Supply Chain Management System Research Articles

Empirical study of robotic systems implementation to corporate performance in manufacturing sector

PurposeThis study aims to investigate the impact of implementing various robotic systems in logistics and supply chain management on corporate performance in Jordanian manufacturing companies, focusing on environmental, operational, economic, and social dimensions.Design/methodology/approachUsing a quantitative approach, data was collected through a survey questionnaire to measure the relationship between robotic systems and several performance dimensions. Various established constructs were employed, and the structural relationships were analyzed using partial least squares structural equation modeling (PLS-SEM) to assess the complex interdependencies within the model.FindingsThe results of this study indicate that the adoption of robotic systems has a positive influence on the environmental, operational, economic, and social performance of Jordanian manufacturing companies. In contrast to prior research that revealed inconsistencies in the social dimension, our findings align with previous studies highlighting the benefits of robotics in logistics and supply chain management. However, it’s worth noting that this study did not uncover similar inconsistencies, particularly in terms of the impact on social performance.Practical implicationsThe study provides valuable insights for manufacturing companies considering the implementation of robotic systems, highlighting the need to evaluate the environmental, operational, social, and economic consequences. This understanding can help organizations make informed decisions to leverage the benefits of robotics for sustainable growth.Originality/valueThis study contributes to the growing literature on robotics in logistics and supply chain management, specifically focusing on the unique context of Jordanian manufacturing companies. By examining the multifaceted impact of robotic systems, this study extends the understanding of the role of technology in enhancing corporate performance.

Construction of Cross-Border E-Commerce Supply Chain of agricultural food products Based on Blockchain Technology

The European Union has for several years been a critical export market and a significant source of imports for us, and the US has, in general, kept closed domestic players vis-à-vis the EU. However, given the variety of alternative market conditions and EU forms, the attractiveness of cross-border electronic commerce (CBEC) between China and the EU has fallen far short, and there is an urgency to create a harmonious and uniform environmental environment for the exchange of information to facilitate the convenience of cross border electronic commerce. This study examines the CBEC of agricultural goods and its cooperative management technique inside the logistical supply chain. It details the complete transaction model and fundamental components and presents a theoretical framework for the CBEC distribution network. The Block Chain can effectively bridge the obstacles to CBEC in Chinese and European countries by providing a valuable source of benefits from decentralization, trust, anti-counterfeiting, consensus, innovative procurement, and extraordinary techniques, which will provide the basis for building an Embedded Provider Platform for Electronic Commerce, Risk Management System for Deposit Risk Management, Supply Chain (SC) Management System, Cross Border Logistic System, Customs Supervisory Computer, etc. The paper examines how blockchain science can assemble CBEC SC computing devices for agricultural goods between global places in Central Europe. Firstly, it expounds on the theory and characteristics of the blockchain. Then, the paper introduces the troubles that arise in the CBEC supply chain. Then, the thesis proposes a blockchain-based CBEC SC structure, analyzes the aspects and relations among each other, and provides a framework for developing a China-European blockchain cross-border electronic Commerce. The test findings indicate that the system satisfies the criteria for tracking agricultural items and enhances fresh farm commodities' quality and security.

AgroChain: Decentralised Supply Chain Management System

The “AgroChain: Decentralized Supply Chain Management System” research project explores the concept of decentralized supply chains for agriculture and their potential to revolutionize the food distribution system. Decentralized supply chains for agriculture are transforming the way food is produced, distributed, and consumed. By leveraging blockchain technology, smart contracts, peer-to-peer networks, and farmer cooperatives, this innovative system promotes transparency, reduces waste, empowers smallholder farmers, and ensures a resilient and sustainable global food supply. The proposed solutions to challenges include implementing blockchain technology for transparency, enabling direct-to-consumer models for fairer prices, utilizing data analytics and IoT devices for efficiency, promoting sustainability practices, supporting farmer cooperatives and capacity building, and exploring privacy-enhancing technologies

A multi-objective model for integrated supplier order allocation and supply chain network transportation planning decision-making

Effective supplier order allocation (SOA) and transportation planning (TP) are critical for the smooth operation of supply chains, especially in dynamic markets with evolving customer demands. While previous research has made significant strides in addressing these areas individually, studies that integrate both aspects while considering a comprehensive set of objectives are limited. This study introduces an innovative multi-objective model that concurrently addresses total operational costs, supplier defect rates, sustainability performance, and supply chain network disruption risks. The model applies an augmented max–min approach of fuzzy multiple objective linear programming (AMM-FMOLP), which enhances overall utility while ensuring balanced performance across all objectives. The inclusion of all five objectives in the model is essential for a holistic evaluation of supply chain performance. The model’s effectiveness and practicality are validated through a case study involving a computer numerical control (CNC) machine tool assembly company, under various scenarios. Additionally, sensitivity analysis reveals how adjustments in supply chain structure can further improve performance. Moreover, the execution process of this study does not require expert intervention, making it a unique data-driven decision model particularly suitable for intelligent supply chain management and decision-support systems. This approach enhances the flexibility and resilience of supply chains, enabling them to effectively respond to unforeseen events and minimize their impact on business operations, especially in volatile global markets.

Carbon finance, green supply chain management, and firms’ environmental innovation: the moderating role of financing structure

Many countries have introduced policies on carbon finance to promote the green development of firms and achieve a balance between the economy and the environment. This study uses institutional theory to construct a relationship model between carbon finance, green supply chain management, financing structure, and firms’ environmental innovation. It uses multiple regression analysis to examine the impact of carbon finance on firms’ environmental innovation, the mediating role of green supply chain management, and the moderating role of financing structure by selecting 1529 A-share listed companies in Shanghai and Shenzhen from 2012 to 2022 as its sample. The results show that carbon finance has a positive influence on firms’ environmental innovation, with green supply chain management playing a mediating role in this relationship. Additionally, financing structure weakens the positive effect of carbon finance on firms’ environmental innovation. Based on these findings, suggestions are made to improve the carbon trading market and trading system, build an efficient green supply chain management and supervision system, and encourage firms to optimise the financing structure.

Developing a Logistics Ontology for Natural Language Processing

The business area requires the presence of Supply Chain services, to respond to the constantly evolving requirements. Supply chains are dynamic networks that include a continuous flow of processes, starting with the supplier and ending with the customer. For effective supply chain management, a conceptual understanding of the knowledge underlying this field is of utmost importance. On the other hand, ontologies are considered one of the most appropriate ways of representing knowledge and valuable tools for decision-making situations. The purpose of this paper is to present an ontology created to identify the common concepts of supply chain management systems, with the ultimate goal of supporting and promoting Natural Language Processing technologies through the representation of terminological knowledge for this specific field.

The Application of Intelligent Logistics Systems in Supply Chain Management and Its Challenges: Case Studies of Automated Warehousing and Unmanned Delivery

The Application of Intelligent Logistics Systems in Supply Chain Management and Its Challenges: Case Studies of Automated Warehousing and Unmanned Delivery

أثر إدارة سلاسل التوريد على كفاءة وتكاليف شركات النقل بالمملكة العربية السعودية

This study aims to explore the impact of supply chain management on the efficiency and costs of transportation companies in the Kingdom of Saudi Arabia. The study is of particular importance in light of the major economic transformations witnessed by the Kingdom within Vision 2030, which seeks to enhance economic diversification and improve the efficiency of various sectors, including the transportation sector. The descriptive analytical approach was used to achieve the objectives of the study. Data were collected through a questionnaire distributed to a random sample of 165 transportation companies in the Kingdom, where the sample included supply chain managers and senior management in various companies. The results showed that there is a positive and noticeable impact of effective supply chain management on improving operational efficiency and reducing costs in transportation companies. It was also shown that adopting modern technologies and developing relationships with suppliers and distributors contribute significantly to enhancing the overall performance of companies. Based on these results, the study recommends the need to invest in developing supply chain management systems and adopting modern technology to enhance efficiency and reduce costs, in addition to enhancing cooperation and communication between companies and suppliers to achieve better performance and increase competitiveness in the local and regional market.

Blockchain-based Formal Model for Food Supply Chain Management System

Blockchain-based Formal Model for Food Supply Chain Management System

Supply Chain System Optimization Model for Logistics Enterprises in the Internet of Things Era Based on Improved ECC Algorithm

In this article, a new method to optimize the supply chain system (SCS) of logistics companies in the era of Internet of Things (IoT) using an improved elliptic curve cryptography (ECC) algorithm was put forward.The focus of this research was to address the challenges faced by logistics organizations in adapting to the complexity of modern supply chains and meeting the growing demands of customers. The research aimed to improve the efficiency, security and reliability of supply chain management systems by utilizing advances in ECC algorithms.By conducting comprehensive performance tests of the proposed system, including interface testing, joggle testing, and system response time analysis, the study demonstrated the superiority of the system over traditional systems. The research findings indicated that the system based on the improved ECC algorithm outperformed traditional systems in terms of interface effectiveness, usability, and system response time. The improved ECC algorithm enhanced the security of the encryption process, making it more resistant to unauthorized access, and improved the system’s overall data processing load capacity. Additionally, the system demonstrated superior performance in managing logistics data and information, facilitating better decision-making and efficiency in logistics operations. Overall, this research contributes to the advancement of supply chain management in the IoT era by providing a practical and efficient solution for logistics enterprises to optimize their supply chain systems. The innovative application of the improved ECC algorithm offers a secure, reliable, and efficient approach to managing logistics operations, addressing the challenges posed by the complexities of modern supply chains.

Implementation of Food Supply Chain Management System

Implementation of Food Supply Chain Management System

Evaluating the Impact of ERP Implementation on Supply Chain Performance: A Case Study of Youngs Food in Pakistan

This study investigated the impact of Enterprise Resource Planning (ERP) implementation on supply chain performance at Youngs Food, a leading FMCG company in Pakistan. Utilizing a quantitative research methodology, the study aimed to assess how ERP systems influence various aspects of supply chain management, including process automation, lead time reduction, cost reduction, and delivery improvement. Data were collected from employees involved in the ERP transformation process through a structured questionnaire. The findings revealed that ERP implementation significantly enhances supply chain performance. Specifically, process automation emerged as the most influential factor, followed by cost reduction, improved deliveries, and lead time reduction. The study confirmed that ERP systems streamline operations, reduce operational costs, and improve efficiency and customer satisfaction. The comprehensive analysis underscores the critical role of ERP systems in modern supply chain management, advocating for their strategic adoption to achieve competitive advantage and operational excellence.

Logistics Supply Chain Management and Control Based on Mobile Communication Technology

With the development and application of 5G technology, more efficient and faster mobile communication has become an essential tool in logistics transportation and warehousing processes. Logistics supply chain management (SCM) is a logistics management system centered around the core products or business of the supply chain, as well as a logistics management system organized around the core logistics business. As an important part of logistics SCM, logistics control requires real‐time monitoring and adjustment of transportation, warehousing, distribution, and other links. Mobile communication technology can provide real‐time positioning, tracking, monitoring, and data transmission functions, which provides strong technical support for logistics control. It can also optimize logistics scheduling and improve logistics efficiency and accuracy, thereby reducing transportation costs and improving logistics quality and efficiency. This article aimed to explore the relationship between mobile communication technology and logistics SCM and control, and to use Principal Component Analysis (PCA) for research. The research results indicated that under the same other conditions, 38 and 37 people rated the X system as liked by companies A and B, accounting for 95% and 92.5% respectively; only 4 and 1 people rated the Y system as liked, accounting for 10% and 2.5% respectively; the likes and dislikes of the X system were much higher than those of the Y system. This indicated a positive relationship between mobile communication technology and logistics SCM and control systems. Logistics SCM and control based on mobile communication technology has become an important direction and development trend in current research on logistics SCM and control. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

Examining Public Sector Availability and Supply Chain Management Practices for Malaria Commodities: Findings From Northern Nigeria.

Nigeria accounts for substantial proportions of global malaria infections and deaths, with children aged younger than 5 years being the most affected group. This suggests that access to lifesaving malaria interventions could be suboptimal, especially at public health facilities where most rural dwellers seek health care. We conducted this study to ascertain if public health facilities have the commodities and the robust supply chain management (SCM) system required to deliver malaria interventions to children younger than 5 years. We conducted a cross-sectional survey in 1,858 health facilities across 7 states in Nigeria. Using structured questionnaires, we assessed the availability of selected malaria commodities required by children aged younger than 5 years. We also interviewed health workers to evaluate other core SCM activities. More than 50% of health facilities in 5 states were stocked out of malaria rapid diagnostic tests (mRDTs), and stock-out rates for artemisinin-based combination therapies (ACTs) were over 50% for almost all assessed ACTs across all states. The percentage of health facilities that received malaria commodities within the recommended lead time was below average across most states (71%). States with a higher percentage of health workers who were aware of and placed orders following the national reporting timeline and those that delivered commodities to the last mile predominantly through third-party logistics service providers tended to have higher availability of mRDTs and artemether/lumefantrine combinations. The top 2 logistics challenges were insecurity and inadequate funding. The availability of lifesaving malaria commodities across the health facilities visited was suboptimal, possibly due to several SCM challenges. The results from this study underscore the urgent need to implement effective interventions to address the observed gaps. This will contribute to reducing malaria morbidity and mortality among children aged younger than 5 years in Nigeria.

Research on the Application of Blockchain Technology in Global Supply Chain Information Sharing — Enhancing Transparency and Collaboration

The globalization of trade and commerce has introduced complexities in supply chain management (SCM), necessitating effective information sharing for enhanced transparency and collaboration. Traditional SCM systems, characterized by centralized databases and intermediaries, often lead to inefficiencies and information silos. This paper explores the application of blockchain technology in SCM, highlighting its potential to address these challenges by providing a decentralized, immutable, and secure platform for information sharing. Through a comprehensive review of literature and analysis of case studies in the food, pharmaceutical, and retail industries, this study demonstrates how blockchain enhances transparency, traceability, and efficiency. The findings indicate significant improvements in key performance metrics such as transparency, cost reduction, and risk management post-blockchain implementation. However, the study also identifies several challenges, including scalability, integration with existing systems, and regulatory compliance. The practical implications for supply chain managers and businesses are discussed, emphasizing the need for collaborative efforts and supportive regulatory frameworks to fully realize the benefits of blockchain technology in SCM.

Blockchain and Smart Contracts Based Agricultural Supply Chain

Supply chain management (SCM), product traceability, and product quality certification are some of the initial prominent uses of blockchain technology. This is because blockchain technology is built on trust and cannot be changed. The popularity of blockchain technology is increasing as it is trustworthy and cannot be changed; hence making traceability easier for information such as where food came from, thus essential for managing the agricultural food supply chain (SC). On the contrary, suggested SCM systems premised on smart contract technology and blockchain tend to be specifically apply to production and production processes. Through qualitative research, this paper suggests framework for adoption of smart contracts based on Ethereum in the agri-food SC, with the aim to establish means to adopt blockchain for checking food quality and origins in the agri-food supply chain. Remix IDE is utilised to build and test the smart contract. The significance of the framework is realised through ensuring the traceability of product safety and quality.

Blockchain based Pharmaceutical Supply Chain Management System

This initiative will use blockchain technology to address issues and inefficiencies in the pharmaceutical supply chain. The traditional pharmaceutical supply chain is vulnerable to problems such as counterfeiting, data inconsistencies, and a lack of transparency.The proposed solution uses a decentralized and transparent blockchain technology to improve the entire traceability, security, and efficiency of the supply chain. The solution uses smart contracts to automate and enforce preset business rules, lowering the risk of mistakes and fraud. Each transaction, from medicine manufacture to distribution and retail, is securely documented in an immutable ledger to provide a tamper-proof and genuine record. This degree of openness gives stakeholders, including as producers, distributors, and pharmacies, real-time information on the status and placement of pharmaceuticals.

Role of IT on the Effectiveness of Logistics and Supply Chain Management Systems in the Pharmaceutical Sector in Saudi Arabia Vision 2030

The main objective of this study is to evaluate how IT might improve the efficacy and efficiency of supply chain management and logistics systems in the pharmaceutical sector because the pharmaceutical industry is experiencing a transformation by the lofty objectives outlined by Saudi Arabia Vision 2030. The study was conducted using 150 executives working in the Saudi Arabian pharmaceutical industry's logistics and supply chain division. An open-ended survey questions were used to determine how IT technology affects pharmaceutical logistics and supply chain using non-probability sampling, logistics managers' LinkedIn accounts were selected for the sample, irrespective of the organization's size, location, or gender. SPSS statistical tools were used to analyse the data. It was found that the integration of IT tools and systems has emerged as a crucial enabler in this process. By harnessing the power of data analytics, IoT (Internet of Things), and automation, pharmaceutical companies can gain real-time insights into their supply chains. This, in turn, allows them to develop agile responses to changing market dynamics and customer expectations. Such strategic decisions, driven by IT, enable businesses to adapt quickly, reorganize their operations, and offer value-added services tailored to the specific needs of the market. Moreover, the creative application of IT solutions facilitates efficient inventory management, demand forecasting, and tracking of pharmaceutical products from manufacturing facilities to end consumers results also show that companies may simply increase the pace of the supply chain with the aid of innovative chances in major choices and judgments.

Secure pharmaceutical supply chain using blockchain in IoT cloud systems

Supply Chain Management (SCM) systems require time sequencing, coordination and tracking the movement of goods and processes. Internet of Things (IoT) and Blockchain technologies are useful to develop a secure automated SCM. IoT devices with in-built sensors and actuators help to keep track of the state, location, temperature or other parameters of an entity, and control the automation of routine as well as hazardous tasks. Blockchain technology supports time-stamping, authentication, process coordination, non-repudiation, commercial transactions, and also provides security for transactions and storage. The pharmaceutical SCM demands accurate, immediate and secure control system. Additionally, the supply chain process data from IoTs is stored and processed in Cloud by Analytics applications, for business planning and improvement. An efficient and secure IoT-Cloud-Blockchain based system for both SCM automation and analytics has been proposed in this work. It leverages a hierarchical IoT, Mist, Edge, Fog, Cloud computing (IMEFC) architecture to enhance Communication-Response-Compute-Security-Storage (CRCSS) in the system. Blockchain technology provides security for the SCM transactions and data. The efficiency of the Blockchain is measured in terms of upload time, download time and transaction fees for Bitcoin, Ethereum and Filecoin platforms. The Filecoin blockchain platform is quicker and cost-effective for larger file sizes, compared to Ethereum and Bitcoin, making it suitable for Pharmaceutical SCM systems.

Blockchain-Based Zero-Trust Supply Chain Security Integrated with Deep Reinforcement Learning for Inventory Optimization

Modern supply chain systems face significant challenges, including lack of transparency, inefficient inventory management, and vulnerability to disruptions and security threats. Traditional optimization methods often struggle to adapt to the complex and dynamic nature of these systems. This paper presents a novel blockchain-based zero-trust supply chain security framework integrated with deep reinforcement learning (SAC-rainbow) to address these challenges. The SAC-rainbow framework leverages the Soft Actor–Critic (SAC) algorithm with prioritized experience replay for inventory optimization and a blockchain-based zero-trust mechanism for secure supply chain management. The SAC-rainbow algorithm learns adaptive policies under demand uncertainty, while the blockchain architecture ensures secure, transparent, and traceable record-keeping and automated execution of supply chain transactions. An experiment using real-world supply chain data demonstrated the superior performance of the proposed framework in terms of reward maximization, inventory stability, and security metrics. The SAC-rainbow framework offers a promising solution for addressing the challenges of modern supply chains by leveraging blockchain, deep reinforcement learning, and zero-trust security principles. This research paves the way for developing secure, transparent, and efficient supply chain management systems in the face of growing complexity and security risks.