The journals in the list below have been accepted for publication in Operations and Supply Chain Management: An International Journal. We are currently in the process of assigning each of these entries into our upcoming issue. Once published, you can access the corresponding article for free through our repository. Please feel free to contact us via Contact Us page or our email for any inquiries.
1. Age-based Blood Component Production-Inventory Dynamic Optimization Considering Transshipment, Hierarchical Substitution and Crossmatching
Author(s): Yufeng Zhou (Chongqing Technology and Business University, China),
Jiahao Cheng (Southwest Jiaotong University, China),
Lihua Wang (Hunan Biological And Electromechanical Polytechnic, China),
Yangyan Shi (Macquarie Business School, Australia),
Chaozhe Jiang (Southwest Jiaotong University, China)
Abstract:
Efficiently managing blood production and inventory is critical for achieving an adequate blood supply. Due to the complexity of blood components, optimizing their production and inventory levels, particularly during blood shortages, is challenging. This paper proposes a dynamic approach for blood component production-inventory optimization that considers transshipment, hierarchical substitution, crossmatching, and age. The hierarchical substitution in this study refers to the substitution of blood components due to heterogeneous demands rather than for ABO group compatibility as previously studied. In clinical practice, component substitution is more commonly utilized than ABO compatible substitution. Such a challenging problem is formulated as a multi-objective optimization problem where the shortage rate, system cost, and average storage age are the objectives to be optimized. To address this complex model, an improved whale optimization algorithm is proposed. Numerical experiments are presented to validate the efficiency of the model and demonstrate that transshipment and substitution effectively mitigate blood component shortages.
2. Supplier Performance and Resilience in the South African Public Sector
Author(s): Shephard Mugwenhi (Vaal University of Technology, South Africa),
Chengedzai Mafini (Vaal University of Technology, South Africa),
Joyendu Bhadury ([email protected]),
Welby Okoumba (University of the Free State, South Africa)
Abstract:
This study examines public sector operations in supplier management as applied to public-sector procurement in a developing country (South Africa (SA)) to delineate practices that have a salutary impact on the performance of the public sector supply chain. Based on the largest survey conducted in this context (333 Supply Chain Management (SCM) public sector professionals in SA), analysis was conducted using descriptive and inferential statistics, and hypotheses were tested using Structural Equation Modelling. Results indicate that three SCM practices (collaboration, innovation, and integration) exert a significant positive influence on supplier performance. Further, supplier performance exerted a significant positive influence on supply chain resilience. Managerial implications of the findings are discussed, especially practices that deserve attention to improve the performance of suppliers and how supplier performance can be harnessed to enhance resilience of public sector supply chains in developing economies.
3. Logistics service quality framework for contactless last mile delivery scale: An EFA-CFA approach
Author(s): Jan Elaiza C. Go (Department of Industrial & Systems Engineering, Gokongwei College of Engineering, De La Salle University, Manila City, Philippines),
Sean Arvin L. Sy (Department of Industrial & Systems Engineering, Gokongwei College of Engineering, De La Salle University, Manila City, Philippines),
Hannah Gwyneth S. Tagabucba (Department of Industrial & Systems Engineering, Gokongwei College of Engineering, De La Salle University, Manila City, Philippines),
Jules Dannielle C. Tan (Department of Industrial & Systems Engineering, Gokongwei College of Engineering, De La Salle University, Manila City, Philippines),
Miriam F. Bongo (Department of Industrial & Systems Engineering, Gokongwei College of Engineering, De La Salle University, Manila City, Philippines)
Abstract:
Despite extensive research on logistics service quality, existing frameworks have often examined service performance primarily from either the logistics provider’s perspective or the customer’s perspective, with limited empirical work integrating both viewpoints within a unified measurement framework. This paper aims to validate a logistics service quality framework that integrates the perspectives of logistics service providers (LSPs) and customers, addressing the limitation of traditional models in which service quality is assessed from a single stakeholder viewpoint, potentially leading to incomplete evaluation of operational performance and misalignment between service delivery and customer expectations. A two-stage analysis involving exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) is conducted to identify and validate the key dimensions of logistics service quality from both stakeholder perspectives. A case study in the Philippines is used to examine the applicability of the proposed framework in contactless last-mile delivery operations. The results confirm a stable multidimensional structure consisting of location, timeliness, tracking capability, service recovery, cost efficiency, and information exchange, with the validated model explaining a substantial proportion of the variance in perceived service quality across both providers and customers. Confirmatory analysis supports the reliability and construct validity of the framework, demonstrating that integrating provider and customer evaluations reveals performance gaps that may not be detected when only one perspective is considered. The paper provides an empirically validated and generalizable framework that can support service quality assessment, performance monitoring, and strategic improvement in real-world logistics systems.
4. Ecosystem Drivers of Digital Spare Parts Adoption: Evidence from an SEM Study in UAE Industries
Author(s): Wadhah Alzahmi (Department of Industrial Engineering, American University of Sharjah, United Arab Emirates),
Abdulrahim Shamayleh (Department of Industrial Engineering, American University of Sharjah, United Arab Emirates)
Abstract:
Spare parts management is a persistent operational challenge, often constrained by long lead times, high inventory costs, and frequent supply chain disruptions. Digital spare parts (DSP), enabled by additive manufacturing and digital Technologies, provide a promising alternative through localized production and demand-driven supply. Yet, successful DSP adoption requires more than technological readiness; it depends on a systemic understanding of the ecosystem of enablers that shape both economic and operational viability. This study develops and empirically validates a structural model of DSP ecosystem readiness in the United Arab Emirates, an emerging economy pursuing industrial diversification. Data were collected from 162 industry professionals across energy, manufacturing, healthcare, automotive, and aerospace sectors. Using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM), the study examines the interdependencies among 13 critical ecosystem factors. Findings show that infrastructure readiness, cost management, vendor support, customization capability, and quality assurance significantly and positively influence DSP adoption. In contrast, material availability, scalability, and industry readiness demonstrate counterintuitive negative effects, while sustainability and risk management exhibit no significant direct impacts. The results highlight the complex interplay of economic and operational Drivers, providing an empirically grounded framework for understanding DSP ecosystem readiness and offering analytical insights for researchers and industry practitioners.
5. Building Business Resilience: The Role of Supply Chain Relationship Strength Across Diverse SME Industries
Author(s): Osayuwamen Omoruyi (Department of Management Sciences, Sol Plaatje University, Kimberley, South Africa),
Albert Antwi (Department of Management Sciences, Sol Plaatje University, Kimberley, South Africa)
Abstract:
In the wake of post-COVID-19 shifts in consumer behavior and competitive pressures, assessing supply chain relationships among South African SMEs has become increasingly critical. Key relational dimensions enhance cost-efficiency and business performance, but they vary across sectors due to the distinct nature of products and services. To explore the extent of these differences, this study surveyed 396 SMEs using convenience sampling. Factor analysis and Bayesian regression modelling were employed to evaluate and compare the strength of supply chain relationships across sectors. The analysis reveals that trust and communication are perceived as slightly stronger in all sectors, with manufacturing showing a slightly weaker strength and agriculture having a relatively stronger score strength. The quality dimension varies significantly across sectors, with agriculture leading in product quality strength, followed closely by wholesale and transport, while manufacturing trails behind. Flexibility is also slightly stronger for most sectors, with the agriculture sector leading, while the manufacturing sector lags. Commitment is slightly strong across all sectors, with manufacturing lagging again than other sectors. Manufacturing exhibits consistently weaker strengths across all four dimensions of the logistics relationship.
6. A Structural Model of Maritime Logistics Collaboration: Examining the Roles of Adaptive Leadership and Organizational Flexibility in Driving Performance
Author(s): Dothy (Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia),
Raja Oloan Saut Gurning (Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia),
Imam Baihaqi (Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia),
Bahana Wiradanti (Pelabuhan Indonesia, Jakarta, Indonesia)
Abstract:
Maritime logistics collaboration research has concentrated on bilateral trust and digital integration, while the structural roles of adaptive leadership, organizational flexibility, trust, and internal capability as antecedents of collaboration remain underexplored, particularly in emerging archipelagic economies. This study develops and empirically tests a structural model using Partial Least Squares Structural Equation Modeling (PLS SEM) with survey data from 120 Indonesian port stakeholders, situated within Indonesia’s National Logistic Ecosystem (NLE), a government reform initiative integrating cargo flows from vessel arrival to warehouse delivery through a unified national digital platform. The initial conceptual model, grounded in the literature, examines adaptive leadership, organizational flexibility, trust, and internal capability as antecedents of maritime logistics collaboration and collaboration as a driver of operational, financial, and environmental performance. Following measurement model assessment, the model was empirically respecified to address construct overlap and improve statistical robustness. The final model reveals a sequential mechanism in which Adaptive Leadership significantly strengthens Trust, Trust facilitates Strategic Collaboration, and Strategic Collaboration enables Operational Collaboration. Operational Collaboration subsequently improves Operational, Financial, and Environmental Performance, with the strongest effect observed on Operational Performance. The findings extend traditional trust centered collaboration perspectives by demonstrating how leadership and relational mechanisms progress through strategic and operational collaboration to generate multidimensional performance. The study therefore advances a governance-based orchestration perspective on maritime logistics collaboration while highlighting the importance of translating strategic alignment into coordinated operational action.
7. Functional Closed-form Formulas for Three-Station Production Lines
Author(s): Stefanus Eko Wiratno (Department of Industrial System and Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia),
Abdullah Alkaff (Laboratory of Systems and Cybernetics, Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia),
Mochamad Nur Qomarudin (Laboratory of Systems and Cybernetics, Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia),
Nurhadi Siswanto (Department of Industrial System and Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia),
Erwin Widodo (Department of Industrial System and Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia)
Abstract:
Three-station production lines without intermediate buffers are analyzed with the holding time model. This model allows the analysis to be performed for service times at two end stations having phase-type (PH) distribution and the middle station having arbitrary distribution. Such choices of distribution produce a system of linear algebraic equations with closed-form solutions for cumulative distribution functions (CDFs) of variables in the system of equations and the interdemand time. When all stations have PH-distributed service times, closure properties of PH distribution can be employed to provide closed-form formulas for CDFs of other variables that are not in the system of equations, including the interdeparture time.
8. Market Structure as a Moderator of Supply Chain Resilience: A Monte Carlo Simulation of Tariff Volatility
Author(s): Douglas McWilliams (University of West Georgia, Carrollton, Georgia, USA),
Nero Edevbie (Sam Houston State University, Huntsville, Texas, USA)
Abstract:
This study examines how market structure moderates supply chain resilience to tariff volatility through a Monte Carlo simulation of monopoly, oligopoly, and perfect competition. Drawing on profit maximization theory, supply chain resilience theory, and survivability theory, we model the performance of firms across 81 experimental scenarios, varying tariff rates, pass-through rates, and desired profit margins. The findings reveal a clear hierarchy of resilience: oligopolies emerge as the most resilient, maintaining positive margins even under high tariffs through strategic coordination; monopolies achieve the highest margins but exhibit the most volatility, with profitability collapsing as tariffs rise; and perfectly competitive firms are the most vulnerable, unable to survive tariffs beyond moderate levels due to their lack of pricing power. Pass-through capability, a key resilience mechanism, is most effective in monopoly settings where it protects profit margins, while desired profit margins show no significant impact on performance outcomes, suggesting that strategic intent alone is insufficient without the market power to execute pricing strategies. The results demonstrate that market structure fundamentally determines supply chain resilience to trade policy uncertainty. For practice, the findings highlight the need for market-structure-aware resilience strategies: monopolies should dynamically adjust pass-through based on tariff levels, oligopolies should maintain consistent pass-through to coordinate with competitors, and competitive firms should prioritize cost reduction, diversification, and consolidation to survive tariff shocks. For policymakers, the results underscore the extreme vulnerability of competitive industries to tariff volatility, the need to monitor oligopolistic coordination that may harm consumers, and the importance of considering market concentration when designing trade policy. This research extends profit maximization and survival-based theories by demonstrating that resilience mechanisms are contingent on competitive position, and it provides a framework for understanding the differential impacts of tariffs across industries. The hierarchy of resilience revealed by this analysis—oligopolies most resilient, monopolies most volatile, and competitive firms most vulnerable—offers a foundation for firms navigating volatile trade environments and for policymakers designing effective trade policies.
9. Facility Location and Routing Optimization for Humanitarian Drone Logistics
Author(s): Titi Iswari (Supply Chain Center, Department of Industrial Engineering, Universitas Katolik Parahyangan, Bandung, Indonesia),
Jansen Prayoga (Department of Industrial Engineering, Universitas Katolik Parahyangan, Bandung, Indonesia),
Giovano Alberto (Supply Chain Center, Department of Industrial Engineering, Universitas Katolik Parahyangan, Bandung, Indonesia),
Ishak Hilton Pujantoro Tnunay (School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia, Beehive Intelligent Robotics Laboratory (BIRL), Beehive Drones, Yogyakarta, Indonesia)
Abstract:
Indonesia is vulnerable to natural disasters, which frequently disrupt ground transportation infrastructure and hinder humanitarian aid distribution. In such conditions, drone-based logistics offers a promising alternative for last-mile delivery to affected areas. This study proposes an integrated optimization framework for humanitarian drone logistics that combines a multi-objective Facility Location Problem (FLP) and a Vehicle Routing Problem (VRP). The FLP determines the optimal locations of drone stations to maximize service coverage while minimizing infrastructure and operational costs, and is formulated as a min-max weighted-sum objective with normalized components. The VRP, solved using a Simulated Annealing (SA) algorithm, optimizes pickup-and-delivery routes with multi-trip capability, subject to drone capacity, distance, and operational time constraints. The framework is evaluated using real disaster data from the 2022 Cianjur earthquake in Indonesia. Results show that a small number of strategically located drone stations achieve high service coverage at a reasonable daily cost, with weight coverage approaching completeness. Routing optimization substantially reduces the deployed fleet relative to the FLP upper bound, demonstrating the added value of the VRP stage as a cost-reduction mechanism. The findings demonstrate that integrated strategic and operational optimization significantly enhances the efficiency and feasibility of drone-based humanitarian logistics, and that objective weight tuning can serve as a practical policy lever for balancing coverage, cost, and equity in disaster relief operations.
10. Sustainable Supply Chain Network Design with Inclusive Sourcing and Renewable Energy: A Multi-Objective Trade-Off Analysis
Author(s): Saeedeh Anvari (Business Management, SUNY Farmingdale, NY, USA),
Metin Turkay (Industrial Engineering, Koc University, Istanbul,Turkey.),
Zeynep Gurhan Canli (Business Administration, Koc University, Istanbul,Turkey.)
Abstract:
Designing sustainable supply chains requires firms to simultaneously balance economic performance, environmental responsibility, and social inclusion. Strategic network design decisions—such as facility location, supplier engagement structure, capacity allocation, and energy sourcing—directly influence emissions, employment distribution, and inclusive development outcomes. However, managers lack integrated decision-support frameworks that quantitatively evaluate trade-offs among profitability, renewable energy adoption, and inclusive sourcing strategies at the network level. This study develops a multi-objective supply chain network design framework that jointly optimizes economic profit, environmental emissions, and social utility. The model integrates renewable energy investment decisions and inclusive supplier development within a unified planning structure. A real-world agro-industrial case study demonstrates how alternative network configurations generate distinct trade-offs across the three sustainability pillars. Results show that inclusive sourcing can enhance social performance and profitability up to critical capacity thresholds, while renewable energy adoption becomes economically viable under specific demand and reputation conditions. The findings provide actionable insights for supply chain managers seeking to design sustainable and inclusive production networks without sacrificing competitiveness.
11. Prioritizing Risk Mitigation Strategies in Hazardous-Materials Logistics: An Integrated BWM-PROMETHEE II Approach with Evidence from Ammunition Transportation Operations
Author(s): Nunik Endah Sulistiyawati (Interdisciplinary School of Management and Technology, Institut Teknologi Sepuluh Nopember (ITS), Indonesia),
Bambang Syairudin (Department of Industrial and Systems Engineering, Institut Teknologi Sepuluh Nopember (ITS), Indonesia),
Buana Ma’ruf (Research Center for Hydrodynamic Technology, National Research and Innovation Agency (BRIN), Indonesia)
Abstract:
Hazardous-materials logistics is highly vulnerable to disruptions at storage-transport interfaces, where handling failures can generate cascading safety, security, environmental, and operational consequences. This study applies an integrated Best-Worst Method (BWM) and PROMETHEE II procedure to prioritize five risk-mitigation alternatives for ammunition loading and unloading operations at a maritime depot operated by the Indonesian Navy. Nine purposively selected domain experts, organized into three functional deliberation groups, provided criterion-comparison and alternative-performance judgments across Safety, Security, Regulatory Compliance, Operational Efficiency, Environmental Impact, and Technical Readiness. Group-level BWM weights were aggregated using the arithmetic mean, while geometric-mean and median aggregation were examined as alternative specifications. Safety, Security, and Regulatory Compliance collectively account for 77.57% of the baseline decision weight. Under the corrected baseline PROMETHEE II specification, Integrated Security System Enhancement ranks first (net flow +0.210), followed by Automated/High-Performance Equipment (+0.073), Integrated Risk Management (+0.033), Intensive Training and Certification (-0.120), and Specialized Cranes and Dock Infrastructure (-0.196). The ordinal ranking remains unchanged across the tested aggregation, weighting, criterion-structure, preference-function, threshold, and one-at-a-time perturbation scenarios, although net-flow magnitudes and rank margins vary. The study therefore demonstrates scenario stability rather than conclusive robustness. Its contribution is a context-specific, resilience-oriented decision procedure. For managerial use, the risk-priority ranking must be followed by a separate cost and feasibility screening before implementation or procurement decisions are made.
12. Trends and Insights in Integrating Artificial Intelligence with Sustainable Supply Chain Management
Author(s): Mariem Mrad (Faculty of Economics and Management, Sfax, Tunisia),
Mohamed Amine Frikha (Applied College, King Faisal University, Saudi Arabia)
Abstract:
Achieving sustainability in global supply chain management (SCM) presents an ongoing and complex challenge, requiring innovative approaches that align economic goals with environmental and social responsibilities. In this context, Artificial Intelligence (AI) and Machine Learning (ML) are increasingly recognized as transformative technologies for advancing sustainable supply chain management (SSCM) by improving decision-making processes, operational performance, and system responsiveness. This paper presents a systematic literature review (SLR) examining the intersection of AI and SSCM, based on 206 peer-reviewed articles published between 2015 and 2024. Through a comprehensive multi-perspective descriptive and content analysis, the study synthesizes emerging patterns, conceptual developments, and future research trajectories. The review reveals a rapidly expanding academic interest, reflecting a shift from an emerging topic to an established area of investigation. Key themes include the role of AI in supporting circular economy practices, minimizing waste, and enhancing remanufacturing processes, each contributing to overarching sustainability objectives. Moreover, this study identifies significant research gaps, particularly the need for large-scale empirical validation and the integration of ethical and social considerations, offering valuable directions for future inquiry.
13. Stakeholder Requirements for Supply Chain Viability: A Vector-Based Consideration of Efficiency, Resilience, and Sustainability
Author(s): Marcel Jaun (Bern University of Applied Sciences (Department of Industrial Engineering, Biel/Bienne, Switzerland)),
Jörg H. Grimm (Bern University of Applied Sciences (Department of Industrial Engineering, Biel/Bienne, Switzerland)),
Ann-Kathrin Gilliot (Bern University of Applied Sciences (Department of Industrial Engineering, Biel/Bienne, Switzerland)),
Tim Auer (University of St.Gallen (PSCM-HSG, St.Gallen, Switzerland))
Abstract:
The concept of supply chain viability (SCV) has recently evolved into a thriving research area within supply chain management. To date, SCV has largely been theorized from the narrow perspective of survival amid increased disruption and crisis. In this paper, we argue that while this perspective is valuable, organizations should consider the needs of primary and secondary stakeholder groups to achieve long-term viability. Based on a semi-systematic literature review and eight expert interviews, we have identified 26 overarching stakeholder requirements across the three SCV performance dimensions of efficiency, resilience, and sustainability. We identify that those requirements frequently diverge in content and priority across stakeholder groups. This divergence results in either paradoxical tensions or synergies. Building on these findings, we introduce a vector-based model to systematically analyze and compare these requirements and present two research propositions for future validation: Firstly, each identified stakeholder requirement influences efficiency, resilience, and sustainability simultaneously, albeit to varying degrees. Secondly, the aggregated direction and dispersion of all stakeholder requirements determine priorities for the strategic development of SCV. This paper contributes to existing theory by introducing a stakeholder-focused approach to the systems-theoretical conceptualization that has dominated SCV research to date. For practitioners, the model provides a method for anticipating trade-offs and identifying potential synergies to support the prioritization of SCV practices.
14. How Relational Capital and Disruption Orientation Shape Supply Chain Resilience and Market Performance: A Multi-Group Analysis of SMEs and MNEs
Author(s): Charles Arthur Robb (Linton Global School, Hannam University, Daejeon, South Korea),
Minhyo Kang (Dong-eui University, Busan, South Korea),
Aaron Rae Stephens (Department of Business and Finance, Hartwick College, Oneonta, NY, USA),
Nakjung Kang (Dong-eui University, Busan, South Korea)
Abstract:
Supply chain disruptions have intensified in frequency and severity, compelling firms to develop adaptive capabilities to sustain competitive performance. This study examines how relational capital and supply chain disruption orientation contribute to supply chain resilience and market performance, and whether these relationships differ between small and medium-sized enterprises and multinational enterprises. Drawing on the relational view and dynamic capability theory, a framework is proposed in which relational capital and disruption orientation enhance resilience, which in turn drives market performance. Using survey data from 191 firms, the study finds that relational capital significantly strengthens both disruption orientation and resilience across firm sizes. Resilience emerges as the strongest predictor of market performance in the pooled sample. However, multi-group results reveal a significant asymmetry: the resilience–performance relationship is stronger for SMEs than for MNEs, while disruption orientation directly enhances performance only in larger firms. These findings demonstrate that the performance returns of supply chain capabilities are contingent upon firm size. The study contributes to supply chain management literature by integrating relational and dynamic capability perspectives and highlighting structural context as a boundary condition in resilience research. From a managerial perspective, the results highlight the pivotal role of resilience for smaller firms operating under resource constraints.
