Logistics Masters Level Analytical Case Study

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    Kate A and Vitasek V 2003 Supply Chain Visions terms and glossary Washington

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    Chapurlat V, Larnac M, Lamine E and Magnier J 1999 Definition of a formal analysis framework for existing enterprise modelling approaches Proc. of the Annual Conf of ICIMS-NOE(Louvain Belgium,)

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    Trilling L 2004 Investigation et comparaison des méthodes et outils d'analyses pour l’étude des systèmes hospitaliers HRP Report

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    Pidd M 1999 Just modelling through: a rough guide to modelling Interfaces

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    Min H and Zhou G 2002 Computers & Industrial Engineering Supply chain modelling: past, present and future43 231-249

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    Kaddoussi A 2012 Optimisation des flux logistiques: vers une gestion avancée de la situation de crise (France: Ecole Centrale de Lille)

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    Lee Y H Kim S H 2002 Production distribution planning in supply chain considering capacity constraints Computers and Industrial Engineering43 169-190


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    Selim H, Am C and Ozkarahan I 2008 Transportation Research Part E-Logistics and Transportation Review Collaborative production distribution planning in supply chain: a fuzzy goal programming approach44 396-419

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    Safra I 2011 Planification séquentielle tactique-opérationnelle d'une chaîne logistique textile Proc. of the industrial engineering Conf France

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    Arabi M 2011 Integration de la simulation et de l'optimisation pour la planification tactique foret-usine Proc. of the industrial engineering Conf. France

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    Lemoine D 2008 Modèles génériques et méthodes de resolution pour la planification tactique mono-site et multi-site Phd report (Université Blaise Pascal-Clermont-Ferrand II)

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    Arntzen B C, Brown G G, Harrison T P and Trafton L 1995 Global supply chain management at digital equipment corporation Interfaces25 69-93


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    Ozdamar L and Yazgac T 1999 A hierarchical planning approach for a production distribution system Inter. Journal of Production Research37 3759-3772


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    Jayaraman V Pirkul H 2001 Planning and coordination of production and distribution facilities for multiple commodities European journal of operational research133 394408

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    Matta R D and Miller T 2004 Production and interfacility transportation scheduling for a process industry European journal of operational research158 290-300


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  • To survive and excel in today’s economy, companies need to focus on spending their marketing and advertising dollars more effectively – by validating the return on investment (ROI) of these investments. Digital marketing has proven to be a necessary channel and one of the most effective ways to showcasing brand, reaching customers and building loyalty. The effectiveness of digital marketing needs to be accompanied by good digital analytics, which through data acquisition, exploration, testing, deduction and application, produces insights to drive continuous improvements of the digital marketing programs and to maximize returns.

    This course teaches digital analytics with a focus on web analytics through practical applications. It provides a broad over view of key digital analytics framework, strategies, concepts, issues, challenges and tools. Topics covered include: how to choose a web analytics tool; metrics and key performance indicators; best ways to analyze effectiveness of blogs, marketing campaigns, SEO, SEM, emails; how to utilize quantitative, qualitative and competitive tools to derive actionable insights; how to optimize web sites by incorporate testing and experimentation; how to create and manage an analytics culture for your organization; emerging analytics in social, mobile and video; best practices and pitfalls in web analytics; best practices on creating a data- driven culture and process.

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