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OPERATIONS RESEARCH FOR MANAGEMENT

CODE 60077
ACADEMIC YEAR 2021/2022
CREDITS
  • 9 cfu during the 2nd year of 8707 MANAGEMENT (LM-77) - GENOVA
  • 9 cfu during the nd year of 8707 MANAGEMENT (LM-77) - GENOVA
  • 6 cfu during the nd year of 8707 MANAGEMENT (LM-77) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR MAT/09
    LANGUAGE Italian
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 1° Semester
    TEACHING MATERIALS AULAWEB

    OVERVIEW

    The course aims at providing knowledge of some math programming techniques to solve strategic, tactical and operational problems arising in supply chain management. The definition of evaluation criteria for possible solutions, the development of mathematical models and heuristic methods for determining the optimal solution, Pareto solutions are the focus of the course.

     

    AIMS AND CONTENT

    LEARNING OUTCOMES

    The course aims at providing tools to face strategic, tactical and operational decisions in the Supply Chain Management; it will provide management techniques (decision theory, mathematical programming, scenario analysis). The consolidation of the proposed methodologies is supported by the development of case studies; models will be implemented and solved thanks to  spreadsheet Excel and optimization softwares.

    AIMS AND LEARNING OUTCOMES

    The course aims at providing tools to face strategic, tactical and operational decisions in the Supply Chain Management.

    The course will provide management techniques such as decision theory, math programming, scenario analysis. The consolidation of the proposed methodologies is supported by the development of case studies; models will be implemented and solved thanks to optimization software and spreadsheet Excel.

    At the end of the course students will be able to:

    • analyse a decision problem and understand the best way to face it

    • apply different criteria to evaluate the alternatives by using to Payoff Table

    • formulate a decision problem and implement a mathematical linear programming model (integer-binary)

    • solve some of the typical problems in the supply chain management (network design, production, distribution, inventory)

    • critically analyse the solutions obtained by assessing their correctness and feasibility

    • carry out scenario analyses and compare the alternatives

    PREREQUISITES

    Matrices and linear systems

    Functions of a real variable

     

    TEACHING METHODS

    Traditional lectures in Italian are integrated with lab lessons, seminars and individual/group works.

    Please note that,  if required by the health and epidemiological situation, lessons will be on line via the Teams platform. Updated information will be available on Aulaweb.

    SYLLABUS/CONTENT

    9 ECTS credits

    Analysis of some problems in the supply chain management: production, scheduling, transportation and distribution problems; network design problems; inventory management and forecasting. Project management: analysis of costs and times.

    Methods: Decision theory,  Linear, Integer and binary programming, multi-objective optimization, graph theory, what if analysis, CPM tecniques. Some software will be used for solving the analysed problems (i.e. LINDO, MPL, Excel)

    6 ECTS credits

    Analysis of some problems in the supply chain management: production, scheduling, transportation and distribution problems; network design problems.Project management: analysis of costs and times.

    Methods: Decision theory, Linear, Integer and binary programming, graph theory, what if analysis, heuristics. Some software will be used for solving the analysed problems (i.e. LINDO, MPL, Excel)

    RECOMMENDED READING/BIBLIOGRAPHY


    Hillier, Lieberman, Introduction to Operations Research, McGraw-Hill 2009.
    Clement, Robert T., Reilly, Terence. Making hard decisions with decisiontools suite, South Western Pub, 2013.
    Slides and papers on AULAWEB

    TEACHERS AND EXAM BOARD

    Exam Board

    DANIELA AMBROSINO (President)

    ANNA FRANCA SCIOMACHEN

    ELENA TANFANI

    LESSONS

    LESSONS START

    September 2021

     

    EXAMS

    EXAM DESCRIPTION

    Written examination and presentation of case studies.

    Please note that the written examination will be replaced by an oral one (via the Teams platform) if required by the health and epidemiological situation. Updated information will be available on Aulaweb.

    ASSESSMENT METHODS

    The knowledge on the topics covered in class will be assessed through the written examination

    The ability to apply knowledge and communication skills will be assessed through the projects work and thier presentation.
    The evaluation will concern:
    1) the work in the classroom
    2) the organization of the work for the information collection  
    3) compliance with deliveries
    4) project presentation (ppt: completeness/ logical sequence of the contents; oral presentation: language appropriateness)
     

    Exam schedule

    Date Time Location Type Notes
    10/01/2022 11:00 GENOVA Scritto + Orale
    24/01/2022 11:00 GENOVA Scritto + Orale
    07/02/2022 11:00 GENOVA Scritto + Orale
    09/06/2022 11:00 GENOVA Scritto + Orale
    30/06/2022 11:00 GENOVA Scritto + Orale
    21/07/2022 11:00 GENOVA Scritto + Orale
    09/09/2022 11:00 GENOVA Scritto + Orale