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Multiple assembly sequences can increase the flexibility of assembly systems and consequently lead to better performance. The relationship between multiple assembly sequences and their impact on the performance of assembly systems are studied. Based on the concept of operation flexibility, this paper presents a flexibility measure to evaluate each operation sequence. A flexibility‐based criterion is proposed to prioritize each operation, which is then used to guide the assembly scheduling. A simulation study demonstrates that when using the criterion, higher system flexibility is achieved and consequently better performance of the assembly systems is obtained.

This paper seeks to evaluate the implications of operations flexibility in industrial supply chains and the effect it has on supporting initiatives designed for build‐to‐order (BTO) manufacturing.

An industrial case study is used to investigate operations flexibility and its impact on industrial supply chains. Tools used in the analysis include value stream mapping (VSM) and a scorecard for performance measurement. The scorecard tool comprises daily utilisation figures, product demand and responsiveness measures such as supply chain cycle times and pipeline inventory.

The results of the analysis confirm that supply chain VSM and scorecarding are effective tools that can be used to measure the performance of supply chains through the identification of inefficiencies associated with supply chain integration/design. The analysis shows the duration of value‐adding and non‐value adding activities in the entire chain. Also, the analysis has revealed the close relationship between operations flexibility and the supply chain flexibility dimensions of people and information systems.

The research presented analyses the operations and the supply chain of one industrial case study. The analysis does not cover the life cycle of the products mentioned in the study.

The study addresses the need, in the manufacturing industry, for tools that can be used in the analysis of manufacturing operations and supply chains, ultimately providing guidelines that can be used in the design of policies focused on performance improvement.

BTO initiatives are growing in importance in the manufacturing industry. The flexibility of operations and the supply chain are closely related to the concept of BTO in manufacturing.

This short paper seeks to explain why the original paper “The flexibility of manufacturing systems” was written (1987), and attempts to examine at least some of the flexibility literature that has followed.

The approach is a review and observations about the 1987 work.

The original paper treated flexibility in an exclusively manufacturing context. Even in the mid‐1980s one could argue that this was a mistake. If flexibility is an important concept in operations management, it should be explored in all types of operation, not just in manufacturing. Now, more than 80 per cent of economic activity and employment occurs in non‐manufacturing enterprises. Flexibility is no different from most other topics in operations in that it is unreasonably skewed towards the manufacturing sector, it would nevertheless benefit from more empirical and conceptual work in the context of service operations.

Provides a useful update on an author's findings from two decades ago.

The purpose of this paper is to present a systematic review of flexibility, to identify the gaps in theory and to propose a future research agenda.

This paper combines a systematic review and thematic analysis of scholarly articles of flexibility. The articles are analyzed to explicate the dynamics of flexibility in service operations. Thematic analysis was done using NVIVO 10.0 to identify key approaches, trends and future research agenda.

The review reveals ten different themes that highlight the future research avenues and points out that an integrative framework to assess the field of flexibility, particularly in developing countries, is largely missing in the literature. The study also provides a set of research questions to enhance its explanatory power.

Articles that explicitly mention “flexibility” were only included, however, there may be several unexploited areas regarding the influence of different variables on flexibility. The study is based on the inductive analysis of 650 published articles on flexibility retrieved from the electronic database. The framework proposed in the study is conceptual and requires empirical testing in future research.

The study synthesizes the flexibility literature and contributes to a set of ten distinct themes that extricate the dynamics of flexibility. The study provides a comprehensive review of the relevant articles and identifies the theoretical gaps in the research area of service operations flexibility that can be used by academia and industry for promoting flexibility.

This paper focuses on understanding the contribution of Industry 4.0 technologies to manufacturing flexibility.

A multiple-case study was conducted through interviews and complementary data from 12 adopters of Industry 4.0 technologies from the industrial sector. To enable a broad perspective, cases from 5 industry sectors with different technological intensity levels were studied.

The findings show that Industry 4.0 technologies are mostly used to improve machine flexibility since there is a major focus on technological approaches rather than on wider flexibility. The results also showed that cloud services, IoT, and data analytics provide the basis for flexible operation, and collaborative robots, ERP/MES/PLM, AGVs, and traceability devices are the most commonly implemented technologies for flexibility. However, inherent contingency factors such as production complexity and product life cycle need to be considered.

This article expands the research on manufacturing flexibility, considering new capabilities introduced by Industry 4.0.

The recent shift towards accommodating flexibility in manufacturing companies and the complexity resulting from product variety highlight the significance of flexible assembly systems and designing products for them. The purpose of this paper is to provide insight into the requirements of a flexible assembly system for product design from the assembly system’s standpoint.

To fulfil the purpose of the paper, a literature review and a case study were performed. The case study was conducted with an interactive research approach in a global market leader company within the heavy vehicle manufacturing industry.

The findings indicate that common assembly sequence, similar assembly interfaces, and common parts are the main requirements of a flexible assembly system for product design which reduce complexity and facilitate various flexibility dimensions. Accordingly, a model is proposed to broaden the understanding of these requirements from the assembly system’s standpoint.

This study contributes to the overlapping research area of flexible assembly systems and product design.

The proposed model is largely based on practical data and clarifies the role of product design in facilitating flexibility in an assembly system. It can be used by assembly managers, assembly engineers, and product designers.

The key originality of this paper compared to the previous studies lies in presenting a novel assembly-oriented design model. The model enhances understanding of a flexible assembly system’s requirements for product design with regard to reducing complexity and managing variation in a flexible assembly system. These requirements can be applied to product design across various product families within a company’s product portfolio.

Flexibility is a fundamental performance objective for manufacturing operations, allowing them to respond to changing requirements in uncertain and competitive global markets. Additive manufacturing machines are often described as “flexible,” but there is no detailed understanding of such flexibility in an operations management context. The purpose of this paper is to examine flexibility from a manufacturing systems perspective, demonstrating the different competencies that can be achieved and the factors that can inhibit these in commercial practice.

This study extends existing flexibility theory in the context of an industrial additive manufacturing system through an investigation of 12 case studies, covering a range of sectors, product volumes, and technologies. Drawing upon multiple sources, this research takes a manufacturing systems perspective that recognizes the multitude of different resources that, together with individual industrial additive manufacturing machines, contribute to the satisfaction of demand.

The results show that the manufacturing system can achieve seven distinct internal flexibility competencies. This ability was shown to enable six out of seven external flexibility capabilities identified in the literature. Through a categorical assessment the extent to which each competency can be achieved is identified, supported by a detailed explanation of the enablers and inhibitors of flexibility for industrial additive manufacturing systems.

Additive manufacturing is widely expected to make an important contribution to future manufacturing, yet relevant management research is scant and the flexibility term is often ambiguously used. This research contributes the first detailed examination of flexibility for industrial additive manufacturing systems.

The purpose of this study is to explore the effect of operations strategy (cost, quality, flexibility and delivery) and supply chain integration on innovation performance under influence of learning orientation.

Taking a quantitative and deductive approach, a conceptual framework was developed and tested by analyzing data gathered through survey questionnaire from 243 UK manufacturing firms using structural equation modeling.

The findings show that learning orientation influences operations strategy and supply chain integration, but it does not have a direct impact on innovation performance. Additionally, quality and flexibility strategies affect innovation performance and supply chain integration positively, while cost and delivery strategies do not have a significant effect on these variables.

Operations strategy types (cost, quality, flexibility and delivery) were studied as distinct variables, whereas supply chain integration also has several dimensions but that has not been investigated separately in the present research. The findings are also based on limited 243 responses from UK manufacturing firms.

Innovation performance of manufacturing firms can be improved through a more integrated supply chain if managers embody flexibility and quality capabilities in their operations and become learning oriented.

The effect of supply chain integration on innovation performance and learning orientation on supply chain integration and operations strategy types have not been fully explored in literature. Also, having all four operations strategy types in a direct relation to supply chain integration and innovation performance is another original aspect of the current study.

The purpose of this paper is to investigate the relationships between employee competencies, information technology (IT) applications, operations strategy, and business performance.

Drawing upon the resource‐based theory, this study employs a path analytic framework to investigate how employee competencies and IT applications influence the development of competitive operations strategies and business performance for a sample of retail firms in China.

The findings indicate significant and positive relationships between employee competencies and operations strategy (e.g. low cost, quality and flexibility). IT applications also play a vital role in helping retailers pursue a flexibility strategy. The operations strategies of low cost and flexibility in turn influence business performance.

This study seems to be the first in investigating the impacts of employee competencies and IT applications on operations strategy and performance in the service sector, especially in the Chinese context.

Examines two differing manufacturing operations and characterizes their manufacturing planning and control (MPC) systems. The primary concern of this categorization analysis is to examine the similarities and differences between the flexibilities inherent in each operation′s MPC system. One company has a system which is primarily a push‐based system, the other largely a pull‐based system. Examines different categories of flexibility in terms of both range flexibility (how far the system can cope with the change) and response flexibility (how fast the system can cope with change). The major conclusion is that pull‐based systems have flexibility characteristics which are characterized by relatively clearly thought‐out discontinuities in their range response curves.