9 SCM – Supply Chain Management

Organizations rely on various types of information systems (IS) to manage day-to-day business and make decisions such as enterprise resource planning (ERP) and supply chain management (SCM) systems. Organizations rely on ERP systems to replace their legacy systems, integrate core business processes and to help adding value and increasing visibility. Additionally, SCM systems help organizations to enhance relationships with supply chain members. It is essential for organizations to measure their business performance by taking into consideration intra-organizational and inter-organizational indicators. Therefore, the integration between ERP and SCM systems is a key to enable more business performance; that were otherwise hidden. Accordingly, the motive for this paper is to study the influence of ERP-SCM integration on enabling more business performance measures. For this reason, a business performance measures framework was constructed and then tested on two organizations using multi-case study qualitative research approach. Analysis results indicated that integrating ERP and SCM systems would render more performance measures and hence enable better and wider-scope evaluation. Consequently, managers are more informed and accordingly are able to make high quality decisions.

The paper presents possible solutions to small farmers in the agricultural sector in a small island setting grappling with challenges of enhancing their local industry and import substitution through a supply-demand chain framework. In 2005, Hawaiian farms produced approximately 363,200 kg of avocados. However, Hawaiian demand for these fruits required an additional 908,000 kg of avocados that were supplied through imports. At the same time, it is worth noting; almost 49% of locally produced avocados did not reach the market. These facts clearly suggest inefficiencies in the local avocado supply chain. Review of the literature on supply chain management suggests a sustainable avocado industry requires an integrated supply and demand chain management system. Hence, a modified conceptual model of supply-chain management called the Supply Demand Integrated Management (SDIM) model is proposed in this paper. Traditional supply chains contain three functional components: supply coordination, physical production and logistic management. In the new model, we propose adding R4D (Research for Development), a public good provided by the government to agricultural industries as an integral part of the supply-demand chain system. It articulates the significance of research and supply chain partnerships between small growers, industry groups, and public agencies. A well-integrated demand/supply chain in the avocado industry allows sharing of vital market information which can contribute to long-term strategic decisions that help local avocado growers increase their competitiveness against foreign imports. It also provides metrics in terms of consumer satisfaction, profitability, competitiveness, self-sufficiency, import substitution and sustainability. The SDIM model as applied to the avocado industry suggests two hypotheses relevant to the current situation. The hypotheses are: (1) There is a lack of coordination between what the farmers are growing and the chefs' (a high-end customer/buyer) preferences; (2) Forming an avocado farmer cooperative will enhance the profitability of local farmers. Survey data was collected from Hawaiian chefs and avocado farmers. Data was analysed using a Duncan multi-range test and a mathematical model, respectively, to test the hypotheses. The test revealed a lack of coordination between what the farmers are growing and buyer preferences. The results from the mathematical model suggested that formation of an avocado marketing cooperative would enhance the profitability of local farmers. Thus, the SDIM framework expands existing body of knowledge about supply chain management and provides useful information to local avocado growers that can help strengthen their supply and demand chain management.

Contributors

In the new dynamic economic environment where supply chains increasingly face constant change and instability, the better supply chain planning and management enabled by advanced data management systems provides enhanced value proposition for customers resulting in improved profitability for firms along the supply chain. However, achieving such high quality level of supply chain visibility is not an easy task requiring technological capability, organizational willingness and data quality management intensively demanding attention from both managers and scholars. Therefore, the chapter begins with an overview of the role of information systems in supply chain management followed by a discussion regarding the role of information quality in successful supply chain interactions. Data quality management in terms of strategy and data governance is then reviewed. Finally, data quality tools complementing strategy dimension of data quality management are studied.

Implementation and adoption of new technologies are gaining the result of smooth supply chain and logistics operations. Internet of things (IoT) artificial intelligence, including data mining, intensified in all fields of life, particularly in supply chain management and operations. Blockchain technology has the capability to reform the supply chain and logistics operations management. Blockchain provides digital database solutions for all transactions across supply chain and operations management. Radio frequency identification device (RFID) is also helping technology transmit electromagnetic waves to radio-compatible integrated circuits to look after and manage the entire supply chain and logistics operations management. The Fourth Industry Revolution 4.0 refers to the automation, interconnectivity, machine learning, and real-time data that help supply chain and logistics operations management in the 21st century.

Enterprise Resource Planning (ERP) and Supply Chain Management (SCM) systems have been growing in popularity across various segments of the electronic industry over the past few years. New initiatives in resources planning, electronic commerce and extended supply chain are fuelling the trend among corporations toward integrating strategic business applications. ERP systems assist enterprises in automating and integrating corporate cross-functions. SCM systems support information flow from various players in the supply side, reducing transaction cost and facilitating supplier-customer interactions. Given the popularity and importance of ERP and SCM systems, this research aims to examine and compare these two systems from the standpoint of organisational and technological implementation and explores the trend and opportunity of their system integration. Furthermore, the authors present and analyse two potential approaches to linking ERP and SCM systems, which indeed promote their integration. This article is concluded with the challenges and implications of the ERP and SCM system integration.

The big floods that hit Malaysia in December 2014 to January 2015 affected more than 200,000 people and caused 21 fatalities. Shortage of food supply, clean water, and problems caused by unreliable communication continued to affect flood victims even after the flood water had receded. As aid is crucial, the correct management of the supply chain is important to allow a correct and relevant assistance to the needy population. Thus, the Supply Chain Management (SCM) system, which includes inventory management system, automatic matching of supply and demand, consumption trend analysis and data visualization is critical so that the delivery of humanitarian aid can be executed on time, which in turn reduces the impact of the disaster. Lack of either one of these components can lead to problems of forecasting the needs of the flood victims and causes unnecessary delays in decision making. The main objective of this paper is to propose a framework for SCM to support flood disaster relief operation and describe the different phases within the supply chain of food aid in a humanitarian crisis. This proposed framework is to enhance the existing SCM system so that the three phases involved in a flood disaster, which are pre-disaster, during disaster and post-disaster can be managed in a more systematic way. Based on the proposed framework, a supply chain management system can be developed to include inventory management system for monitoring, managing and distributing goods; matching of supply and demand for overcoming demand uncertainty; and data visualization for quick decision making.

The integration of machine learning (ML) in supply chain management (SCM) is revolutionizing the way financial transactions are processed, monitored, and optimized. Traditional financial transaction systems within supply chains often suffer from inefficiencies, latency, fraud vulnerabilities, and limited scalability. This paper explores various machine learning approaches that enhance financial transactions in SCM by improving accuracy, speed, security, and decision-making. Specifically, the study examines supervised learning techniques such as regression and classification for credit risk assessment and payment forecasting, as well as unsupervised learning for anomaly detection and fraud prevention in transactional data. Reinforcement learning is also discussed in the context of dynamic pricing, payment scheduling, and financial risk optimization across supplier networks. Deep learning models, particularly those using neural networks, are highlighted for their capabilities in real-time financial transaction processing and predictive analytics in complex, multi-tiered supply chains. Case studies from leading industries demonstrate the effectiveness of ML in enhancing transparency, reducing transaction costs, and increasing trust between supply chain partners. Furthermore, the paper addresses challenges such as data quality, interpretability of models, regulatory compliance, and the need for robust infrastructure to support ML implementation. The research also outlines best practices for integrating ML into existing financial systems and supply chain platforms, emphasizing the importance of cross-functional collaboration among IT, finance, and operations teams. The study concludes that the adoption of ML-driven solutions can significantly elevate the performance of financial transaction systems in SCM, resulting in improved cash flow management, better supplier relationships, and more resilient supply networks. These findings offer valuable insights for businesses seeking to leverage machine learning for strategic financial and supply chain innovation. Keywords: Machine Learning, Financial Transactions, Supply Chain Management, Predictive Analytics, Anomaly Detection, Reinforcement Learning, Credit Risk Assessment, Fraud Prevention, Dynamic Pricing, Transaction Optimization.

The challenges presented by recent changes in the business environment have sharpened the focus on the need for robust approaches to supply chain improvement. For most companies around the world, resources have been reduced, inventory drained, technology spending curtailed, and core processes scaled back in order to adjust to the current reality of reduced demand. So, this paper mainly concentrates on giving some tips based on recession recovery strategies. Firstly, this paper discussed the supply chain management trends in and up to 2015, then general concept of recession and the relation between recession and supply chain management system, then some fatal mistakes of recession recovery according to the supply chain experts and recession and recovery related literature reviews are summarized to identify ultimately the recession recovery strategies for the manufacturer. The paper ended with some supply chain management related predictions, tips for reducing supply chain barriers. Moreover, a brief section of this paper also here highlights the supply-chain infrastructure helpful for recession recovery that is one of the important factors for the reason of cost-reduction, resource planning and maintenance etc. in today's supply chain management and related environment.

The challenges presented by recent changes in the business environment have sharpened the focus on the need for robust approaches to supply chain improvement. For most companies around the world, resources have been reduced, inventory drained, technology spending curtailed, and core processes scaled back in order to adjust to the current reality of reduced demand. So, this paper mainly concentrates on giving some tips based on recession recovery strategies. Firstly, this paper discussed the supply chain management trends in and up to 2015, then general concept of recession and the relation between recession and supply chain management system, then some fatal mistakes of recession recovery according to the supply chain experts and recession and recovery related literature reviews are summarized to identify ultimately the recession recovery strategies for the manufacturer. The paper ended with some supply chain management related predictions, tips for reducing supply chain barriers. Moreover, a brief section of this paper also here highlights the supply-chain infrastructure helpful for recession recovery that is one of the important factors for the reason of cost-reduction, resource planning and maintenance etc. in today's supply chain management and related environment.

This study on the evaluation of perception towards capacity building programs and workforce skills in HIV/AIDS supply chain management in Nigeria comprised of research objectives and questions. A structured self-completion pre-tested questionnaire (422) was administered to respondents, 396 were completed and returned, with a response rate of (93. 8%). The respondents (mostly managers, supervisors, specialists, advisors, and officers) were drawn from all levels of the HIV/AIDS supply chain sector and work, the majority from national and state levels, with significant experience and workable knowledge of supply chain management. The study revealed that perception towards capacity-building programs and workforce skills in supply chain management reflects reality and entails a good understanding of the HIV/AIDS supply chain management system, mean ± standard deviation score (3.695 ± 0.889 and 3.455±0.643) on a Likert scale of 1-5 (5-point scale) respectively. Reliability analysis was carried out, and Cronbach’s alpha (α) showed the questionnaire reached acceptable reliability, α = 0.886 (perception towards capacity building programs), and less reliable, α = 0.071 (perception towards workforce skills) in HIV/AIDS supply chain management. Inferential analysis revealed that socio-demographic characteristics such as age, years of experience, and job title/rank influence the perception of workforce skills in supply chain management (P<0.05). Federal and State Ministries of Health should ensure proper and effective supervision to prevent the workforce from having a wrong understanding of its capacity-building programs and workforce skills to avoid its harmful effect.

Increased global competition and complex patterns of customer demand have made supply chain management (SCM) extremely challenging for any company. Traditional SCM systems with centralized data storage architecture lead to data access and privacy challenges across the diverse spectrum of stakeholders in supply chain management. Blockchain alleviates the problem of data access and privacy but the task of developing an SCM solution over a blockchain from scratch is challenging, complex, and time-consuming. In this paper, we present our Nocode Development Platform (NCDP) that allows users to build customized SCM applications using a user-friendly interface. Once a customized supply chain is built, our platform autogenerates and deploys the smart contract on the Ethereum blockchain, thus easing the deployment of an SCM solution on the blockchain. A product can be tracked at any point in the supply chain using different tracking mechanisms. Our platform leverages the blockchain concept to provide supply chain data transparency in a secure manner to diverse stakeholders in a decentralized ecosystem. Our platform significantly reduces the time and investment to migrate existing SCM systems on the blockchain.

The Radio Frequency Identification has opened a new phase in Supply Chain Management that must be considered by software reuse. The System of Systems presents in Supply Chain Management make use of very reusable information through of repeated scenarios and actors with the same function. However, do not found a specific domain analysis process based on a well defined set of guidelines and steps to the supply chain domain. This paper present an approach of Domain Analysis to developing Radio Frequency Indentification Systems in Supply Chain Management.

Designing fuzzy-genetic learner model based on multi-agent systems in supply chain management

Abstract—To date, the knowledge regarding the potential uses of Geographic Information Systems (GIS) in Supply Chain Management (SCM) and how GIS applications can deliver business benefits are limited. To explore the current uses of GIS in SCM, a systematic literature review (SLR) was conducted. Three databases (Web of Science, ProQuest, and Business Source Premier) were explored using the PreferredReporting Items for Systematic Reviews and Meta-Analyses(PRISMA) methodology. A total of 79 papers were included in the literature review. The combined findings showed that the GIS applications in SCM were a) network/transportation analysis/ routing algorithms (53 papers), b) Location-Allocation Site Search/ Selection (using multiple-criteria decision analysis [MCDA]) (45 papers), c) spatial analysis(people or land) (34 papers), d) connection with optimisation tools (32 papers) and e) visualisation/ monitoring or BuildingInformation Modelling (BIM) (8 papers). The industries and related Supply Chain (SC) domains that used GIS were a)Biomass Biofuel/Wood (33), b) Logistics (22), c)Humanitarian/ Emergency/ Healthcare (10), d) Food/ Agro-Industry (5), e) Petroleum/ Coal/ Shale Gas (3), f) FaecalSludge (2), g) Recycle & product footprint (2) and h)Construction (2). The research case studies took place in 26 countries, and the most prominent GIS software provider wasEsri’s ArcGIS. The findings of the first literature review ofthe GIS applications in SCM showed that many businessindustries have not utilised the GIS capabilities, such asvisualisation, spatial analysis, optimisation, and site research. However, GIS can significantly contribute to SCM decisionmaking by providing answers to cost minimisation, supplierselection, facility location, SC network configuration andasset management. Keywords— Supply Chain Management, Logistics, SystematicLiterature Review, GIS