Supply Company 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.

ENHANCING EFFICIENCY AND SUSTAINABILITY: GREEN ENERGY SOLUTIONS FOR WATER SUPPLY COMPANIES

Water supply enterprises significantly impact local communities by providing essential services. These companies face high electricity costs for water extraction, purification, and transportation, affecting efficiency and reliability. Therefore, implementing innovative technologies to enhance sustainability in the water supply sector is crucial. This article explores the opportunities and strategies for renewable energy transition at water supply companies. Using investment, sensitivity, and strategic analyses, as well as a case study approach, the research examines technologies, conceptual frameworks, mechanisms, and approaches to integrate green power into water supply operations, addressing high energy costs and promoting sustainability. The article identifies solar, wind, hydroelectric, biomass, and geothermal energy technologies as the most prominent renewable power solutions for water supply enterprises. The developed conceptual framework for implementing these technologies includes needs assessment and goal setting; resource assessment and technology selection; system design and integration; financing and investment; regulatory compliance and permitting; stakeholder engagement and capacity building; and monitoring, evaluation, and continuous improvement. The mechanisms and approaches to integrate green energy solutions within the developed framework can involve on-site renewable energy generation, power purchase agreements, energy storage and microgrid systems, energy efficiency and demand management, and collaborative and community-based models. As a case study, the article examines a 120-kW solar power plant project for a water supply enterprise, demonstrating profitability with a net present value of 60,370 USD and an internal rate of return exceeding 21%. The project's payback period is estimated at 8.38 years, acceptable within industry standards. Sensitivity analysis indicates the project's financial resilience. Increasing electricity prices will boost profitability, justifying the solar power plant investment amid inflation and economic instability. Additionally, the project ensures reliable water transport and environmental benefits by reducing CO2 emissions through solar energy use. Thus, transitioning to renewable energy at water supply enterprises is feasible and essential for long-term sustainability, transforming operations to be more resilient, efficient, and environmentally friendly.

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.

PENGARUH RELATIONSHIP QUALITY DAN INFORMATION SHARING TERHADAP SUPPLIER PERFORMANCE DI PT XYZ

This study aims to analyze the influence of relationship quality and information sharing on supplier performance at PT XYZ. The study examines eight hypotheses, including the impact of trust, commitment, satisfaction with the organization, satisfaction with pricing, satisfaction with communication, information sharing on supplier loyalty, supplier communication, and supplier quality. The research method used is a survey with questionnaires distributed to 180 respondents from PT XYZ's supplier companies. Data analysis was conducted using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. The results show that commitment has a positive impact on information sharing. Satisfaction with the organization and satisfaction with pricing were also found to have a positive impact on information sharing. Information sharing significantly enhances supplier loyalty, supplier communication, and supplier quality. However, the influence of trust and satisfaction with communication on information sharing was not proven significant. These findings reinforce the importance of building high-quality relationships and effective information sharing in improving supplier performance. The managerial implications of this study include strategies to maintain and enhance high performance, resource optimization, simple monitoring, and focusing on improving high-interest, low-performance areas. This study also identifies several limitations and provides suggestions for future research.

The Role of Workplace Communication on Employees’ Performance in Tanzania: A Case of Tanzania Electric Supply Company (TANESCO)

Effective workplace communication is pivotal in enhancing employee performance, particularly in today's global business environment characterized by diversity and remote work dynamics. This study aimed to examine the role of workplace communication on employee performance within Tanzania Electric Supply Company Limited (TANESCO), focusing on how communication influences job correctness, decision-making, planning, and overall employee productivity. The study utilized a descriptive research design to collect data. A total of 36 participants were sampled using simple random. Data were gathered through questionnaires and analyzed using SPSS for quantitative data insights. The findings indicate a significant correlation between effective communication and enhanced employee performance. Specifically, open communication with supervisors was strongly linked to increased job correctness and performance (mean = 4.81). Communication was also found to facilitate decision-making and planning (mean = 3.53), and there was a recognized relationship between effective communication and overall employee performance (mean = 3.97). However, the traditional top-down communication approach was noted, with a mean score of 3.65, suggesting areas for improvement in adopting more inclusive communication practices. The study confirms the critical role of effective workplace communication in enhancing employee performance at TANESCO. Open and transparent communication, particularly with supervisors, significantly contributes to job accuracy and employee productivity. The study recommends that TANESCO implements structured programs to foster open dialogue, develops comprehensive communication strategies that balance hierarchical and inclusive approaches, and invests in regular training and assessment of communication practices. Additionally, adopting an 'open door' policy and engaging in active listening are suggested to enhance the communication framework within the organization.

Impact of Internal Control in the Management of Payments to Suppliers of Construction Companies

ABSTRACT Purpose: Determine to what extent internal control affects the management of payment to construction company suppliers. Theoretical Framework: Focuses on the importance of streamlining and avoiding delays in payment to suppliers through improving internal control in construction companies, based on COSO 2013 and the theory of Arthur Holmes. Method: A quantitative study of causal correlation type was carried out in a population of less than 50 individuals (38), so that we worked with a list of 38 workers related to the tax management of construction companies, given the small population, all of them. people were included in the study. Results and Discussion: The results obtained reveal a heterogeneous perception of internal control among the workers involved. A minority of consumers (5.3%) value it positively, while a slightly larger group (10.5%) consider it negative. Regarding the management of payment to testers, 73.7% of the participants rated it as regular. These findings suggest the existence of areas of opportunity in the implementation of internal controls, particularly in relation to payment processes. Research Implications: The results of this research highlight the importance of strengthening internal control systems in construction companies, especially with regard to the management of payments to suppliers. Given the dependence of these companies on their suppliers for the acquisition of supplies and services, efficient payment management is a key factor for the success of their projects. Originality: It presents a point of view on the role of construction companies in building efficient payment to suppliers through internal control. Conclusion: Internal control has a significant impact (80.2%) on the management of payment to suppliers of Construction Companies, which supports the formulated hypothesis of the study. It is necessary to encourage the active participation of employees through a clear understanding of their roles in tax management to achieve supplier payment management with efficiency and commitment.

Examining customer pressure and green supply chain management in emerging market: An institutional logics perspective

Employing contingency and configuration approach, this study explores the role of institutional logics in the relationship between customers' green expectations and firms' adoption of green supply chain management (GSCM) practices. The results of a survey of 310 supplier companies in China, an important emerging market, provide the empirical evidence for the coexistence of multiple institutional logics that are divergent from and almost incompatible with firms' GSCM practices. The multiple logics impose different and conflicting effects on the adoption of GSCM practices when responding to customers’ expectations. Thus, decisions about the adoption of GSCM practices are complicated and contingent on institutional logics. Despite advances in GSCM and rising customer expectations concerning sustainability and the environment, firms still struggle to engage suppliers. This study illuminates how multiple and competing institutional logics play a role in this area. Our results suggest that firms with predominantly cost logic are less likely to engage with GSCM compared to those with market or regulative logics.

Рынки электрической энергии/мощности и правовые аспекты конкуренции энергосбытовых компаний

Into this publication analyzes the legal implications of operating in electric energy and electric energy markets, competition among energy suppliers. The current condition of the market and its primary stakeholders are examined, and the principal issues and challenges encountered by energy marketing companies in this sector are identified. The study of the electric energy markets and capacity, along with the state of competition between energy supply companies, identifies key trends and problems in this area. The main challenges and limitations faced by organizations in this field are highlighted. The article also examines the impact of government regulation on the activities of energy supply companies and offers recommendations for improving their competitiveness and efficiency. In general, the issue of competition of energy marketing companies is considered, and an example is given that can be conside-red as a restriction of competition in the retail electric energy markets and capacity, conclusions are drawn on the reasons behind the predominant position of certain participants in the electric energy markets and capacity, proposals are made on the legal model of the organization of electric energy (capacity) markets.

Assessing performance of water supply operation of water companies in China: A union dynamic multi-activity network data envelopment analysis

Urban growth and the increasing urban water demand highlight the importance of performance analysis in the water supply industry. Both water supply companies (WSCs) and water supply and sewage companies (WSSCs) produce and deliver potable water for city dwellers. Water authorities use benchmarks to monitor the two types of companies’ operations. The internal operation process and heterogeneities of observations were not considered for relative performance evaluation by conventional DEA models. To overcome these limitations, this study proposes a union dynamic multi-activity network data envelopment analysis (DMANDEA) model to extend static network DEA to a more general case for dynamic efficiency assessment of the water supply operations of water companies. For the first time, the model allows for the decomposition of the water supply operation into water production (WP) and water consumption (WC) substages and performance comparisons for water companies by considering their heterogeneity simultaneously. Specifically, by using a non-radial directional distance function (DDF), the inefficiencies for substages and the entire system can be both assessed dynamically. This model is applied to a sample of 246 water companies in China in 2016–2018. The overall, period, and substages’ group efficiencies, meta efficiency, and technology gap ratio (TGR) for 179 WSCs and 67 WSSCs are all provided. The empirical results reveal that: (1) the average group efficiencies of WSCs and WSSCs are 0.4567 and 0.6611, respectively. The meta efficiencies of WSCs and WSSCs are 0.4523 and 0.4703, respectively. The TGR of WSCs (0.994) is greater than that of WSSCs (0.7067). (2) WSSCs perform better than WSCs do, which suggests that economies of scope do exist in WSSCs. However, WSCs possess the best technology for water supply operations because of their high TGR. (3) The average meta efficiency for all the observed water companies (0.4572) is not optimistic, which correlates more with inefficiency in the WP stage. The causes stem from the natural monopoly, lack of competition, and relatively lower water tariffs. The Chinese water supply industry requires diversification of ownership and operation modes, and gradual increases in water tariffs. (4) Water companies in the eastern region outperform those in other regions. Regional cooperation, such as technology sharing, the transfer of managerial experience, and information exchange, needs to be emphasized.

Consumer perspectives on interventions to combat fraudulent product returns in omnichannel fashion retail

PurposeThe expansion of online shopping aligned with challenging economic conditions has contributed to increasing fraudulent retail product returns. Retailers employ numerous interventions typically determined by embedded perspectives within the company (supply side) rather than consumer-based assessments of their effectiveness (demand side). This study aims to understand how customers evaluate counter-fraud measures on opportunistic returns fraud in the UK. Based on the fraud triangle and the theory of planned behaviour, we develop an empirically informed framework to assist retail practice.Design/methodology/approachWe collected 485 valid survey responses about consumer attitudes regarding which interventions are effective against different types of returns fraud. First, a principal component section evaluates the policies' effectiveness to identify any policy grouping that could help prioritise specific sets of policies. Second, cluster analysis follows a two-stage approach, where cluster size is determined, and then survey respondents are partitioned into subgroups based on how similar their beliefs are regarding the effectiveness of anti-fraud policies.FindingsWe identify policies relating to perceived effectiveness of interventions and create customer profiles to assist retailers in conceptualising potential opportunistic fraudsters. Our product returns fraud framework adopts a consumer perspective to capture the perceived behavioural control of potential fraudsters. Results suggest effectiveness of different types of interventions vary between different types of consumers, which leads to the development of propositions to combat the fraud.Originality/valueThis study is unique in assessing the perceived effectiveness of a range of interventions based on data collection and advanced analytics to combat fraudulent product returns in omnichannel retail.

Examining the Relationship between Safety Climate and Safety Behavior: A Case Study of Malaysia Power Supply Company

Examining the Relationship between Safety Climate and Safety Behavior: A Case Study of Malaysia Power Supply Company

Minitab 20 and Python based-the forecasting of demand and optimal inventory of liquid aluminum sulfate supplies

In a company, inventory management is crucial due to the significant impact on various aspects of the business. Similarly, the Indonesian water supply company (PDAM) requires effective inventory management to ensure the supply of liquid aluminum sulfate chemicals. The probabilistic statistical inventory control (SIC) model is commonly used for inventory management. However, previous research on chemical inventory models in PDAMs often relied on simple linear regression to forecast demand data, which fails to capture the inherent volatility in demand. Therefore, this research aimed to predict demand data using the seasonal autoregressive integrated moving average (SARIMA) method and determine the optimal policy for supplying liquid aluminum sulfate chemicals. The results showed that the best demand forecasting model was SARIMA (2,1,2) (1,1,0)12 with a mean absolute percentage error (MAPE) value of 8.19%. The finding of the optimal inventory policy showed a safety stock value of 11,922.35 kg, a reorder point value of 49,511.20 kg, and an order quantity of 21,526.59 kg, leading to a total cost of IDR 11,132,034,145.45. The sensitivity test also showed that variations in lead time, price, μ, and σ parameters directly influence changes in total cost, reorder point, and safety stock. These calculations were conducted using Minitab and Python software.

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.

Using Blockchain Technology at Supply Chain: The Sample of Migros

This study aims to determine the functionality and benefits of blockchain technology in food procurement. Within the scope of the study, Migros Trade Inc., a retail food supply company implementing blockchain technology in Türkiye, was examined as a case study. The study employed a qualitative research case study design, asking expert participants from Istanbul and Izmir to give their opinions on pre-designed themes, and conducting descriptive analyses of the data collected. The themes of the research are food supply chain, good agricultural practices, sustainability in food, blockchain applications in food supply and food safety. At the end of the study, it was found that the transparency and traceability principles of blockchain have a positive impact on consumers and supply chain stakeholders. However, challenges such as technical infrastructure and performance, as well as the reasons for not starting the process directly from the field, were the problems experienced. The data shows that blockchain technology is an efficient system that should be expanded in the food supply chain.

Towards Sustainable Energy Generation: Analyzing Wind Power Potential, Financial Viability, and Environmental Friendliness at Nok Kundi, Baluchistan

Pakistan is blessed with versatile renewable energy resources, solar and wind energies. Coastal areas of Sindh and Balochistan are the richest sources of wind energy, where adequate wind speeds are available for electricity generation. The Nok Kundi region of Balochistan has outstanding year-round wind speeds and tremendous potential for wind power generation. This study explores wind power potential, financial viability, and mitigation of carbon footprints. In this regard, simulations on the analysis of wind power potential, and financial viability are conducted in the ETAP and HOMMER software respectively. The data regarding the energy demand of Nok Kundi is obtained from Quetta Electric Supply Company (QESCO) Quetta and the data on wind speeds is obtained from the World Weather Online platform. The ETAP software is used to conduct the load flow analysis of a grid-connected system. The full financial analysis considered the state-of-the-art wind power installation site of 40 megawatts capacity to meet Nok Kundi's energy demand. Furthermore, the simulations are conducted in two scenarios i.e. isolated and grid-connected systems. Financial assessments (including the calculation of required capital and operating expenses) are conducted for both isolated and grid-connected systems by using HOMER software. According to the findings of the research, the grid-connected system provided significant benefits in terms of revenues and seamless grid connections. The proposed wind power plant can potentially help reduce the carbon footprints. The present research concluded that the proposed wind power plant can produce 47,581,913 kWh/year and at the same time can mitigate the generation of 47.20 million Kg of carbon/year and an average of 3.93 million Kg/month. This research contributes to providing a detailed feasibility of wind power plants from financial and environmental perspectives. This study addresses Sustainable Development Goal# 13 (SDG 13: Climate Action).

State Evaluation of Electrical Equipment in Substations Based on Data Mining

This paper explores the combination of a data mining-based state evaluation method for electrical equipment in substations, analyzing the effectiveness and accuracy. First, a Gaussian mixture model is applied to fit all raw data of electrical equipment. The Expectation Maximization algorithm summarizes the data distribution characteristics and identifies outliers. The a priori algorithm is then employed for data mining to derive frequent itemsets and association rules between equipment quality and measurement data. For new equipment samples, conditional probabilities of each feature are independently calculated and combined to classify and evaluate equipment quality. The results suggest that equipment reliability in smart substations can be inferred from historical and real-time operational data using improved association rule algorithms and Naive Bayes classifiers. Finally, the proposed method was applied to analyze statistical data from a 110 kV substation of a power supply company. The states prediction accuracy exceeded 95% when compared with actual equipment quality. The effectiveness evaluation metrics demonstrated that this method outperforms single-category algorithms in terms of accuracy and discrimination ability.

Coca-Cola Transfer Pricing Dispute: United States Case Analysis and Tax Policy Lessons for Indonesia

Decision of the Coca-Cola transfer pricing dispute in the United States Tax Court, which resulted in tax underpayment, can be used as a lesson for Indonesia. This research method is doctrinal, with a law, case, concept and interpretation approach. The data studied is secondary data in the form of laws, cases and relevant references, which are analyzed to obtain conclusions and recommendations. Research shows that the court considered using the Comparable Profits Method by tax authorities to evaluate the profitability of The Coca-Cola Company's supply points, given the difficulty of valuing intangible assets directly and the need for disproportionate profit adjustments. To avoid similar problems, companies in Indonesia must use transfer pricing methods that are reliable and appropriate to local conditions, as well as ensure good intellectual property management and documentation transparency, while tax authorities must monitor transactions between affiliated entities by international standards and the Arm's Length Principle.

Taking Solution-Based Metrology to The Next Level

Optimax supplies a range of metrology technology, but although the company supplies tactile and physical measurement products there is a focus on optical measurement which it sees as the future

Human Resource Management in Improving Employee Performance in Laboratory Supplier Companies

This research aims to determine human resource management in improving employee performance at a supplier company (CV. Dwi Mitra Sejahtera). The resource persons in this research were Directors, Employees and Customers of CV. Dwi Mitra Sejahtera. The research method in this proposal is qualitative with a case study approach. The data sources used are primary and secondary. Data analysis techniques use data reduction, data display and data verification, and SWOT analysis. The research results show that human resource management at Cv. Dwi Mitra Sejahtera is not running well and needs to be evaluated.

PENGARUH KOMUNIKASI BISNIS DAN STRATEGI ALIANSI TERHADAP KINERJA MANAJEMEN RANTAI PASOK PADA PT. “XXX” BANDUNG

Abstract Very tight competition requires business managers to create new models in managing the flow of products and information. Due to the smooth supply of raw materials PT. "XXX" Bandung can maximize the production process so that the volume of products sold can increase. In its implementation, supply chain management is strongly influenced by suppliers. With the existence of other companies that affect the production process, it is the obligation of PT. "XXX" Bandung to establish quality cooperation. Communication in business is seen as an important element for the success of cooperative relationships between companies because in reality it proves that cooperative relationships between companies always involve communication. Having different suppliers means that companies need to make adjustments in the field because each supplier certainly has different characteristics such as the way to communicate, the ability of the supplier itself, and the quality of the raw materials produced. The quality of good cooperation between the company and its suppliers will also have an impact on the production process that occurs in the company. The method in this study uses a quantitative descriptive method with 126 respondents as a sample of supplier companies in the city of Bandung. Data was collected by using a questionnaire method via google form and interview by telephone. Data processing is carried out using structural equation model analysis (SEM) with AMOS 20 software as a tool. The result of the research is that there is a positive and significant effect of business communication, alliance strategy on supply chain management performance is a simultaneous influence. While the effect of business communication or alliance strategy on supply chain management performance is a partial influence and the occurrence of a positive and significant influence.