PurposeWhile the concept of supply chain responsiveness (SCR) has received considerable attention in the operations management literature, mostly under the auspices of concepts such as build‐to‐order, mass customisation, lean and agility, so far there is a lack of comprehensive definition of SCR, as well as a defined relationship between “responsiveness” and “flexibility”. Also, the frameworks at hand tend to consider only a subset of factors previously identified in the literature, and thus do not comprehensively portray the cause‐and‐effect relationships involved. This paper aims to address these gaps.Design/methodology/approachThe paper synthesises the existing contributions to manufacturing and supply chain flexibility and responsiveness, and draws on various related bodies of literature that affect a supply chain's responsiveness such as the discussion of product architecture and modularisation.FindingsFour types of responsiveness are identified: product, volume, mix, and delivery, all of which can relate to different time horizons, and can be present as either potential or demonstrated responsiveness. It is argued that a supply chain can feature different levels of responsiveness at different tiers, depending on the configuration of the individual nodes, as well as the integration thereof. Furthermore, a holistic framework is proposed, distinguishing between requiring and enabling factors for responsiveness, identifying the key relationships within and between these two categories.Research limitations/implicationsThe definition and framework proposed provide novel insights into the concept of SCR as well as a clear terminology that will inform future research. The framework developed in this paper is suitable for both qualitative and holistic quantitative studies.Originality/valueIn addition to a detailed review of the factors associated with SCR, a generic definition of responsiveness is developed. The paper proposes a definition of four types of responsiveness which will support further empirical studies into the concept and its application. Furthermore, a holistic framework is developed that allows for cause‐and‐effect relationships to be investigated and dependencies to be identified.

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PurposeThe purpose of this paper is twofold: first, to develop a typology of co‐located supplier clusters, such as logistics centres or supplier parks, and second, to evaluate the theoretical perspectives at hand to investigate the co‐location phenomenon.Design/methodology/approachThe research encompasses 28 semi‐structured interviews with key operations executives from vehicle manufacturers, component suppliers and logistics service providers at nine co‐located supplier clusters, the findings of which are triangulated with secondary sources.FindingsThe investigation yields two main findings: first, a typology is proposed based on two key dimensions “spatial integration and infrastructure” and “local value‐added”. From a theoretical perspective, the paper further concludes that transaction cost economics is less suited for studying dedicated co‐location, and suggests that future investigations should focus on consolidating the contributions on the spatial dimension of sourcing configurations into a novel theoretical framework.Research limitations/implicationsThe study is based on an exploratory research design, investigating a selected number of co‐located supplier clusters only. While the research does not claim to provide a comprehensive survey of co‐located supplier clusters, it proposes a general categorisation that aims to provide a structure currently lacking further research into this phenomenon.Originality/valueA structured overview of the phenomenon of co‐located supplier clusters is provided, extending the existing morphological debate. Furthermore, the discussion of their theoretical foundations provides novel insights into this phenomenon as well as into the operational implications of value chain modifications in general, with the intention of guiding further research in this area.

Manufacturing systems in many industries face the challenge of manufacturing products that are assembled from multi-variant components. Demand for these component variants is correlated, and often subjected to an overall capacity constraint (e.g. fixed production volumes in the final assembly plant). Therefore, the modelling of supply chain systems under multi-variant product conditions is conceptually difficult as the demands for the individual variants are not independent. Previous approaches to modelling supply chain systems have commonly dealt with this complication by either focusing on single-product multi-tier systems, or single-tier systems with multiple products. In this article, we propose a modelling approach capable of studying the responsiveness of multi-tier systems with correlated demands, which is used as the input for a simulation model. Based on the simulation outcomes, generic relationships between product variety, responsiveness and inventory levels in a supply chain system are derived; and a novel safety stock formula for such settings is developed.