Supply chain efficiency of geographical indication arabica coffee: Case study in Pasuruan

Supply Chain Management and Cost Management are important developments helping companies to respond to increased global competition and demanding customer needs. Within the 23 chapters of the book, more than 35 authors provide insights into new concepts for cost control in supply chains. The frameworks presented are illustrated with case studies from the automotive, textile, white goods, and transportation industry as well as from retailing. Academics will benefit from the wide range of approaches presented, while practitioners will learn from the examples how their own company and the supply chains which they compete in, can be brought to lower costs and better performance.

In the context of the rapidly evolving landscape shaped by the increased prevalence of digital technologies and the transformative dynamics of supply chains in the post-COVID-19 era, this research seeks to address a crucial gap by examining the mediating role played by supply chain integration and efficiency. The primary aim is to provide a more comprehensive and nuanced understanding of how digitalization influences networks of supply chain performance. Moreover, we delve into the moderating impact of supply chain dynamism on shaping this association. Through a simple random sampling technique, survey data were collected from 293 Turkish manufacturing firms via an online survey and analyzed using structural equation modeling. The findings underscore that digitalization significantly enhances supply chain integration and efficiency, thereby contributing to improved supply chain performance. Notably, supply chain integration and efficiency were identified as key mediators in the relationship between digitalization and supply chain performance. Furthermore, we investigate the moderating effect of supply chain dynamism, revealing its positive influence on the association between digitalization and supply chain integration. Rooted in key theories such as the resource-based view and dynamic capabilities, this study provides valuable insights by unraveling the intricate processes through which digitalization’s impact is channeled in the post-COVID-19 era. The research extends the current literature by considering the contextual role of supply chain dynamism, shedding light on the complex dynamics between digitalization and supply chain outcomes.

The optimization of supply chains in emerging markets presents significant opportunities for enhancing operational efficiency and economic growth. However, these markets also pose unique challenges, particularly in the financial sector, that can impede the development and efficiency of supply chains. This Review explores the key financial challenges faced by supply chains in emerging markets and proposes strategies for addressing these issues to optimize supply chain performance. One of the primary challenges in emerging markets is the limited access to financing. Small and medium-sized enterprises (SMEs), which often form the backbone of supply chains in these regions, frequently encounter difficulties in securing necessary capital due to stringent lending criteria and a lack of collateral. This financial constraint hampers their ability to invest in advanced technologies and infrastructure, thereby affecting the overall efficiency and reliability of the supply chain. Additionally, emerging markets are often characterized by volatile economic conditions, including fluctuating exchange rates, inflation, and political instability. These factors increase the financial risks associated with supply chain operations, making it challenging for businesses to plan and execute long-term strategies. The lack of robust financial instruments and risk management solutions further exacerbates this issue, leaving supply chains vulnerable to disruptions. To address these challenges, the implementation of innovative financial solutions and supportive policies is crucial. Microfinancing and mobile banking can provide SMEs with greater access to capital, enabling them to invest in necessary resources and technologies. Furthermore, developing tailored financial products that cater to the specific needs of businesses in emerging markets can mitigate risks and enhance supply chain resilience. Collaborative initiatives between governments, financial institutions, and international organizations can also play a vital role in optimizing supply chains. Such collaborations can lead to the creation of more favorable regulatory environments, the provision of financial literacy programs, and the establishment of public-private partnerships that support infrastructure development and technological advancement. In conclusion, addressing the financial challenges in emerging markets is essential for optimizing supply chains and fostering sustainable economic development. By improving access to financing, enhancing risk management practices, and promoting collaborative efforts, stakeholders can significantly enhance the efficiency and resilience of supply chains in these regions, paving the way for greater economic growth and development.

Enhancing supply chain traceability and efficiency in the Fast-Moving Consumer Goods (FMCG) sector is critical for mitigating counterfeit losses and ensuring product integrity. This study proposes a comprehensive model for the implementation of blockchain technology tailored to the unique demands of the FMCG supply chain. The model emphasizes transparency, accountability, and real-time data sharing among stakeholders, including manufacturers, distributors, retailers, and consumers. By integrating blockchain, the FMCG industry can create a tamper-proof record of each transaction and product movement, significantly improving traceability from production to point-of-sale. Key components of the proposed model include a decentralized ledger that captures product information, provenance data, and transaction history. This approach facilitates efficient tracking of products, enhances supply chain visibility, and enables stakeholders to authenticate goods at any stage. Moreover, by employing blockchain’s smart contract functionality, the model allows for automated compliance verification and streamlined processes, reducing the time and resources required for audits and inspections. The study further explores potential extensions of blockchain technology to incorporate smart contracts that can automate various supply chain operations. These contracts can facilitate automatic payments upon delivery confirmation, trigger inventory replenishment orders based on real-time data, and enforce compliance with regulatory requirements without human intervention. By leveraging these technological advancements, FMCG companies can significantly reduce counterfeit losses and improve overall supply chain efficiency. This not only protects brand reputation but also fosters consumer trust, which is vital in an increasingly competitive market. The implications of this research highlight the transformative potential of blockchain technology in the FMCG sector, paving the way for future innovations in traceability and efficiency. In conclusion, this study presents a robust framework for blockchain implementation in the FMCG supply chain, addressing critical issues of traceability and counterfeiting while offering pathways for future enhancements through smart contracts.

Objective: This study examines the impact of integrating Internet of Things (IoT) technologies and sophisticated analytics on supply chain efficiency within the automobile sector. It examines the alleviation of issues including data security, difficulties of system integration, and deficiencies in workforce skills to attain best operational results. Through this research we aim to achieve the sustainable development goals (SDGs) of 8 and 9, which are Decent Work and Economic Growth and Industry, Innovation and Infrastructure. It builds resilient infrastructure for the industry using innovative technologies like IoT and analytics and as a result achieving decent work and economic growth. Design/methodology/approach: The study used structural equation modeling (SEM) to examine data gathered from 150 automotive OEMs and their tier one supplier companies in and around Chennai, India. The research utilizes frameworks such as the Technology Acceptance Model (TAM) and the Theory of Constraints (TOC) to elucidate the connections among IoT problems, predictive analytics, and supply chain performance. Results and Discussion: The results show that predictive analytics enhances supply chain transparency, reducing inefficiencies, and thereby achieving accurate demand forecasting. Addressing the issues of IoT-related risks and operational inefficiencies significantly enhances supply chain performance metrics. Real-time data monitoring and strategic problem resolution were found to be essential for the successful integration of IoT and analytics. Practical implications: The research offers practical techniques for the use of IoT and analytics, highlighting real-time monitoring and data-driven decision-making to enhance supply chain responsiveness and efficiency. This research addresses IoT-related difficulties, enhancing academic debate on digital transformation in supply chains and providing a practical framework for the successful utilization of IoT and analytics. This study offers an effective framework for organizations in the automotive industry to successfully implement IoT and analytics by addressing key challenges. Originality/value: By focusing on the mediating role of recognizing and mitigating challenges in IoT and analytics adoption, this research contributes to the academic discourse on digital transformation in supply chains. It provides actionable insights for practitioners aiming to optimize supply chain operations through advanced technological solutions. The findings point out the importance of implementing proactive, data-driven strategies and fostering real-time visibility to achieve substantial gains in supply chain efficiency and responsiveness.

This paper seeks to guide supply chain managers regarding critical success factors (CSFs) by examining decision-making themes associated with effectiveness. It builds on previous theoretical and operational perspectives relating to CSFs for supply chain management. The research uses a quantitative survey instrument informed by responses from 303 supply chain decision makers. This enabled the identification of 7 key clusters from 48 variables which are directly linked to supply chain efficiency by applying Principal Component Analysis. CSFs are somewhat neglected in the supply chain literature and to address this, an evidence-based 7Vs framework is proposed, incorporating CSFs to aid the successful operation of supply chain performance. The results suggest that managing CSFs improves supply chain efficiency and performance, whilst assisting organisations in attaining a competitive advantage. This research takes a holistic view of organisations’ operational efficiency and contributes to the evidence base for successful operation of supply chains utilising CSFs.

Operations in today’s demand chain management framework

  Supply chain is one important problem in industry and economy. Measuring supply chain performance becomes difficult because of the need to deal with the multiple performance measures related to the supply chain members, and to integrate and coordinate the performance of those members. The tradition approaches for measuring efficiencies cannot be applied directly to the problem of evaluating the efficiency of supply chains. This is because some measures linked to supply chain members cannot be simply classified as “outputs” or “inputs” of the supply chain. We present several models that directly evaluate the performance of the supply chain as well as its members, while considering the relationship between the members. The modeling processes are based upon the concept of non-cooperative and cooperative games. In this paper, we have applied network data envelopment analysis (DEA) approach for measuring performance of supply chain, which consider the system as composed by distinct processes or stages, each one with its own inputs and outputs and with intermediate flows among the stages. The proposed method reduced computations and also determination of efficiency of overall supply chain and efficiency of each supply chain members.   Key words: Supply chain, data envelopment analysis, efficiency, network model, cooperative and non-cooperative models.

Supply chain is one important problem in industry and economy. Measuring supply chain performance becomes difficult because of the need to deal with the multiple performance measures related to the supply chain members, and to integrate and coordinate the performance of those members. The tradition approaches for measuring efficiencies cannot be applied directly to the problem of evaluating the efficiency of supply chains. This is because some measures linked to supply chain members cannot be simply classified as “outputs” or “inputs” of the supply chain. We present several models that directly evaluate the performance of the supply chain as well as its members, while considering the relationship between the members. The modeling processes are based upon the concept of non-cooperative and cooperative games. In this paper, we have applied network data envelopment analysis (DEA) approach for measuring performance of supply chain, which consider the system as composed by distinct processes or stages, each one with its own inputs and outputs and with intermediate flows among the stages. The proposed method reduced computations and also determination of efficiency of overall supply chain and efficiency of each supply chain members. Key words: Supply chain, data envelopment analysis, efficiency, network model, cooperative and non-cooperative models.

Improving the efficiency in the links in the supply chains of agri-food products is relevant in terms of the assessment methodology and practical aspects for ensuring and supporting sustainable supply chains of products not only in individual channels of product movement but also in the end-to-end supply chain of products, i.e., from the field to the end consumer. However, it is still unclear which supply chain opportunities in commodity distribution channels are more effective for creating end-to-end sustainable supply chains for agri-food products. The purpose of the study is to develop a methodology for assessing the impact of agri-food supply channels on the efficiency and link in supply chains, taking into account the factors affecting them and developing recommendations for their improvement. Quantitative methods based on correlation and regression analysis using the EViews program on the basis of Kazakh statistical data for 2008–2022 were used. A methodology is proposed for assessing the effectiveness of the functioning and links in commodity movement in the supply chains of agricultural products at the macroeconomic level based on the consideration and use of important factors affecting the efficiency and links: production and sales volumes, total costs, and profitability for each supply channel: “production–processing–industrial production–trade”. The relationship between the efficiency and the links in supply chains and also the key factors that affect them have been established. The results showed that the increase in the efficiency in supply channels in the commodity distribution system leads to a decrease in the coefficient of the link in commodity movement and inventory availability. To reduce the link ratio in the supply chains of agri-food products, it is necessary to increase the efficiency in supply chains in each supply chain link and reduce the share of retail trade in the gross turnover. Recommendations are proposed to improve supply chain efficiency and reduce links to support and create end-to-end sustainable supply chains of agri-food products. The study makes an essential contribution to providing empirical evidence of the relationship between the effectiveness of agri-food supply channels and the link in the supply chain. Since few works describe the relationship between the links of product distribution and the efficiency in supply chains in the literature, in this work, it was possible to propose a methodology and identify factors and gaps in research to identify potential areas for future research.

Nowadays, the small and medium-sized enterprises (SMEs) are frequently confronted with the difficulty of financing hard and financing expensive. This paper investigates a financing strategy called the purchase order financing together with reverse factoring financing strategy, which is able to fulfill the financing demands of SMEs at different stages. Numerical experiments are conducted in order to compare the supply chain performance and efficiency between this financing strategy and the purchase order financing models in decentralized and centralized decision-making situations, which concludes that models considering the reverse factoring financing, i.e., purchase order financing together with reverse factoring financing two-stage decision-making model and the global decision-making model, have better supply chain efficiency than the benchmark model that only considers the purchase order financing, and the choice between two candidates depends on the standard deviations and the retailer prices.

The impact of financing mechanism on supply chain sustainability and efficiency

Green supply chain performance with cost learning and operational inefficiency effects

Supply chain operations are perceived as total business operations for revenue generation. Various objectives like minimization of total operating costs, minimization of logistics & transportation costs, maximization of revenue etc forms the necessary pre-requisites for effective and efficient strategies in supply chain practices. But these are conflicting objectives if total efficiency and effectiveness of supply chain performance is to be achieved. Adhering to one strategy does not ensure perceived/improved performance of the supply chain. Therefore, all of such conflicting objectives are to be considered set wise to arrive at the total effectiveness of SCM practices. Supply chain optimization is the optimization using mathematical methods to ensure that the optimal operation of supply chains. Supply chain operations are optimized to minimize operating costs, minimization of inventories, minimization of operating expenses like inventory, transportation, manufacturing, distribution etc. and maximizing gross margin, maximization of revenue, maximization of return on investment. Supply chain operations are optimized to minimize operating costs, inventories, operating expenses like inventory, transportation, manufacturing, distribution, information sharing etc. and maximizing gross margin, revenue return on investment. These costs primarily vary from up-stream side to downstream side as the supply chain entities use customized information sharing facilities and technology. Supply chain optimization may include refinements at various stages of product lifecycle. Supply chain optimization problem is supply chain general problem, i.e. providing products and services to customers at the highest profit, but at the lowest price possible. In this paper, multi-objective optimization of logistics and transportation costs, operating costs and revenue is carried out with the application of Non-Dominating Sorting Genetic Algorithm (NSGA-II). These optimization results are used in decision making & strategy formulation to develop a cost effective operation of supply chain.

The objective of this study is to identify extent of coordination among the supply stakeholders; measure supply chain performance and to study the impact of supply chain coordination on supply chain performance. The study is based on primary data collected from dairy supply chain stakeholders namely farmer-producers, bulk milk coolers (BMC), processing unit, wholesalers and retailers. The data was collected through combination of personal interviews, telephonic interviews and e-mail. The total sample size of this study is 420 spread across 28 firms with each firm representing a total of 15 respondents. Linear regression was performed to study the impact of supply chain coordination on supply chain performance. The results of this study reveal that supply chain coordination positively impacts all the supply chain performance metrics namely efficiency, responsiveness, flexibility and quality. Supply chain coordination has highest impact on supply chain responsiveness followed by supply chain quality, supply chain flexibility and supply chain efficiency. In case of impact of supply chain coordination on overall supply chain performance, there is an evidence of strong impact of supply chain coordination on supply chain performance.