Literature Review Penggunaan Supply Chain Operations Reference (SCOR) Untuk Pengukuran Kinerja Supply Chain Management

As a widely known model for managing supply chain management, the use of the SCOR model in research has been widely published. Although a lot of literature has been published, there is no literature that discusses in detail the extent of the implementation of the SCOR model in the type of industry, the level of effectiveness, modification or combination of methods, as well as weaknesses and strengths. Based on this, this paper aims to identify the implementation of the SCOR model into four mapping aspects. The mapping was done using a Systematic Literature Review (SLR) approach. The review was conducted on 28 journals that implemented the SCOR model. The results reveal that the implementation of the SCOR model has been carried out in various types of industries, the level of effectiveness, especially SCOR performance has not been fully utilized, as many as 25 methods have been combined with the SCOR model, the advantages of the SCOR model have a tendency to function to determine business conditions/processes, improve (improvement), adapting, and comparing (benchmarking), 11 deficiencies were found in the SCOR model. The research results are used to provide input for further research

INTEGRATION OF SCOR AND FUZZY AHP FOR LOCATION SELECTION OF EDIBLE WHITE COPRA AGRO-INDUSTRY

The selection of agro-industry location is essential in establishing, growing, and relocating agro-industrial systems for all forms of product development. In this regard, white copra has displayed a great economic potential due to export demand. To response this challenge, Indragiri Hilir Regency in Riau Province might become the most promising area since the location is lack of agroindustrial activity. Such condition leads to a excessive supply of coconut, which is in turn, causing the low price. This work aimed determine the best location for developing agroindustry for edible white copra based on multiple criteria. According to the findings, this research successfully created a new integration SCOR with Fuzzy AHP based on a multiple-criteria approach. At the first and second level, each option has equal rate of importance for each attribute and metric, while at the third level, corresponding to the highest importance, is the adaptability for increased shipping, procurement cost, days for coconut inventory, days for edible white copra stock. The fourth level, also corresponding to the highest importance, includes standard conformity, transportation facility, and the percentage of orders with the correct content. Based on the analysis, the locations showing the highest to the lowest importance were Tembilahan Hulu (0.194), Tempuling (0.152), Batang Tuaka (0.160), Kempas (0.118), Kuala Indragiri (0.100), Tembilahan (0.100), Teluk Belengkong (0.087), Pelangiran (0.080), and Enok (0.072). This research is expected to increase the development of edible white copra agroindustry in the Regency of Indragiri Hilir. Keywords: integration, SCOR, FUZZY AHP, multicriteria, edible white copr

Improving supply chain performance in the South African healthcare service : a literature based perspective

Abstract: Supply chain performance management plays an imperative role in keeping healthcare organizations sustainable and competitive by handling the storage and efficient distribution of resources in the value chain. Managing the complexity of healthcare demands and the application of improved technologies requires best practice supply chain models. The South African healthcare industry experiences unsatisfactory capacity limitations where there are extreme deficiencies of beds, equipment, facilities and trained healthcare professionals. This study highlights supply chain management strategies that can enhance efficient healthcare accessibility and delivery in South Africa using literature data. The results show that advanced healthcare delivery approaches such as ambulance divert and predictive analytics stand a good chance of improving supply chain management in the country

Quantitative supply chain segmentation model for dynamic alignment

[EN] Companies deal with different customer groups, requirements differ among them, which makes it important to define the service level precisely and improve customer service through different supply chain strategies for each group. An alternative to deal with imprecision related to the segmentation processes suggested by either the Leagile or the Dynamic Alignment Schools is the application of fuzzy set theory. The objective of this work is to develop a quantitative model that uses the fuzzy set theory and, based on sales data, assess the company s supply chain(s). The model's aim is to facilitate managers' decision-making processes to achieve the dynamic alignment. It was possible to identify the supply chains that serve the client groups evaluated, providing answers faster than the analysis proposed by the models found in the literature. The application in two real situations validated the model since the results obtained were consistent with the reality pointed out by the experts of the companies assessed. The model indicates possible actions for the realignment of the supply chain by their managers. Results obtained should improve practice, preparing managers to cope with the organizations` multiple supply chains. This study is the first one that aims to segment quantitatively supply chains on a company applying fuzzy set theory, providing a novel approach to align operations and supply chain strategy dynamically.Alves Ferreira, R.; A. S. Santos, L.; Espôsto, KF. (2022). Quantitative supply chain segmentation model for dynamic alignment. International Journal of Production Management and Engineering. 10(2):99-113. https://doi.org/10.4995/ijpme.2022.16494OJS9911310

Combination of SCOR-BSC and Regression Linear Programming to Assess the Performance of Construction SMEs in DIY and Central Java

Several metrics in the supply chain performance assessment system cannot be uncovered by merely putting a strategy into action. Meanwhile, the balanced scorecard strategy necessitates the incorporation of numerous measures derived from the implementation of strategies, ultimately guiding the business toward its long-term orientation. The same is true for evaluating the effectiveness of a supply chain. The Business Service Chain (BSC) takes three viewpoints of the Supply Chain Operations Reference (SCOR) and expands them into four: financial, customer, internal business, and innovation and learning. Both the SCOR and BSC methods can be utilized to implement a sustainable supply chain management system. These two methods were employed to solve supply chain issues in the construction industry. BSC aimed to compensate for SCOR’s limited focus on performance by considering two angles—those of internal business operations and customers. When compared to SCOR, BSC’s uniformity in the supply chain allowed for more adaptable metrics when resizing; more applicable models, encompassing all processes; and easier performance monitoring; all through the utilization of various metrics

Combination of SCOR-BSC and Regression Linear Programming to Assess the Performance of Construction SMEs in DIY and Central Java

Several metrics in the supply chain performance assessment system cannot be uncovered by merely putting a strategy into action. Meanwhile, the balanced scorecard strategy necessitates the incorporation of numerous measures derived from the implementation of strategies, ultimately guiding the business toward its long-term orientation. The same is true for evaluating the effectiveness of a supply chain. The Business Service Chain (BSC) takes three viewpoints of the Supply Chain Operations Reference (SCOR) and expands them into four: financial, customer, internal business, and innovation and learning. Both the SCOR and BSC methods can be utilized to implement a sustainable supply chain management system. These two methods were employed to solve supply chain issues in the construction industry. BSC aimed to compensate for SCOR’s limited focus on performance by considering two angles—those of internal business operations and customers. When compared to SCOR, BSC’s uniformity in the supply chain allowed for more adaptable metrics when resizing; more applicable models, encompassing all processes; and easier performance monitoring; all through the utilization of various metrics

Adaptations in SCOR Based Performance Metrics of Airline Catering Supply Chain during COVID-19 Pandemic

This is an open access article distributed under the Creative Commons Attribution-Non Commercial License, to view a copy of the license, see: https://creativecommons.org/licenses/by-nc/4.0/.Purpose: There is the propensity of airline catering supply chains to adapt their performance measures in order to meet desired service level due to the challenges of the COVID-19 pandemic. The aim of this paper is to develop a set of metrics for airline catering organisations and explore the choices of SCOR based performance metrics during the COVID-19 pandemic. Design/methodology/approach: Case study approach involving an airline catering supply chain organisation is adopted in this research. The SCOR framework is applied in the context of the case study supply chain to develop a performance metrics model for the chain. The performance metrics model is analysed and validated by a set of experts in the case study organisation. The experts are formed into a focus group. The performance metrics were prioritised using MoSCoW method based on the experience of the focus group participants on COVID-19 challenges. Findings: A hierarchical performance measure framework is proposed, and a set of 55 metrics from the SCOR framework is identified and validated for airline catering supply chains. MoSCoW based prioritisation of the metrics by the focus group participants results in 7 Level-1 SCOR metrics and 13Levels 2 & 3 SCOR metrics been considered as necessary to better mitigate COVID-19 pandemic challenges. Research limitations/implications: This research is based on a single case study and a small number of participants, which limits the generalisability of the results. Practical implications: With the development of performance metrics and the prioritisation presented in this paper, airline catering organisations can monitor their catering logistics performance and use techniques such as MoSCoW to decide performance measures priorities in situations such as theCOVID-19 pandemic. Originality/value: The work contributes to measuring performance in the airline catering supply chain and the need for considering adapting performance metrics using techniques such as MoSCoW, during challenging periods as in the COVID-19 pandemic.Peer reviewedFinal Published versio

A review on financial and non-financial measures of supply chain performance

[EN] This study ascertains the pertinent measures and metrics of supply chain performance through an extensive literature review. A total of 53 international peer-reviewed journal articles published between 2012-2021 were retrieved from Scopus, Emerald insight, Elsevier and Springer databases for review. The articles reviewed were selected and categorised based on the approach, scope and contribution in assessing and ascertaining the measures and metrics of supply chain performance. Limited to the review of literature, this study provides a benchmark and approaches for ascertaining the level of supply chain performance from financial and nonfinancial perspectives. Throughout the review, the study found inventory turnover ratio, supply chain and logistics costs and cash flows reflected in terms of ROI, ROE, ROA, profit margin, working capital and assets as the prime financial measures of supply chain performance. Moreover, the study found customer satisfaction, delivery performance, quality services, enhanced relationships and competitive advantages as the key non-financial measures of supply chain performance. The study concludes and recommends the financial and non-financial measures as the appropriate approaches for ascertaining the level of supply chain performance. In order to appropriately ascertain the level of supply chain performance, performance measurement should be accounted for by all actors at each node of the supply chain, using the same approach, measures and metrics. Additionally, further studies are required to address the benefits and issues that impede supply chain performance and measurements across different sectors of the economy.Israel, B.; Mahuwi, L.; Mwenda, B. (2023). A review on financial and non-financial measures of supply chain performance. International Journal of Production Management and Engineering. 11(1):17-29. https://doi.org/10.4995/ijpme.2023.18797172911

A knowledge base system for overall supply chain performance evaluation : a multi-criteria decision-making approach

Due to the advancement of technology that allows organizations to collect, store, organize and use data information system for efficient decision making (DM), a new horizon of supply chain performance evaluation starts. Today, DM is shifting from “information-driven” to “data-driven” for more precision in overall supply chain performance evaluation. Based on the real-time information, fast decisions are important in order to deliver product more rapidly. Performance evaluation is critical to the success of the supply chain (SC). In managing SC, there are many decisions to be taken at each level of multi-criteria decision making (MCDM) (short-term or long-term) because of many decisions and decision criteria (attributes) that have an impact on overall supply chain performance. Therefore it is essential for decision makers to know the relationship between decisions and decision criteria on overall SC performance. However, existing supply chain performance models (SCPM) are not adequate in establishing a link between decisions and decisions criteria on overall SC performance. Most of the decisions and decision attributes in SC are conflicting in nature and performance measure of different criteria (attributes) at different levels of decisions (long-term and short-term) is different and makes it more intricate for SC performance evaluation. SC performance heavily depends on how well you design your SC. In other words, it is quite difficult to improve overall SC performance if decisions criteria (attributes) are not embedded or considered at the phase of SC design. The connection between the SC design and supply chain management (SCM) is essential for effective SC. Many companies such as Wal-Mart, Dell, etc. are successful companies and they achieve their success because of their effective SC design and management of SC activities. The purpose of this thesis is in two folds: First is to develop an integrated knowledge base system (KBS) based on Fuzzy-AHP that establish a relationship between decisions and decisions criteria (attributes) and evaluate overall SC performance. The proposed KBS assists organizations and decision-makers in evaluating their overall SC performance and helps in identifying under-performed SC function and its associated criteria. In the end, the proposed system has been implemented in a case company, and we developed a SC performance monitoring dashboard of a case company for top managers and operational managers. Second to develop decisions models that will help us in calibrating decisions and improving overall SC performance