Browsing by Subject "Supply chain"

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    ItemOpen Access
    Advances in business analytics at HP laboratories
    (Springer, Boston, 2010) Beyer, D.; Clearwater, S.; Chen, K. Y.; Feng, Q.; Huberman, B. A.; Jain, S.; Jamal, Z.; Şen, Alper; Tang, H. K.; Tarjan, B.; Ward, J.; Zhang, A.; Zhang, B.; Sodhi, M. S.; Tang, C. S.
    HP Labs’ Business Optimization Lab is a group of researchers focused on developing innovations in business analytics that deliver value to HP. This chapter describes several activities of the Business Optimization Lab, including work in product portfolio management, prediction markets, modeling of rare events in marketing, and supply chain network design.
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    ItemOpen Access
    Arçelik yurt içi tedarik zinciri için araç sevkiyat ve rotalama sistemi
    (Makina Mühendisleri Odası, 2009) Tansel, Barbaros; Daşyürek, Fatma; Eren, Semih; Kaya, Özge; Sezgin, Gökhan; Şahinoğlu, Ebru
    Bu çalışmada tedarikçilerden gelen malzemelerin Arçelik Bulaşık Makinesi İşletmesi’ne taşınması için kullanılacak rotaların ve taşıyıcıların hareket çizelgelerinin optimal veya optimale yakın bulunması amacıyla bir karar destek sistemi oluşturulmuştur. Sistem matematiksel model, benzetim modeli ve arayüz olmak üzere üç ana öğeden oluşmaktadır. Tedarikçi kümesinde veya tedarikçi taleplerinde olabilecek olası küçük değişimlere karşı önerilen çözümler benzetim modeli yoluyla hızlı bir şekilde değerlendirilebilmekte, büyük değişimler olduğunda ise matematik model yeniden çözülerek yeni optimal çözüm elde edilmektedir. Arayüz programı, her iki modelin teknik bilgilere sahip olunmasa bile daha kolay kullanılmasını sağlamaktadır.
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    ItemOpen Access
    Optimizing process-improvement efforts for supply chain operations under disruptions: new structural results
    (Multidisciplinary Digital Publishing Institute (MDPI), 2023-08-31) Berk, Emre; Ayas, Onurcan; Ülkü, M. A.
    Rampant disruptions have probed the fragility of supply chains: Renewed perspectives and comprehensive operational models are needed to enhance resiliency and sustainability in business. This paper proposes a new inventory management model that explicitly integrates process improvement efforts to improve supply chain sustainability through the better use of capital (materials, assets, and technology) and labor (workforce and know-how). Under a desired service-level constraint, we study reducing setup (fixed) costs when they are expressed in terms of economic production functions of two (input) decision variables: the level of capital (e.g., process change, and technology investments) and the level of labor required. This research is motivated by lean manufacturing practices, which rely on shaping the operating environment and operating optimally within that business environment. Based on mathematical modeling and analysis, we provide closed-form optimality expressions and structural results that lend themselves to decision insights. In particular, we provide, along with illustrative numerical examples, results on the sensitivity of setup-reduction efforts to demand rates, variability, and explicit expressions for determining the required labor and capital resources. A generalization of the model for carbon emissions is also presented.