Supply Chain Operations Reference Research Articles

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.

Halal Supply Chain Performance Measurement with Supply Chain Operations Reference Approach

Bakso Mantul is a household industry produces ready-to-eat packaged frozen meatballs with sales areas in South Sumatra, Indonesia. The absence of halal certification of the products failed the business to get benefit of increasing income and consumer’s trust. The obligation to certify halal products is based on the Law of the Republic of Indonesia No. 33 of 2014. The preparation and performance measurement of halal supply chain management implemented by Micro, Small, and Medium Enterprises (MSMEs) could support to obtain the certification. The purpose of the study is to prepare Key Performance Indicators (KPIs) using Supply Chain Operations Reference (SCOR) as a form of standardization. SCOR could be used to maintain the products’ halal quality and measure the performance of all halal supply chain activities in the cycle view push process. From the validation results carried out by internal and external respondents of MSMEs, 12 KPIs obtained are considered valid and could be used to measure the performance of halal supply chain. From the measurement, a value of 50.78 is still categorized as average based on the Snorm De Boer system. The KPI analysis using the Traffic Light System (TLS) shows that seven KPIs are satisfying, four are not satisfactory, and one is marginal.

Development of a green supply chain management strategy for the aquaculture industry: The case of the common carp (Cyprinus carpio L.) hatchery industry in Ciparay District, West Java, Indonesia

Green Supply Chain Management (GSCM) is important in the sustainable aquaculture industry owing to environmental concerns and to achieve responsible management. However, research on GSCM in aquaculture is limited. This study aimed to develop conceptual framework and strategies for GSCM in carp hatcheries in the Ciparay District, West Java, Indonesia. The GSCM strategy was developed through the following steps: (1) observation and interviews with farmers and literature review to develop conceptual GSCM; (2) interview and questionnaire dissemination to farmers for green supply chain operational reference (SCOR) - Analytical Hierarchy Process (AHP) scoring to determine the performance of hatcheries that meet GSCM standards; and (3) formulation, using findings from green SCOR-AHP, of development strategies using SWOT and Quantitative Strategic Planning Matrix (QSPM) analysis for GSCM strategy development. The results showed that the conceptual GSCM in the aquaculture industry accommodates environment-friendly cultivation, resource management, distribution, waste management, and biosecurity. The performance of the GSCM in carp hatcheries was marginal and required improvement. The improvement was addressed using 12 alternative strategies grouped into environmental collaboration, green manufacturing, and investment recovery. Priority strategies included forming joint farmer groups for collaboration, training programs for green manufacturing, and using fish waste as pellets for investment recovery. Strategies are expected to improve GSCM in the carp hatchery industry and related sectors.

SMART HALAL SUPPLY CHAIN PERFORMANCE: INDONESIA FISHERY PORTS SUSTAINABLE

Performance plays a crucial role in a company's survival, as it determines its success rate. We conducted this research to design performance measurements for a retail business in Fish Landing Ports, utilizing the Halal Supply Chain Operation Reference. This approach aims to gauge the current value of the company's performance and offer recommendations for potential improvements. Until now, the company has not conducted performance measurement across all its business process networks, focusing solely on product sales and profit value. Therefore, the company conducted research using the SCOR (Supply Chain Operation Reference) method based on Islamic values, with the expectation of measuring supply chain performance more objectively and in detail to create competitive advantages. We use the AHP (Analytical Hierarchy Process) method to assign weights to each criterion in the SCOR design. The supply chain performance measurement design yields its results. We obtain 22 metrics, five of which are based on Islamic values and categorised into five main business processes: plan, source, make, deliver, and return, drawing on literature and expert opinions for guidance. We carry out the assessment using a normalisation process to equalise the scale of values on each metric. The performance measurement results are very satisfactory, with a value of 91.713144. However, four metrics still have low values, indicating the need for improvement proposals. Furthermore, the plan has the highest weight of 0.42, followed by deliver, source, and return, all of which have weights of 0.22, 0.22, and 0.14 respectively.

Supply Chain Performance Measurement: The Green Supply Chain Operation Reference (SCOR) Approach

Purpose: This study aims to design metrics and implement supply chain performance measurements of upstream textile companies in Indonesia using the Green Supply Chain Operation Reference (SCOR) perspective approach. Methods: The design and measurement approach uses Green SCOR based on metrics developed by APIC. The weighting of level one and level two assessment metrics using the Analytical Hierarchy Process (AHP) method is based on the results of questionnaires from 20 upstream textile companies spread across the island of Java. Results and discussion: The main findings show that supply chain performance in the upstream sector of textile companies in Indonesia can be classified as good if measured using a supply chain performance metric design with the Green Supply Chain Operations Referendum approach. Opportunities to improve performance in the plan, source, make, delivery, and return aspects using Green SCOR's best practices in the textile industry. Implications of the research: The study's limitations did not include the financial aspects of the company, so it cannot provide a complete picture of the company's supply chain performance. Originality/value: The knowledge gained from this study is an important reference for managers of upstream textile companies to improve the company's green supply chain performance in the future. Managers can set improvement priorities based on the results of performance measurements on the dimensions of reliability, responsiveness, flexibility, and environmental aspects based on the metrics designed by the researcher. In addition, the design of this metric can be used by companies in the medium and downstream textile industry to improve the overall green supply chain performance of the textile industry.

Evaluation of the SCOR Model Research

With the rapid development of logistics in China, the supply chain process operation of enterprises is more and more valued by enterprises, how to improve efficiency and maximize the benefits of enterprises at the same time of cost reduction is the core concern of enterprises. In supply chain operation and management, the supply chain operation reference model, or SCOR model, is a very important tool. This paper provides a brief description of the current status and model introduction of the SCOR model, as well as the SCOR-DS model, which is proposed to be improved based on the SCOR model at the end of 2022, for the reference of model users.

Supply Chain Operation Reference on Plywood Industry: A Case Study in Indonesia

The phases that comprise the supply chain are the acquisition of primary materials, distribution, manufacturing, and, ultimately, delivery to the customer. To ensure performance improvement is sustained, the industry must determine the extent to which its industrial supply chain performance requires examination and improvement. The objective of the case study was PT. KTC, the preeminent plywood enterprise in South Sulawesi, Indonesia, implemented Supply Chain Management to control material flow. Supply chain operations are comprised of the supply chain operation reference (SCOR), which is composed of the following five key management processes: planning, sourcing, manufacturing, delivering, and returning. The procedure utilised to analyse the performance measurement in this research was the Analytic Hierarchy Process (AHP). As indicated by the study, the KTC supply chain is deemed to be of good overall effectiveness, with a score of 75.21. The volume of consumer complaints, product replacement, and product repair are three aspects of supply chain performance that necessitate improvement due to the deployment of AHP weighting. Modifications to these measures are necessary to optimise the supply chain operations of KTC.

Supply chain process structure diagram for processing unit of Arabica Coffee Kintamani Bali

Supply Chain Operational Reference (SCOR) is an approach that can be used to map processes in the supply chain. Process mapping is very useful for understanding the flow of products, money and information. Process mapping can make it easier to evaluate supply chain management weaknesses. This paper aims to map the process flow using the SCOR approach at the Kintamani Bali Arabica coffee processing unit. SCOR contains a structured hierarchy of goods, money and information flow processes which are described in three levels. Level 1 in the supply chain of the Kintamani Bali Arabica coffee processing unit describes the implementation of the planning process, source, make, and delivery. Level 2 shows the process category which consists of two process categories based on stock for processing fresh coffee and based on order-based processes for processing green bean, roasted and ground coffee. Level 3 shows the stages of process elements in each category. This level starts from the entire supply chain planning process stage, to the customer order delivery process stage. The results of this paper describe the structure of the SCOR model at the Kintamani Bali Arabica coffee processing unit connecting all interrelated product, money and information flow processes.

Analyzing Food Loss in Banana Pepper (Capsicum annuum) Production: Causes, Impact, and Challenges, A Case Study of Large-Scale Farming in the Hot District, Chiang Mai, Thailand

This study aimed to assess both quantitative and qualitative food loss in banana pepper production at the agricultural level. Its objectives included employing the Supply Chain Operations Reference Model (SCOR Model) for analysis, identifying root causes of losses and evaluating quantity and quality. Food loss here refers to diminished quantity and quality due to supply chain decisions and actions. Data collection and analysis included an extensive literature review, compilation of secondary data, primary data gathering via questionnaires and measurements of lost banana pepper yield during harvesting. Qualitative insights were acquired through in-depth interviews and focus group discussions. The study identified weather variability as the primary driver of food loss, with many farmers lacking access to climatic measuring tools. Additional losses, assessed visually, comprised damage from diseases, pests, stunted growth, mechanical issues and other factors, accounting for 13.68, 10.13, 6.95, 4.03 and 7.01 % of the total loss, respectively. Remarkably, only 57.93 % of the produce met quality and sale readiness criteria. The loss of banana peppers was estimated at 55.21 %, equivalent to 1,189.62 kg/rai, resulting in an economic loss of 35,688.58 Baht/rai. The study also noted significant nutrient losses, including energy, carbohydrates, fiber, protein, potassium, phosphorus, vitamin B1 and vitamin C, amounting to 321,197 kcal/rai and 57,102, 38,068, 17,844 g/rai and 3,045,427, 559,121, 487,744, 166,547 mg/rai, respectively. Farmers, while aware of food loss issues, often struggle to quantify them accurately. This study’s findings can raise farmers’ awareness and aid in designing training programs to mitigate such losses. However, addressing the inherent variability and unpredictability of on-farm food loss remains a challenge. Future research should prioritize a comprehensive analysis of banana pepper losses on farms. HIGHLIGHTS Weather variability was identified as the primary driver of food loss, exacerbated by limited access to climatic measuring tools Various factors contribute to food loss, including damage from diseases, pests, stunted growth and mechanical issues, accounting for 68 to 7.01 % of total loss Significant economic and nutrient losses, with a 21 % loss of banana peppers, resulting in an economic loss of 35,688.58 Baht/rai and substantial nutrient losses in various categories GRAPHICAL ABSTRACT

Analisis Rantai Pasok Ketersediaan Bahan Baku Produk Pertanian Jenis Beras dengan Metode Supply Chain Operations Reference

Supply chain management affects the availability, sufficiency, and quality of raw material inventory. With effective supply chain management, the inventory will always be well-maintained, meeting the needs and demands when required, especially at UD. Fajar Samudra. The purpose of this research is to understand the supply chain management regarding raw material inventory at UD. Fajar Samudra using a descriptive qualitative research method that addresses in more detail the specific and in-depth issues studied at UD. Fajar Samudra. In qualitative research, the population and sample are referred to as informants (company executives, warehouse managers, and the three largest suppliers at UD. Fajar Samudra). The research results indicate that the supply chain management at UD. Fajar Samudra shows that the supply chain management has not been able to meet the raw material inventory due to several issues in the field. These issues include inadequate procurement of raw materials due to the selection of rice types that do not match the requirements, damaged rice quality due to distribution processes, and unfulfilled quantity needs or demands, leading to dissatisfaction among consumers, as measured by the Supply Chain Operations Reference (SCOR) performance metrics. The advice that can be given to UD. Fajar Samudra is to make improvements by conducting forecasting based on historical sales data, engaging suppliers that implement management information systems, and implementing line balancing to enhance production strategies.

Blockchain sharding for e-commerce supply chain performance analytics towards Industry 5.0

ABSTRACT In today’s competitive and volatile e-commerce markets, effective supply chain performance measurement (SCPM) gradually becomes essential for investigating pitfalls and loopholes in strategic vendor management and business development. Surrounding the atmosphere of Industry 5.0, sustainability and resilience are two primary pillars, which should be further considered in the SCPM beyond merely operational effectiveness and efficiency. This study customises evaluation criteria based on the green supply chain operations reference model. Moreover, a blockchain sharding-enabled performance analytics system is designed, where a real-life case analysis is conducted to verify the system efficacy. Consequently, the supply chain sustainability and resilience can be fostered.

Supply chain performance analysis using the SCOR method

The current era of globalization requires companies to meet market demands in order to get the right tactics or strategy. This research was conducted at PT. Budi Starch & Sweetener has several obstacles in carrying out its supply chain activities such as delivery delays, supply uncertainty and problems in the production process. So, measuring Supply Chain performance is very important so that companies can know the extent of Supply Chain performance achieved by the company. Supply chain performance measurement is carried out using the Supply Chain Operations Reference (SCOR) method with the Key Performance Indicator (KPI) validation phase, calculation of actual KPI values, and weighting of metrics for each level using the Analytical Hierarchy Process (AHP) method. After processing the data, the result was that 16 performance indicators were selected from a total of 36 performance indicators. To determine the main criteria and priorities, performance indicators are weighted using the AHP method. The calculation result of the total performance value is 76,41, so the performance measurement at PT. Budi Starch & Sweetener Tbk is included in the good scale. However, the results of data processing of actual values which were then normalized to Snorm De Boer still contained 5 indicators which showed a value of less than 90 and required improvement, namely accuracy of estimates, raw material planning, on-time delivery performance by suppliers, compliance with production schedules, and number of problems. machine. It is hoped that companies can issue appropriate policies regarding of these five performance indicators, so that the level of achievement of Supply Chain Management (SCM) targets in companies can be further increased.

Using DEMATEL, clustering, and fuzzy logic for supply chain evaluation of electric vehicles: A SCOR model

<abstract> <p>The transportation sector is considered among the major sources of greenhouse gas emissions. Given advancements in transportation technology, customers' willingness to reduce carbon footprints, as well as policy incentives, Electric Vehicles (EVs) are becoming an increasingly important part of the passenger vehicle industry. Evaluation of Supply Chain (SC) performance in the EV industry seems to contribute significantly to the enhancement of the operational consequences across the supply chain tiers. The SCOR (Supply Chain Operations Reference) model was designed to help businesses optimize their supply chain operations, reduce costs, and improve customer satisfaction. Although many performance measurement models have been developed in the context of SC, there is no performance measurement model in relation to the EV supply chain based on indicators of customer perceived value (Reliability, Responsiveness and Agility) in the SCOR model. Therefore, we aimed to develop a new method to evaluate the performance of the EV supply chain using a set of critical SC performance evaluation indicators. Multi-criteria decision-making along with machine learning was used in order to develop a new method for evaluating SC performance. We used k-means clustering and fuzzy logic approaches in the development of the new method. An assessment of indicators' importance level was performed using the fuzzy logic approach. The results of the method evaluation show that the proposed method is capable of predicting the performance of the EV supply chain accurately. According to the results, by optimizing their supply chain, companies can improve their ability to deliver products and services that meet or exceed customer expectations, resulting in higher customer perceived value and customer satisfaction.</p> </abstract>

Demystifying the challenges of water, sanitation and hygiene in rural high schools

Basic sanitation is an essential human need to preserve dignity as well as health. However, many South African schools confront challenges in providing a sufficient level of sanitation. This has been exacerbated by the global Covid-19 pandemic. This study employed the Supply Chain Operations Reference (SCOR) model to examine the challenges affecting efficient and effective sanitation supply chain operations in disadvantaged rural high schools. It also assessed the extent to which high schools engage in planning, sourcing and operations processes for integrated supply chain sanitation, hygiene and service delivery. An exploratory design was adopted and thematic analysis was employed to analyse the data collected from 21 participants in high schools in Ngaka Modiri Molema District, and two from the Department of Basic Education in North West Province. The results showed that the majority of schools, especially those in rural areas, confront supply chain basic health sanitation challenges such as a shortage of water and sanitary pads as well as vandalism, with the lack of financial resources identified as a significant challenge. Based on the findings, the study recommends supply chain integration, improved communication with suppliers and the adoption of the SCOR model to enhance the provision of basic sanitation and water

Green Supply Chain Performance Analysis of Cowhide Crackers Industry

Cowhide crackers Small and Medium-sized Enterprises (SMEs) process beef skin crackers as a home-based business. However, their supply chain faces challenges due to unstructured activities. Waste management, particularly cowhide and used water disposal, is inefficient. Research aims to evaluate performance indicators, measure green supply chain performance, and assess supply chain maturity. The methods employed include Analytical Hierarchy Process (AHP), Green Supply Chain Operation Reference (GSCOR), and Process Maturity Model (PMM). Results indicate a green supply chain management score of 58.901, with an average performance level influencing a maturity model value of 3.95. This places supply chain performance in the “managed and measurable” category. Three indicators, including recyclable percentage, cycle time, and environmental performance standards, have values below 50, necessitating improvement proposals. The research highlights areas for enhancement to enhance efficiency and sustainability in the cowhide crackers SMEs’ supply chain, crucial for long-term success and environmental responsibility.

Towards Sustainable Batik Production: A Green SCM Evaluation and Improvement Recommendations

Kampung Batik Laweyan Solo in Central Java is a renowned center of batik industry in Indonesia. Companies there, including Batik Mahkota Laweyan, are involved in environmental issues throughout the supply chain, from raw material procurement to final production. Major challenges include direct waste disposal into rivers, excessive water usage, and inefficient use of synthetic dyes and waxes. This study aims to evaluate the performance and maturity of Green Supply Chain Management (GSCM) at Batik Mahkota Laweyan. Primary and secondary data were collected and analyzed using tools such as Green Supply Chain Operation Reference (GSCOR), Analytical Hierarchy Process (AHP), and Process Maturity Model (PMM). The research findings indicate a GSCM performance of 53.327 and a maturity level of 4.308. The company needs to improve three Key Performance Indicators (KPIs): electricity usage savings, efficient use of WWTP, and efficient water usage through recycling uncontaminated wash water. Thus, this study provides insights into how the batik industry can enhance environmental sustainability within its supply chain.

공급사슬네트워크에서 비즈니스 애널리틱스의 영향에 관한 연구

The purpose of this study is to empirically investigate the relationship between organizational business analytics capability and supply chain performance in order to identify the impact of business analytics in supply chain network. Specifically, drawing on literature streams in Supply Chain Operations Reference Model and Information Processing Theory, this study conceptualizes the notion of business analytics capability in supply chain network, develops its structure as a reflective model, and tests the constructs and operational measures in the model. And then this study investigates the relationship between analytics capabilities in the plan, source, make and deliver area of the supply chain network and its performance using business process orientation and information system support as moderators that form the basis of our theory. Conducting an empirical study of 170 Korean manufacturing firms, this study, through the successive stages of measurement model analysis, provides empirical evidence for modeling reflective indicator and construct of business analytics capability in supply chain network. As a result, the construct of business analytics capability is posited to reflect a combination through analytics capabilities in the plan, source, make and deliver area of the supply chain network. And the findings suggest the existence of a statistically significant relationship between business analytics capabilities and supply chain performance. The moderation effect of information systems support is considerably stronger than the effect of business process orientation. These findings provide a better understanding of the areas in supply chain network where the impact of business analytics may be the strongest.

Risk Analysis on the Cassava Value Chain in Central Lampung Regency

The Central Lampung Regency is the center of cassava production in Lampung Province, the Indonesia’s largest cassava-producing province. Cassava has much promise; however, various risks arise throughout the value chain. Risks in the agricultural sector, including cassava farming, are unavoidable and severely impact stakeholders and consumers. This study aimed to identify the risks and the most effective mitigation measures for the cassava value chain. This research was conducted using the House of Risk (HOR) method, divided into two phases: HOR 1 and HOR 2. It involved 286 samples encompassing 263 farmers, six traders, three tapioca industries, eight non-tapioca industries, and six financial institutions. The risks were determined through the Supply Chain Operational Reference (SCOR) model. The results unveiled several priority risks in the cassava value chain, consisting of unpredictable weather changes, scarcity of fertilizers, the absence of farming standards, limited capital, delivery technical problems, price fluctuations, negligence of the workforce, default credit, and lack of customer or farmer knowledge leading to confusion. Furthermore, the risk mitigation actions covered preventing the risks of cassava farming; applying appropriate technology; utilizing production, marketing, and financing system assistance; preventing the risks of cassava trading business; implementing a structured market system; developing access to financing, institutions, and markets; developing marketing infrastructure; developing adaptive farming; monitoring during the credit period; socializing risk management to employees; and providing institutional, financing, and production assistance.

Analisis Rantai Pasok Toko Ban dengan Penerapan SCOR dan AHP

The research carried out aims to describe the supply chain of XYZ Tire Shop using the SCOR (Supply Chain Operations Reference) and AHP (Analytical Hierarchy Process) methods. The SCOR method is used to understand and identify important elements in the supply chain, including suppliers, production, distribution and customers. Furthermore, the AHP method is used to evaluate and prioritize relevant criteria in decision making, such as supplier selection, risk management, and distribution improvement. By integrating SCOR and AHP, XYZ Tire Shop can improve their operational efficiency and supply chain performance. This analysis provides valuable insight into optimizing coordination with suppliers, inventory management, and investments in distribution improvements. The results of this research provide practical guidance for XYZ Tire Shop in improving the best decision making in managing their supply chain. And it can be concluded that the best tire recommendation for procurement of goods is Bristone 205/65 R16 Ecopia.

Measuring Supply Chain Performance for Khanh Hoa Sanest Soft Drink Joint Stock Company: An Application of the Supply Chain Operations Reference (SCOR) Model

As Khanh Hoa Sanest Soft Drink Joint Stock Company attempts to satisfy consumer requirements and maintain market share in the salangane nest industry, it is important to monitor the efficiency of its supply chain (SC). This paper identified metrics to evaluate the firm’s SC performance, using secondary data from firm records, primary data from a survey of 200 sales agents, and the Supply Chain Operations Reference (SCOR) model. Production records revealed a manufacturing lead time of 11 days and a production time of 24 h plus 7 days for refrigeration and observation. Order fulfillment delivery times ranged from 13 to 16 days. About 86.0 percent of customers rated the product as good or very good, and 60.5 percent claimed benefits from consuming the product. SC management costs of goods sold were 75.27% of total costs, while production cost was 41.99% of total costs. Total assets increased 16.6% from 2019 to 2021, but profits declined by 32.9% for the same period, while return on assets fell 42.4%. To maintain a competitive advantage, the company should apply information technology to improve SC performance. The results showed that the SCOR model is appropriate for evaluating the performance of this firm and similar business enterprises.