Supply Chain Performance Measurement Research Articles

Frugal Innovation Strategies and Supply Chain Performance of Food and Beverage Firms in South-South Nigeria

This study explored frugal innovation strategies and supply chain performance of food and beverage firms in South-South Nigeria. It critically analyzed the dimensions of frugal innovation strategies (value innovation, cost cutting advancement and technological innovation) and relate them to supply chain performance measures (product availability, on-time delivery and supply chain flexibility) of food and beverage firms. The study applied the positivist research philosophy and correlational research design. The population of this study comprised 82 registered food and beverage firms in South-South Nigeria. The sample size consisted of 68 food and beverage firms in South-South Nigeria. The Taro Yamene’s formula was used to determine the sample size for the study. The sampling unit consisted of managers of the selected food and beverage firms in South-South Nigeria. A structured questionnaire was used for data collection in this study. The data collected were analyzed statistically while the Pearson Product Moment Correlation Coefficient (PPMCC) was used to test the formulated hypotheses. The SPSS software program version 24 was used to correlate the data collected on the study variables. The findings revealed that value innovation has a significant relationship with product availability, on-time delivery and supply chain flexibility of food and beverage firms. This study also revealed that cost cutting advancement has significant relationship with product availability, on-time delivery and supply chain flexibility of food and beverage firms. The study equally revealed that technological innovation has a significant relationship with product availability, on-time delivery and supply chain flexibility of food and beverage firms. Based on these findings, it was concluded that frugal innovation strategies such as value innovation, cost cutting advancement and technological innovation are significant predictors of supply chain performance of food and beverage firms in South-South Nigeria. Based on the findings and conclusion, it was recommended that food and beverage firms in South-South Nigeria should adopt frugal innovation strategies as it would improve their supply chain performance.

Evaluating Supply Chain Performance through Financial Metrics: A Study in a Manufacturing Industry

This empirical study is based on primary data emphasizing the importance of evaluating supply chain performance through financial metrics, each activity within the supply chain directly impacts both the top line and bottom line of a business. In today's challenging business environment, organizations must prioritize monitoring their financial performance to ensure enduring resilience. The economy of Bangladesh has encountered turbulence due to disruptions such as the aftermath of the COVID-19 pandemic and the ongoing global political unrest. These occurrences have significantly impacted the business landscape, resulting in uncertainties in both demand and supply, shifts in consumer purchasing patterns, and notable increases in the prices of essential commodities and raw materials, therefore, the overall cost of business has risen. This study investigates the consequences of various disruptions, both internal and external, on the economy, adversely affecting organizations. The ability of an organization to withstand such challenges depends on maintaining robust financial and operational performance. Given the persistent global upheaval, there is a compelling need for an innovative approach to enhance supply chain optimizations, overall operational efficiency, and meticulous budget control and variance analysis aligned with financial planning. This is crucial at a substantial level to ensure positive entries in the profit and loss account and maintain a healthy cash flow statement. This study is done based on twenty-four (24) manufacturing sectors of Bangladesh. To address these challenges, the study advocates an Integrated Supply Chain Performance Measurement (ISCPM) model. This model contributes to academia through a novel approach, demonstrating its effectiveness by employing ten attributes to evaluate supply chain performance, with a specific focus on the financial performance termed Financial Health (FH), an attribute to measure supply chain performance in an organization. The study further elaborates Financial Health attributes into five key Performance Measurement Index (PMI) which are Economic Performance, Cost, Budget Variance, Inventory, and Planning Variance —within the context of manufacturing operations, providing insights into various facets of their impact. The study significantly contributes to the industry for practitioners by bringing synergy into the framework and performance measurement attributes, ultimately adding value to the manufacturing industry.

Evaluating supply chain performance measurement system (SCPMS) lifecycle during unexpected events

ABSTRACT Supply chain management is recognized as a crucial element in boosting organizational performance and competitiveness. However, the COVID-19 crisis has demonstrated that many corporations were unprepared and lacked a recovery strategy, which led to significant supply chain disruptions. Hence, the purpose of this study is to evaluate the Supply Chain Performance Measurement System (SCPMS) lifetime under unforeseen situations, particularly in developing nations like Egypt, and its relevance during the pandemic and post-pandemic periods. A systematic questionnaire was used to gather data from 100 manufacturing firms (supply chain and retailers) with large business volume who provided a total of 562 questionnaires. The findings indicated that there were four main measurement systems: SCPMS Design, SCPMS Implementation, SCPMS Use, and SCPMS Review. The results of the AHP method found that the SCPMS implementation was the most important system, while the least important was SCPMS design.

Measuring Supply Chain Performance Using the SCOR Model

Measuring Supply Chain Performance Using the SCOR Model

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.

Analysis Of Ship Main Engine Procurement Process In The Shipyard Industry Using Supply Chain Operation Reference Method (SCOR) (Case Study: PT XYZ)

As a sector playing a crucial role in ship construction and repair, the shipbuilding industry faces significant challenges in material procurement, where materials constitute 50-70% of the total project cost. One of the materials requiring paramount attention is the ship's main engine. Effective supply chain management is critical to enhancing efficiency and effectiveness in the procurement process of ship engines. However, supply chain performance measurement research, especially in ship engine procurement, still needs to be improved. Therefore, this study aims to identify relevant performance metrics, analyze critical performance indicators, and provide recommendations based on the SCOR (Supply et al.) framework to improve ship engine procurement. The research results present 24 metrics distributed into four performance attributes based on SCOR 12.0, with 22 selected metrics aligned with the company's context. Analysis using the AHP method indicates that the reliability attribute has the highest weight (0.296), with the metric "Percentage of procurement received on time as per request" being the top priority (weight 0.143). This study provides a holistic view of crucial aspects of the ship engine procurement supply chain, supporting companies in enhancing their performance in the procurement process.

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.

Reverse Supply Chain Modeling at XYZ Recycling Company

Attention to the reverse supply chain is increasing due to the increasing value of products and technologies at the end of the supply chain as well as the direct impact of new environmental legislation. Design strategies for reverse supply chains remain relatively unexplored and underdeveloped. Meanwhile, measuring supply chain performance has also become important as understanding, collaboration and integration have increased among supply chain members. It also helps companies to target profitable market segments or identify areas for improvement. Reverse supply chains are seen as one way to increase profits for companies. Company XYZ is a company that operates in recycling products from surrounding shops. This paper will focus on measuring reverse supply chain performance at XYZ recycling company. A simple general framework of the company will be presented as well as its mathematical model. This simple general model is considered applicable by small and medium businesses to optimize their reverse supply chain systems

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 Measurement Model at PT. Metito Indonesia Based On Business Intelligence Power BI

Supply chain is one of the important aspects in a company. An effective supply chain can help companies to increase efficiency, effectiveness, and profitability. The purpose of this research is to develop a supply chain performance measurement model at PT Metito Indonesia based on Power BI Business Intelligence. This research is a type of qualitative research that uses a descriptive approach. The data collection technique in this research was carried out by observation and literature study. This research was conducted at PT Metito Indonesia which is located at Jl. Ampera Raya No. 18A, East Cilandak, Kemang, South Jakarta. Data validity tests in this study include tests, credibility, transferability, dependability, and confirmability. The research results show that measuring supply chain performance at PT Metito Indonesia can increase its competitiveness by adopting strategies that are more adaptive and responsive to market changes. Using BI Power BI helps companies to be more proactive in making strategic decisions that have a direct impact on increasing competitiveness in the market, increasing operational efficiency, and strengthening the company's position in a competitive industry.  
  

Supply Chain Collaboration during Disruption through Sales & Operations Planning: A Study in a Manufacturing Industry

The study is based on primary and secondary data which unlocks a sequential supply chain disruption that occurred due to the pandemic and subsequent occurrences, including geopolitical tensions involving Ukraine and Russia, as well as Palestine and Israel. The geopolitical landscape is contingent upon the comprehensive strategic choices made by global leaders representing the United States, Russia, Turkey, India, the European Union, and Middle Eastern countries. There are several attempts made by researchers and industry practitioners to appropriately synchronize the demand and supply during this disruption. Substantial research has been conducted and literature is available in the field of supply chain collaboration. However, collaboration can’t be ensured unless the end-to-end SCM is synchronized through the Sales & Operations (S&OP) planning. Achieving smooth collaboration poses a formidable challenge, particularly amid disruptions and volatile conditions as seen today. This research undertakes a comprehensive examination by conducting a systematic literature review on various facets of sales and operations planning (S&OP), coupled with a survey utilizing a self-administered questionnaire across 24 manufacturing industries in Bangladesh. The primary aim of this paper is to assess S&OP best practices by evaluating different aspects applied in the industry, to ensure seamless connectivity, collaboration, and establishing criteria for measuring performance in the S&OP process. The authors underscore the significance of integrating S&OP and ultimately propose an innovative approach that integrates 10 attributes of supply chain performance measurement (SCPM) to fortify the S&OP process, enhancing its overall performance and effectiveness. This study not only paves the way for researchers and academia to investigate deeper into collaboration and risk management within supply chain management (SCM) operations during disruptions but also recommends industry practitioners novel concepts to enhance overall efficiency and provide substantial visibility into business operations.

Supply Chain Performance Measurement at PT. Perkebunan Nusantara XIV Camming Sugar Factory in Bone District

PTPN XIV (PERSERO) of Camming Sugar Factory in Bone Regency Measuring work results in the company is one of the company's performance evaluation tasks, namely to find out if the results achieved are good enough or still need improvement. The characteristic of a weak result is the fact that the company's goal is not achieved in the desired way. The objective of this study is to identify the KPIs and measure the performance indicators at the Bone Regency of PTPN Camming Sugar Factory. Key Performance Indicator (KPI), Lean Supply Chain Management (LSCM), and Analytic Hierarchy Process (AHP) methods are used in this study. The results of this study provide 11 Lean metrics that align with business conditions. Once the indicators are obtained, the KPI weighting is carried out using the Analytical Hierarchy Process (AHP), prioritizing the performance criteria of the production and supply departments. KPIs that have a significant impact on a company's supply chain performance. This is reflected in the highest order of weight in three KPIs, namely production department performance criteria, employee productivity attributes (0.573) and delivery department criteria, on-time loading (0. 85), and delivery (0.372) attributes. with a weight percentage of 19.1, 16.20% and 12. 2%. The KPIs in the lowest weight category are collection (0.120) and delivery (0.116) with a weight percentage of .01% and 3.87%.

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.

Linking supply chain performance with organizational strategic performance – a review and research agenda

PurposeThis article aims to comprehensively review the measurement and management of supply chain performance (SCP) and strategic performance (SP). It strives to identify integrable features regarding frameworks, measurement approaches, practices and emerging research issues in these areas to integrate SCP and SP for measuring and managing performance. It intends to develop a dynamic-integrated-performance-system by incorporating integrable aspects of SCP and SP to link these domains for organizational performance improvement.Design/methodology/approachUsing systematic-literature-review, this study analyzes 154 articles published in selected peer-reviewed international journals from 2000 to 2023 regarding SCP and SP. It assesses existing knowledge regarding research-design followed, challenging areas and imperatives in these critical business domains to investigate the prior conceptual, empirical, case study-based and literature-review-based articles.FindingsThe study identifies integrable features regarding key theoretical and measurement frameworks, critical objectives, significant measures, effective practices for measuring and managing SCP and SP and emerging research issues common to these areas. The findings help develop a dynamic-integrated-performance-system that uses the theoretical lenses of resource-based-view/dynamic-capability-theory and adopts a comprehensive framework like DBSC (system-dynamic-model with BSC perspectives). It incorporates identified integrable measures and best practices to monitor, measure, manage and improve organizational performance for sustainable competitive advantage. The article reveals that earlier studies have overlooked analyzing SCP and SP integration aspects.Research limitations/implicationsFrom the theoretical viewpoint, the present SLR is unique in three ways: first, in investigating both the measurement and management of SCP and SP holistically; second, in identifying integrative features of these two; and third, in proposing a DIPS to link SCP and SP for performance improvement. The study reveals that existing literature has focused on measuring and managing SCP and SP in isolation without attempting a comprehensive and unified approach to integrate the respective domains. The present SLR adopts a holistic approach to link SCP and SP from SCM and strategic-management perspectives. The study proposes a dynamic-integrated-performance-system to measure, manage and improve performance in a unified method.Practical implicationsThis study provides SC and strategy practitioners with an understanding of strategy-performance pathways for achieving strategic objectives and executing risk mitigation initiatives to counter disruptions. It enables SC managers to comprehend SC practices and SCP leading to dynamic SC capabilities development. Operationalizing the proposed DIPS will help firms link SCP and SP, align operational SC practices with strategic sustainability and circularity objectives and meet sustainable development goals while benefiting social and environmental stakeholders.Originality/valueAssessing relationships and identifying a unified approach integrating SCP with SP have not been addressed earlier. This study's uniqueness is finding integrable features of SCP and SP and constructing a dynamic-integrated-performance-system to link these domains for achieving strategic competitiveness.

Investigating the relationship between supply chain maturity and performance: an emerging market study

PurposeThe current research aims to investigate the relationship between supply chain (SC) processes maturity and SC performance in the context of an emerging market (i.e. Morocco). Based on the SCOR model, the authors propose and test a thorough conceptual framework in which information systems moderates the relationship between SC processes maturity and performance. The effects of firm age and size are also taken into account.Design/methodology/approachBased on data collected from 175 top and middle managers using self-administered questionnaires, the authors empirically assessed the conceptual model using a partial least squares (PLS) estimation.FindingsThe study's findings demonstrate that SC processes maturity has a significant effect on SC performance. Second, information systems act as a moderator in the relationship between SC maturity and performance, e.g. the impact of supply chain processes maturity on supply chain performance measures is stronger in the presence of information systems support. Ultimately, firm size and age were found to have no significant impact on supply chain performance.Practical implicationsThe study's findings help SC managers to better understand how SC maturity contributes to SC performance. A firm effectively executing maturity factors in its SC processes is more likely to achieve a better SC performance. The authors also established the key role of information systems in strengthening the impact of SC maturity on performance. SC managers should capitalize on the use of information systems to achieve superior SC performance.Originality/valueThe present research bridges a gap pertaining to the impact of supply chain maturity on SC performance, particularly in emerging markets. It is the first of its kind to investigate the influence of SC maturity on SC performance the context of emerging markets.

EFFICIENCY ANALYSIS OF PALM KERNEL OIL AS A RAW MATERIAL IN IMPROVING SUPPLY CHAIN PERFORMANCE: CASE STUDY AT PT XYZ

This study aims to analyze the efficiency of raw materials supply and measure supply chain performance at PT XYZ. The method used to measure supply chain performance is SCOR. This research is limited to PKO raw material from suppliers and lauric acid products by PT XYZ. Results showed that the method of raw material procurement in PT XYZ was already efficient. The supply chain performance in PT XYZ was good yet only the POF matrix gives an unfavorable result compared to the brancmark from a similar company. Commonly in running operation of production, PT XYZ has several steps of supply chain that only involve suppliers, PT XYZ and direct to customer. The result showed from the measurement of matrix: level 1 is POF=88.36%, OFCT=44 days, and CTCCT=51 days. In level 2, PT XYZ conducted all activities in planning process (P1-P5), executing (S2, M1, M2, M3, D2, D3 and DR1) and enabling. On the mapping of level 2 obtained that the result of deliver process have the lowest performance and analysis in level 3 should be conducted to explain the deliver process in more detail.

Warehouse Operations in Bangladesh – Challenges and It’s Future Prospects

This study investigates the challenges and opportunities surrounding warehouse operations in Bangladesh, encompassing both the manufacturing and service sectors. This paper demonstrates above mentioned scenario in the context of supply chain management (SCM). Despite enduring a series of disruptions, including the pandemic and geopolitical tensions, notably the situation between Ukraine and Russia, the Bangladeshi economy has displayed remarkable resilience. In the fiscal year 2019-20, there was a significant decline in GDP growth, dropping from 7.88 percent in the pre-pandemic year to 3.45 percent. However, there was a notable resurgence in GDP growth, surging to 6.94 percent in FY 2020-21 and further rising to 7.10 percent in FY 2021-22. Unfortunately, the economic growth for FY 2022-23 has been impeded by the Russia-Ukraine crisis. The Gross Domestic Product (GDP) of an economy is a composite of contributions from three key sectors: agriculture, industry, and services. As the economic landscape evolves, the significance of the agriculture sector diminishes, while the industrial sector gains prominence. This research is developed based on primary and secondary data sources, encompassing online databases, journals, review papers, and more. The primary data collection includes a comprehensive survey questionnaire completed by 207 respondents from 24 industrial sectors in Bangladesh. The study addresses multiple challenges faced by warehouse operations and offers recommendations for best practices and a strategic way forward in the global arena for Bangladesh, where priorities such as achieving net-zero emissions, sustainability, and the adoption of lean warehouse operations are paramount. Furthermore, the study advocates for the implementation of the Integrated Supply Chain Performance Measurement (ISCPM) model, along with its ten attributes, as an integral component of adopting global best practices for practitioners, which would unlock further research to develop this sector.

Measuring Supply Chain Performance as SCOR v13.0-Based in Disruptive Technology Era: Scale Development and Validation

Background: Supply chain performance measurement is an integral part of supply chain management today, as it makes many critical contributions to supply chains, especially for companies and supply chains to identify potential problems and improvement fields, evaluate the efficiency of processes, and enhance the health and success of supply chains. The purpose of this study is to contribute to future research and practical applications by presenting a more standard, comprehensive, and up-to-date measurement scale developed based on the SCOR model version 13.0 performance measures in the disruptive technology era. Methods: The study was performed in seven stages and the sample size consists of 227 companies for pilot data and 452 companies for the main data. The stages comprise item generation and purification, exploratory factor analysis for the pilot study and main study, confirmatory factor analysis for the main study, convergent, discriminant, and nomological validity appraisal, and investigation of bias effect. Results: The scale was developed and validated as a five-factor and thirty-one item structure. Conclusions: Some key trends and indicators must be followed today to perceive the landscape of future supply chains. This measurement scale closely follows the future supply chains. Additionally, the findings have been confirmed by the contributions of disruptive technologies and the conceptual structure of supply chain management.

From concept to reality: leveraging green innovation and supply chain management for sustainable corporate performance.

The aim of this study is to examine the potential effects that Industry 4.0, often known as the Fourth Industrial Revolution, and its accompanying technology improvements may have on SCMP and SC performance. Industry 4.0 impacts both the methods and productivity of supply chain management. Therefore, this study conceptualizes and develops an operational framework backed by SEM to examine the impact of Industry 4.0 on S.C. performance. This study employs a structural equation model (SEM) to estimate variables in India between September 2021 and March 2022 owing to the many advantages of the SEM over other estimators. The research shows that by implementing Industry 4.0-enabled technologies, businesses can improve SCM performance significantly through a holistic strategy that emphasizes supply chain integration, information sharing, and transparency. First, the results indicate that the supply chain management practices influence the Industry 4.0 technologies adoption. Second, the results revealed that Industry 4.0 technologies significantly positively affect supply chain performance measures. Finally, Industry 4.0 technologies mediated the relations between supply chain management practices and supply chain performance measures. Moreover, these technologies allow for huge performance improvements within individual supply chain processes such as procurement, production, inventory management and retailing by enabling process integration, digitization and automation, and bringing about novel analytical capabilities.

The impact of supply chain management on a company's operation and decision based on the multidimensional data analysis of upstream and downstream industry market states.

This study provides data analysis support for the entire enterprise procurement management process, thereby improving the management effectiveness of supply chain operations. It analyzes upstream and downstream industry market status data in the supply chain and various primary data in enterprise management activities. By utilizing the Delphi method to screen and verify multimode market status data indicators, which significantly impact upstream and downstream industries in multiple rounds, 28 types of market status data were selected for analysis. This analysis aimed to investigate the effect of supply chain management on operational decisions within the company. The data reduction method based on adaptive statistics was the most effective in revealing the market status and promoting efficient operation decision-making based on supply chain management. This study also suggests a brand-new technique for measuring supply chain performance based on the Levenberg-Marquardt Back Propagation (LMBP) algorithm, offering a more impartial manner of doing so. The performance evaluation results showed a maximum error level of less than 0.4% when paired with empirical analysis. The proposed optimization model provides strategic guidance for optimizing supply chain management and improving overall performance.