Assistenzsystem zur Entscheidungsunterstützung in der Supply Chain

Pause, Daniel; Fischer, Markus; Linnartz, Maria

doi:10.3139/104.112135

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…A detailed description of the results of the first modules can be found in [14] and thus will only be summarized shortly. The identification of relevant decision is based on planning, sourcing and delivering processes described in the SCOR model [15].…”

Section: Fig 2 Concept For Decision Support At Supply Chain Levelmentioning

confidence: 99%

Software-Based Assistance System for Decision Support on Supply Chain Level

Linnartz

Stich

2020

IFIP Advances in Information and Communication Technology

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In recent years, the complexity of the management of supply chains has increased significantly due to the growing individualization of products and dynamics of the market environment. To remain competitive, ensuring efficient and flexible processes and procedures along the entire supply chain are of particular importance for companies. Especially in the inter-company context, decisions must be made as quickly and correctly as possible. To enable good decision-making processes data must be processed and provided in a targeted manner. Currently, however, the necessary transparency is often lacking within the supply chains. In this article, a software-based assistance system for decision support on supply chain level is presented that aims to increase the transparency and efficiency of the decision-making process. A concept for decision support on supply chain level is presented. This paper focuses on the conceptual linkage of relevant decisions and data. Therefore, indicators are identified and linked with the relevant decisions. Moreover, a suitable way of visualizing the identified indicators for each decision in a user-friendly manner is defined. These results are then used to implement the software tool.

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Section: Fig 2 Concept For Decision Support At Supply Chain Levelmentioning

confidence: 99%

Software-Based Assistance System for Decision Support on Supply Chain Level

Linnartz

Stich

2020

IFIP Advances in Information and Communication Technology

Self Cite

View full text Add to dashboard Cite

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Adapted Process Model for Manufacturing Within Production Networks

Reimche

Berghof

Bergmann

2020

Lecture Notes in Production Engineering

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Digital transformation and its role in FMCG supply chain resilience

Tazvivinga,

Samuels

2024

IJBES

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The main aim was to determine how the supply chains of the FMCG industry may enhance their resilience through the adoption of digital technologies. Additionally, enhancing visibility and transparency through the augmentation of operational efficiency to elevate overall performance. This analysis utilised the Uncertainty Framework theory, which provides a systematic approach for identifying, categorising, and managing uncertainties within the supply chain. Organisations can formulate strategies to effectively manage and mitigate risks by understanding the many dimensions of uncertainty within the supply chain and their interrelations. The research utilised a qualitative methodology, gathering data via semi-structured interviews with 25 supply chain specialists and senior executives possessing extensive experience in the FMCG sector. The study's findings indicate that digital transformation enhances agility, transparency, and data-driven decision-making, which is crucial for bolstering the resilience of the FMCG supply chain. Six themes emerged from the findings: data-driven decision-making, supply chain visibility and transparency, automation and robots, collaborative platforms and ecosystems, predictive analytics and forecasting, and traceability and sustainability. The research will enhance our understanding of the implementation of digital transformation initiatives throughout FMCG supply chains. This involves analysing the application of digital technologies in supply chain operations. The study may ascertain the impact of these technologies on various resilience criteria, including flexibility, agility, visibility, and responsiveness, by analysing the role of digital transformation in FMCG supply chains. The research findings can assist supply chain managers in making educated decisions on investments and strategic planning for digital transformation initiatives.Research on digital transformation in the FMCG sector is limited, particularly on these unprecedented upheavals. Moreover, there is little study connecting digital transformation with sustainability and resilience in FMCG supply chains, which is essential for comprehending how these projects might collaboratively enhance robust supply systems.

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Assistenzsystem zur Entscheidungsunterstützung in der Supply Chain

Cited by 3 publications

References 5 publications

Software-Based Assistance System for Decision Support on Supply Chain Level

Software-Based Assistance System for Decision Support on Supply Chain Level

Adapted Process Model for Manufacturing Within Production Networks

Digital transformation and its role in FMCG supply chain resilience

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