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Journals / Tekstil ve Konfeksiyon / 2019 / Cilt: 29 - Sayı: 2

DETERMINING ORDER DELIVERY DATE BY REVENUE APPROACH: A CASE STUDY WITH NONWOVEN TEXTILE MANUFACTURERS IN TRC1 REGION

Cemal AKTÜRK
Sevinç GÜLSEÇEN
Pages
133–141
Publication Date
2019-06-30
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The present decision support system as a product that can be used by decision makers gives a different point of view to delivery date and order ranking literature which is generally composed of theoretical studies.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Nonwoven textile materials are used as intermediate raw materials in various sectors such as cleaning, healthcare and automotive.
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Key Findings & Data:In this software application developed, orders are sorted in 7 different ways based on Moora and linear function.
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Conclusion & Impact:The present decision support system as a product that can be used by decision makers gives a different point of view to delivery date and order ranking literature which is generally composed of theoretical studies.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Nonwoven Textile · Order Ranking · Decision Support System

Abstract

Nonwoven textile materials are used as intermediate raw materials in various sectors such as cleaning, healthcare and automotive. These products are produced according to the demand because they are requested in different compositions, colors and weights. It is necessary to use the capacity efficiently in the nonwoven textile technology which has high investment costs and high production capacity in order to attain company objectives. In this study, a decision support system for nonwoven textile firms was developed so that they obtain more order revenue fromcustomer orders. In this software application developed, orders are sorted in 7 different ways based on Moora and linear function. The total order revenues to be obtained from each ranking and the delivery dates of sorted jobsare calculated and presented to the user for decision support purposes. In addition, this software can also record the operator's planned maintenance data. In the present study, the decision support system was run with 27 different production scenarios. In the running scenarios, Moora and linear function methods have introduced more total order revenues than FCFS and EDD methods. The present decision support system as a product that can be used by decision makers gives a different point of view to delivery date and order ranking literature which is generally composed of theoretical studies.

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Cite This Article

AKTÜRK, C., GÜLSEÇEN, S. (2019). DETERMINING ORDER DELIVERY DATE BY REVENUE APPROACH: A CASE STUDY WITH NONWOVEN TEXTILE MANUFACTURERS IN TRC1 REGION. Tekstil ve Konfeksiyon, Cilt: 29 - Sayı: 2, 133–141. https://ajindex.com/articles/45982

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