Digitalisation of Supply Chain management system for customer quality service improvement.

Shevtshenko, Eduard; Maas, Rene; Murumaa, Lea; Karaulova, Tatjanja; Raji, Ibrahim Oluwole; Popell, Janek

doi:10.36897/jme/147803

Cited by 4 publications

(8 citation statements)

References 30 publications

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“…To ensure efficient supply chain management, it is crucial to monitor, adjust and improve it from the perspective of customer order. SCOR model provides a standard supply chain effectiveness measurement process using uniform criteria (McCann, 2021;Shevtshenko et al, 2022).…”

Section: Scor Conceptmentioning

confidence: 99%

“…The target of current research work is to contribute to the customer satisfaction field and to analyse the customer view of services provided. To achieve the target authors further develop the Supply Chain digitalisation framework (Shevtshenko et al, 2022) by combining CDA (Customer Delivery Accuracy) and Customer Complaints business measures. To support this research the authors collected extensive data related to Customer Delivery Accuracy (CDA) and reclamations from the Estonian electronics industry.…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, maximum customer satisfaction should be accomplished. (Lebas, 1995;Shevtshenko et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…To achieve the goal of customer satisfaction, an efficient supply chain is needed, it could be done through the coordinating and controlling of the business processes. (Ayyildiz & Gumus, 2021;Shevtshenko et al, 2022). "As firms successfully streamline their operations, the next opportunity for improvement is better coordination with their suppliers and customers."…”

Section: Introductionmentioning

confidence: 99%

“…Proposed mechanisms for digitalisation of supply chain analyses find business process improvement areas. It is done based on customer reclamations and production defects (Shevtshenko et al, 2022;Shevtshenko et al, 2022). SCOR model processes are connected with KPIs on a different level.…”

Section: Introductionmentioning

confidence: 99%

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Development of SCOR Database for Digitalisation of Supply Chain Customer Feedback Analysis

Maas,

Karaulova,

Shevtshenko

et al. 2023

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High-level customer service, with improved quality at a lower cost, is imperative in today's global supply chain, where customers have myriad options across borders. This is in line with the primary objective of supply chain management, which is to enable and deliver high-level customer service with lower costs, reduce lead time, and improve the quality of products/services. The Supply Chain Operations Reference (SCOR) model based on KPI metrics enables an increase in the quality of products/services by monitoring and digitalising involved processes. The current paper suggests the structure of the SCOR database for Supply Chain process improvement by applying the best practices of the SCOR for Business Processes improvement. We recommend the Bayesian Belief Network (BBN) and Case-Based Reasoning (CBR) methods to estimate the influence of these improvements on Supply Chain efficiency through key performance indicators before implementation. Integrating the methods proposed in this article focuses on an approach that minimises supply chain failures, decreases failure elimination time, understands consumer needs, and offers more accurate price proposals and lead times to improve customer satisfaction. Accordingly, the integrated SCOR-based Business Process Modelling (BPM) was not previously combined with BBN to identify the most efficient ways to improve the reliability of a Supply Chain by applying best practices, which impacts the entire supply chain. Our research is limited to SME companies in electronics manufacturing, but our ambition is to develop a universal framework suitable for broader areas. The study aims to analyse how the customers see the company by combining the CDA (Customer Delivery Accuracy) and Customer Complaints measures and find the optimal way to improve business processes by applying best practices. Still, it is limited to SCOR reliability performance metrics.

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Section: Scor Conceptmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…At the same time, maximum customer satisfaction should be accomplished. (Lebas, 1995;Shevtshenko et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Development of SCOR Database for Digitalisation of Supply Chain Customer Feedback Analysis

Maas,

Karaulova,

Shevtshenko

et al. 2023

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AI generated route data pre - processing for faster decision making

Maas,

Shevtshenko,

Karaulova

2024

2024 8th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE)

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Investigating the Effect of Digital Transformation on the Energy Sector: Saudi Arabia’s Case

Osman,

Ellaythy,

Daghri

2023

Wseas Transactions on Business and Economics

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In many countries of the world the demand for energy and reliability of renewable energy has risen remarkably with the digital transformation of modern times. For instance, digital technologies such as the Internet of Things, adoption index, and big data analytics are applied to increase efficiency and productivity in the energy sector, along with identifying important interfaces and infrastructure necessary for the efficient and smart functioning of operators and operations, as well as curating an increase in the reliability of tasks and operations while optimizing costs. The purpose of this study is to explore how the integration of digital technologies in the energy sector in Saudi Arabia has led to increased productivity and sustainability on a larger scale. The study focuses on reducing operational costs and improving asset management through digital solutions for monitoring and maintenance. The study covers the period from 2015 to 2022. The findings of the study show that the digital adoption index positively affects GDP growth in the short term with error correction term, but not in the long term without error correction term. Furthermore, the findings indicate that there is no statistically significant relationship between independent variables and GDP growth according to estimates of the long-term results. The null hypothesis is accepted indicating no cointegration between independent variables and GDP growth based on F-statistics being less than I (0) at a 1% significance level. Finally, the trail to explore the nexus of digital technologies and the energy sector in Saudi Arabia is, so far, a new attempt in this area. This is an indication of the originality of this research paper.

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Digitalisation of Supply Chain management system for customer quality service improvement.

Cited by 4 publications

References 30 publications

Development of SCOR Database for Digitalisation of Supply Chain Customer Feedback Analysis

Development of SCOR Database for Digitalisation of Supply Chain Customer Feedback Analysis

AI generated route data pre - processing for faster decision making

Investigating the Effect of Digital Transformation on the Energy Sector: Saudi Arabia’s Case

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