Purpose: – The purpose of this paper is to understand the role of procurement in identifying and managing the intra- and inter-organisational issues which impact supply chain resilience. Achieving resilience along the supply chain in today’s turbulent business environment requires efforts from both internal and external elements of the extended enterprise.Design/methodology/approach: – The systematic literature review was conducted between 2000 and 2013 with the objective being to answer the single research question proposed. To do so, a content analysis based on the literature was applied to 30 selected papers.Findings: – The study revealed that procurement activities do make a significant contribution to creating supply chain resilience. Emerging from the literature review, certain intra- and inter-organisational issues were identified that could impact supply chain resilience. Also the possible actions that procurement could take to enable the enhancement of supply chain resilience were identified.Research limitations/implications: – This study is limited, in that it is exploratory and focuses only on the body of knowledge presented in two databases over the past 13 years. It has also been restricted to the procurement function and the consequent implications for the upstream supply chain.Originality/value: – The originality of this paper lies in the identification of intra- and inter-organisational issues from a procurement perspective specifically as they relate to improving supply chain resilience. This raises further questions on the role of procurement in creating supply chain resilience, which has not been well-explored in the current literature.

Purpose: The purpose of this paper is to understand the role of resilience enablers in combating counterfeits in the medicine supply chain based on a Systematic Literature Review (SLR). The objective is also to help practitioners and scholars as the review revealed that little research has been conducted on selecting and implementing practices to improve resilience to counterfeiting. Design/methodology/approach: Based on the literature review, a content analysis was performed for 84 selected papers to explore the potential relationship among resilience enablers and counterfeit anti-measures. Findings: This paper contributes to Supply Chain Resilience (SCR) research by summarizing the highly fragmented literature concerning how to combat counterfeiting. The SLR indicated reengineering, collaboration, visibility, innovation, SCR culture and trust as six key enablers to combat counterfeit medicines and identified literature gaps. Moreover, the paper discusses other resilience enablers which have been less studied in the literature and shows new avenues of research. Research limitations/implications: This paper is limited in that it is an exploratory literature review and focuses only on three databases over the past 15 years. Furthermore, counterfeit is a rapidly evolving issue and anti-measure studies require frequent surveillance concerning new discoveries. Originality/value: The main contribution of this paper is to provide a better understanding of enablers most often associated with counterfeit anti-measures, which, therefore, might help to increase resilience to counterfeit medicines. Moreover, research gaps involving enablers less associated with anti-measures are presented.

Purpose: The purpose of this paper is to identify how the relationship between inbound logistics (IL) activities and elements of resilience (EoR) can contribute to organisational resilience.Design/methodology/approach: Two in-depth case-based studies were conducted in the dairy industry. After identifying EoR and IL activities through a systematic literature review, relationships among them have been empirically discussed in six groups (emerged content analysis results): supplier and response capability; transportation; security; quick response to disruption; logistics management; trust and knowledge.Findings: A framework was developed describing the contribution of these six groups to organisational resilience by highlighting and discussing three aspects: rigidity of the hierarchy, type of relationship and geographical dispersion. These aspects emerged from the process of content analysis and are related to the companies’ characteristics.Practical implications: The proposed framework can assist managers to decide which group of EoR and IL activities they should prioritise, depending on the company’s characteristics and needs.Originality/value: Although some studies have discussed the IL contribution to generating resilience in companies, none of them have explored in detail the relationship between EoR and IL activities, and their contribution to organisational resilience. The proposed framework shows the contribution of the EoR to three different organisational aspects.

Purpose: – The purpose of this paper is to characterize the cross-functional integration processes between marketing and logistics, while considering five basic elements: boundary spanning activities, integration factors, level of integration, formality/informality and impacts of integration. Design/methodology/approach: – After an extensive literature review, five case studies were performed and in-depth interviews conducted. Both within-case and cross-case analysis was performed to better understand the cross-functional integration processes between marketing and logistics. Findings: – A characterization of cross-functional integration in the form of a managerial framework was proposed. This framework presents the elements in a process view, instead of disconnected parts of the integration processes. The framework and process perspective helps to explain the integration process, the roles and impacts of integration within organizations, while considering cultural formality and informality. Research limitations/implications: – Qualitative data collection and analysis methods cannot achieve amplitude with respect to sampling nor generalize results. In spite of this, the implications revealed by the propositions may be applied not only to Brazilian companies, but organizations in other countries as well, due to the high level of heterogeneity of the sample, and the fact that they represent multinational organizations. Therefore, further research using broad-based survey data could test the correlations between the elements of cross-functional integration processes. Practical implications: – The identification of the cross-functional integration processes within organizations can help managers to facilitate the efforts of integration between marketing and logistics, reducing conflicts and improving business performance. Originality/value: – Case studies focussing specifically on five Brazilian organizations help provide evidence for an initial definition of cross-functional integration processes by analyzing five key elements according to their characteristics and respective roles. This research provides a strong foundation for future broad-based survey research.

Additive manufacturing (AM) revolutionizes product creation with its unique layer-by-layer construction method but faces obstacles in widespread industrial use due to quality assurance and defect challenges. Integrating machine learning (ML) into AM quality control (QC) systems presents a viable solution, utilizing ML’s ability to autonomously detect patterns and extract important data, reducing the reliance on manual intervention. This study conducts an in-depth literature review to scrutinize the role of ML in augmenting QC mechanisms within extrusion-based AM processes. Our primary objective is to pinpoint ML models that excel in monitoring manufacturing activities and facilitating instantaneous defect corrections via parameter adjustments. Our analysis highlights the efficacy of convolutional neural networks (CNNs) models in defect detection, leveraging camera-based systems for an in-depth examination of printed parts. For 1-D data processing, support vector machines (SVMs) and long short-term memory (LSTM) networks have shown significant application and effectiveness. Furthermore, the study classifies various sensors and defects that can effectively benefit from ML-driven QC approaches. Our findings accentuate the essential role of ML, especially CNNs, in detecting and rectifying production flaws and also detail the synergy between different sensor technologies in creating a comprehensive monitoring framework. By integrating ML with a multisensor approach and employing real-time corrective strategies, such as dynamic parameter adjustments and the use of advanced control systems, this research underscores ML’s transformative potential in elevating AM QC. Thus, our contribution lays the groundwork for harnessing ML technologies to ensure superior quality parts production in AM, paving the way for its broader industrial adoption.