the technology, and how different actors are using the same technology. The tweets of the global container logistics firms of Fortune-500 and Alphaliner-100 companies collected for the period, January 10, 2020, to April 30, 2020, for the analysis. It showed the emergence of affordances of Combat, Resolute, and Acknowledgment which give rise to Collective Engagement. It is also observed that the emotionally appealing tweets get more user attention. Further insights on actors’ behaviour were brought out using Miles and Snow strategic typology. The proposed study theoretically contributes to the theory of affordances and social media analytics.
Sonali Shankar, P. Vigneswara Ilavarasan

Digital Manufacturing Capabilities for Emerging Technologies in Supply Chains

Frontmatter
Chapter 20. Digitalization in Bioproduction—AI & Digital Twins for Process Optimization
Abstract
Food preservation is indispensable to retaining the desired food quality by extending shelf life. Lactic acid bacteria are outstanding to improve food safety and quality by reducing the pathogens using lactic acid and antimicrobial peptides including nisin, which is the only bacteriocin approved by the United States Food and Drug Administration (FDA) as a food additive. Large-scale bioproduction of the antimicrobial food additives under optimized conditions is essential in the food manufacturing industry. Therefore, researchers have dramatically focused to develop effective and integrated manufacturing methods for the food additives at an industrial scale. With the emergence of digital technology and machine learning methods, computational predictions have provided a significant reduction in the number of experimental conditions via the computational design and optimization of these conditions. The combined use of fundamental biotechnology concepts and artificial intelligence technologies has been discussed herein as a promising approach to open novel avenues for designing cost-effective and sustainable microbial production processes. Artificial intelligence is useful to build a digital twin of the bioproduction process and to make experiments in a cyber environment faster and cheaper than real. It is important to emphasize that this computational approach requires a relatively limited number of preliminary experiments by accurately predicting the combinations of optimal conditions. Thus, we presented a case study to demonstrate the potential of artificial intelligence technologies coupled with experimental approaches in the prediction of optimal growth conditions for efficient nisin production.
Muhammet Raşit Cesur, Zeynep Girgin Ersoy, Müberra Fatma Cesur, Ğarip Demir, Sedef Tunca
Chapter 21. Predictive Maintenance: Digital Twins in CNC Machine Failure Detection
Abstract
Equipment faults and machine failures can pose financial challenges for manufacturing organizations. To reduce or eliminate unexpected costs, it is essential to anticipate and address these failures. The utilization of Digital Twin (DT) technology is gaining momentum as a means to simulate system behaviour in the real world and identify unforeseen errors. This study aims to detect faults in Computer Numerical Control (CNC) machines, which are commonly used in manufacturing environments, using a DT approach. Regarding the methodology, the initial step involved data pre-processing processes. Subsequently, a DT model was developed and validated using real-time data. Machine learning techniques, specifically Artificial Neural Networks (ANN) and Support Vector Machines (SVM), were employed within the scope of the DT to detect step losses. In the second phase of the study, control charts were constructed using Statistical Quality Control (SQC) methods to characterize the faults. The algorithms used were assessed in terms of model generation speed and detection performance. The primary contribution of this study is the development of an executable DT capable of adapting to various CNC machines and robots.
Elif Cesur, Muhammet Raşit Cesur, Şeyma Duymaz
Chapter 22. Implementing Smart Production Through Lean Digitalization
Abstract
In today’s globalized market, value creation usually includes many companies in different locations contributing to manufacturing, transporting, storing, and distributing components and products. Having several participants along the value chain leads to an increased complexity of the whole production process and requires high coordination effort. A high transparency of the relevant processes requires (real-time) data on the production and distribution processes, the availability of resources, the customers’ needs, etc. to be acquired, stored, processed, evaluated and the results being provided at the necessary places. However, in many companies, digitalization is realized as a gradual process without having a holistic view on the processes. The digitalization of companies and the whole supply chain share similar priorities like efficiency gain and waste reduction with the Lean concept. For an efficient and effective data acquisition, we create an assessment logic for making the targets measurable and evaluating implementation possibilities, thereby following the lean principles: We provide methods for the operationalisation of operational performance indicators and provide a methodology to evaluate the expedient choice and realization of data acquisition-specific lean practices to achieve the identified goals. The approach allows to prioritize and implement ways for lean data acquisition as enabler for supply chain digitalization.
Ralph Riedel, Susanne Franke
Chapter 23. Additive Manufacturing and Industry 4.0: A Path to Digital Transformation
Abstract
The concept of “Industry 4.0” (I4.0) refers to a technologically driven manufacturing paradigm in which increased automation connects the cyber and physical realms. Following the emergence of I4.0, manufacturing organizations have gradually adopted an array of digital technologies, one of which is Additive Manufacturing (AM). AM is unquestionably at the forefront of the next great industrial transformation, which has the capacity to fundamentally alter the current manufacturing business model. This study conducted a comprehensive literature review to enumerate the current research landscape of I4.0 technologies and their synergistic integration with AM. It focused on crucial AM process parameters, examining their potential implications using emerging technologies. A framework has been established to integrate the diverse technologies and processes associated with I4.0 with AM in a way that optimises advantages and mitigates obstacles. Additionally, it identified and deliberated on research gaps, providing guidance for future research endeavours.
Bikash Rath, Ramakrushna Padhy, Debashish Jena

Digital Delivery and Use Capabilities for Emerging Technologies in Supply Chains

Frontmatter
Chapter 24. The Role of UAV Automation in Inbound Logistics and Warehousing
Abstract
Unmanned aerial vehicles (UAVs) are powered pilotless aerial vehicles that may be operated remotely or autonomously and employ aerodynamic forces to create vehicle lift. With the help of technological advances and growing industry and research awareness, the use and integration of UAVs have grown in popularity in a variety of supply chain processes in terms of their affordability, ease of use, and control. Because these technologies automate operations such as inventory tracking, stock counting, and data collecting, they may be utilized in warehouse and inventory management to increase operational efficiency and remove human participation and mistakes. In addition, these technologies can lower human error rates, increase inventory accuracy, save costs, and time, and improve operational effectiveness. The main aim of this book chapter is to provide a complete assessment and discussion of why businesses should incorporate UAVs into their warehouse management. As a result, the purpose, advantages, contribution, and best practices of UAVs in warehouse operations were explored and recommendations were outlined for future applications.
Cisem Lafci, Yalcin Berberoglu, Yasanur Kayikci
Chapter 25. The Physical Internet and Sustainable Urban Logistics
Abstract
Urban logistics operations have become more complex and problematic for cities. The last mile delivery situation, driven by the growth in e-commerce purchases, is creating congestion and sustainability problems that cities must address if they are to meet the expectations of their citizens for a socially enjoyable and sustainable living space. This chapter explores the potential restructuring of how cities manage their infrastructure to achieve these objectives. Building on the fact that cities have increasingly built intelligence into their infrastructures through the installation of sensors, the chapter proposes using the example of the digital Internet to model and manage the various physical flows that arise in a modern city. In particular, the chapter outlines how the concept of the Physical Internet might be applied to urban logistics and last mile delivery operations to realize greater efficiency and effectiveness in these operations, thus reducing social and environmental impacts as well as costs.
Rod Franklin, Gero Niemann, Malte Spanuth
Chapter 26. Blockchain for Hydrogen Supply Chain Optimization
Abstract
The integration of Blockchain Technology (BCT) into the Hydrogen Supply Chain (HSC) is of paramount importance, as it not only strengthens the infrastructure against inefficiencies but also establishes a foundation of trust and transparency critical for the large-scale adoption of hydrogen as a clean energy source. This study explores the role of blockchain technology in enhancing the HSC for sustainable energy. It suggests blockchain can simplify and secure the supply chain, making hydrogen a more prominent part of our energy solutions. The research identifies how blockchain’s features, like smart contracts, could improve efficiency and reduce costs. Through examining case studies, the study reveals how blockchain integration can tackle industry challenges. In summary, the research positions blockchain as key to advancing a sustainable hydrogen economy and driving the energy sector towards a greener future.
Muhammad Huzaifa Najmi, Sharfuddin Ahmed Khan, Yasanur Kayikci
Chapter 27. Late Last Mile Delivery in a Physical Internet Enabled Context
Abstract
In last mile delivery logistics, the high uncertainty of the urban environment arises from traffic congestion, limited parking availability, and handover uncertainty that are found to cause significant delays and inefficiencies. To assist addressing these challenges, a parcel reshuffling algorithm is proposed, that aligns with the principles of the Physical Internet and can be deployed as a collaborative tool. An independent platform receives delivery status updates, from one or more operators, that are analyzed to identify collaboration options between vans dynamically. The proposed algorithm functions in four steps to: (1) identify suitable help candidate vehicles from the delivery rounds operating in proximity, (2) once the optimal help van is identified, reshuffle the parcels to assist the late running van, (3) identify a meeting point for exchanging the parcels, and (4) reroute both vans through the meeting point, and all the pending delivery locations. The algorithm is applied in a case study, in central Madrid, Spain utilizing a dataset provided by EU funded research project PLANET.
Konstantinos Zavitsas, Gerasimos Kouloumbis
Chapter 28. Revolutionizing Last-Mile Delivery: Discovering Disruptive Technologies and Innovative Solutions
Abstract
The importance of last-mile delivery (LMD) performance for customer satisfaction has increased dramatically due to the significant demand surge in online shopping with the COVID-19 pandemic. To satisfy the increased customer expectations for faster, more convenient, more transparent, and cheaper deliveries, many LMD providers started to invest in new technologies and adopt new delivery vehicles and distribution strategies. This research presents a comprehensive examination of new disruptive technologies and strategies, including AI/ML, Big Data Analytics, Physical Internet, Blockchain, Digital Twins, IoT, 3D printing, AR/VR, low/zero emission, and autonomous vehicles, microhubs, and mobile parcel lockers, in LMD operations. We critically review their state-of-the-art applications, outline future directions, and discuss potential barriers to implementing these technologies to improve LMD performance.
Ozgur Kabadurmus, Yasanur Kayikci, Fatma Nur Karaman Kabadurmus

Conclusion

Frontmatter
Chapter 29. Disruptive Technology and Supply Chain: Final Thoughts and Future Research Directions
Abstract
This chapter provides a summary of the challenges associated with emerging and exponential technologies in supply chains, while also identifying key research avenues within each domain. It begins by examining recent trends and the contextual challenges of integrating disruptive technologies into various supply chain processes. Additionally, it outlines future research directions to guide readers in their academic and practical exploration. Key areas of interest include the application of 3D printing in reverse supply chains, the role of drones in intermodal logistics, the deployment of autonomous vehicles and robots, advancements in autonomous guided vehicles (AGVs) and autonomous mobile robots (AMRs), the impact of blockchain on SME supply chains, the potential of the Internet of Things (IoT) for smart replenishment, and the use of augmented and virtual reality in supply chain operations. Furthermore, the chapter discusses the transformative role of artificial intelligence (AI) and machine learning in optimizing supply chain efficiency. By addressing these themes, this chapter serves as a foundation for future research and practical advancements in the field.
Nachiappan Subramanian, Yasanur Kayikci, Atanu Chaudhuri, Michael Bourlakis
Backmatter
Titel
The Palgrave Handbook of Supply Chain and Disruptive Technologies
Herausgegeben von
Nachiappan Subramanian
Yasanur Kayikci
Atanu Chaudhuri
Michael Bourlakis
Copyright-Jahr
2025
Electronic ISBN
978-3-031-90210-9
Print ISBN
978-3-031-90209-3
DOI
https://doi.org/10.1007/978-3-031-90210-9

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