Successful Supply Chain Research Articles

Resilience in the Face of Uncertainty: Navigating Supply Chain Challenges Through Proactive Risk Surveillance and Mitigation Strategies among SMEs in ASEAN countries

Background Supply chain risk management is crucial for the consumer products industry due to its vulnerability to uncertainties and risks. This study investigates the relationship between supply chain risks and performance among SMEs in the ASEAN countries. Supply chain performance, defined as meeting end-customer demands, involves ensuring commodity availability, on-time deliveries, and maintaining sufficient inventory and capacity across organizational boundaries from raw materials to the final consumer. Methods The study utilized a sample of 385 entrepreneurs from the consumer products industry in ASEAN countries. The research was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to establish the correlation between supply chain performance and risks. Factors related to the ASEAN Economic Community (AEC) for economic integration and regional trade agreements were incorporated to understand the diverse economic development, infrastructure, and regulatory environments across nations. Results The analysis revealed a strong correlation between supply chain risks and performance. Entrepreneurs in the consumer products industry should collaborate closely with governmental organizations to address the unique challenges posed by regulatory landscapes, cross-border logistics, and geopolitical risks within the ASEAN region. Adapting to cultural nuances and market variations, along with optimizing logistics and infrastructure, are crucial for successful supply chain risk management. Conclusions Effective supply chain risk management significantly enhances the performance of the consumer products industry’s supply chain. Entrepreneurs in this sector should align their strategies with regional and national governments to proactively address issues and mitigate risks. Continuous monitoring and adaptive measures are necessary to handle emerging risks in the dynamic market landscape. The study provides valuable insights for policymakers, suggesting that supportive frameworks and policies are necessary to bolster SME capabilities in risk management. By fostering a collaborative environment between the public and private sectors, ASEAN countries can enhance overall supply chain resilience. Future research could explore sector-specific risk management practices and their impact on supply chain robustness, underscoring the imperative for SMEs to adopt proactive and integrated risk management approaches to thrive in a complex and evolving economic environment.

Supplier Communication and Performance of Micro, Small and Medium Enterprises in Nairobi City County,Kenya

The study investigates the relationship between supplier communication and the performance of Micro, Small, and Medium Enterprises (MSMEs) in Nairobi City County, Kenya. Supplier communication was found to play a pivotal role in the operational efficiency and overall performance of MSMEs, especially in dynamic markets. Despite adopting Supplier Relationship Management (SRM) practices, many MSMEs continued to experience challenges such as poor record management, unclear expectations, and a lack of timely feedback. These communication issues contributed to delays, misunderstandings, and increased costs, which negatively impacted business growth. The study applied the Communication Accommodation Theory to explain how MSMEs adapted their communication styles in both high-context and low-context cultures. Using a cross-sectional research design, the study collected data from 373 MSMEs under the Access to Government Procurement Opportunities (AGPO) program. The results revealed a significant positive relationship between supplier communication and performance, with regression analysis showing that supplier communication explained 58.7% of the variance in MSME performance. The findings aligned with previous studies, emphasizing the importance of communication for successful supplier collaboration and supply chain management. The study concluded that frequent, transparent communication with suppliers improved product and service delivery and operational efficiency. Recommendations included investing in technologies that enhance communication and developing policies to support ongoing supplier relationship management. Further research could explore the impact of digital technologies on supplier communication and how communication with international suppliers influences MSME performance.

Supply chain integration and supply chain performance: evidence from the textile industry

This study aims to determine the impact of supply chain integration on supply chain performance and the Internet of Things (IoT) mediating role in Sindh Pakistan's textile industry. Primary data was gathered with the help of questionnaires from previous studies. The employees were requested to complete the questionnaire online, and the concerned HR department was officially contacted. To achieve the research objectives of this study, SmartPLS version 3 is applied. The findings of this study confirmed the direct effect of internal integration, supplier integration, and the Internet of Things on supply chain performance. In addition to this, the present study also confirmed the partial mediation effect of IoT between internal integration, supplier integration, and supply chain performance in the textile industry of Sindh, Pakistan, a developing country. This research uses RBV theory to examine the textile industry's supply chain and effectiveness. Internal integration, partner integration, IoT, and supply chain performance are discussed in the research. This clarifies how these technologies operate together to give organizations a competitive advantage. The study shows how the Internet of Things (IoT) is a go-between for integration and supply chain success. Textile business managers should consider investing money into IoT devices and using their benefits. Companies can get real-time information about their supply chain by using IoT devices and monitors.

Optimizing Distribution Center Network Design for a Cosmetic Manufacturer: A Case Study on Lightening Series Package Product

Ensuring customer satisfaction while maintaining optimal cost efficiency is paramount in designing a successful supply chain structure. This study explores the vital role of service quality and delivery efficiency in achieving customer satisfaction and a superior overall experience through a cost-effective supply chain structure. Furthermore, the strategic positioning of Distribution Centers (DC) and the geographical distribution of consumers serve as additional determinants in the quest to devise the most effective DC scheme that meets consumer expectations. Four simulation scenarios, each with measurable parameters including response time, lead time, and operational costs, were evaluated to identify the most cost-efficient and responsive solution. These parameters encompassed the performance metrics of the supply chain structure model, namely response time and lead time, in conjunction with the total operational cost of each scenario. Our findings reveal that scenario 1 emerges as the most cost-effective with the lowest distribution costs and shortest customer lead time. This scenario consistently maintains the lowest distribution costs from the first to the seventh year. Despite a surge in forecasted demand in the 7th year, resulting in an increase in total distribution costs to Rp. 3,392,793,440, scenario 1 still prevails with overall vehicle costs decreasing and the smallest percentage cost at 17.50%, thus yielding the most economical outcome compared to alternative scenarios. Scenario 4 offers a similar outcome to scenario 1 but incurs higher daily vehicle operating costs. The cost-effectiveness demonstrated by scenario 4 further highlights the significance of strategic DC placement in achieving optimal supply chain outcomes.

A decision support system for sustainable supplier selection problem: Evidence from a radiator manufacturing industry

Supplier selection is the basis of a successful supply chain. It is also a key factor in improving the competitiveness of an organization. Being a complex process, the supplier selection plays an important role in upgrading the supply chain. The purpose of this research is to present an integrated approach based on fuzzy best-worst method (BWM) and failure mode and effects analysis (FMEA) for sustainable supplier selection considering seasonal quantity discounts and supplier risk for a radiator manufacturing company. Therefore, as the aim implies, this study addresses how organizations develop a sustainable supplier selection framework by integrating linear programming and decision-making in presence of seasonal discounts. To this end, fuzzy BWM and FMEA were employed to calculate weighting factors for different selection criteria and evaluate the supplier risk, respectively. Then, suppliers were ranked using the so-called technique for order of preference by similarity to ideal solution (TOPSIS). Finally, the discount type was examined by the LP-metric method. Results of the fuzzy BWM showed that the customer satisfaction was the criterion of highest priority, followed by long-term relationship, and then pollution control, among the total of 13 criteria considered in this work. Outputs of the TOPSIS referred to the supplier 3 as the top-ranked supplier, followed by supplier 6 and then supplier 1.

Supplier Evaluation in Supply Chain Environment Based on Radial Basis Function Neural Network

The comprehensive evaluation and selection of suppliers under the environment of supply chain management has become a key factor affecting the success of supply chain. How to select suppliers and the strategic partnership between suppliers under the environment of supply chain management has become an important challenge. To solve this problem, this paper takes the supplier evaluation and selection of Guangzhou Automobile Toyota Company as the research object, constructs the index system of supplier comprehensive evaluation and selection, uses the RBF neural network algorithm to establish the supplier evaluation and selection model, and makes an experimental study. The results show that radial basis function neural network is a local approximation network, which has a unique and definite solution to the problem, and there is no local minimum problem in BP network. It is a method that enables enterprises and suppliers to have a clear understanding and seek further promotion together. The research provides theoretical data support for enterprise managers to make decisions.

Postharvest Losses and Management of Horticultural Produce: A Review

Horticultural postharvest losses pose a significant challenge to the supply chain and economic growth, particularly in impoverished nations. This review paper explores the multifaceted issues surrounding postharvest losses in horticultural crops and emphasizes the critical role of technological innovations in mitigating these losses. Various stakeholders within the value chain, including farmers, handlers, and consumers, face substantial risks due to insufficient postharvest handling techniques. The study underscores the urgency of adopting advanced postharvest technologies, focusing on enhanced harvesting and packaging strategies. By using cutting-edge technologies, it is possible to lower losses after harvest and raise the general standard of fresh produce. The improper use of packing materials and inadequate packaging methods significantly contribute to these losses, making it imperative to address these aspects for sustainable solutions. This comprehensive review not only identifies the reason for fruit and vegetable losses after harvesting within the countries but also provides actionable insights into mitigating measures. This article intends to support the creation of a robust and successful horticulture supply chain by addressing the issues and offering workable solutions. The integration of technological advancements in harvesting, handling, and packaging processes emerges as a key element in the overall strategy to reduce postharvest losses and promote economic growth in resource-constrained regions.

Assessing and selecting sustainable refrigerated road vehicles in food logistics using a novel multi-criteria group decision-making model

In recent years, food loss and waste (FLW) have become an essential issue at the top of the international community's agenda. Since more people are afflicted by this problem every day, the global population would be forced into poverty and starvation without finding an immediate solution. Therefore, in order to decrease FLW, well-designed and sustainable food and cold supply chains (FCSCs) are needed. Additionally, refrigerated transportation systems can be crucial in developing sustainable supply chains. According to some empirical research, the technological capabilities of reefer vehicles or trailers differ significantly. Thus, selecting the reefer vehicle is a complex decision-making problem and selecting appropriate reefer vehicles may have a critical role in constructing successful supply chain systems and reducing food waste and loss. The current research proposes an efficient, robust and practical decision-making framework that can overcome uncertainties to tackle this decision-making problem. The managerial and strategic implications of the study also aid in decreasing FLW and restructuring FSC for industrial context and support to the UN's sustainable development goals (SDGs). Later, an exhaustive sensitivity analysis was conducted to examine the developed model's validity and application, confirming the model's robustness and dependability.

Institutional Role In Cocoa Supply Chain And Cocoa Added Value In Bulukumba District

Supply chain institutions are management relationships or systematic working system and mutually supportive between several supply chain partnership of institutions. The aim of this study was to determine the role of institutions in the supply chain for cocoa commodities in Bulukumba Regency and to analyze the added value of each actor in the supply chain for cocoa commodities in Bulukumba Regency. The method of determining the sample was done by purposive sampling. Descriptive analysis and supply chain value added analysis were used as Institutional role data analysis using the hayami method. The results of the study showed that supply chain institutions had a role for the success of the cocoa supply chain. Analysis of added value of farmers was Rp. 29,029,000 with added value of the collector traders was Rp. 1,900/kg, wholesalers added value of Rp. 1,900/kg and the added value of the cocoa processing home industry was Rp. 32,500/kg. Therefore, all the institutions involved had their important roles for the success of the cocoa supply chain. The roles were cultivating, providing assistance, processing, buying and selling. The added value of the cocoa processing home industry was high (>50%), while the added value of wholesalers and collector trades low (>50%).

Exploring the Challenges of Circular Economy Adoption: A Supply Chain Perspective

The prevailing linear economic structure and our complex global supply chains are reaching their tangible limits, as evidenced by the impact of current crises such as energy scarcity. A shift from a linear to a Circular Economy is necessary to meet the urgent environmental and economic challenges. This paper aims to address a significant gap in the literature by utilizing a structured literature review and the Supply Chain Operation Reference (SCOR) model. Rather than focusing on specific contexts or industries, this paper aims to examine the intercorrelation and interdependencies between the barriers from a supply chain perspective. Therefore, the diverse conceptual background of the Circular Economy and the complexity of its implementation due to the interconnectedness of barriers that span regulatory, cultural, market, and technological aspects are analyzed. The interdependence of barriers in the different supply chain stages is highlighted in a qualitative and explorative research approach. The key findings reveal that a successful supply chain management strategy that integrates Circular Economy principles along the whole supply chain is crucial for successfully transitioning from a linear to a Circular Economy. We identify necessary lines of future research to facilitate the successful transition and overcome the current barriers along the supply chain.

Exploring competitive advantages in enterprise supply chains: A case study of JD’s predictive and logistics links

In today’s fiercely competitive business landscape, enterprises strive to enhance their competitive advantage. One crucial aspect of achieving this is by optimizing their supply chain practices. This paper presents a comprehensive analysis of Jing Dong (JD), a prominent e-commerce company, as a case study to delve into its supply chain technologies. By examining the specific technologies implemented by JD and elucidating their positive impact on the company’s performance, this study establishes a robust theoretical foundation for further research. It offers a practical model for companies seeking to improve their supply chain practices. By adopting and adapting similar technologies and strategies, enterprises can unlock new opportunities, streamline operations, and ultimately gain a sustainable competitive edge in their respective industries. Through a deeper understanding of JD’s successful supply chain approaches, companies can strategically enhance their capabilities and thrive in the dynamic market environment.

ПРИНЦИПИ РОЗВИТКУ ІНФОРМАЦІЙНОГО ЗАБЕЗПЕЧЕННЯ ЛОГІСТИЧНИХ ПРОЦЕСІВ У ТОРГІВЛІ

he development of information support for logistical processes in trade encompasses various aspects aimed at optimizing and improving their efficiency. However, issues such as system instability or obsolescence, software deficiencies, and limited compatibility among them can complicate the implementation of new technologies. The increasing volume of digital information requires security measures to preserve data confidentiality and integrity. Based on a thorough analysis of the key principles of developing information support for logistical processes in trade, it has been demonstrated that the integration of technologies, digital transformation, openness, standardization, analytics, forecasting, flexibility, scalability, security provision, mobility, as well as collaboration and data exchange are crucial principles for successful supply chain management. These principles are interrelated and complementary creating a solid foundation for enhancing efficiency, optimizing costs, and improving customer satisfaction. It is argued that implementing these principles enables companies to quickly adapt to changes in market conditions, effectively respond to challenges in the modern business environment, and ensure a high level of competitiveness. This is made possible by optimizing logistical processes, reducing order processing time, improving demand forecasting accuracy, and ensuring supply continuity. It is argued that the successful implementation of these principles requires companies not only to adopt advanced technologies but also to be prepared for cultural changes, including openness to innovation, willingness to collaborate, and data exchange among all participants in the logistics chain. Through this, companies can create an efficient, flexible, and secure logistics system capable of meeting the needs of the modern market and ensuring high customer satisfaction. The development of information support for logistical processes in trade, based on the principles of technology integration, digital transformation, flexibility, and other key aspects, forms the basis for increasing efficiency, reducing costs, and improving service. Collaboration and data exchange provide companies with the ability to quickly adapt to market changes, optimize supply chains, and ensure competitiveness. The use of modern technologies and approaches, including mobility and data security provision, plays a crucial role in creating an effective and reliable logistics system.

The six stages of digital transformation and practical steps to get started in your organisation

Many of today’s most successful supply chains are ones that have executed a digitisation of information processes. Digital information unlocks game-changing experiences that we have recently grown accustomed to, such as two-day online delivery and order visibility. Digital transformation has quickly become a popular buzzword in supply chain management, a term that everyone understands as important for the future. Unfortunately, many struggle to get started with this concept, facing an immense resistance to change and a lack of leadership support. This paper compares and contrasts companies that are data-driven and those that are not, introduces the six stages of digital transformation and helps the reader to identify where their company currently is. It also provides a set of practical steps to get started in your organisation and discusses some roadblocks that you are likely to encounter. The paper will be especially impactful for those looking to drive digital change in their organisations by leading the effort to analyse, simplify and digitise legacy processes.

The Operational Mechanism of Agricultural Products Supply Chain Finance Based on the Mode-Capability-Customer Matching Approach

The key to successful agricultural product supply chain finance of commercial banks lies in coordinating the relationship among the “supply chain finance model”, “banking serviceability”, and “user satisfaction”. Previous research on agricultural products supply chain finance rarely incorporated the operational level of commercial banks. To fill this gap, this paper transforms the operational problem of the agricultural product supply chain finance of commercial banks into a matching problem between the agricultural product supply chain finance model and customers under the constraint of serviceability. First, a matching model of “mode-capability-customer” of agricultural products supply chain finance is constructed based on the theory of bilateral matching; second, a measurement index system of matching degree and satisfaction is constructed, where matching degree and satisfaction are calculated; finally, the optimal matching model is studied. This paper proposes a model that matches agricultural supply chain finance with customer satisfaction, considering bank serviceability constraints. It improves the implementation of agricultural product supply chain finance by commercial banks. The study uses surveys and evaluations to assess stakeholder satisfaction and preferences. An operational research model optimizes the matching process between supply chain finance models and recipients, ensuring suitability. The paper provides a theoretical basis for rural financial services and practical recommendations for commercial bank supply chain finance, with valuable real-world applications.

Supply Chain Management Process of Textile Industry: A Case Study on Bangladesh

This research examines a descriptive analysis of Bangladesh's textile industry's process of export, import, and logistic system for yarn dyeing. Bangladesh's industrial sector, which includes the textile industry, is vital to the country's economic growth. In addition to meeting a significant portion of Bangladesh's foreign demand for clothes and apparel, the textile industry provides for about 100% of the country's internal demand. The textile industry is a complex supply chain that manufactures garments, complements, raw materials, and other items. As a traditional management tool, SCM enables manufacturers to work toward increasing the quality of their products, lowering the cost of their products and services, and speeding up product delivery and reaction times in a highly competitive market. Based on primary data of an organization which is Union Limited, a well-reputed and big textile base organization as well as secondary data from internet databases, journals, review articles, etc., this study was constructed. reduced stocks, reduced costs, increased productivity, more agility, shorter lead times, higher profitability, and increased customer loyalty are all aspects of the textile industry's successful supply chain management. This study discusses the overall processing of how a textile industry imports yarn, and how they deliver the final product to the consumer. This research paper will give the concept of the overall processing of the textile industry of Bangladesh.

Codevelopment Versus Outsourcing: Who Should Innovate in Supply Chains

Outsourcing has long been a strategy to decrease cost. Increasingly firms recognize the value in their supply chains and call on suppliers to innovate, both in products and processes. Innovation to increase quality and demand or to reduce costs is critical to firm and supply chain success. In a two-stage supply chain, we investigate the impact of focal firm and supplier innovation costs (and capabilities) on the type of outsourcing chosen and the resulting investments in process and product innovation. The focal firm determines whether to perform design (including product innovation in the form of quality enhancement) and manufacturing (including process innovation in the form of cost reduction) in-house, to outsource manufacturing/process innovation while insourcing design/product innovation, to outsource both manufacturing/process innovation and design/product innovation, or to codevelop product innovation while outsourcing manufacturing/process innovation. We also examine the conditions under which codevelopment is favorable, given the supply chain faces potential positive and negative synergies from either the colocation of the innovation activities or costs of collaboration. After characterizing the optimal outsourcing decision, we find that the decision to outsource is more nuanced than simply which activities to outsource but must include options to collaborate on particular activities and specifically product innovation. We offer the insight to managers that codevelopment, despite the costs of collaboration, can benefit the firm and result in higher profits. This occurs through the improvement of demand via higher quality products.

A multinomial modeling approach to assess supplier delivery performance for buyer-supplier alignment

Purpose Untimely delivery of goods and services, especially in a post-COVID landscape, is a critical harbinger of end-to-end fulfillment. Existing literature in supplier delivery modeling is focused on penalizing suppliers for late deliveries built into a contractual transaction, which eventually erodes trust. As such, a holistic modeling technique focused on long-term relationship building is missing. This study aims to design a supplier evaluation model that analytically equates supplier delivery performance to cost realization while replicating a core attribute of successful supply chains – alignment, leading to long-term supplier relationships. Design/methodology/approach The supplier evaluation model designed in this paper uses delivery deviation as a unit of measure as opposed to delivery duration to enhance consistency with enterprise resource planning protocols. A one-sided modified Taguchi-type quality loss function (QLF) models delivery lateness to construct a multinomial probability penalty cost function for untimely delivery. Prescriptive analytics using simulation and optimization of the proposed mathematical model supports buyer–supplier alignment. Findings The supplier evaluation model designed herein not only optimizes likelihood parameters for early and late deliveries for competing suppliers to enhance total landed cost comparisons for on-shore, near-shore and off-shore suppliers but also allows for the creation of an efficient frontier toward supply base optimization. Research limitations/implications At a time of systemic disruptions such as the COVID pandemic, global supply chains are at risk of business continuity. Supplier evaluation models need to focus on long-term relationship modeling as opposed to short-term contractual penalty-based modeling to enhance business continuity. The model offered in this paper is grounded in alignment – a cornerstone of successful supply chain integration, and offers an interesting departure from traditional modeling techniques in this genre. Practical implications The results from this analytical approach offer flexibility to a supply manager toward building redundancies in the supply chain using an efficient frontier within the supply landscape, which also helps to manage disruption and maintain end-to-end fulfillment. Originality/value The model offered in this paper is grounded in alignment – a cornerstone of successful supply chain integration, and offers an interesting departure from traditional modeling techniques in this genre. The authors offer a rational solution by creating an evaluation model that uses penalty cost modeling as an internal quality measure to rate suppliers and uses the outcome as a yardstick for negotiations instead of imposing penalties within contracts.

Reverse Logistics Practices In Humanitarian Supply Chain Management: A Content Analysis

In recent years, natural disasters associated with human-induced factors and climate changes have increased. The humanitarian supply chain (HSC) provides a practical and rapid response to these disasters and deals with the destruction that may occur due to disasters. The use of reverse logistics, one of the key supply chain processes for successful supply chain management, is becoming widespread in the supply chain. Its use in HSC is limited. Considering the aim of HSC to create positive effects on the population affected by disasters, it is essential for the sustainability of resources and processes that they adopt reverse logistics practices. In this context, the study aims to analyze the usage area of reverse logistics in HSC operations and show where it can be applied in the future. In line with the purpose of the study, the annual reports and publications of aid organizations operating in Turkey were analyzed using the content analysis method, and semi-structured interviews were conducted with experts in humanitarian aid organizations. It has been concluded that humanitarian aid organizations know reverse logistics processes and have areas of use in their applications.

Perancangan Sistem Informasi Pengendalian Intern Persediaan Barang Dagang Dengan Metode Reorder Point(Rop)


 This research discusses the development and implementation of a Reorder Point (ROP) information system in the context of inventory management. ROP is a critical method for optimizing merchandise inventory, avoiding stock shortages, and minimizing inventory costs. The aim of this research is to design and implement an information system that allows companies to calculate and monitor ROP efficiently. The research methodology includes user needs analysis, software development, and system testing in real environments. The research results show that the ROP information system can help companies improve inventory control accuracy, reduce costs, and improve customer service. This research also identifies challenges in implementing ROP information systems and provides insight into how to overcome these obstacles. In an era of competitive business, the ability to respond quickly to changes in demand and delivery is the key to success. A sophisticated Reorder Point information system gives companies a competitive advantage by optimizing inventory levels and avoiding excess or shortage of stock that can be detrimental to the company. Additionally, by integrating data from various aspects of supply chain management, the system provides better visibility into company operations, enabling more timely decisions and accurate information. Therefore, the results of this study indicate that the ROP information system is a valuable asset in efficient inventory management and helps companies to remain relevant and sustainable in a dynamic business environment. In conclusion, ROP information systems are a valuable tool in efficient inventory management and contribute to the success of a company's supply chain.

Ensuring the Success of Unorganized Retail Supply Chains of Current Times- A Developing Nation Perspective

The goal of this study is to identify and evaluate key success factors (CSF) for unorganized retail supply chain management (UORSCM). The interpretative structural modelling (ISM) approach is applied for analyzing the CSFs. In India, the unorganized fast-moving consumer goods (FMCG) retail sector occupies a sizable amount of space and makes a significant GDP contribution. A total of 13 CSFs are analyzed, and to determine their driving and dependency power, MICMAC analysis is carried out. The outcome demonstrates that unorganized retailing suffers a variety of difficulties, like, the arrival of new competitors, product substitution, supplier problems, buyer threats, an increase in organized retailers, and co-manufacturer threats, in developing country settings. The factors with the highest positive impact are service quality in FMCG retail, time management at stores, product quality, and spoilage adjustment in retail. The factors, service quality in retail, time management at stores, and product quality have resulted in the highest driving power and lowest dependence power to attain the desired performance of UORSCM. The study’s findings also indicate that by focusing on these factors, unorganized retailers can efficiently handle customers.