Complex Supply Chain Research Articles

Improved traceability in seafood supply chains is achievable by minimising vulnerable nodes in processing and distribution networks

Seafood is a globally traded commodity, often involving complex supply chains which have varying degrees of traceability. A robust traceability system for seafood supply chains enables the collection and communication of key information about catch and fisheries origins vital for assurance of the legality and sustainability of seafood products. End-to-end traceability is increasingly demanded by retailers, consumers, NGOs and regulatory bodies to ensure food safety, deter IUU fishing and verify sustainable and ethical credentials. Here, we map three UK seafood supply chains and evaluate traceability performance in: Dover sole landed in the south west of England, North-East Atlantic (NEA) mackerel landed at Peterhead, Scotland, and brown crab and European lobster, landed at Bridlington, England. Through a comparative analysis of traceability performance, this study suggests improvements to the technologies, processes, and systems for traceability in the seafood sector. The application of monitoring technologies and regulatory changes across the sector have increased traceability and potentially reduced instances of IUU fishing. While shorter supply chains are more likely to achieve end-to-end traceability, vulnerable nodes in processing and distribution networks may result in a loss of seafood traceability. While traceability systems may provide sustainability information on seafood, a high level of traceability performance does not necessarily equate to a sustainable source fishery. Encouragingly, while UK seafood supply chains are meeting minimum regulatory requirements for traceability, in the present study, many stakeholders have indicated ambitions towards traceability best practice in order to provide confidence and trust in the UK fishing industry.

Drivers of consumer protection practices: implications for operational performance

PurposeGlobalization and increased outsourcing have contributed to increased supply chain complexity, exposing firms to greater vulnerability in the areas of product safety and supply chain security. Meanwhile, stakeholders pressure firms to ensure that their products are safe, and their supply chains are secure. Drawing from stakeholder theory, this paper aims to explore how the supply chain characteristics of distance and power affect the adoption of consumer protection (CP) practices, which ensure product safety and supply chain security.Design/methodology/approachUsing primary survey data from a sample of Canadian manufacturing firms, this research examines the relationships among supply chain characteristics, adoption of CP practices and firm performance.FindingsAnalysis supported the use of two practices related to product safety (consumer education and product design) and three practices for supply chain security (packaging, tracking and authenticity). Greater cultural distance between the focal firm and its suppliers was positively associated with investments in safer design practices, while increased geographical distance between the focal firm and the customer was significantly related to increased consumer education. Moreover, as power of a focal firm relative to its suppliers increased, so too did investments in supply chain security. Finally, CP practices were related to improved operational performance along multiple dimensions.Originality/valueThis research focuses on the critical role of two key stakeholder groups in improving product safety and supply chain security: suppliers and customers. The authors add to the theoretical discussion of product safety and supply chain security by identifying critical differences between suppliers and customers for the focal firm. Second, the research informs the managerial community of the potential benefits of investments in CP practices.

Optimizing Algerian Company’s Delivery Fleet with Agent_Based Model in Anylogic

Abstract The utilization of simulation modelling in supply chain management has proven to be a valuable tool for logistics service providers, enabling them to optimize their operations and meet customer demands efficiently. AnyLogic, with its diverse capabilities in discrete event simulation, system dynamics, and agent-based simulation, stands out as a powerful software solution for tackling complex supply chain challenges. This paper significantly contributes by demonstrating the practical implementation of AnyLogic in the modelling and simulation of agro-food product distribution network, particularly vegetable oils from the Cevital group. Additionally, the study integrates an optimization experiment to ascertain the optimal number of vehicles required to meet a specific customer demand while ensuring a high level of fleet utilization. The obtained results are very encouraging and demonstrate the feasibility and effectiveness of our approach.

The impact of COVID-19 government policy on the international wine trade

To control the health impact of the COVID-19 pandemic, governments implemented various restrictive policies, such as stay-at-home orders and restrictions on internal movement, which had adverse effects on consumption and, consequently, on international trade. This was observed even for products intensively traded and minimally impacted in terms of production, such as wine. Thus, to work towards a better awareness of future crises, this study assesses the impact of government policy responses to COVID-19 on the international wine trade. A gravity model, a benchmark approach for studying the determinants of trade, is estimated using monthly data for 20 exporting countries and 214 potential importing countries. The findings suggest that, ceteris paribus, the value of wine export flows was inversely related to the intensity of government policy response in importing countries due to lower demand provoked by restrictive measures. This effect was considerably reduced, however, concerning wines coming from the Old World, which are inferred to be more resilient, a factor primarily attributed to their higher share of wines exported with geographical indications. On the other hand, only the exports from Old World countries were negatively influenced by restrictions on internal movements in the exporting country, which reflects a business model with a complex supply chain in which several intermediaries are involved, thus weakening the direct linkage between wine producers and consumers.

A dialectical system framework for enhancing the modular construction supply chain

Modular construction (MC) is an innovative approach to enhancing productivity and sustainability, but its complex and dynamic supply chain is challenging. This paper develops and validates a dialectical system framework for understanding and enhancing the MC supply chain, through the combination of a literature review, interviews with 59 professionals and a case study of modular integrated construction development in Hong Kong, China. The developed framework encompasses seven key components of the MC supply chain technical system – namely, pre-approval, building plan pre-submission, detailed design, module production, logistics, module installation, and quality assurance and quality control – considering various stakeholders embedded in broader contexts. The case study validates the framework as a theoretical lens to comprehend the complex MC supply chain and as a novel analytical model to enhance the MC supply chain from different stakeholder and contextual perspectives. Future research directions are suggested regarding strategy establishment, performance measurement and policy road map development to achieve a mature and sustainable supply chain.

Fish and Seafood Markets in Central and Eastern Europe

The fish and seafood industry, which includes the production, processing, distribution and consumption of fish and seafood products, is an important part of the European blue economy. Europe is one of the largest consumers of fish and seafood in the world and, because of its diverse seafood preferences, it imports a considerable amount of seafood from other parts of the world. At the same time, there are significant differences between EU member states in terms of fish consumption and production levels. This study focuses on a group of six Central and Eastern European countries with the lowest levels of seafood consumption. The article reveals unique combinations of factors that determine demand for fisheries and aquaculture products, despite the presumed levelling effects of the single market and global supply chains. In this fragmented market, the main players are small and medium-sized enterprises that specialise in trading and processing broad groups of products and are able to integrate into complex supply chains. The overview of the seafood markets of Bulgaria, Czechia, Hungary, Romania, Slovakia and Slovenia serves as a step towards a better understanding of the interplay between global and local market forces

Current trends in the traceability of geographic origin and detection of species-mislabeling in marine bivalves

Marine bivalves are increasingly consumed worldwide, with their complex supply chain being particularly prone to fraud. This scenario drives economic losses and is a threat to public health, with multiple recent food worries driving consumers to demand more transparency and information on the seafood they buy. To increase consumers confidence in bivalves and enforce current legislation, robust tools are needed to fight species mislabeling and confirm the place of origin of bivalves being traded. The present study provides a critical overview based on a databases search, over the traceability of geographic origin and detection of species-mislabeling in marine bivalves, summarizing the tools currently available to confirm claims on these topics along the supply chain. We also identify current trends on the use of tools, pinpoint which countries contribute to advance the state of the art on these topics, and highlight the bivalve groups/species being more commonly surveyed. The most used tools to expose species mislabeling in marine bivalves are DNA and fatty acid analysis, while elemental analysis is the most commonly employed approach to confirm their geographic origin. Stable and unstable isotope analysis, as well as metabolomics, are also starting to be increasingly used to verify species authenticity and provenance in marine bivalves. Further studies are still needed to identify annual/seasonal variations and determine if these can be a constraint for the optimization of protocols to fight fraudulent practices. The implementation of an open global database to allow realtime data comparison will be paramount to advance the state of the art.

Can blockchain technologies enhance environmental sustainable development goals performance in manufacturing firms? Potential mediation of green supply chain management practices

AbstractThe nexus between manufacturing firms and the green environment is unavoidable. It is merely due to the huge waste generation and greenhouse gas emissions resulting from large‐scale production and complex supply chain management processes involved in manufacturing firms. Continuation of the traditional business practices during Industry 4.0 made it impossible for the manufacturing firm to commit to green environmental practices and comply with environmental SDGs. At odd, it requires novel business strategies to ensure compliance of manufacturing firms with environmental sustainable development goals (SDGs). Blockchain is an ideal technology for delivering green environmental‐related information because it offers real‐time, shareable, and entirely transparent data kept on an immutable ledger that is accessible to members of a network. These green environmental‐related information received in real‐time through blockchain technology help in the transformation of the traditional supply chain management practices into a more green supply chain management practice. This green transformation ensures business compliance with environmental SDGs and that compliance is shared with multiple stakeholders through blockchain technology in real‐time, thus approving a positive mediating role of green supply chain management practices between blockchain technology and environmental SDGs performance. The proposed strategic framework through various propositions development will mainly offer policy insights toward (a) identifying novel antecedents of blockchain technology, (b) offering insights toward upgrading the traditional supply chain management framework into a green supply chain management framework, and (c) illuminating novel mediating role of green supply chain management practices between blockchain technology and environmental SDGs performance.

Serialized Barcode Printing Solution for Drug Traceability: An Architectural Design and Approach

Medicine serialization seems to be a key to both counterfeiting and the complex supply chain of the pharmaceutical industry, including recalls and returns. Though there are countries that use serialization as a legal necessity, it is still a developing topic within the industry. Serialization is not just for anti-counterfeit technology but also to use supply chain and stock management more proficiently. The design of the Barcode is a fundamental requirement as per Healthcare Distribution Alliance (HDA) guidelines for serialized products. Encoding Barcodes on pharmaceutical drugs with critical product attributes is necessary for tracking and validating product sources. Since the serialization guidelines are regulated, small-scale pharmaceutical companies are struggling to comply with regulations due to heavy investments. Printing Serialized labels with barcodes required specialized third-party systems and software. The cost of third-party systems that integrate with ERP and Serialized systems for exchanging data is very expensive. On the other hand, the operational and sustainability costs of these systems will be an additional year-to-year cost for the company.
 Aim: This Study investigated the feasibility of designing a barcode printing solution for drug traceability.
 Material and Method: A case study has been carried out at a USA-based generic pharmaceutical company to print serialized labels using their enterprise Resource planning (ERP) integrated with the packaging line.
 Result: This dynamic solution for serialized label printing saves the company a significant number of resources and money, as they do not need to buy any specialized third-party system to print the label or send back the product to the packaging line.
 Conclusion: In this paper, we implement and validate a dynamic solution to print 2D data matrix and 1D Linear barcodes successfully within an ERP system by eliminating the need for a specialized third-party printing system.

Effect of Guided Delegation and Information Proximity on Multitier Responsible Sourcing

Problem definition: Guided delegation, a practice in which companies provide guidelines when delegating supplier management to tier 1 firms, is a common practice in managing complex supply chains. We study the benefits and risks of this approach in a three-tier supply chain setting consisting of a buying firm, a tier 1 contract manufacturer, and tier 2 suppliers, where responsibility risk stems from the tier 2 suppliers. We analyze the buyer’s profit and the supply chain’s responsibility risk under a guided-delegation model, in which the buyer specifies an authorized tier 2 supplier for the tier 1 manufacturer as a guideline and may audit the tier 1 firm for compliance. We compare this model with a full-delegation model, in which the buyer fully delegates tier 2 supplier selection to the tier 1 firm. Methodology/results: We formulate a Stackelberg game for the buyer’s contract design problem. We show that guided delegation does not always yield its expected results of lower supply chain risk and greater buyer profit. In instances where compliance auditing is financially more attractive to the buyer than paying a premium for tier 1’s responsible sourcing, guided delegation can result in higher profit but increased risk because compliance auditing cannot completely eliminate the risk. Additionally, when tier 1 anticipates buyer audits and demands higher wholesale prices to offset potential penalties, guided delegation may lead to decreased risk but lower profit for the buyer. Our analysis shows that delegating audit responsibilities to tier 1 often does not improve the buyer’s profit, and in situations where it does, it invariably raises the supply chain risk. Managerial implications: Our research identifies the potential downsides of guided delegation, offering insight for external stakeholders on where to focus efforts to avoid these pitfalls. It suggests that the intended benefits of guided delegation can only be realized when paired with compliance auditing. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2020.0446 .

Supply chain disruption mitigation strategies to advance future research agenda: A systematic literature review

Growing complexity and vulnerability of global supply chains have led to significant challenges in supply chain functionality. Organizations face shortages, out-of-stock situations, and longer lead times for components, which impacts resilience and recovery processes. Numerous organizations have adopted diverse strategies to mitigate the effects of supply chain disruptions. Despite these efforts, current intricate supply chain complexities have rendered these strategies relatively ineffective in minimizing the impact of disruptions. This predicament can be attributed to a dearth of comprehensive knowledge and a skewed research emphasis, which collectively hindered development and application of robust effective strategies. There is scarcity of both theoretical comprehension and practical experience with specific mitigation strategies. Therefore, this study aims to bridge the critical research gaps by comprehensively examining 133 relevant studies on Supply Chain Disruption Mitigation Strategies (SCDMS). Through bibliometric and network analyses, the study performed quantitative analysis to shed light on evolving intellectual discourse and revealed the exponential rise in publications on SCDMS, which reflect the heightened relevance within contemporary, volatile and uncertain market landscape. This study provides a comprehensive foundation for understanding diverse mitigation strategies identified through systematic literature review by delving into theories, characteristics, methodology, and contextual analysis of SCDMS and propose a conceptual framework for organizations and researchers. The study has also analyzed how organizations can apply diverse mitigation strategies to reduce the impact and enhance recovery and resilience. Holistic and comprehensive review suggest that future research on SCDMS should focus on interactions of components such as unexplored mitigation strategies, implementation process, organisational resilience and supply chain disruptions. The potential challenges and benefits of implementing various mitigation strategies have also been provided along with future research directions. The analysis has been further enriched by inclusion of existing practices to enable the strategists to glean practical insights from successful cases.

Industry 4.0 digital transformation and opportunities for supply chain resilience: a comprehensive review and a strategic roadmap

Despite interest in opportunities that Industry 4.0 offers for Supply Chain Resilience (SCR), little is known about the underlying mechanisms for such contributions. The study develops a roadmap that explains how supply chains can capitalize on Industry 4.0 SCR functions. The study conducted a content-centric literature review and identified 16 functions through which Industry 4.0 enhances SCR. Results reveal that the Industry 4.0 SCR functions identified are highly interrelated, and supply chain members should align their digitalization strategies with the sequence in which Industry 4.0 delivers these functions. Industry 4.0 contribution to SCR first involves delivering data-centric functions such as supply chain automation, information and communication quality, process monitoring, and visibility. Industry 4.0 further allows supply chain partners to collaborate better on improving supply chain mapping, complexity management, and innovation capabilities. Through these functions and by increasing transparency, flexibility, and agility of supply chain operations, Industry 4.0 delivers more dependent but consequential resilience functions such as supply chain responsiveness, adaptive capability, and continuity management. The roadmap further explains how each pair of Industry 4.0 SCR functions mutually interact while contributing to the overall resilience of the supply chain. The study discusses possible implications and outlines important avenues for future research.

Technology innovations in supply chains: Unlocking Sustainability and SDG Advancement.

The study on the "Technology Innovations in Supply Chains: Unlocking Sustainability and SDG Advancement," offers a thorough examination of the intricate connections between technological innovation, supply chain management, sustainability development, and the advancement of the Sustainable Development Goals (SDGs) in various Chinese cities. The study explores how developments in artificial intelligence (A.I.), the Internet of Things (IoT), and big data have changed supply chain practices and their consequent effects on environmental and sustainability results. It does this by utilizing a substantial dataset spanning a decade. The findings showed that different patterns of technological adoption and their impacts might be seen in the assessed cities. While it is clear that technology innovation is essential for improving supply chain effectiveness and encouraging sustainability, not all regions see the same advantages. Variations in supply chain complexity, city size, technology advancement, and environmental legislation are all blamed for these discrepancies. The report also offers detailed knowledge of the connection between the development of modern supply chains and the advancement of the SDGs. Even though many cities showed high relationships, others showed less alignment, pointing to the importance of additional economic, sociopolitical, and environmental factors. The report concludes by highlighting the potential of technology to advance sustainability and the SDGs while emphasizing the necessity for a deliberate and context-specific approach to technology integration. Additionally, it emphasizes how crucial supportive regulations are in maximizing the advantages. These findings significantly impact business executives, educators, and legislators who want to use technology to advance sustainability and the SDGs.

Applying federated learning to combat food fraud in food supply chains

Ensuring safe and healthy food is a big challenge due to the complexity of food supply chains and their vulnerability to many internal and external factors, including food fraud. Recent research has shown that Artificial Intelligence (AI) based algorithms, in particularly data driven Bayesian Network (BN) models, are very suitable as a tool to predict future food fraud and hence allowing food producers to take proper actions to avoid that such problems occur. Such models become even more powerful when data can be used from all actors in the supply chain, but data sharing is hampered by different interests, data security and data privacy. Federated learning (FL) may circumvent these issues as demonstrated in various areas of the life sciences. In this research, we demonstrate the potential of the FL technology for food fraud using a data driven BN, integrating data from different data owners without the data leaving the database of the data owners. To this end, a framework was constructed consisting of three geographically different data stations hosting different datasets on food fraud. Using this framework, a BN algorithm was implemented that was trained on the data of different data stations while the data remained at its physical location abiding by privacy principles. We demonstrated the applicability of the federated BN in food fraud and anticipate that such framework may support stakeholders in the food supply chain for better decision-making regarding food fraud control while still preserving the privacy and confidentiality nature of these data.

Integrating data-driven risk mitigation into supply chain planning and management

The supply chain disruptions that occurred during the COVID-19 pandemic, and continue to a lesser degree today, exposed vulnerabilities in many supply chains and increased C-level focus on supply chain resiliency. At the same time, the supply chain risk landscape is becoming more challenging to navigate with more points of vulnerability and an increase in the frequency of disruptive events. The semiconductor shortage that crippled automotive and electronics manufacturers was the most widely publicised example, but across industries material and component shortages, port congestion, severe weather events and other disruptions have taken their toll on business continuity and profitability. Supply chain organisations are taking a multifaceted approach to these challenges, including increasing inventory levels, diversifying supplier networks and re-engineering their supply chains. This paper focuses on using analytics-based risk mitigation tools to support decision making around these strategies and enable a more comprehensive and data-driven approach to supply chain risk. These tools integrate advanced technologies such as predictive analytics, artificial intelligence (AI) and virtualisation to improve risk identification, model complex supply chains during planning and enable proactive management during disruptive events. The paper reviews the current risk landscape, outlines how risk mitigation tools have evolved to meet current needs and the capabilities available in the current generation. It describes how the tools are used in procurement to improve supplier identification and management, in planning to design risk out of the network where possible, and in transportation management to adapt in real time to minimise the impact of disruptive events on delivery and production schedules. Finally, it outlines how these tools work with existing systems and processes to embed an analytics-based approach to risk mitigation into supply chain management.

A meta-heuristic-based algorithm for designing multi-objective multi-echelon supply chain network

Recently, practitioners and researchers have concentrated on the use of meta-heuristics in the design of multi-objective supply chain networks. The number of publications in this field reflects this interest. The purpose of this paper is to propose a novel metaheuristic approach for designing supply chain network problems in the case of multi-objective supply chains. The proposed algorithm hybridizes three meta-heuristic approaches; simulated annealing, tabu search, and variable neighborhood algorithms. The proposed algorithm is also combined with a linear programming approach. The purpose of hybridization is to aggregate the approaches in order to benefit from the advantages of these solution algorithms. The features of these algorithms are investigated in this paper for the first time. The most useful characteristics of each algorithm are then utilized for developing the new algorithm. The performance of the proposed algorithm is compared with an exact algorithm, simulated annealing, and tabu search algorithms. The results indicated that the proposed algorithm is comparable to the exact in the case of small and medium-sized supply chain problems. The findings revealed that the proposed algorithm takes on an average of 6.3 min to solve small and medium problems, while the exact algorithm takes 412 min. Moreover, the proposed algorithm outperforms other algorithms with a mean ideal distance (MID) of 13,606,871, a percent of domination (POD) of 0.84, and a computational time of 15.64 min compared to the tabu search algorithm’s MID of 15,574,523, a POD of 0.55, and a computational time of 21.46 min. The simulated annealing algorithm, on the other hand, achieved an average MID of 18,145,931, a POD of 0.40, and a computational time of 30 min. Furthermore, the findings showed that the proposed algorithm is capable of solving complex and large supply chain problems in a reasonable time when exact approaches fail.

Modeling drivers and barriers of climate change mitigation strategies in Indian iron and steel industry: a TISM-based approach

PurposeThe main purpose of this paper is to investigate drivers and barriers of climate change mitigation strategies (CCMS), their linkages and impact in Indian Iron and Steel Industry (IISI) in light of ninth sustainable development goal (building resilient infrastructure, promote sustainable industrialization and foster innovation).Design/methodology/approachTo identify relevant drivers and barriers, a thorough literature review and opinions of industry experts were obtained. Utilizing Total Interpretive Structural Modeling (TISM), the selected drivers and barriers were modeled separately along with Cross Impact Matrix-multiplication Applied to Classification (MICMAC).FindingsPragmatic and cost-effective technology, less supply chain complexity, robust policy and legal framework were found to have the highest driving power over all the other drivers. Findings suggest political pressure as the most critical barrier in this study. The results from TISM and MICMAC analysis have been used to elucidate a framework for the understanding of policymakers and achieve top management commitment.Practical implicationsThis paper will help researchers, academicians, industry analysts and policymakers in developing a systems approach in prioritizing CCMS in energy-intensive (coal dependent) iron and steel plants. The model outcomes of this work will aid operational research to understand the working principles in other industries as well.Originality/valueTo the best of authors' knowledge, there is paucity of reported literature for the drivers and barriers of CCMS in iron and steel industry. This paper can be considered a unique, first attempt to use data from developing nations like India to develop a model and explain relationships of the existing drivers and barriers of CCMS.

Tracing urban carbon footprints differentiating supply chain complexity: A metropolis case

More complicated linkages between sectors are enhancing supply chain complexity. How carbon footprints (CFs) transfer through simple and complex supply chain paths (SSCPs and CSCPs) (differentiated according to production layers covered) and evolve driven by socioeconomic effects remain elusive. Targeting Shanghai with a population larger than 20 million and pillar industries including services, transportation, communication electronics, we identified the key supply chain paths for CFs to uncover their evolutionary characteristics and investigated the contributions of major socioeconomic drivers including supply chain complexity to CFs changes during 2007–2017 based on structural path analysis and structural decomposition analysis. Results indicate that total CFs increased from 165.0 to 191.2 Mt-CO2, then decreased to 177.4 Mt-CO2. CFs of CSCPs kept decreasing, accompanied by the declining proportion in total CFs (3.1%–1.5%). The downstream sectors of Transportation and Metals Smelting and Pressing driven by export were most observable in the supply chain. For SSCPs, the most important negative driver of CFs turned from emission intensity to industrial structure. The transition of supply chain complexity favored to CFs reduction in CSCPs, especially for those associated with export. The findings provide decision-makers with reference to sounder urban supply chain management for pertinent carbon emission control.

Supply chain responses to global disruptions and its ripple effects: an institutional complexity perspective

The recent disruption of global supply chains and its ripple effects has led to multiple new, often conflicting, demands from governments, businesses, and society for more resilient supply chains, thereby elevating the debate about supply chains to a broader institutional level. As a response, this article aims to broaden how supply chain scholars view decision-making for supply chain resilience from an institutional perspective – in particular, using the construct of institutional complexity. We argue that the inherent complexity in supply chains, consisting of multiple organizations and multiple institutional environments, represents a different playing field and results in different responses, in particular when confronted with disruptions. We provide a systematic and structured understanding of how the interactions of institutional logics, influenced by field-levels structures and processes, impact global supply chains and its constituents. Using existing literature on institutional complexity and works on the effects of institutional logics, we present not only field-level structures and attributes influencing and shaping institutional logics in the supply chain, but also discuss and contrast existing theories and concepts by highlighting the differences between supply chain and organizational responses both on an institutional and an overarching operational level.

Single-tablet-scale direct-compression: An on-demand manufacturing route for personalized tablets

Today’s pharmaceutical industry is facing various challenges. Two of them are issues with supply chain security and the increasing demand for personalized medicine. Both can be addressed by increasing flexibility and a more decentralized approach to pharmaceutical manufacturing. In this study, we present a setup that provides flexibility in terms of supplied raw materials and the product, i.e., a direct-compression setup for personalized tablets operating at a single-tablet-scale. The performance of the implemented single-tablet-scale technology for dosing and mixing was investigated. In addition, an analysis of the critical quality attributes (CQAs) of immediate release ibuprofen and loratadine tablets was performed. The developed dosing device achieved acceptance rates of > 90 % for doses ≥ 20 mg for various pharmaceutical powders. Regarding the vibratory mixing process, a dependency of the performance on the applied frequencies and acceleration was observed, with 100 Hz and ∼ 90 G performing best, yet still exhibiting varying mixing efficacies depending on the granular system. The tablets produced met U.S. Pharmacopeia requirements regarding mechanical stability and dissolution characteristics. Given these results, we consider the developed setup a proof of concept of a tool to provide personalized tablets to patients while minimizing the dependency on complex supply chains.