Designing a ‘concept of operations’ architecture for next-generation multi-organisational service networks

Networked service organisations are increasingly adopting a ‘smarter networking’ philosophy in their design of more agile and customer-focused supply models. Changing consumer behaviours and the emergence of transformative technologies—industry 4.0, artificial intelligence, big data analytics, the Internet of Things—are driving a series of innovations, in terms of ‘products’ and business models, with major implications for the industrial enterprise, in their design of more ‘digitalised’ supply chains. For B2B systems, emerging ‘product-service’ offerings are requiring greater visibility, alignment and integration across an increasingly complex network of multiple partners and collaborators, in order to deliver a better service and customer ‘experience’. To support the design and operation of these multi-organisational service networks, we outline a concept of operations architecture here, underpinned by the literature and network theory, and demonstrate application using a series of exemplar case studies. Focusing on relational elements and the processes key to network integration within service supply networks, the cases inform a set of operating principles and protocols—applicable to all stakeholders ‘cooperating’, within a ‘shared’ environment. Equally critical is to understand how digital technologies may influence future operating philosophies. This article extends our theoretical understanding of network organisations, from a traditional ‘product’ perspective to that of ‘services’, and presents the case for developing a common, unified approach to designing diverse forms of multi-partner service networks.This is the final version of the article. It first appeared from Springer via https://doi.org/ 10.1007/s00146-016-0664-

Examining the anatomy of last-mile distribution in e-commerce omnichannel retailing: A supply network configuration approach

PurposeThe 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/approachBased 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.FindingsThe 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 implicationsThe 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/valueThis 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.</jats:sec

Consumer-driven e-commerce: A literature review, design framework, and research agenda on last-mile logistics models

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. </jats:sec

Digital technologies towards resource efficiency in the agrifood sector: Key challenges in developing countries

Resource efficiency in the agri-food sector is a global urgent issue considering the urbanisation phenomena, the increased nutritional needs, and the emergence of diversified dietary norms. Despite the ongoing progress in digital technologies that could enable resource-efficient operations in the sector, their effectiveness—even in developed countries—remains debateable mainly due to the limited understanding that further impedes their adoption by farmers. Among others, ease of access, training, and engagement with digital technologies appears to be challenging for most stakeholders, especially during the production (farming) stage. Specifically, in developing countries, that often encounter major natural resources challenges, the diverse socio-cultural background of the farmers hinders the adoption of digital technologies to perform highly automated and efficient agricultural operations for ensuring sustainability output. In this regard, we explore publicly available data sources (i.e., institutional reports, databases) to identify key challenges in adopting digital technologies for efficient resource use from a systems-level perspective. Thereafter, we map the determinant factors using the System Dynamics methodology in order to identify areas of interventions to limit natural resources’ appropriation and support agri-food sustainability.This research has received funding from the BBSRC under Reference No. BB/P027970/1, Project Title: “Transforming India’s Green Revolution by Research and Empowerment for Sustainable food Supplies”

Characteristics of redistributed manufacturing systems: a comparative study of emerging industry supply networks

This paper explores the characteristics of redistributed manufacturing systems within the context of emerging industry supply networks (EI SNs), with a particular focus on their structure, operations and reconfiguration dynamics. A number of factors have resulted in the redistribution of manufacturing. Within Emerging Industries, advances in process and information technologies, have changed the physical and information characteristics of components and products, and the viable production economies of scale. Further, the emergence of new specialised companies fulfilling key research, production or service roles have changed industry structure and operations, and the conventional model of value creation. Six industrial systems are examined using an Industrial System mapping methodology providing a basis for cross-case analysis, selected on the basis of representing alternative and novel evolution paths that may provide insights into the characteristics of EI SNs within a redistributed manufacturing context. Cross-case analysis suggests several generic aspects to EI SNs, including the blurring of traditional industry boundaries and the critical requirement to manage uncertainty. Alternative forms of EI SNs are observed supporting particular EI evolution paths. Further, more adaptive SNs support increased product variety, with lower inventory models enabled by enhanced production and distribution flexibility, often located closer to demand.The authors would like to acknowledge UK Research Council EPSRC, the industrial collaborators who provided access to their organisations, and their supply network, industrial and institutional partners.This is the author accepted manuscript. The final version is available from Taylor & Francis via http://dx.doi.org/10.1080/00207543.2016.121476

Blue water footprint management in a UK poultry supply chain under environmental regulatory constraints

Chicken is the most consumed meat in the UK, accounting for 40% of meat consumption, while national production sufficiency reaches about 80%. As a farm animal product, chicken meat is responsible for significant freshwater appropriation volumes during its production cycle. In this context, this research aims at exploring freshwater dynamics in the UK processed poultry industry. Specifically, we develop a System Dynamics model to capture the blue water footprint, as key sustainability performance indicator of a poultry supply chain, in case relevant environmental and regulatory constraints are applied. The model contributes towards investigating the impact of two potential policy-making scenarios, namely the "water penalty" and the "water tax", on the nexus between profitability and water usage across the poultry supply chain. Responding to the regulatory constraints, the food processor either reconfigures the supply chain through rethinking desired inventory levels or implements a water management intervention. The results indicate that investing in water-friendly production technologies could offer a greater advantage to sustainable supply chains in terms of blue water efficiency and profitability compared to employing inventory management strategies. Overall, our analysis highlights that effective policy-making and technology-driven interventions could provide potential towards ensuring economic growth and environmental sustainability of the UK poultry sector

Evaluating the potential for the continuous processing of pharmaceutical products-a supply network perspective

This paper presents an approach to evaluating the potential supply chain benefits of adopting continuous processing technologies for a diverse set of pharmaceutical products. The approach integrates upstream ‘continuous’ processing considerations for the production of active ingredients and final product formulation, with the downstream implications for packing and distribution. Currently, these upstream and downstream operations largely operate as decoupled operations with independent coordination and governance mechanisms, and the approach presented in this paper identifies opportunities for more case-specific integrated end-to-end supply chains enabled by continuous flow technologies. Three specific product (and corresponding processing technology) case studies are used to demonstrate the utility of the approach in assessing the supply network and system integration opportunities that emerge from the continuous processing of pharmaceutical products.We would like to acknowledge the support from the UK’s EPSRC Centre for Innovative Manufacturing in Continuous Manufacturing and Crystallisation, and the Advanced Manufacturing Supply Chain Initiative (AMSCI) programme Remedies Project.This is the author accepted manuscript. The final version is available from Elsevier via http://dx.doi.org/10.1016/j.cep.2015.07.01

Understanding stages of supply network emergence in technology commercialisation

This research explores different 'modes' of supply network emergence that may exist in the process of technology commercialisation, and examines how key actors and enterprises design and re-configure their emerging and existing networks. A generic 'stages' model to better understand supply network evolution - in the context of emerging technologies - is developed, based on existing commercialisation case studies, and underpinned by industrial emergence and network theory. The aims of the model are two-fold, namely, to extend theoretical understanding of 'stages' and 'emergence' from a traditional technology and product perspective towards that of supply networks, and to inform existing network analysis approaches (applicable for 'mature' industries) so as to better 'fit' nascent and emerging contexts. Indeed, it is argued that supply networks never quite reach a stage of 'maturity', as organisations continuously look to 're-configure' elements of their legacy networks, leveraging existing capabilities where possible, in response to changes in strategic priorities and the emergence of new market opportunities and threats. At the practice level, the 'stages' model informs how best to manage critical network resources - supporting the design of alternative business models, and associated supply network strategies, for transforming new technologies into marketable products.EPSRC (EP/E001769/1) EPSRC (via University of Strathclyde) (EP/P006965/1

Developing distributed manufacturing strategies from the perspective of a product-process matrix

In today’s highly competitive global business landscape, customers demand personalised products and responsive distribution systems, hence fuelling the concept of Distributed Manufacturing (DM) as a paradigm that suggests the geographical distribution of manufacturing systems adjacent to the markets to enable ‘production on demand’. To this end, the objective of this research is to explore the DM concept to inform firms about the dynamically changing manufacturing environment, along with the emerging opportunities, and support business stakeholders in implementing DM-oriented strategies to achieve digitalisation, personalisation, and localisation. More specifically, the present research builds upon the Dynamic Capability Theory (DCT) and conducts semi-structured interviews with a panel of 16 experts from the Fast-Moving Consumer Goods, Automotive, and Engineering industries to develop 12 exploratory industry cases. Our analysis highlights that companies can adopt three strategies to implement DM and realise shorter lead times and personalised product offerings, namely: (i) small-scale DM; (ii) in-house decoupled manufacturing; and (iii) outsourced decoupled manufacturing. However, the economic viability of the DM concept is identified as a significant barrier to relinquish the traditional centralised economies-of-scale. This research contributes by applying the DCT to the DM concept to advocate the viability and sustainability of manufacturing systems in the era of Industry 4.0. Pertaining to the originality of this research, limited work is available on the applicability of DM in industries, from the DCT perspective, to accomplish competitive advantages in the dynamic environment of manufacturing.his research has received funding from the EPSRC under Reference No. EP/K02888X/1, Project Title: “Engineering Driven Sustainable Supply Networks – A UK/India Collaborative Study”

Assessing the economic connectedness of the UK pharmaceutical and digital sectors by Input-Output Analysis

This paper applies the principles of Input Output Analysis (IOA) to identify key structural dependencies between the pharmaceutical sector, the digital sectors, and all the other sectors in an economy. The computation and visualisation of selected metrics to evaluate the strength of downstream and upstream economic connectedness of the digital and pharmaceutical sec-tors is demonstrated using digital data collections for the UK national economy. Although the analysis is limited to a single-country and a single reference year for illustrative purposes, the proposed approach is meant to provide a bird’s-eye view on how the networked structure of the economic system determines paths of influence between the sectors of interests. Such a top-level view is meant to inform and complement the assessment of individual technology interventions of relevance for the ‘digitisation’ of end-to-end pharmaceutical supply chain