SAP SİSTEMİNDE KARLILIK TABANLI AĞ OPTİMİZASYONU: ÇİMENTO SEKTÖRÜNDE BİR DURUM ÇALIŞMASI

Year 2021, Volume: 7 Issue: 2, 30 - 40, 29.12.2021

Eren Esgin Volkan Özay Görkem Özkan

Abstract

Bu makalede satış, nakliye ve üretim planlama verileri ve olası kısıtlar açısından karlılığı maksimize eden talep noktası:üretim yeri cinsinden optimum ürün ikmal tayinlerini bulmak için bir Ağ Optimizasyonu çözümü önerilmiştir. Durum çalışmasında belirtildiği gibi, Ağ Optimizasyonu çözümü katkı marjını ortalama %2.35 oranında artırarak görece yüksek yatırım getirisi sağlamıştır. Önerilen çözüm SAP, optimizasyon mantığı ve Microsoft Power BI bileşenlerini kapsayan geniş bir çözüm mimarisinde yalın bir optimizasyon deneyimi sunar. Ayrıca, işletmeler bu çözüm yardımıyla manuel, zaman alıcı ve hataya açık veri hazırlama operasyonları yerine varyans analizi ve varsayımsal senaryo değerlendirmesi gibi katma değerli işlere odaklanabileceklerdir.

Keywords

İş Planlaması, Tamsayılı Programlama, Karlılık Tabanlı Ağ Optimizasyonu, SAP, Varyans Analizi, Varsayımsal Senaryo Değerlendirmesi

Thanks

Bu makale Ekim 2021 döneminde Marmara Üniversitesi'nde düzenlenen IMISC'21 (International Management Information Systems) konferansında sunulmuştur.

PROFITABILITY BASED NETWORK OPTIMIZATION AT SAP SYSTEM: A CASE STUDY IN CEMENT INDUSTRY

Abstract

In this paper, a Network Optimization solution is proposed to find the optimal demand point:plant assignments at product replenishment that maximize the profitability with respect to sales, transportation and production planning data and potential constraints. As stated in the case study, Network Optimization solution has increased contribution margin by an average value of 2.35% that resulted in relatively high return-on-investment. Proposed solution ensures a lean optimization experience over a wide solution architecture that covers SAP, optimization logic and Microsoft Power BI components. Additionally, organizations will concentrate on more value adding operations such as variance analysis and what-if scenario evaluation rather than manual, time consuming and error-prone data preparation by the help of this solution.

Keywords

Business Planning, Integer Programming, Profitability Based Network Optimization, SAP, Variance Analysis, What-if Scenario Evaluation

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