Companies In Supply Chain Research Articles

Measuring Supply Chain Performance Using the SCOR Model: A Case Study of CV. XYZ

This research discusses the design of a performance measurement system for supply chain management using the Supply Chain Operations Reference (SCOR) model developed by the Supply Chain Council. The SCOR model focuses on five main activities within a company's supply chain, namely plan, source, make, deliver, and return. All activities are linked with performance attributes such as reliability, responsiveness, flexibility, cost, and assets. The implementation of this model is applied to CV. XYZ, a company that operates in the production of plain and printed T-shirts, which is located in East Java. The research was conducted from January 2024 to September 2024. The results of the study identified that there are 35 performance indicators representing supply chain activities, with the following breakdown: 9 indicators for the plan activity, 7 indicators for the source activity, 6 indicators for the make activity, 7 indicators for the deliver activity, and 6 indicators for the return activity. The Analytical Hierarchy Process (AHP) method was used to weight each activity in the SCOR model. Based on the results, the highest priority was the source activity (0.252), followed by deliver (0.222), plan (0.221), make (0.209), and return (0.095). From the scoring system, it was found that 23 indicators have a green score, 8 indicators have a yellow score, and 4 indicators have a red score. The limitation of this research is that one SCOR activity, "enable," was not analyzed. Therefore, it is recommended that future research analyze all SCOR activities.

The Role of Artificial Intelligence in Improving the Efficiency of the Company's Supply Chain

The development of technology, especially in the era of Industry 4.0, has significantly impacted various sectors, including supply chain management. Artificial Intelligence (AI), one of the leading technologies in Industry 4.0, has excellent potential to improve the efficiency and effectiveness of the supply chain. This study aims to identify the relationship between AI and the concept of supply chain management and analyze the practice of using AI to improve supply chain efficiency at PT. Pelita Media Nusantara. Using a descriptive-analytical method, this study examines various relevant literature and data. The results of the study indicate that the application of AI at PT. Pelita Media Nusantara has increased the supply chain's visibility, accuracy, and responsiveness. Implementing big data analytics, IoT sensors, and AI-based predictive systems allows companies to optimize procurement, production, and distribution processes. This case study also reveals that complex technology integration and the need for skilled human resources are the main challenges in implementing AI. This study provides important insights for academics and practitioners in developing more effective and efficient AI-based supply chain management strategies.

Location selection for logistics centre using PROMETHEE method

Logistics and distribution centres are essential to the supply chains of many manufacturing and logistics companies. Efficiently locating logistic centres involves thorough search for optimal place, prioritizing proximity to suppliers and minimizing costs. Companies’ management often solves the location problem of new halls, mostly to minimise the associated costs. Such a problem is solved in the automotive industry as part of the launch of a new international project. The key factor for the decision of where to locate the logistics centre is the location of the suppliers, since material deliveries generate a large part of the project costs. The aim of this study is to define a methodology for the location of the logistics centre, considering several alternative locations and relevant criteria. The location alternatives and criteria are defined in terms of minimising project costs and sustainability elements. The problem is solved using the multi-criteria decision-making approach. First, the AHP method is used to assign weights to the criteria. Then the PROMETHEE method is applied to find a suitable location for the logistics centre and to perform a thorough sensitivity analysis. The sensitivity analysis is focused on the impact of values of weights on the solution. Consequently, the analysis proves the correctness of the selected alternative. Based on the case study, a general methodology for locating a logistics centre is proposed.

The Impact of Supply Chain Network Centrality on Sustainable Mergers and Acquisitions: Evidence from China

Mergers and acquisitions (M&As) are key drivers for resource integration and the operational efficiency of enterprises. Companies that hold central positions within supply chains may leverage their strategic location to reduce information asymmetry, enhancing their ability to engage in sustainable activities. However, research on the role of supply chain network centrality in M&A decisions remains underexplored. This study aims to empirically examine whether and how centrality in supply chain networks enhances the likelihood and success of M&A activities, contributing to both theory and practice in corporate strategy. In particular, we construct a novel measure of firm centrality within the supply chain and utilize panel data from Chinese A-share listed companies spanning 2008 to 2021. Our findings reveal that the central position of supply chain networks promotes the probability and frequency of mergers and acquisitions. Mechanism analysis reveals that gaining information advantages and relieving financial constraints are two key channels through which the supply chain network promotes mergers and acquisitions. Furthermore, the effects are more pronounced for firms with non-state ownership, with closer proximity to customers or suppliers, with higher operational risk, and with growth and decline phases. A series of robustness tests support these results, including alternative measures, alternative estimating methods, and sub-sample tests. Moreover, central supply chain companies exhibit better long-term financial performance following mergers and acquisitions. This paper enriches our understanding of the roles of supply chain networks in firms’ mergers and acquisitions and holds important practical implications for companies seeking to achieve sustainable and long-term development.

Sustainability and circularity assessment of biomass-based energy supply chain

Climate change and other environmental consequences of socio-economic activities require a more sustainable and circular growth. At the same time, the limitation of the earth resource demands industries to improve resource efficiency and increase the rate of recycling of materials. There are several sustainable and circular alternatives that the industries may adopt. However, the question is that among these alternatives, which one should be selected for implementation for the highest sustainable and circular benefits. This study introduces a novel tool for assessing the sustainability and circularity of biomass-based energy supply chains, integrating multi-criteria decision-making methods with life cycle thinking approach. It evaluates five alternatives using a sustainability and circularity indicators, offering new insights into the deloyment of circular business models at companies in biomass-based energy supply chain. The tool is also applied to a specific rice straw supply chain in Italy, to assess the sustainability and circularity of five alternatives and outrank them. The results indicated that not all the alternatives are better in terms of supporting sustainable development and circular economy, compared to the baseline business model. In this supply chain, the extended lifetime for digestate from the aerobic digestion plant is the most ‘sustainable and circular’ alternative, while the capture of carbon dioxide from the same plant and its use for microalgae cultivation is the least ‘sustainable and circular’ alternative. A sensitivity analysis was conducted on different weighting sets during the assessment. It indicated that the priority of the decision makers can slightly change the outrank of the alternatives and the magnitude of the outranks.

Two decades of stakeholder voices: Exploring engagement in Romania's FSC forest management certification

Stakeholders' engagement in forest management decision-making is a critical tool for enhancing the business acceptability of the forest sector, and the Forest Stewardship Certification (FSC) scheme proactively involves stakeholders in its implementation. Based on the stakeholder theory, this study examined stakeholder's engagement in the FSC forest management certification in Romania over the past two decades to identify the extent and inputs of their involvement in the process. Using in-depth content analysis and text mining techniques, we explored publicly available information from 209 public reports covering 45 forest management certificates. According to data available in 178 reports, the average number of stakeholders notified per audit was 50.7. However, response evidence was found in 128 reports, with an average of 1.2 responses per audit, suggesting a limited engagement in the process. Additional stakeholders' feedback was received as part of the on-site audits, with an average of 10.2 responses per audit. Given the inconsistencies in the reporting format between certification bodies, we set a structured framework to analyse the findings on stakeholders' engagement from different report sections. The employed analytical framework sheds light on stakeholder and legitimacy theories in forest certification. Our findings highlighted stakeholders' predominantly positive feedback tone, evenly distributed across all stakeholder types and the four analysis domains. Negative feedback accounted for only 9.4% of the findings, highlighting areas for improvement for certificate holders, companies in the timber supply chain and public authorities. This study's findings may assist FSC in refining its stakeholder engagement practices, contributing to enhanced participation and better risk mitigation of non-compliance with standard requirements.

Ranking and Challenges of Supply Chain Companies Using MCDM Methodology

Background: Supply chain companies have merits and demerits regarding operational and economic transactional policies. The effectiveness of supply chain companies corresponds to a cumulative score on a multi-criteria and perspectives-based evaluation. In this paper, we analyse the performances and challenges of several celebrated e-commerce companies to perceive their overall impression of supply chain management. Method: A mathematical model is framed as a multi-criteria decision-making (MCDM) problem with challenges as criteria and companies as alternatives. The criteria importance through inter-criteria correlation (CRITIC) method is used in this paper to adjust weights representing the available data. The ranking of e-commerce companies is evaluated using multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) method. Results: This model investigates the most dependent criteria and sub-criteria for the adaptation challenges of supply chain companies (SCCs). Furthermore, the SCCs are prioritized based on various conflicting criteria. Conclusion: Various challenges of SCCs, like logistics constraints, disruptions in supply chains, issues with technology, ethical sourcing and inconsistency between the products’ availability and the pace of consumption, are considered and analysed. We amassed the difficulties as criteria and sub-criteria in a numerical process using the MCDM approach. Additionally, the sensitivity and comparative of several optimal phenomena are analysed based on distinctive combinations of challenges in the ranking arena.

Supply Chain Risk Mitigation Based on The Integration of House of Risk and MOORA

Supply chains play a critical role in the operational success of organizations, impacting both costs and product quality. However, they are often exposed to various risks that can disrupt business processes. This research aims to identify supply chain risks and propose mitigation strategies using the House of Risk (HOR) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) methods. Through interviews, key issues were identified in a fiberglass company's supply chain, including raw material supply fluctuations, procurement cost variability, defective materials, inappropriate specifications, outdated technology, insufficient worker skills, and ambitious company targets. The novelty of this study lies in the application of MOORA, which introduces a correlation matrix for risk mitigation by considering both cost minimization and benefit maximization. The analysis identified 12 risk agents and 26 risk events, which were prioritized using HOR stage 2 with the MOORA method. The top preventive actions were ranked, providing actionable recommendations for companies to address supply chain risks more effectively. The findings of this research offer practical insights for companies in the fiberglass industry to enhance supply chain resilience by integrating cost and benefit considerations into their risk management strategies.

Credit risk contagion of supply chain finance: An empirical analysis of supply chain listed companies.

With the gradual rise of the supply chain financial model and the expansion of scale, credit risk and contagion effects are gradually strengthened as business and financial links between upstream and downstream enterprises in the supply chain. The traditional credit risk contagion assessment model based on the financial status of an enterprise and the pledging of fixed assets has been unable to meet the basic needs of modern supply chain companies and financial institutions for risk control. Therefore, this paper introduces the Cox-Copula model to comprehensively assess a company's financial situation and the business health of upstream and downstream companies in the supply chain from the perspective of actual transactions between companies and fixed asset pledges. The study found that credit risk has a contagion effect in supply chain enterprises, and this contagion effect of credit risk has certain dynamic characteristics. At the same time, it was found that the impacts of macroeconomic factors and microfinance factors on credit risk contagion of supply chain finance have differences in the two dimensions of degree and direction of action.

The effect of organisational factors on adopting big data analytics in supply chain operation among companies in Saudi Arabia: The moderating role of resistance to change

Background: Big data analytics (BDA) is vital for modern supply chain operations. However, implementing BDA requires significant administrative effort to ensure success, as managers and employees may resist change. A study was conducted on large and medium-sized companies in Saudi Arabia to investigate the impact of organisational factors on BDA adoption and identify potential resistance. (hereafter Saudi Arabia).Objectives: This study investigate how organisational factors influence the adoption of BDA in medium and large supply chain companies in Saudi Arabia. It also explores the moderating role of resistance to change (RTC) in this relationship.Method: A survey questionnaire was given to 402 supply chain practitioners working in medium and large enterprises (MLEs) in Saudi Arabia as part of a quantitative study. The collected data were analysed using the Statistical Package for Social Science (SPSS29.0) and SMART PLS (version 4.0).Results: The findings indicated that organisational factors (top management support, IT expertise, and organisational resources) insignificantly influenced BDA adoption (p 0.05). Furthermore, RTC did not moderate the relationship between organisational factors and technology adoption (p 0.05).Conclusion: The successful use of BDA is crucial for improving Saudi supply chain operations, with a positive impact on customers, companies, and the country.Contribution: This study is important for medium and large companies in the Saudi Arabian supply chain. It provides scope for developing innovations in adopting BDA by understanding organisational factors that influence adoption. The results will help push Saudi companies forward in trusting BDA in supply chain operations.

Company Supply Chain Management Performance Seen from The Aspect of Information Sharing and Cooperation (Empirical Study of MSMEs in the Food Industry Sector in Kertajati Regency)

The small food processing industry is an industrial sector that is quite capable of surviving economic shocks, because every year the need for food increases along with increasing population growth. Small and medium industries have an important role in developing processing businesses, especially in the food sector. The Kertajati specialty processed food industry is an industry that has potential to be developed, because each region has its own characteristics and characteristics. Suppliers, manufacturers, distributors, retailers and customers work together in the product creation process through to product distribution to final consumers, giving birth to the concept of supply chain management. This research aims to analyze the influence of information sharing and cooperation on the performance of supply chain management of MSMEs in the Food Industry Sector in the Kertajati District Region, both partially and simultaneously. The population in this research is small and medium industries in Kertajati District, Majalengka Regency which are engaged in processed food production, totaling 92 MSMEs. The sample used 48 MSMEs as respondents from the entire population, by collecting data through questionnaires. The sampling technique in this research uses probability sampling with a simple random sampling method. The type and source of data used is primary. The analysis technique used is correlation, where previously an instrument test was carried out using validity and reliability tests, then data transformation and data normality test, then hypothesis testing was carried out partially with the t test and simultaneously with the F test operated through the SPSS 21 program. The results of this research show that partially information sharing and cooperation have a significant effect on supply chain management performance. Simultaneous testing shows that information sharing and cooperation have a significant effect on supply chain management performance.

Taking advantage of the fire: Does firm performance feedback have a supply chain contagion effect?

The increased interconnection among supply chain participants brought about by globalization has made supply chain management more crucial than ever for gaining a competitive advantage. We examine how supply chain participants respond to feedback on firm performance, with a focus on the effect of contagion on bargaining power. When a company's performance is below expectations, suppliers and customers tend to increase their bargaining power and potentially take actions to safeguard their interests. This is attributed to the decline in the focal company's product market power, resulting from negative performance feedback. Contrarily, positive performance feedback does not cause significant changes in the bargaining power of supply chain firms. Moreover, we explore the role of other stakeholders, such as creditors and investors, in influencing supply chain negotiations. The distrust of other stakeholders leads to the further improvement of the bargaining power of supply chain companies. We analyze the motivation of supply chain stakeholders to improve their bargaining power under performance feedback and develop a complete causal chain and solution on how to enhance future performance prediction to lessen the increase in bargaining power of the supply chain. This paper is both a valuable contribution to the body of knowledge on the financial impacts of business stakeholder decision-making and a cautionary tale for companies that urgently need to cluster their supply chain activities.

Rice Supply Chain Performance Measurement Model Using Supply Chain Operational Reference and Data Envelopment Analysis Methods at PT XYZ

During the covid-19 pandemic, consumer demand for product quality on production accuracy and product availability at PT XYZ has increased. Because demand from consumers is fluctuating but the company cannot meet this demand. One way to maximize supply chain performance assessment is to evaluate the performance measurement of supply chain management using the SCOR and DEA methods and assisted by LINDO 6.1 software. The results of the research, risk identification carried out using the SCOR method with five activities, namely plan, source, make, deliver, and return, obtained 22 risks that occur in the company's supply chain, each of which is divided into: 4 risks that occur in the plan activity, 9 risks that occur in the source activity, 4 risks that occur in the make activity, 3 risks that occur in the deliver activity, and 2 risks that occur in the return activity. And from data processing with the DEA method shows that the rice product that is the target of improvement is FSN Setra Wangi 5 kg (FPW017) obtained 0.8348271 or < 1 with the variable that is the target of improvement is plan. Further research is recommended to be developed by adding benchmarking so that the application of the SCOR model can be carried out more completely. Then DEA calculations with more specific parameters so as to produce better data on each supply chain process.

A systematic literature review of logistics services outsourcing

Logistics is critical in every company's supply chain (SC), and outsourcing helps businesses concentrate on their core competencies. Third-party logistics (3 PL) or logistics service providers (LSPs) assist businesses in cutting costs while improving performance, sustainability, and revenue. Logistics evaluation and LSPs choice are complicated and critical components of value delivery. This study aims to review logistics outsourcing literature to understand the trends, prospects, factors, and strategies used in logistics companies' outsourcing choices. This work examines the literature on LSPs selection published between 2010 and 2023. This paper uses VOSviewer (version 1.6.19) to visualize the relationships. Pricing, timely shipment, service quality, reliability, agility, technology, and consumer feedback are the most commonly utilized, whereas societal and environmental factors are seldom used. The study comprises journal publications, the year, selection criteria, and assessment methodologies. Numerous scholars have discovered and employed many critical selection criteria. Many investigators have also embraced multi-criteria decision-making (MCDM) methodologies, and their fuzzy form is widely used. In conclusion, recommendations for theorists and managers, limits, and future directions for research are offered.

The Role of Information Systems in Integrating the Supply Chain in the General Company for Gas Filling and Services

The Role of Information Systems in Integrating the Supply Chain in the General Company for Gas Filling and Services

Impact of green manufacturing, green purchasing, and eco-design on organizational performance in the FMCG sector of Pakistan

Global warming, air pollution, and natural resource depletion have severely changed how businesses manufacture and provide goods and services. Greening supply chains have attracted the attention of practitioners in several nations in this context. Carbon taxes, for example, have been made a legal necessity in various countries. However, green supply chain management methods and their influence on company performance are still in their early stages of adoption. Firms frequently require the engagement of their supply chain participants to meet rising stakeholder demands for ecologically friendly goods and processes. GSCM is a collection of managerial approaches that include environmental concerns in the supply chain. Green supply chain management may help a company gain a competitive edge while improving its environmental sustainability. The overarching goal of this thesis is to add to the conversation on green supply chain management methods by examining their drivers and performance implications for the FMCG sector of Pakistan. FMCG company's supply chain must be prioritized to be efficient and effective in GSCM because these products are essential for everyone. This study aims to raise awareness about the importance of GSCM practices for the advantage of society and long-term economic and environmental development. The respondents of the 136 helped in the collection of data. They use SPSS and techniques like ANOVA, regression analysis, and correlation. All of the three hypotheses were accepted.

Exploring the impact of supply chain integration and agility on commodity supply chain performance

The aim of this research was to explore the influence of supply chain integration (SCI) on commodity supply chain performance (SCP) with the mediating role of supply chain agility (SCA). The research methodology employed a correlational approach using structural equation modeling. 131 employees from active companies in the agricultural commodity supply chain (SC) sector in Iran participated in the study. Analysis of the data was carried out utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) employing SMARTPLS software. The results indicate that customer integration (CI), supplier integration (SI), and internal integration have a positive and significant impact on SCA and commodity SCP. Additionally, the influence of SCA on commodity SCP is positive and significant. SCA plays a positive and significant mediating role in the impact of CI, SI, and internal integration on commodity SCP. Therefore, it can be concluded that companies that possess CI, SI, and internal integration in their commodity SC process demonstrate more satisfactory performance in the commodity SC.

CHALLENGES IN THE ADOPTION OF A TRACEABILITY SYSTEM IN THE HALAL FOOD SUPPLY CHAIN IN MALAYSIA

Halal and food safety are important issues nowadays. The issue regarding product recalls is not new and still happens, which involves halal and food safety matters. Other than that, the industries also lack awareness, knowledge, and the cost of implementing the traceability system on food premises. Thus, this study aimed to conduct an in-depth analysis of the challenges faced by industry player in adopting the traceability system in the halal food supply chain. The study adopts the qualitative method, where the data was collected through a semi-structured interview with representatives of the supply chain company. The gathered data were analysed using thematic analysis to understand the challenges faced in adopting the traceability system throughout the supply chain. The finding indicated that a traceability system is adopted to assure that information related to halal food and products is available and can be traced along the supply chain. It includes the information pre-production process, such as the sources and origins of the raw materials. As regards halal supply chain management challenges that food establishments faced in implementing halal traceability, its covered aspects of a technical system, logistics, segregation at shop shelves, distribution and retail records, and product recall. It is recommended that the food establishment develop and get acquainted with traceability technology tools as it is more effective and efficient in tracking and tracing the product.

Service Performance Measurement Using the Supply Chain Operation Reference Model in The Events and Travel Industry

Objective: This study aims to measure the performance of supply chain services using the Supply Chain Operation Reference (SCOR) Version 11.0 model in the events and travel industry. Design/Methods/Approach: The Supply Chain Operation Reference (SCOR) version 11.0 framework was employed to measure the performance of supply chain services. The performance indicators were assigned weights using the Analytical Hierarchy Process in Expert Choice Software. The performance achievements were marked using the traffic light system method, and an Action Plan was suggested for the company to improve its performance. Findings: The present study found 17 performance indicators consisting of 4 Plan performance attributes, 5 Source performance attributes, 3 Make performance attributes, 2 Deliver performance attributes, 2 Return performance attributes, and 1 Enable performance attribute. The weighting of each indicator resulted in the weight values for each activity from highest to lowest order, namely, Plan (0.317), Enable (0.297), Deliver (0.225), Source (0.95), Make (0.44), and Return (0.22). The performance measurement using a scoring system with the "larger is better" method and marking achievements through the traffic light system resulted in the company's aggregation value of 78%, indicating that the company still needs improvements in its supply chain service process even though the company's performance achievement is quite good. Originality: This research presents a new perspective on using SCOR-based performance measurement in service companies to become the basis for strategic decision-making and lead companies to achieve their competitive capabilities. Practical/Policy implication: The SCOR framework in every company business activity will provide a comprehensive view of the service supply chain as evaluation material for the company's service supply chain.

Workplace Corporate Social Irresponsibility in Supply Chain Operations: Generation and Gender Impacts on New Talent Recruitment

Amidst stakeholder demands for transparency and the recent pandemic, the inner workings of supply chains have become more visible. This visibility has shone a spotlight on workplace corporate social irresponsibility (CSI)—actions within a company's internal supply chain operations perceived to harm the well-being of its employees. At the same time, companies scrambling to recruit new talent for operations and supply chain management (OM/SCM) face dual challenges in the shortage of diverse talent and the emergence of new generations in the workforce. Research indicates that younger generations and women more broadly expect social responsibility from their employers, but it is unclear how they perceive social irresponsibility when evaluating job offers. To begin to address this gap, we draw on attribution theory and develop hypotheses that examine prospective employees’ responses to workplace CSI in supply chain operations and whether their responses vary with gender and pay. Results from a conjoint task and mixed effects models reveal that both young men and young women respond negatively to job offers from firms with pervasive workplace CSI across their supply chain operations and atypical levels of workplace CSI relative to other firms. Although we do not find gender differences in general, supplementary analyses offer more nuanced insights (e.g., young men respond less favorably than young women when workplace CSI is pervasive, whereas young women respond more favorably than young men to above-average pay). Overall, our study advances understanding of the spillover effects of workplace CSI on new talent recruitment and highlights that the new generation's preferences run deeper than traditional gender-based expectations. In doing so, we offer timely guidance for executives and human resource managers as companies struggle to recruit diverse new OM/SCM talent.