Purpose: The purpose of this paper is to re-examine the extant research on last-mile logistics (LML) models and consider LML’s diverse roots in city logistics, home delivery and business-to-consumer distribution, and more recent developments within the e-commerce digital supply chain context. The review offers a structured approach to what is currently a disparate and fractured field in logistics.Design/methodology/approach: The systematic literature review examines the interface between e-commerce and LML. Following a protocol-driven methodology, combined with a “snowballing” technique, a total of 47 articles form the basis of the review.Findings: The literature analysis conceptualises the relationship between a broad set of contingency variables and operational characteristics of LML configuration (push-centric, pull-centric, and hybrid system) via a set of structural variables, which are captured in the form of a design framework. The authors propose four future research areas reflecting likely digital supply chain evolutions.Research limitations/implications: To circumvent subjective selection of articles for inclusion, all papers were assessed independently by two researchers and counterchecked with two independent logistics experts. Resulting classifications inform the development of future LML models.Practical implications: The design framework of this study provides practitioners insights on key contingency and structural variables and their interrelationships, as well as viable configuration options within given boundary conditions. The reformulated knowledge allows these prescriptive models to inform practitioners in their design of last-mile distribution.Social implications: Improved LML performance would have positive societal impacts in terms of service and resource efficiency.Originality/value: This paper provides the first comprehensive review on LML models in the modern e-commerce context. It synthesises knowledge of LML models and provides insights on current trends and future research directions.

This discussion paper aims to set out the key challenges and opportunities emerging from distributed manufacturing (DM). We begin by describing the concept, available definitions and consider its evolution where recent production technology developments (such as additive and continuous production process technologies), digitisation together with infrastructural developments (in terms of IoT and big data) provide new opportunities. To further explore the evolving nature of DM, the authors, each of whom are involved in specific applications of DM research, examine through an expert panel workshop environment emerging DM applications involving new production and supporting infrastructural technologies. This paper presents these generalisable findings on DM challenges and opportunities in terms of products, enabling production technologies and the impact on the wider production and industrial system. Industry structure and location of activities are examined in terms of the democratising impact on participating network actors. The paper concludes with a discussion on the changing nature of manufacturing as a result of DM, from the traditional centralised, large-scale, long lead-time forecast-driven production operations to a new DM paradigm where manufacturing is a decentralised, autonomous near end user-driven activity. A forward research agenda is proposed that considers the impact of DM on the industrial and urban landscape.

Purpose: Supply chains evolve and change in size, shape and configuration, and in how they are coordinated, controlled and managed. Some supply chains are mature and relatively unchanging. Some are subject to significant change. New supply chains may emerge and evolve for a variety of reasons. The purpose of this paper is to examine the nature of supply chain evolution and address the question “What makes a supply chain like it is?”Design/methodology/approach: The paper analyses and develops key aspects, concepts and principal themes concerning the emergence and evolution of supply chains over their lifecycle.Findings: The paper defines the supply chain lifecycle and identifies six factors that interact and may affect a supply chain over its lifecycle – technology and innovation, economics, markets and competition, policy and regulation, procurement and sourcing, supply chain strategies and re-engineering. A number of emergent themes and propositions on factors affecting a supply chain’s characteristics over its lifecycle are presented. The paper argues that a new science is needed to investigate and understand the supply chain lifecycle.Practical implications: Supply chains are critical for the world economy and essential for modern life. Understanding the supply chain lifecycle and how supply chains evolve provides new perspectives for contemporary supply chain design and management.Originality/value: The paper presents detailed analysis, critique and reflections from leading researchers on emerging, evolving and mature supply chains.

This research examines manufacturing reshoring from institutional, strategic and operations management perspectives. The multi-disciplinary approach is motivated by the active involvement of institutions in promoting reshoring activity, suggesting institutional factors can be significant in combination with the more traditional drivers of location decision considered in strategic and operations management. The synthesis of several literature domains enables a broader conceptualisation of the dynamics of reshoring. Anecdotal evidence of reshoring activity within industry has not been well evidenced in the extant literature. In this study, we consider emerging data-sets from the UK and France as they represent major developed-world manufacturing nations that have witnessed significant offshoring in recent decades, and where reshoring is now being actively promoted.

Purpose: Operational risks can cause considerable, atypical disturbances and impact food supply chain (SC) resilience. Indicatively, the COVID-19 pandemic caused significant disruptions in the UK food services as nationwide stockouts led to unprecedented discrepancies between retail and home-delivery supply capacity and demand. To this effect, this study aims to examine the emergence of digital platforms as an innovative instrument for food SC resilience in severe market disruptions. Design/methodology/approach: An interpretive multiple case-study approach was used to unravel how different generations of e-commerce food service providers, i.e. established and emergent, responded to the need for more resilient operations during the COVID-19 pandemic. Findings: SC disruption management for high-impact low-frequency events requires analysing four research elements: platformisation, structural variety, process flexibility and system resource efficiency. Established e-commerce food operators use partner onboarding and local waste valorisation to enhance resilience. Instead, emergent e-commerce food providers leverage localised rapid upscaling and product personalisation. Practical implications: Digital food platforms offer a highly customisable, multisided digital marketplace wherein platform members may aggregate product offerings and customers, thus sharing value throughout the network. Platform-induced disintermediation allows bidirectional flows of data and information among SC partners, ensuring compliance and safety in the food retail sector. Originality/value: The study contributes to the SC configuration and resilience literature by investigating the interrelationship among platformisation, structural variety, process flexibility and system resource efficiency for safe and resilient food provision within exogenously disrupted environments.

Purpose: The purpose of this paper is to investigate the interplay between configuration dimensions (network structure, network flow, relationship governance, and service architecture) of last-mile supply networks (LMSN) and the underlying mechanisms influencing omnichannel performance.Design/methodology/approach: Based on mixed-method design incorporating a multiple embedded case study, mapping, survey, and archival records, this research involved undertaking in-depth within- and cross-case analyses to examine seven LMSNs, employing a configuration approach.Findings: The existing literature in the operations management (OM) field was shown to provide limited understanding of LMSNs within the emerging omnichannel context. Case results suggest that particular configurations have intrinsic capabilities, and that these directly influence omnichannel performance. The study further proposes a taxonomy of LMSNs comprising six forms, with two hybrids, supporting the notion of equifinality in configuration theory. Propositions are developed to further explore interdependencies between configurational attributes, refining the relationship between LMSN types, and factors influencing omnichannel performance.Practical implications: The findings provide retailers with a set of design parameters for the (re)configuration of LMSNs and facilitate performance evaluation using the concept of fit between configurational attributes. The developed model sheds light on the consequential effects when certain configurational attributes are altered, preempting managerial attention. Given the global trend in urbanization, improved LMSN performance would have positive societal impacts in terms of service and resource efficiency.Originality/value: This is one of the first studies in the OM field to critically analyze LMSNs and their behaviors in omnichannel retailing. Additionally, the paper offers several important avenues for future research.