Efficient Supply Chain Research Articles

Utilizing the Internet of Things (IoT), Artificial Intelligence, Machine Learning, and Vehicle Telematics for Sustainable Growth in Small and Medium Firms (SMEs)

New technologies like the Internet of Things (IoT), artificial intelligence, machine learning, and vehicle telematics have tremendous potential to improve SMEs business processes, increase efficiency, and reduce costs to obtain a competitive advantage. However, the application of these technologies is also associated with certain difficulties for SMEs to adopt and incorporate them in their business processes due to limited resources, knowledge, and funds. The advancement in technologies such as IoT and the digitization and datafication of physical infrastructure and processes are causing massive shifts across fields. While an increasing number of devices are being connected to the internet and are capturing large volumes of information about operations, users, and the physical environment, new opportunities are arising to leverage that big data for better analytics and automation. The purpose of this paper is to assess how SMEs can apply IoT, AI, machine learning, and vehicle telematics for sustainable development by enhancing business processes, data analysis, predictive maintenance, and efficient supply chain and transportation.

Analyzing the Negative Impact of Supply Chain Regionalization

In response to increasing global trade, IKEA implemented a more efficient supply chain strategy and introduced a new policy in 2011 to localize its supply chain. The objective of this inquiry was to examine the alterations in supply chain management. Following the transition from centralized to regionalized supply chains, corporations faced adverse consequences such as decreased operational efficiency, increased operating expenses, and reduced adaptability in meeting market needs. These implications include increased complexity in supply chain management, decentralized operating models that result in repeated investments in fixed assets, and trade restrictions that create challenges in integrating information. The article proposes implementing efficient management systems, enhancing collaboration with local suppliers, and utilizing artificial intelligence to optimize the structure of the supply chain based on the observed impacts and outcomes. The objective is to offer risk management guidance for firms that have reached maximum production capacity and require a shift in their supply chain management methods.

Analyzing the Negative Impact of Supply Chain Regionalization

In response to increasing global trade, IKEA implemented a more efficient supply chain strategy and introduced a new policy in 2011 to localize its supply chain. The objective of this inquiry was to examine the alterations in supply chain management. Following the transition from centralized to regionalized supply chains, corporations faced adverse consequences such as decreased operational efficiency, increased operating expenses, and reduced adaptability in meeting market needs. These implications include increased complexity in supply chain management, decentralized operating models that result in repeated investments in fixed assets, and trade restrictions that create challenges in integrating information. The article proposes implementing efficient management systems, enhancing collaboration with local suppliers, and utilizing artificial intelligence to optimize the structure of the supply chain based on the observed impacts and outcomes. The objective is to offer risk management guidance for firms that have reached maximum production capacity and require a shift in their supply chain management methods.

Conceptual foundations of Tech-Driven logistics and supply chain management for economic competitiveness in the United Kingdom

The concept paper explores the transformative potential of technology in enhancing the logistics and supply chain sector to bolster the UK's economic competitiveness. This executive summary highlights the paper's primary objectives, theoretical frameworks, and anticipated outcomes, focusing on the integration of advanced technologies to streamline supply chain operations and drive economic growth. This paper aims to provide a comprehensive framework for understanding how technology can be leveraged to optimize logistics and supply chain management in the UK. It underscores the importance of a robust and efficient supply chain as a cornerstone of economic competitiveness, enabling businesses to reduce costs, improve delivery times, and enhance overall operational efficiency. Central to this paper is the exploration of various technological innovations that can revolutionize supply chain management. It discusses the impact of emerging technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, and big data analytics on the logistics sector. These technologies enable real-time tracking, predictive analytics, enhanced transparency, and improved decision-making processes, which are crucial for maintaining a competitive edge in the global market. The paper delves into theoretical models and frameworks that support the integration of technology into supply chain management. It examines concepts such as the Digital Supply Chain (DSC) model, which emphasizes the interconnectedness of digital technologies in creating a seamless supply chain network. Additionally, the paper explores the Supply Chain Operations Reference (SCOR) model, which provides a structured approach to measuring and improving supply chain performance through technology-driven metrics and best practices. Addressing the practical challenges of implementing tech-driven logistics, the paper highlights issues such as cybersecurity risks, high initial investment costs, and the need for skilled labor. It proposes solutions like fostering public-private partnerships, investing in cybersecurity measures, and developing training programs to build a tech-savvy workforce capable of managing advanced supply chain systems. The expected outcomes of tech-driven logistics and supply chain management include increased operational efficiency, reduced operational costs, improved customer satisfaction, and enhanced agility in responding to market changes. These improvements can significantly contribute to the UK's economic competitiveness, positioning it as a leader in the global supply chain landscape. The paper provides a strategic roadmap for integrating advanced technologies into the logistics sector. By leveraging these technologies, the UK can enhance its supply chain efficiency, drive economic growth, and maintain a competitive advantage in the global economy. The paper calls for concerted efforts from policymakers, industry leaders, and academia to foster an environment conducive to technological innovation and supply chain excellence. Keywords: Logistic, Supply Chain, Technology, Cyber Security, UK.

OPTIMIZING INVENTORY MANAGEMENT: AMAZON’S STRATEGIES IN RURAL SUPPLY CHAINS

The world's largest online retailer, Amazon, has invested heavily in infrastructure and technology to save costs and improve operations. Amazon has the most efficient supply chain in the world due to cutting-edge robotics and artificial intelligence (AI) technology that can improve productivity and worker safety. Amazon's regional distribution centers use advanced algorithms, route optimization technology, and mapping tools to effectively handle deliveries in rural areas. Artificial intelligence (AI) technologies, machine learning, and Amazon Prime membership are some initiatives that personalize recommendations and enhance the purchasing experience. To get around logistical challenges in rural locations, Amazon also collaborates with regional businesses and delivery services. To save expenses and wait times for last-mile deliveries in remote places, Amazon has made investments in micro-fulfillment centers to reduce last-mile delivery time and costs in rural areas.

Revolutionizing procurement processes in LNG operations: A synthesis of agile supply chain management using credit card facilities

Revolutionizing procurement processes in LNG operations is essential for ensuring efficient and cost-effective supply chain management. This paper presents a synthesis of agile supply chain management (SCM) principles using credit card facilities to streamline procurement processes in LNG operations. The integration of credit card facilities offers a flexible and efficient alternative to traditional procurement methods, enabling LNG companies to adapt quickly to changing market conditions and customer demands. The paper begins by discussing the challenges faced by LNG operations in traditional procurement processes, including lengthy approval processes, limited supplier options, and lack of transparency. It then introduces the concept of agile SCM and its principles, highlighting its potential to address these challenges and improve procurement efficiency. The synthesis of agile SCM principles with credit card facilities is explored in detail, focusing on how this approach can transform procurement processes in LNG operations. By utilizing credit card facilities, LNG companies can simplify the procurement process, reduce paperwork, and improve transaction speed. This approach also offers greater flexibility in supplier selection, allowing companies to quickly onboard new suppliers and respond to market changes. The paper also discusses the benefits of this approach, including cost savings, improved supplier relationships, and enhanced operational efficiency. Case studies and examples are provided to illustrate the application of agile SCM using credit card facilities in LNG operations. In conclusion, the synthesis of agile SCM principles with credit card facilities offers a transformative approach to procurement in LNG operations. By adopting this approach, LNG companies can enhance their competitive advantage, improve procurement efficiency, and drive overall operational excellence in the LNG industry. Keywords: Revolutionizing, Procurement Processes, LNG Operations, Credit Cards Facilities, Agile Supply Chain Management.

Comparison of Alfamart and Indomaret Supply Chain Efficiency in Handling Consumer Demand in Indonesia

This study aims to provide a comparative analysis of the supply chain efficiency of two major retail chains in Indonesia, Alfamart and Indomaret, in handling consumer demand. The research focuses on key areas such as procurement, inventory management, distribution, and technology integration. Utilizing qualitative methods, including in-depth interviews with supply chain managers and document analysis, the study reveals that both companies have developed effective supply chain strategies. Alfamart is noted for its flexibility and speed of response, while Indomaret emphasizes stability and efficiency. The findings, supported by specific data on inventory turnover rates and distribution times, suggest that improved supply chain management can significantly impact product availability, customer service, and consumer satisfaction. Recommendations for both companies include optimizing logistics processes, adopting advanced technology, and enhancing collaboration with suppliers, aiming to reduce operational costs and increase consumer satisfaction. This study highlights the importance of continuous development and technology integration in supply chain systems to maintain a competitive edge in the retail market. By implementing tailored strategies, Alfamart and Indomaret can further improve their supply chain efficiency, thereby enhancing customer satisfaction and loyalty. References to relevant studies and journals support these conclusions, emphasizing the critical role of efficient supply chain management in the retail industry. The study's limitations and future research directions are also discussed to provide a comprehensive understanding of the topic.

The Effects of E-Procurement Tools on Supply Chain Performance of Procuring Entities in Tanzania: Mediation Effect of Behavioral Intention

The objective of this study was to look into the impact of an e-procurement tools on the supply chain performance of procuring entities in Tanzania. The study examined the direct and indirect effects of e-sourcing, e-tendering, and e-contract management on supply chain performance. The Social Information Processing theory, the Affect Infusion Model, and the original Unified Theory of Acceptance and Use of Technology guided the research. This study used an explanatory cross-sectional survey research design. The study used the positivist research paradigm, with a sample size of 322 respondents obtained through stratified sampling. Data were gathered using a questionnaire and a documentary review. Partial Squares Structural Equation Modeling with the help of SmartPLS 4 software was used for inferential statistics analysis, while IBM SPSS Statistics Version 26 was used for descriptive statistics analysis based on respondent profile data. The findings indicate that e-sourcing, e-tendering, and e-contract management have a positive direct and indirect impact on supply chain performance. The study concludes that, e-sourcing, e-tendering, and e-contracting are variables that influence supply chain performance through the behavioral intention to use e-procurement tools. According to the findings of this study, Tanzanian public procurement bodies should look into the effectiveness of e-procurement tools in ensuring effective and efficient supply chain

Health System Responses to Address Treatment Gaps of Unsuppressed Adolescents on HIV Treatment in Public Primary Health Care Facilities in Windhoek, Namibia.

Adolescents living with HIV (ALHIV) face unique challenges that result in persistent gaps in achieving and maintaining suppressed viral load. Although effective evidence-based interventions to address treatment gaps in adolescents are readily available, health systems in resource-constrained, high HIV prevalence settings are challenged to implement them to achieve epidemic control. Here, we describe the health system responses to address the treatment gap of unsuppressed ALHIV on antiretroviral therapy in Windhoek, Namibia. We conducted a qualitative descriptive and exploratory study in Windhoek between June and October 2023. Nineteen purposively selected key informants, ranging from pediatric HIV program managers to healthcare providers, were interviewed. In-depth interviews were audio-recorded and transcribed verbatim. The transcripts were uploaded to ATLAS.ti and subjected to thematic analysis. The four main themes elucidated challenges related to adherence and retention as well as health system responses in the form of interventions and support programs. The predominant adherence and retention challenges faced by ALHIV were mental health issues, behavioral and medication-related challenges, and inadequate care and social support. The health system responses to the identified challenges included providing psychosocial support, peer support, optimization of treatment and care, and the utilization of effective service delivery models. Key health system support elements identified included adequately capacitated human resources, efficient medication supply chain systems, creating and maintaining an enabling environment for optimum care, and robust monitoring systems as essential to program success. The health system responses to address the remaining treatment gaps of unsuppressed ALHIV in Windhoek are quite varied and, although evidence-based, appear to be siloed. We recommend harmonized, multifaceted guidance, integrating psychosocial, treatment, care, and peer-led support, and strengthening client-centred differentiated service delivery models for unsuppressed adolescents.

Lean Supply Chain Management

In current competitive market, efficient supply chain management is essential to achieving sustainable business success. This paper explores the integration of lean principles into supply chain operations and its impact on enhancing the value creation stream. Lean principles, originally developed in the manufacturing sector, focus on waste reduction, continuous improvement, and value maximization from the customer perspective. By applying these principles to supply chain management, organizations can streamline processes, reduce costs, and improve overall efficiency. The study investigates key lean methodologies, such as Just-In-Time inventory, Total Quality Management and the 5S system, and examines their application in various stages of the supply chain, including procurement, production, and distribution. Through a combination of case studies and empirical data, the research highlights how lean initiatives lead to significant improvements in supply chain performance metrics, such as lead time, inventory levels, and defect rates. Findings demonstrate that lean supply chain practices foster a culture of continuous improvement and collaboration among supply chain partners, ultimately enhancing the responsiveness and agility of the supply chain. Furthermore, the paper discusses the challenges and best practices for implementing lean principles in supply chain management, providing a roadmap for organizations seeking to optimize their supply chain value creation. The application of lean principles in supply chain management not only drives operational excellence but also contributes to greater customer satisfaction and competitive advantage. This paper underscores the strategic importance of lean thinking in creating a robust and value-driven supply chain.

STITCHING COSTS TOGETHER: THE LOGISTICS BEHIND TEXTILE PRICING

Logistics' capacity to efficiently handle the flow of resources, information, and items from point of origin to point of consumption makes it an indispensable tool in many facets of business and daily life. This article explores the significant impact of logistics costs on textile pricing, considering factors like transportation, warehousing, customs, handling, supply chain efficiency, technological integration, environmental regulations, economic and political influences. Efficient supply chain management is vital, as it covers stages from raw material procurement to product distribution. This articles also highlights the importance of managing modes of transportation, warehousing, customs compliance and packaging. The role of technology and sustainability in reducing costs is emphasized, along with the impact of economic and political factors. The study underscores the necessity of optimizing logistics to maintain competitive pricing and enhance market for the textile products.

Decision-Making for The Selection of Vegetable Suppliers for Foods Distributors uses AHP and TOPSIS

The evaluation of supplier selection is an important aspect that needs to be considered in supply chain management. The best suppliers contribute to a more efficient supply chain system. Companies operating in the food distribution sector are particularly attentive to their suppliers. One of the products that receives significant attention is spinach, a perishable item, making supplier evaluation crucial. This research aims to evaluate the supplier selection of spinach products based on several criteria, such as delivery, quality, price, service, and location. Weighting is done using the Analytical Hierarchy Process (AHP). In this case, assessment or weighting is carried out by distributing questionnaires to three respondents in the field. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is employed to determine the rankings of each alternative. The results of this study indicate that the price criterion has the highest weight with a weight of 0.39. The recommended selected alternative is alternative 4, with the highest average value (Vi) based on the assessments of three experts. This model proves capable of addressing the issues of supplier selection evaluation, leading to the selection of alternative or supplier 4 as the spinach supplier for the food distribution company.

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.

Resilient and robust management policy for multi‐stage supply chains with perishable goods and inaccurate forecast information: A distributed model predictive control approach

AbstractAn efficient supply chain (SC) management requires that decisions are taken to minimize the effects of parametric uncertainties and unpredictable external disturbances. In this article, we consider this problem with reference to a multi‐stage SC (MSSC) whose dynamics is characterized by the following elements of complexity: perishable goods with uncertain perishability rate, an uncertain future customer demand that is only known to fluctuate inside a given compact set. The problem we face is to define a resilient and robust Replenishment Policy (RP) such that at any stage the following requirements are satisfied: the fulfilled demand is maximized, overstocking is avoided, the bullwhip effect (BE) is mitigated. These objectives should be pursued despite the mentioned uncertainties and unexpected customer demand behaviors violating the bounds of the compact set. Robustness is here intended with respect to uncertainty on the perishability rate, and resiliency as the ability to quickly react to the mentioned unforeseen customer demands. We propose a method based on a distributed resilient robust model predictive control (DRRMPC) approach. Each local robust MPC (RMPC) involves solving a Min‐Max constrained optimization problem (MMCOP). To drastically reduce the numerical complexity of each MMCOP, we parametrize its solution by means of B‐spline functions.

A robust optimization to dynamic supplier decisions and supply allocation problems in the multi-retail industry

The research focuses on multi-retail distribution with a strategic distribution network. Challenges include intense competition, logistical and transportation complexities requiring robust infrastructure like warehouses and efficient supply chain management, as well as operational inefficiencies and distribution costs. To address these issues, a model is applied to make strategic decisions, such as determining the necessary number of facilities to minimize total supply chain network operational costs and infrastructure for retail distribution. The outcome is a model that introduces a novel approach to enhancing supply chain efficiency and effectiveness from production to distribution stages, thereby reducing system costs, including ordering costs and inventory handling. Costs and loss costs resulting from remaining products produced can be minimized by considering networks, multiple suppliers, multiple warehouses, Distribution Centers (DC), multiple retailers, and multiple products, factoring in the distances between facilities in the network. Subsequently, comprehensive testing of inspection, distribution, and retail parameters is conducted, with a focus on specific periods and product types. When applying this model, certain characteristics need to be considered regarding the importance of selecting efficient suppliers of goods, such as procurement, performance improvement, and the number of supply chains and supply chain systems. This research introduces novelty in production methods that can lead to increased customer satisfaction, sales, market share, profit margins, more effective brand advertising, and revenue streams. In this process, the research undergoes a training, testing, and validation process in forming a strategic multi-retail distribution network model, spanning a total of 52 epochs. This process yields accuracy values for training at 90 %, testing at 92 %, and validation at 94 %

Role of industry 4.0 technologies and human-machine interaction for de-carbonization of food supply chains

A decarbonized food supply chain ensures that we have access to safe, nutritious, and affordable food with a reduced carbon footprint. It not only helps in reducing greenhouse gas emissions but also enhances food security by making the supply chain more resilient to climate-related disruptions, ensuring stable food production for a growing global population. Further, there is an increasing consumer demand for sustainably produced food, and meeting this demand is crucial for maintaining relevance and competitiveness in the global market. Without a well-functioning decarbonized supply chain, it would be much harder for farmers, processors, distributors, and retailers to promote food security and improve public health. Decarbonization in the food supply chain is a complex process that requires a multifaceted approach, with the entire supply chain from farm to fork being examined. Technological advances such as Industry 4.0, with a human-centric solution, could be an answer. By combining the power of Industry 4.0 with decarbonization efforts, the creation of a more sustainable and efficient food supply chain can be promised. Hence, this study utilizes a mixed-method approach to examine the Indian food supply chain, and analyses the factors that motivate stakeholders to implement decarbonized technologies. It uses opinions from industry as well as from academic experts for employing integrated Analytic hierarchy process (AHP) and Interpretive structural modelling (ISM). AHP revealed that “International community pressure” is the most critical factor. Further, ISM is used to explain the interrelationships among the identified factors, providing a hierarchical model. These key findings can assist policymakers to develop and refine regulations. Further, it can also help stakeholders to make an informed decision while allocating resources towards new technologies.

The Impact of Total Quality Management on Supply Chain Management in Five-Star Hotels in the Kingdom of Saudi Arabia

The research investigates the impact of Total Quality Management (TQM) on Supply Chain Management (SCM) in five-star hotels in Saudi Arabia, focusing on how integrating TQM principles can enhance operational efficiency, reduce costs, and improve customer satisfaction within the hospitality sector. The study emphasizes the convergence of TQM and SCM, highlighting continuous improvement, a culture of quality, and customer satisfaction as key impacts of TQM on SCM. TQM encourages organizations to evaluate and enhance processes continuously, leading to more streamlined and efficient supply chains. The integration of TQM principles into SCM processes aims to achieve higher levels of customer satisfaction, improved product quality, reduced costs, and increased operational efficiency. Several challenges in implementing TQM in Saudi five-star hotels are identified, including communication barriers, resistance to change, and resource constraints. The study proposes a comprehensive strategy for successful TQM and SCM integration, emphasizing leadership commitment, employee involvement, and the use of advanced technologies for real-time data sharing and performance monitoring. The findings are significant for hotel managers and decision-makers, providing evidence-based recommendations for implementing TQM principles to optimize supply chain processes. By adopting TQM practices, five-star hotels in Saudi Arabia can enhance their operational performance, achieve cost optimization, and ensure high levels of customer satisfaction, ultimately gaining a competitive advantage in the dynamic hospitality industry.

Eco-efficiency of hydrogen supply chains: NDEA-based approach

While there is a broad agreement in academia and the business community that hydrogen (H2) could significantly contribute to energy policy goals, there is no single shared vision of a sustainable hydrogen supply chain (HSC). The large number of sources for hydrogen production (various fossil fuels, biomass, water) and the different methods for extracting, distributing, and storing it make creating an efficient supply chain a challenge. The commonly used optimization techniques based on linear programming require a new mathematical problem to be formulated and solved for each case. Instead, this study aims to develop an innovative optimization approach for the hydrogen supply chain that does not require complete knowledge of the end-user hydrogen demand and applies to any region. Based on the Network Data Envelopment Analysis (NDEA) method, hybrid Life Cycle Analysis (LCA) and Value Sensitive Design (VSD) approach, the integral eco-efficiency indicator constructed by this approach is a weighted linear combination of economic parameters (CAPEX and OPEX) and environmental parameters (ecotoxicity, oxidation potential, eutrophication potential and climate change). The proposed approach has been tested on 22 different hydrogen supply chain options, confirming its efficiency and ability to inform national and international decision-making. For example, a pan-European decision support system could be based on continuously updated data from the EcoInvent database on environmental parameters of hydrogen production, storage, and transport technologies, and updated data on economic parameters from the European Hydrogen Observatory.

Accounting information sharing within buyer-supplier collaborations: Insights from a developing country

Background: The significance of the context, or the environment, is pivotal in influencing the practices of management accounting.Objectives: This article aims to explore the significance, methods and challenges of accounting information exchange in buyer–supplier collaborations.Method: In buyer–supplier collaborations, data are gathered from 13 semi-structured interviews and 250 questionnaires. The analysis is conducted using SPSS version 25, employing non-parametric Kruskal–Wallis test and content analysis techniques.Results: Respondents recognise its benefits but prefer informal communication. Challenges such as diverse systems and mistrust hinder formal sharing. Despite obstacles, informal channels remain effective, although concerns about data leakage persist, leading to a conservative approach.Conclusion: In the Egyptian textile supply chain, members prioritise individual goals over collective ones. Informal methods, such as backdoor access, facilitate accounting information sharing among buyer–supplier partnerships. Formal sharing protocols are lacking, with limited one-way technical data exchange. Trust issues and data security concerns persist. Despite the absence of formal disclosure, cost estimations remain feasible. The company adopts a conservative approach, limiting access to records in most cases.Contribution: In essence, the article not only sheds light on the complexities and nuances surrounding accounting information sharing in the textile supply chain but also emphasises the resilience of informal communication channels in overcoming challenges. As the industry navigates these dynamics, recognising the importance of relational ties and informal exchanges could be pivotal in fostering a more efficient and collaborative supply chain ecosystem.

Supply chain management (SCM) framework for small and medium manufacturing enterprises (SMEs) in Ghana

Efficient supply chain management is essential for small and medium-sized enterprises (SMEs) in Ghana to guarantee a dependable flow of products and services, sustain competitiveness, and promote growth and job creation. The objective of this study is to analyse the current supply chain models utilised by manufacturing small and medium-sized enterprises (SMEs) in Ghana. Additionally, it intends to propose a prototype model that will aid manufacturing SMEs in achieving sustainability, growth, and future expansion in Ghana and other regions. The Conceptual framework was developed by examining variables identified in the existing literature on supplier management practices in small and medium-sized enterprises (SMEs), as well as inventory management approaches that are relevant to SMEs. A structured questionnaire was employed to collect data from the main source. This study employs a mixed method approach, which includes the participation of 363 respondents. Interviews and surveys were carried out with small and medium-sized enterprise (SME) owners and managers. The data was analysed using the SPSS (v 27.0) computer application, which involved both inferential and descriptive statistical analysis. The findings revealed essential components of the prototype, such as the implementation of supply management (SM), proficient information management (IM), streamlined distribution strategies, and strong marketing and sales strategies, in addition to customer relationship management (CRM) and effective post-sales services. Implementing these supply chain management (SCM) principles effectively can guarantee the sustainability, growth, employment generation, and overall performance of small and medium-sized enterprises (SMEs) in Ghana.