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Reports the results of a study carried out in Tanzanian public textile manufacturing firms. The purpose was to examine the roles performed by middle and senior managers to enable them to carry out their jobs efficiently and effectively. In addition, the study concentrated on manufacturing management practices and the relationship between managers and subordinates (employees). It was found that middle managers have more practical vision for the future than top (senior) managers. The majority of middle managers, though they perform strategic functions in the organization, do not have as much influence to effect changes as do top managers However, current fundamental problems need to be at least partly solved before any particular management technique can be expected to work well. Where management techniques are applied, they need to start with basic information and reporting before any more advanced methods can be introduced. Proposes recommendations to alleviate some of the problems.

Benchmarking to improve strategic manufacturing management seems to be a logical extension to benchmarking to improve operating system performance. This assumption is, however, untested. The research objective for this study was to learn how to benchmark the strategic manufacturing management process. The experiences of a consortium of non‐competing firms struggling with the problems of benchmarking implementation constitute the base data for this research. The study has found that inappropriate choices of key manufacturing performance indicators were made by 50 per cent of the business units studied and this is because of poor strategic vision for manufacturing operations. Also evidence was found to show that 70 per cent of the firms studied needed a better understanding of their own processes before they could benefit from benchmarking other organizations.

In the last decade, cloud manufacturing (CMfg) has attracted considerable attention from academia and industry worldwide. It is widely accepted that the design and analysis of cloud manufacturing architecture (CMfg-A) are the basis for developing and applying CMfg systems. However, in existing studies, analysis of the status, development process and internal characteristics of CMfg-A is lacking, hindering an understanding of the research hotspots and development trends of CMfg-A. Meanwhile, effective guidance is lacking on the construction of superior CMfg-As. The purpose of this paper is to review the relevant research on CMfg-A via identification of the main layers, elements, relationships, structure and functions of CMfg-A to provide valuable information to scholars and practitioners for further research on key CMfg-A technologies and the construction of CMfg systems with superior performance.

This study systematically reviews the relevant research on CMfg-A across transformation process to internal characteristics by integrating quantitative and qualitative methods. First, the split and reorganization method is used to recognize the main layers of CMfg-A. Then, the transformation process of six main layers is analysed through retrospective analysis, and the similarities and differences in CMfg-A are obtained. Subsequently, based on systematic theory, the elements, relationships, structure and functions of CMfg-A are inductively studied. A 3D printing architecture design case is conducted to discuss the weakness of the previous architecture and demonstrate how to improve it. Finally, the primary current trends and future opportunities are presented.

By analyzing the transformation process of CMfg-A, this study finds that CMfg-A resources are developing from tangible resources into intangible resources and intelligent resources. CMfg-A technology is developing from traditional cloud computing-based technology towards advanced manufacturing technology, and CMfg-A application scope is gradually expanding from traditional manufacturing industry to emerging manufacturing industry. In addition, by analyzing the elements, relationships, structure and functions of CMfg-A, this study finds that CMfg-A is undergoing a new generation of transformation, with trends of integrated development, intelligent development, innovative development and green development. Case study shows that the analysis of the development trend and internal characteristics of the architecture facilitates the design of a more effective architecture.

This paper predominantly focuses on journal articles and some key conference papers published in English and Chinese. The reason for considering Chinese articles is that CMfg was proposed by the Chinese and a lot of Chinese CMfg-A articles have been published in recent years. CMfg is suitable for the development of China’s manufacturing industry because of China’s intelligent manufacturing environment. It is believed that this research has reached a reliable comprehensiveness that can help scholars and practitioners establish new research directions and evaluate their work in CMfg-A.

Prior studies ignore the identification and analysis of development process and internal characteristics for the current development of CMfg-A, including the main layers identification of different CMfg-As and the transformation process analysis of these main layers, and in-depth analysis of the inner essence of CMfg-A (such as its elements, relationships, structure and functions). This study addresses these limitations and provides a comprehensive literature review.

Examines Just‐in‐Time (JIT) from its evolution as a Japanese concept through to a review of its philosophy and implementation. Cites several techniques of implementation. Includes a review of the early work of various researchers and practitioners. Concludes that JIT is a very effective manufacturing philosophy which is universal in nature encompassing all aspects of manufacturing. Suggests a few deficiencies in current literature.

The purpose of this paper is to provide practitioners of management with a sense of how collaborative team integration processes were required in order to be reasonably successful in attaining the required manufacturability goals. It aims to accomplish this by investigating: the role of team collaborative efforts in high‐technology projects associated with comparing aggressiveness towards and actual achievement on meeting time targets and manufacturing costs; the moderating effects of project‐team autonomy and control issues; and management involvement and top management support activities.

A review of the applied literature on collaborative team integration processes of manufacturers and direct suppliers of the smart card and automatic identification and data capture (AIDC)‐related industry in the USA was conducted. Only project managers and/or their designees were asked to complete the survey. The results of two mailings netted a total of 180 usable questionnaires out of an original sampling frame of 311 (response rate of appropriately 58 percent, with some missing data on a number of variables).

The paper finds that especially the variables of product acceleration, technological uncertainty, complexity, and product newness are traditionally outside the immediate control of the firm's project managers. The team integration variables, as measured by the factor scores of top management. manufacturing involvement, collaborative working environment, and supplier influence, offered the most explained variance in the present study.

By understanding the variety of team performance and integration constructs in high technology‐intensive and manufacturing environments, management may be able to take the steps to become more sensitive to the roles of not isolating team members and being able to relinquish control at the appropriate times in order to enhance manufacturability.

The rapid pace of internet products and web‐enabled services, especially in the high‐technology manufacturing industries, presents new strategic management issues to be addressed in project management. Understanding the many issues associated with project team management and integration within new‐product development/new‐product manufacturability processes may ultimately decrease the cost and promote timely introduction of beneficial commercial developments, if properly managed.

Editorial This special issue of Industrial Management & Data Systems is a huge departure from our usual journal/ monograph style. This is an additional issue to the year's volume — a bonus in fact.

This research aims to specialise in the investigation of risk management for service-oriented manufacturing supply chains via two stages, highlighting its differences from manufacturing. The research article is commenced by executing an encyclopedic review of earlier research to ascertain the distinctive traits of service-oriented manufacturing supply chains and identify prevalent risks. Secondly, an empirical study in the construction field, amongst the industry hardest struck in the mist of the COVID-19 epidemic, is conducted to thoroughly inspect the resonant effect of these risks on service-oriented manufacturing supply chain performance.

In this study, to validate the resonant effect mechanism, a thorough assessment is undertaken by juxtaposing theoretical model to a newly constructed comparative model that encompasses the single effects of risks on supply chain performance.

63% variance of service-oriented manufacturing supply chain performance was showcased by the resonant effect model, compared with 46.3% in the comparative model. Moreover, each risk exerts a more glaringly significant impact on supply chain performance, asserting the mechanism of the resonant influence. Another noteworthy result involves the demand risk possessing a low effect on supply chain performance, thus emphasising the superiority of service-oriented manufacturing supply chains.

Future research endeavours should hinge on the optimal “resonant” model explosion, thereby foreseeing and alleviating worst-case scenarios to guarantee the robustness and resilience of supply chain networks.

Indubitably, reducing the intensity of the resonant effect revolves around lowering the coefficient of “a,” thereby restricting/eliminating the link among risks. Therefore, the suggested resonant impact model might thus serve as “a road map”. In light of the aforementioned considerations, it is advisable that supply chain executives employ supply chain management tactics namely avoidance, prediction, and postponement, but only after meticulous consideration the costs and benefits of adopting such strategies.

The service-oriented manufacturing supply chain features and advantages have been analysed and explained throughout the article. The data gathered during the COVID-19 pandemic is a captivating and topical point of this paper.

The purpose of this research is to establish a conceptual model to understand the impact of Total Productive Maintenance (TPM) and Industry 4.0 (I4.0) on the transition of a Circular Economy (CE). Also, the paper explores the combined impact of TPM, I4.0 and CE on the sustainability performance (SP) of manufacturing firms.

The conceptual model is proposed using the dynamic capability view (DCV) and empirically validated by partial least squares-structural equation modelling (PLS-SEM) using 304 responses from Indian manufacturing firms.

The results suggest that I4.0 positively impacts TPM, CE and SP, also showing TPM's positive impact on CE and SP. In addition, CE has a positive influence on the SP of manufacturing firms. Furthermore, CE partially mediates the relationship between I4.0 and SP with TPM and SP. The study also identifies TPM, I4.0 and CE as a new bundle of dynamic capabilities to deliver SP in manufacturing firms.

The present research adds to the knowledge and literature on DCV by identifying the importance of CE in the settings of I4.0 and TPM, especially in the context of sustainability. Also, the current study offers a new set of dynamic capabilities and provides some significant future recommendations for researchers and practitioners.

Claims that failure to integrate productivity in total quality management (TQM) projects leads to ineffectiveness in management of manufacturing systems. Establishes a generalized manufacturing systems model based on the analysis of the results of literature and industrial surveys. Explores the need to adopt the strategic management approach to develop a productivity management model that could integrate with the existing successful quality management model. Identifies the conceptual and strategical elements of productivity and models them under the name “strategic productivity management” (SPM). Describes the pilot study carried out to validate SPM and explores the future direction of work.

This study aims to explore the importance and impact of supply and manufacturing risk management upon business performance within the context of Chinese manufacturing supply chains.

A two-phased multi-method approach was adopted, which included a survey questionnaire to practitioners in Chinese manufacturing supply chains followed by semi-structured interviews. The findings included 103 valid survey responses complemented by six semi-structured interviews.

The results indicate that in Chinese manufacturing context supply risk and manufacturing risk management are both vital for business performance. A high correlation between business and manufacturing risk management performance exists; however, no significant impact of supplier dependency, systematic purchasing, maturity of production and supply chain and human resources was found despite previously these elements being regarded as key influencers for supply and manufacturing risk management performance. The Chinese manufacturing supply chain indicated that elements such as the supplier and customer orientation, flexibility, manufacturing and supply risk highly connotes with business performance.

In the current unpredictable and volatile business environment, the competitiveness of manufacturing supply chains to a large extent depend on their ability to identify, assess and manage the manufacturing and supply risks. The findings of this study will assist supply chain managers in taking decision on manufacturing and supply risk management and reducing the uncertainty upon their business performance.

The supply chain risk has been widely explored within the context of individual case studies, or standalone models focusing on either supply or manufacturing risk in supply chains; however, to what extent this has been applicable to a wider context and its impact upon business process has not been explored. Hence, this study simultaneously has analysed manufacturing risk and supply risk and its impact upon Chinese manufacturing supply chains business performance. Moreover, this study uses a combination of quantitative and qualitative methods, which is often limited in this area. Finally, the institutional theory lens offers novel insights in better understanding the factors that can affect the impact of supply and manufacturing risk management upon business performance in those contexts, such as China, where the institutional aspect presents specific features.