Developing a Decision Support System for Supply Chain Component

• Autorzy: Andry Johanes Fernandes , Nurprihatin Filscha , Liliana Lydia

Identyfikatory

DOI

10.24425/mper.2023.146029

• Języki publikacji: EN

Abstrakty

EN

Increased competition has led businesses to compete with each other in streamlining supply chain processes, especially in the manufacturing sector. Supply Chain Management (SCM) determines the success of industrial business processes because it regulates product flow regarding integration, performance, and information. However, several problems have emerged in the supply chain process, such as a lack of coordination in the production queue, difficulties in forecasting trending products, and suboptimal production capacity. To address these issues, the role of information technology is crucial for implementing a Decision Support System (DSS). This study aims to develop a DSS to improve the supply chain processes. The research method used is Extreme Programming (XP) with a qualitative approach through a questionnaire. The research process involves collecting data, defining boundaries and problems, and designing, coding, and testing the system. As a final step, evaluation is carried out by distributing surveys to obtain valid satisfaction results. This research produces a DSS that has applicability in marketing, accounting, and production processes. The application of DSS in the furniture manufacturing industry can help manage the movement of resources, optimize strategic networks, and assist decision-making in the supply chain process.

Słowa kluczowe

EN

decision support system; extreme programming; furniture manufacture industry; supply chain

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2023
• Tom: Vol. 14, No. 2
• Strony: 124--133
• Opis fizyczny: Bibliogr. 29 poz., rys., tab.

Twórcy

autor

Andry Johanes Fernandes

• Department of Information Systems, Universitas Bunda Mulia, Indonesia

autor

Nurprihatin Filscha

• Department of Industrial Engineering, Sampoerna University, Indonesia

autor

Liliana Lydia

• Department of Information Systems, Universitas Bunda Mulia, Indonesia

Bibliografia

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