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The purpose of this paper is to recognise the key manufacturing challenges currently facing UK manufacturing industry and to further identify the Key Developmental Areas (KDAs) (which includes technologies, systems and paradigms) which need to be developed and employed in order to ensure manufacturing firms in the UK become economically sustainable and are able to operate effectively in a global competitive market. The aim of the paper is to provide a benchmark for UK manufacturing industry to work from, after which future measuring instruments could be employed to track whether companies are meeting these challenges.

A survey into 100 UK manufacturing companies provides the basis for the identification of the challenges and KDAs. The findings from the survey are analysed against information obtained from existing strategy reports and foresight papers/studies to reach a point where the authors identify a balanced set of challenges and developmental areas obtained from this mixed research approach.

Through a comprehensive academic and industrial study, the authors identify and propose nine key manufacturing challenges for UK manufacturing industry to consider. Furthermore, the authors also identify a number of the KDAs which could be used to assist companies in meeting these challenges. The KDAs are not meant to be exhaustive but aimed to provide the underpinning support to the challenges proposed.

The paper proposes a set of key manufacturing challenges for UK manufacturing businesses to consider and apply appropriate technologies and systems to achieve business resilience. This paper will therefore be of benefit to the academic community in that it distils a wide range of academic theory and industrial practice in order to create a coherent body of knowledge. As with any survey work, the accuracy of information depends largely on the size of the survey. Whilst 100 companies were surveyed, a further extension to this number would always help to strengthen future research.

The identification of these key manufacturing challenges and their corresponding technologies, systems and paradigms is aimed at providing a new manufacturing perspective to both academics and industrialists. The challenges and developmental areas proposed provide the basis for a new and advanced manufacturing strategy to be developed for UK companies which aims to create economically sustainable manufacturing organisations.

Circular economy denotes future sustainability that allows optimum utilization of resources. In the present era of technology, plenty of innovations are happening across the world, and digital manufacturing is one of such innovations. However, there are several barriers which are impeding adoption of digital manufacturing in circular economy environment. The study explores the barriers of digital manufacturing initiatives in a circular economy and develops a methodological model to prioritize the identified challenges for automotive parts manufacturing industry.

Seven categories of challenges namely process, human resources, financial, collaboration, technological, security and leadership challenges were identified from literature and further validated with subsequent discussions with experts from the industry. The study is conducted in two phases, where in the first phase, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique is used to define the priority and importance of seven categories of challenges. In second phase, the barriers are ranked using a Fuzzy Performance Important Index (FPII), taking into account contextual factors associated with the challenges and linked barriers, to determine the extent to which they impede the adoption of digital manufacturing in the sample automotive parts manufacturing company.

The “risk of data security and information privacy in connection with use of external data and protecting customer data” appeared as the most significant barrier to digital manufacturing in circular economy. Furthermore, technological challenges emerged as the most significant category of challenges followed by financial challenges in adoption of digital manufacturing in circular economy.

Identification of the identified barriers and understanding the interrelationships will lead to easier adoption of digital manufacturing in circular economy.

Despite all the potential benefits of implementing Industry 4.0 technologies in manufacturing industries, the adoption thereof is still in nascent phase with significant challenges yet to be overcome to accelerate the pace of adoption. Hence, this study explores the barriers preventing companies from adopting and benefiting from digital manufacturing initiatives and further develops a methodological model.

Smart manufacturing is revolutionizing the manufacturing industry by shifting the focus from traditional manufacturing to a more intelligent, interconnected and responsive system. Despite being the backbone of the economy and despite the government’s efforts in supporting and encouraging the transformation to smart manufacturing, small and medium enterprises (SMEs) have been struggling to transform their operations. This study aims to identify the challenges for SMEs’ transformation and the benefits they can get from this transformation, following a systematic review of existing literature.

A systematic review of existing literature has been performed to identify the peer-reviewed journal articles that focus on smart manufacturing for SMEs. First, a comprehensive list of keywords relevant to the review questions are identified. Second, Scopus and Web of Science databases were then used to search for articles, applying filters for English language and peer-reviewed status. Third, after manually assessing abstracts for relevance, 175 articles are considered for further review and analysis.

The benefits and challenges of SMEs’ transformation to smart manufacturing are identified. The identified challenges are categorized using the Smart Industry Readiness Index (SIRI) framework. Further, to address the identified challenges and initiate the SME’s transition toward smart manufacturing, a framework has been proposed that shows how SMEs can start their transition with minimum investment and existing resources.

Several studies have concentrated on understanding how smart manufacturing enhances sustainability, productivity and preventive maintenance. However, there is a lack of studies comprehensively analyzing the challenges for smart manufacturing adoption for SMEs. The originality of this study lies in identifying the challenges and benefits of smart manufacturing transformation and proposing a framework as a roadmap for SMEs' smart manufacturing adoption.

A literature review within the manufacturing strategy (MS) discipline with a focus on thematic developments is provided. Based on recent studies, a set of challenges posed to manufacturing enterprise of the future are summarized, and thematic areas are analyzed in relation to meeting those challenges. The paper aims to discuss these issues.

Based on a select set of 506 articles published in top-ranked refereed international journals in the discipline of operations management, major and subthemes are identified and the publication trends in these themes are provided with time and across geographical regions, namely: North America, Europe, and other parts of the world.

MS literature is predominantly focussed on the economic objectives of firms without a due focus on the social and environmental perspectives. MS literature covers 11 major thematic areas, namely: MS components and paradigms, manufacturing capabilities (MCs), strategic choices (SCs), best practices (BPs), the strategy process (SP), supply-chain management (SCM), performance measurement, transnational comparisons, global manufacturing, environmental/green manufacturing, and literature reviews. The research in two areas – SCs, and MCs – has been in decline, while the research in BPs, the SP, and transnational comparisons is growing (in absolute figures). Various research opportunities for future studies are identified.

The literature review is limited in its selection of articles and journals, however, the identified trends clarify the state of research by the MS research community at large.

For researchers, multiple new research directions are identified in order to advance knowledge in the field of MS. The publication trends also highlight thematic areas where most of the MS body of knowledge is currently available and can be utilized by practitioners.

The paper’s novelty comes from: first, a broader and deeper review of thematic areas that has not been researched before, second, trends in thematic areas by time, across geographical regions, and including time-region dyads, and third, coverage provided by MS literature in meeting challenges posed to manufacturing enterprise of the future.

The purpose of this paper is to describe challenges the manufacturing industry is currently facing when developing future assembly information systems. More specific, this paper focuses on the handling of assembly information from manufacturing engineering to the shop floor operators.

Multiple case studies have been conducted within one case company between 2014 and 2017. To broaden the perspective, interviews with additionally 17 large and global manufacturing companies and 3 industry experts have been held. Semi-structured interviews have been the main data collection method alongside observations and web questionnaires.

Six focus areas have been defined which address important challenges in the manufacturing industry. For manual assembly intense manufacturing company, challenges such as IT challenges, process challenges, assembly process disturbances, information availability, technology and process control, and assembly work instructions have been identified and hinder implementation of Industry 4.0 (I4.0).

This longitudinal study provides a current state analysis of the challenges the manufacturing industry is facing when handling assembly information. Despite the vast amount of initiatives within I4.0 and digitalization, this paper argues that the manufacturing industry needs to address the six defined focus areas to become more flexible and prepared for the transition toward a digitalized manufacturing industry.

One of the achievements of the fourth industrial revolution is smart manufacturing, a manufacturing system based on Industry 4.0 technologies that will increase systems' reliability, efficiency and productivity. Despite the many benefits, some barriers obstruct the implementation of this manufacturing system. This study aims to analyze these barriers.

One of the measures that must be taken is to identify and try to remove these barriers, which involves identifying the stakeholders and components of technology associated with each barrier. As such, the primary purpose of this paper is to present a systematic literature review in the field of smart manufacturing with a focus on barriers to implementation related to the stakeholders and components of technology.

This research conducted a systematic literature review in Scopus and Web of Science databases and considered the studies published until 2021 were examined. The central question of this paper is answered based on this literature review, in which 133 related studies and 15 barriers were identified.

The significant gap observed in the literature review is that no research has been conducted to determine the stakeholders and components of technology related to the barriers, making it a potentially worthwhile subject for future research. In addition, the results of this study may help managers to implement smart manufacturing.

This study provides two main originalities. The former is helpful information for managers to make effective decisions when they face smart manufacturing barriers. The latter is related to identifying critical research gaps through systematic literature review.

With ever-increasing global concerns over environmental degradation and resource scarcity, the need for sustainable manufacturing (SM) practices has become paramount. Industry 5.0 (I5.0), the latest paradigm in the industrial revolution, emphasizes the integration of advanced technologies with human capabilities to achieve sustainable and socially responsible production systems. This paper aims to provide a comprehensive analysis of the role of I5.0 in enabling SM. Furthermore, the review discusses the integration of sustainable practices into the core of I5.0.

The systematic literature review (SLR) method is adopted to: explore the understanding of I5.0 and SM; understand the role of I5.0 in addressing sustainability challenges, including resource optimization, waste reduction, energy efficiency and ethical considerations and propose a framework for effective implementation of the I5.0 concept in manufacturing enterprises.

The concept of I5.0 represents a progressive step forward from previous industrial revolutions, emphasizing the integration of advanced technologies with a focus on sustainability. I5.0 offers opportunities to optimize resource usage and minimize environmental impact. Through the integration of automation, artificial intelligence (AI) and big data analytics (BDA), manufacturers can enhance process efficiency, reduce waste and implement proactive sustainability measures. By embracing I5.0 and incorporating SM practices, industries can move towards a more resource-efficient, environmentally friendly and socially responsible manufacturing paradigm.

The findings presented in this article have several implications including the changing role of the workforce, skills requirements and the need for ethical considerations for SM, highlighting the need for interdisciplinary collaborations, policy support and stakeholder engagement to realize its full potential.

This article aims to stand on an unbiased assessment to ascertain the landscape occupied by the role of I5.0 in driving sustainability in the manufacturing sector. In addition, the proposed framework will serve as a basis for the effective implementation of I5.0 for SM.

The challenges facing industrial enterprises include coping with an increased distribution of activities and the related need to deal with task interdependencies, as well as coping with uncertainty and complexity. This opens for a discussion of current thinking and practices of manufacturing and its strategic role. The aim of the paper is to explore future changes in strategic roles of manufacturing.

A review of the literature on manufacturing strategy has focused on different ways of positioning manufacturing as a means for identifying and defining the strategic roles of manufacturing in an industrial company. To understand how industrial companies have dealt with some of the global challenges and have changed their strategic roles of manufacturing over a period of 3‐7 years, interviews are carried out in six small and medium‐sized companies, representing different industries, such as textile, mechanical and electronic industries. The case stories form a basis for identifying issues for future manufacturing strategic roles in the form of research propositions and implications.

The literature review has resulted in a grouping of the strategic roles of manufacturing. The first group of contributions relates directly to the extent and selected objectives of manufacturing contribution to competitive advantage. The second group positions a company in a value chain or a supply chain. The third way of classifying strategic roles focuses on the mutual interplay between functions leading to a primary role and four supporting roles. The fourth classification identifies different roles that a plant can play in a network of manufacturing plants of a company. To a large extent, the groups are mutually exclusive which suggests that an industrial company may use several classifications to find a configuration of strategic manufacturing roles that is in line with the environmental challenges and internal strength. The empirical findings form a basis for developing research propositions about the roles of manufacturing in the future: an important issue for an industrial firm will be to combine the various typologies into a configuration of strategic manufacturing roles; the strategic roles of manufacturing supporting other functions will become increasingly important, emphasizing the importance of strengthening the interplay with other functions and development of holistic competencies and knowledge sharing across functions and disciplines; a company's development over the next years may be seen as a sequence of moves similar to a game of chess, suggesting a capability to develop scenarios for the next series of moves.

The paper suggests that management of industrial companies: develops a combination of classifications of manufacturing roles appropriate for the company's specific situation; identifies supportive strategic roles of manufacturing leading to explicit focus on the interplay with other functions and strengthening of holistic competencies and knowledge sharing across functions and disciplines; views the pursuit of a global manufacturing strategy as a series of adaptive moves, instead of a once‐for‐all decision.

The findings open for a discussion of current thinking and practice of manufacturing and its strategic roles pointing to a new perception of manufacturing and to future challenges and development patterns.

The challenges of digital transformation (DT) have gained attention from both academics and practitioners, as more manufacturing companies are seeking digital technology implementation. This study, therefore, aims to identify the challenges of DT in manufacturing companies and propose new research directions.

A systematic literature review considering 176 articles (published between 2003 and 2019) was used to build a conceptual framework of DT.

A systematized view of challenges regarding organizational commitment, value creation, value proposition, value delivery, value capture, information and technology infrastructure and data security were identified. Moreover, a conceptual framework was developed to summarize the challenges and how they are associated with the business model value architecture and with the DT phases. Research opportunities for future research were also identified, contributing to the advancement of the topic.

First, the study provides a categorization of the main challenges of DT in manufacturing companies. Second, it identifies research gaps and future research avenues; and finally, it proposes a conceptual framework that aims to support more rigorous studies and guide management decisions regarding an integrative understanding of DT.

The research explores the shift to Quality 4.0, examining the move towards a data-focussed transformation within organizational frameworks. This transition is characterized by incorporating Industry 4.0 technological innovations into existing quality management frameworks, signifying a significant evolution in quality control systems. Despite the evident advantages, the practical deployment in the Indian manufacturing sector encounters various obstacles. This research is dedicated to a thorough examination of these impediments. It is structured around a set of pivotal research questions: First, it seeks to identify the key barriers that impede the adoption of Quality 4.0. Second, it aims to elucidate these barriers' interrelations and mutual dependencies. Thirdly, the research prioritizes these barriers in terms of their significance to the adoption process. Finally, it contemplates the ramifications of these priorities for the strategic advancement of manufacturing practices and the development of informed policies. By answering these questions, the research provides a detailed understanding of the challenges faced. It offers actionable insights for practitioners and policymakers implementing Quality 4.0 in the Indian manufacturing sector.

Employing Interpretive Structural Modelling and Matrix Impact of Cross Multiplication Applied to Classification, the authors probe the interdependencies amongst fourteen identified barriers inhibiting Quality 4.0 adoption. These barriers were categorized according to their driving power and dependence, providing a richer understanding of the dynamic obstacles within the Technology–Organization–Environment (TOE) framework.

The study results highlight the lack of Quality 4.0 standards and Big Data Analytics (BDA) tools as fundamental obstacles to integrating Quality 4.0 within the Indian manufacturing sector. Additionally, the study results contravene dominant academic narratives, suggesting that the cumulative impact of organizational barriers is marginal, contrary to theoretical postulations emphasizing their central significance in Quality 4.0 assimilation.

This research provides concrete strategies, such as developing a collaborative platform for sharing best practices in Quality 4.0 standards, which fosters a synergistic relationship between organizations and policymakers, for instance, by creating a joint task force, comprised of industry leaders and regulatory bodies, dedicated to formulating and disseminating comprehensive guidelines for Quality 4.0 adoption. This initiative could lead to establishing industry-wide standards, benefiting from the pooled expertise of diverse stakeholders. Additionally, the study underscores the necessity for robust, standardized Big Data Analytics tools specifically designed to meet the Quality 4.0 criteria, which can be developed through public-private partnerships. These tools would facilitate the seamless integration of Quality 4.0 processes, demonstrating a direct route for overcoming the barriers of inadequate standards.

This research delineates specific obstacles to Quality 4.0 adoption by applying the TOE framework, detailing how these barriers interact with and influence each other, particularly highlighting the previously overlooked environmental factors. The analysis reveals a critical interdependence between “lack of standards for Quality 4.0” and “lack of standardized BDA tools and solutions,” providing nuanced insights into their conjoined effect on stalling progress in this field. Moreover, the study contributes to the theoretical body of knowledge by mapping out these novel impediments, offering a more comprehensive understanding of the challenges faced in adopting Quality 4.0.