Supply Chain Performance Research Articles

Pengukuran Kinerja Rantai Pasok Pada Industri Karet Remah dengan Pendekatan SCOR (Supply Chain Operations Reference)

One of the pivotal aspects of a company lies in its supply chain. The company must effectively and efficiently manage their supply chains to support production quality, achieve organizational goals, and ensure customer satisfaction. This research aims to determine the key performance indicators (KPIs) for the crumb rubber processing industry and provide suggestions for improving its supply chain performance. Supply chain performance measurement was conducted using the Supply Chain Operations Reference (SCOR) model in conjunction with the Analytical Hierarchy Process (AHP) method to determine the weights of the KPIs. The research found that the overall supply chain performance score for the crumb rubber company was 84.92, categorizing it as "Good." However, among the 26 Key Performance Indicators (KPIs) identified, three indicators (i.e. production of defective products, consumer complaints, and returns of defective products) fell into the "Poor" category. Hence, it is crucial for crumb rubber industry stakeholders to address these three criteria to enhance supply chain performance.

Considering economic-environmental dimension in the integrated strategic and tactical optimization of Ethiopia's bioethanol supply chain coupled with operational planning

The global supply chain has garnered significant attention in recent years due to its intricate nature and operational challenges. Companies face the crucial task of integrating various components to maintain competitiveness and enhance overall performance across the supply chain. Achieving this goal necessitates vertical integration to ensure coherence and coordination among decision-making processes at different temporal and spatial scales, bridging the gap between strategic, tactical, and operational decisions. This article proposes a mathematical model that integrates the three previous decisions within the supply chain context, aiming to maintain coherence while considering economic and environmental objectives (few papers cover this challenge). By addressing the complexities of multi-scale modeling and optimization, the model seeks to provide a holistic view of supply chain operations. The model focuses on the transport decisions at the operational level, resulting in the coupling between a strategic and tactical model and a vehicle routing problem. Nonetheless, achieving this integration effectively from a modeling and resolution point of view leads to computational and methodological challenges due to the multi-scale, multi-site, and multi-objective nature of the problem, requiring an innovative approach for effective model resolution. The contributions of this article pave the way towards more sustainable and efficient supply chain operations. The model capabilities are exemplified through the real case study of the bioethanol supply chain in Ethiopia. For the location of the different firms of the supply chain, the country is divided into 58 zones (second level administrative subdivision in Ethiopia) to have a precise mapping of the area. The result of the case study shows that in adding the operational level decisions to the strategic-tactical ones has not only changed the topology of the network configurations but has greatly affected the economic and environmental criteria due to more precise estimation of all activities. The results put also in highlight that there is a compromise to find between both previous objectives by identifying Pareto alternative scenarios.

New Technology in Marine Logistics Warehouse Management

The marine logistics industry faces challenges in improving efficiency, reducing operational costs, and supporting environmental sustainability. One crucial aspect that can be optimized is warehouse management, which is responsible for the storage, handling, and distribution of cargo. This research aims to explore the application of new technologies such as the Internet of Things (IoT), artificial intelligence (AI), robotics, automation, and green technologies in marine logisticswarehousemanagement. Themethodology used includes a comprehensive literature review, in-depth interviews with industry experts, and analysis of case studies of new technology implementation in marine logistics companies. The results revealed significant opportunities and benefits from the implementation of new technologies, such as improved visibility and real-time monitoring of cargo, optimization of cargo storage and handling, increased productivity and safety, and reduced operational carbon footprint. However, challenges such as initial investment costs, data security, system interoperability, and human resource training needs must be overcome. This research presents a comprehensive implementation strategy, including cost-benefit analysis, development of industry standards, implementation of strict security protocols, and collaboration between industry, government, and standardization bodies.A conceptual framework is developed to provide practical guidance for the marine logistics industry to effectively implement new technologies and optimize their benefits. By adopting new technologies appropriately, the marine logistics industry can improve its competitiveness and global supply chain performance, and support environmental sustainability.

Exploring Green Inventory Management through Periodic Review Inventory Systems—A Comprehensive Literature Review and Directions for Future Research

With the increasing environmental concerns and legislative pressures, the focus on incorporating ecologically sustainable practices into inventory management systems has grown, leading to the emergence of green inventory management. However, this field is not without its challenges, with numerous conflicting real-world constraints and goals. A comprehensive literature review targeting green inventory management operating under a periodic review inventory system was conducted to identify research gaps and potential directions for future research. Despite the growing interest in the field, this review highlighted the scarcity of relevant studies. Out of the 1272 papers reviewed, only 16 studies, or 1.3%, met the criteria for exploring periodic review inventory systems while simultaneously considering environmental and economic aspects. These studies were further analyzed in detail and categorized according to key classification criteria. The future research directions highlighted the need for additional studies on periodic review inventory systems operating under stochastic market demand in the context of green supply chain management. The standardization of emission calculation methodologies was also emphasized as a crucial step towards aligning inventory management practices with the aim of increasing inventory management efficiency and the related improvement in the environmental performance of supply chains.

An integrated multi-criteria decision-making approach for sustainable supply chain performance evaluation from a manufacturing perspective

An integrated multi-criteria decision-making approach for sustainable supply chain performance evaluation from a manufacturing perspective

Big Data Analytics for Optimizing Multimodal Supply Chains in the Maritime Industry

This research investigates the integration of big data analytics in optimizing multimodal supply chains within the maritime industry. Focusing on efficiency, flexibility, reliability, and visibility, the study examines 100 cadets at a maritime institute, using qualitative research methods and descriptive analysis. Findings reveal a critical need for knowledge and skills, infrastructure and resources, organizational culture and support, and regulatory compliance. The research underscores the importance of investing in training and development, infrastructure, and fostering a culture that values innovation and data-driven decision-making. By addressing these needs, organizations can enhance their readiness to adopt and implement big data analytics, improving the efficiency and sustainability of their supply chains. The study contributes to the understanding of how big data analytics can be leveraged to enhance supply chain performance in the maritime industry.

Mediation of integrations in supply chain information management and supply chain performance: an empirical study from a developing economy

Purpose This study aims to investigate how the management of supply chain information impacts the performance of the supply chain. This relationship is explored by considering the mediating influence of internal and external integration, which is underpinned by the principles of resource-based theory. Design/methodology/approach Data was collected from 144 supply chain professionals across different manufacturing companies. The proposed hypotheses were subjected to quantitative analysis using partial least squares structural equation modeling, and the validity of the measurement model was assessed with the assistance of SmartPLS software. Findings This study identified that information management (IM) significantly and positively affects internal integration (II), customer integration (CI) and supply chain performance (SCP). Similarly, the results showed that II significantly and positively affects SCP. Likewise, CI positively and significantly affected SCP. At the same time, II found a positive yet significant mediating role in the relationship between IM and SCP. CI was found to play a positive but insignificant mediating role in the relationship between IM and SCP. Originality/value This research evaluated a second-order model and tested the SCP in conjunction with the resource-based view in the manufacturing industry. This research could be beneficial for researchers, manufacturers and policymakers to attain organizational objectives by implementing an efficient IM system for better integration and SCP.

The impact of blockchain adoption in supply chain systems on corporate performance: a technology–organization–environment framework

The instability of the international political environment and frequent occurrence of unpredictable events have introduced greater uncertainty to the external environment of supply chains. Consequently, supply chain operations and development face increasing challenges. With a decentralized architecture, blockchain technology has emerged as an innovative solution capable of addressing various supply chain management issues. However, existing research on the adoption and impact of blockchain technology on corporate performance is limited, particularly within the technology–organization–environment (TOE) framework. Drawing from relevant studies, this study identifies traceability, information sharing, transparency and decentralization as the four perceived benefits of blockchain technology, and proposes a model to evaluate the impact of blockchain technology on corporate performance. Additionally, it examines the moderating effects of technological uncertainty, corporate social responsibility (CSR) orientation, and market uncertainty on the blockchain adoption within the TOE framework.

Enhancing Security, Transparency, and Efficiency of Blockchain Technology in Pharmaceutical Supply Chain

Blockchain technology has emerged as a promising solution to address persistent challenges like lack of transparency, inefficient tracking, and counterfeiting issues in pharmaceutical supply chains. However, there are still limitations in integrating blockchain with existing legacy systems, lack of common standards, scalability concerns due to its decentralized architecture, and lack of regulatory clarity that need to be addressed before successful implementation in the pharmaceutical industry is feasible. This review explores the potential benefits and current use cases of blockchain in enabling drug traceability, establishing authenticity and integrity of data, facilitating smart contracts for seamless financial transactions, and optimizing overall supply chain operations. The current blockchain-based solutions employed by various stakeholders like drug manufacturers, wholesalers, distributors, retailers, hospitals, and regulators across the different stages of the pharmaceutical value chain are reviewed in this article. Recent research efforts to mitigate the key challenges are discussed, including technical improvements in blockchain architecture for increased security and privacy, the use of permissioned blockchains, innovative consensus protocols to improve scalability, and growing regulatory guidance. The future outlook highlights the tremendous opportunities for blockchain to enable end-to-end visibility, accountability, automation, real-time monitoring and combating counterfeiting in pharmaceutical supply chains through collaborative efforts among stakeholders.

Digital twins' readiness and its impacts on supply chain transparency and sustainable performance

PurposeProduction systems occupy geographically dispersed organizations with limited visibility and transparency. Such limitations create operational inefficiencies across the Supply Chain (SC). Recently, researchers have started exploring applications of Digital Twins Technology (DTT) to improve SC operations. In this context, there is a need to provide comprehensive theoretical knowledge and frameworks to help stakeholders understand the adoption of DTT. This study aims to fulfill the research gap by empirically investigating DTT readiness to enable transparency in SC.Design/methodology/approachA comprehensive literature survey was conducted to develop a theoretical model related to Supply Chain Transparency (SCT) and DTT readiness. Then, a questionnaire was developed based on the proposed theoretical model, and data was collected from Indian manufacturers. The data was analyzed using Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) to confirm the proposed relationships.FindingsThe findings from the study confirmed a positive relationship between DTT implementation and SCT. This study reported that data readiness, perceived values and benefits of DTT, and organizational readiness and leadership support influence DTT readiness and further lead to SCT.Originality/valueThis study contributes to the literature and knowledge by uniquely mapping and validating various interactions between DTT readiness and sustainable SC performance.

Perfect couple or toxic relationship? A meta‐analysis of the effects and interplays of lean and agile strategies to improve performance

AbstractBoth lean and agile practices have emerged as dominant organizational strategies to improve supply chain and firm performance. In addition, combinations of lean and agile, so‐called leagile practices, have developed. Most extant studies have tested the effects of specific subsets of lean, agile, or leagile practices on performance. This study proposes a comprehensive framework to investigate the complementary versus mutually exclusive performance gains of lean, agile, and leagile practices and their combinations. We review the literature and conduct a meta‐analysis of 127 empirical studies, yielding a total of 969 effect sizes across 30,741 firms. Our results indicate support for the positive link between lean, leagile, and agile practices and firm performance. Further analyses provide support for some aspects of cumulative capability theory, while others support aspects of trade‐off theory. We thereby enlighten the discourse about the cumulative and comparative effects of lean, leagile, and agile leveraging our comprehensive framework of practices. Specifically, our contribution identifies practice combinations that can be considered more valuable performance enhancers than others. Furthermore, our research guides managers on aligning and adapting lean, leagile, and agile practices with their firms' strategic priorities and performance goals. Finally, we showcase areas that require additional empirical investigation.

Resilient and sustainable semiconductor supply chain network design under trade credit and uncertainty of supply and demand

Supply Chain (SC) performance appraisal extends beyond economic evaluation to encompass environmental and social impacts, as well as resilience to supply and demand disruptions. Thus, SC network design decisions should simultaneously optimize all these performance metrics as a primary objective. However, existing studies optimized these objectives independently or in a limited scope, failing to comprehensively address the interconnected nature of these performance metrics. Therefore, this study proposes a mixed integer linear programming (MILP) model with four objectives to address a multi-tier resilient and sustainable semiconductor SC network design problem under trade credit, supply, and demand uncertainties. The model aims to determine the optimal number and location of various facilities, the amount to order from suppliers, economic production quantities, quantity allocation between SC entities, and ideal supplier selections. The proposed supply chain network contributes to the global effort to reduce carbon emissions and enhance the circular economy by considering carbon trading, recycling, and the proper disposal of end-of life products. Uncertainties in input parameters are addressed using a fuzzy programming approach, while lexicographic optimization and the ɛ-constraint method are used to solve the proposed model. This paper presents a numerical example to illustrate the applicability of the proposed model and provide managerial insights. The numerical analysis results show that provided an appropriate confidence level for the uncertain parameters, the sets of Pareto optimal solutions can be generated. And it also shows that the total SC cost increases with decreasing carbon emissions level and increasing job opportunities created. This research advances sustainable and resilient supply chain management practices while offering practical guidance for decision-makers in real-world contexts.

Building dynamic capabilities in supplier selection in industry 4.0 era: A literature review

Firms are striving to improve their operational capacities and maintain competitive advantages in light of challenges presented by globalization, evolving consumer preferences, prolonged external disruptions, and advancements in industry 4.0. Given that their suppliers have an impact on their competitive advantages, firms must ensure that the selection process for suppliers includes dynamic capabilities such as sustainability, resilience, and digitalization. This is crucial for maintaining competitiveness and effectively managing external disruptions. The objective of this article was to provide an analysis of recent literature on supplier selection through a descriptive and thematic analysis. By examining dispersed literature, this study has developed a framework for supplier selection rooted in building dynamic capabilities of whole supply chain with three important dimensions—resilience, sustainability, and digitalization. Findings of the study will assist managers to improve their supply chain performances, particularly in their supplier selection and evaluation by highlighting the crucial role of dynamic capabilities.

Supply Chain Integration and Performance of Food and Beverages Manufacturing Firms in Kenya

Supply Chain Integration and Performance of Food and Beverages Manufacturing Firms in Kenya

Research on the impact of blockchain technology on supply chain performance: The intermediary role of supply chain coordination and transparency in the blockchain industry

Purpose – The purpose of this study is to investigate the impact that the implementation of blockchain technology has on supply chain management by analysing the mediating effects of supply chain coordination, transparency, inter-organisational systems, and management capabilities. Design/methodology/approach – The primary data were obtained by the distribution of a self-administered questionnaire, and the replies were evaluated using a Likert scale with five points. This study collected 300 valid questionnaires from December 2023 to March 2024. SPSS was used for data analysis, and PLS-SEM was used for structural equation modeling analysis. Findings – Specifically, the findings of this research point to the existence of a statistically significant positive association between blockchain adoption (BCA), supply chain management capabilities (SCMC), inter-organisational systems (IOS), and supply chain performance (SCP). Mediation analysis highlights the critical role of supply chain coordination (SCC) and transparency (SCT) in enhancing SCP through BCA. Originality/value -- This research makes a significant contribution to the body of knowledge concerning the implications of blockchain technology for supply chain management, offering practical implications for industry stakeholders and policymakers.

Trusting the trust machine: How does blockchain-enabled governance configuration enhance financing credibility?

This study highlights the role of blockchain technology in addressing the trust crisis in supply chain operations and financial activities. While previous research has acknowledged blockchain as a response to trust issues, limited studies have explored its specific contributions and its impact on accelerating cash flow in supply chains. Drawing on governance theory, this study investigates the relationship between blockchain technology and supply chain finance (SCF) through multiple case studies. The central argument is that blockchain technology alone does not automatically generate trust. Instead, trust is established through the configuration of various governance mechanisms. We propose that trust in blockchain applications is derived from two main factors: the requirement of codifiability and verifiability. Through a cross-case analysis, we found that in situations where both the requirement of codifiability and verifiability are high, blockchain governance tends to dominate. When only one factor is high, a configuration of blockchain governance and relational governance emerges. When both factors are low, contractual governance proves to be efficient. This study underscores the need for a nuanced understanding of trust dynamics in blockchain applications and highlights the importance of considering contextual factors in trust research related to blockchain technology.

6G Automotive Supply Chain Network for Supply Chain Performance Evaluation Model

6G Automotive Supply Chain Network for Supply Chain Performance Evaluation Model

Measurement of Seaweed Supply Chain Performance in UD Bangkitg

This research aims to measure the performance of the supply chain at UD Bangkit, a trading business engaged in the production and distribution of seaweed. Supply chain performance measurement is carried out using the Supply Chain method Operations Reference (SCOR) which includes five main dimensions: reliability, flexibility, cost, assets and responsiveness. The research results show that measuring UD Bangkit's Performance Attributes using the SCOR and AHP approach obtained a value of 51.58, it can be said that supply chain performance is in the average category. Based on the SCOR calculation, the lowest final attribute value is the performance value attributes reliability and metrics are perfect order fulfillment of 72 with a performance value of 9.36, and a performance value attributes responsiveness and its metrics Order Fulfillment Cycle Time is 48 with a performance value of 7.2. The highest value was obtained for Asset attribute Management, with a result of 18.83.

Integrating virtual power plants for sustainable supply chain operations in production-climate nexus

ABSTRACT This paper aims to design and integrate virtual power plant (VPP) into a geographically dispersed production-distribution network for attaining environmental sustainability goal. The VPP is comprised wind turbines, photovoltaics, combined heat and power, and energy storage units. The proposed VPP-based supply chain design model makes strategic allocations on renewable capacity as well as scheduling production, inventory, transportation, and energy generation and trading decisions. The model represents a first-of-its-kind in planning a multi-layer supply chain network in which renewable-based electric-thermal cogeneration is coordinated in production-climate nexus. The study yields the following findings. First, products with larger energy use opt to be made in locations with stronger sunshine or wind profile despite higher transportation costs. Second, the time-of-use rate greatly stimulates the installation of onsite photovoltaics and energy storage. Third, under flat utility rate, reducing energy storage cost has limited benefit to the cost savings of the supply chain operations.

The improved BP neural network supply chain performance evaluation model under the cross-border e-commerce marketing chain

With the rapid development of Internet technology, foreign trade has been integrated with it, resulting in the rapid development of cross-border e-commerce, and for all kinds of enterprises to bring rich profits. However, in the fierce market competition, many enterprises ignore the importance of supply chain in the process of operation, which leads to the frequent bankruptcy of enterprises. To solve this problem, the research focuses on the supply chain performance evaluation of cross-border e-commerce enterprises, and proposes an improved error inverse propagation algorithm supply chain performance evaluation model. The results show that the model has improved the service capability of cross-border e-commerce, the performance of suppliers and the supply chain. The average relative error of the artificial neural network algorithm and the error reverse propagation algorithm is 3.26% and 10.23% respectively, while the average relative error of the expected output and actual output of the artificial neural network algorithm is 2.11%, and the average relative error of the expected output value and actual output of the error reverse propagation algorithm is 6.78%. It can be seen that the artificial neural network algorithm can effectively improve the performance level of the supply chain, and under this algorithm, the objectivity of the weights and the accuracy and efficiency of the prediction results are guaranteed. Therefore, this study has important scientific value and practical significance for understanding and improving the supply chain management of cross-border e-commerce enterprises.