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Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title Operations Analytics and Strategy
Module Code MT5218
School DCUBS
Module Co-ordinatorSemester 1: James Byrne
Semester 2: James Byrne
Autumn: James Byrne
Module TeachersJames Byrne
NFQ level 9 Credit Rating 15
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None

This module introduces students to Management Science and mathematical modelling in the context of operations, including familiarise students with decision making and problem solving using appropriate techniques and methods. Operations analytics focuses on transforming operational data into better decision making, predicting outcomes and choosing the best course of action in the face of risk. Operations Strategy focuses on evaluating the principles and practice of operations strategy development and management, and determine a set of approaches and frameworks required to formulate and execute an operations strategy.

Learning Outcomes

1. Determine which quantitative analysis technique is appropriate for solving a specific problem
2. Use the appropriate quantitative method in a technically correct way to solve a business problem
3. Analyze quantitative output and arrive at a conclusion
4. Identify situations where mathematical models can help managers make better decisions
5. Describe and interpret a mathematical model, clarifying the underlying assumptions and the model’s limitations
6. Evaluate the application of a mathematical model, checking its correctness and its adequacy for the decision making problem to tackle
7. Evaluate and describe the interconnected nature of operations management and operations strategy
8. Critically show how successful companies have designed and implemented operation strategies
9. Discuss how the individual components of an organisational system can contribute to the overall success of the organisation

Workload Full-time hours per semester
Type Hours Description
Directed learning40No Description
Independent Study200No Description
Online activity25No Description
Tutorial10No Description
Assignment Completion100No Description
Total Workload: 375

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Introduction to Management Science for Operations

Linear Programming Concepts

Linear Programming Formulation and Applications

Modelling with Spreadsheets

What-if Analysis

Decision Analysis

Business process modelling

Operational design and modelling

Operations strategy and its relationship with both business strategy and operations management

Operational/Process Modelling - Process Improvement

The evolutionary role of operations and its future trends

Assessment Breakdown
Continuous Assessment100% Examination Weight0%
Course Work Breakdown
TypeDescription% of totalAssessment Date
ParticipationOnline discussions for Management Science sub module7%n/a
ProjectIndividual project on a key topic for Management Science26%n/a
ParticipationDiscussion forum for Business Process Analytics7%n/a
ProjectProject on a key topic for Business Process Analytics26%n/a
ParticipationOnline discussion forum exercise for Operations Strategy7%n/a
Report(s)Investigate and report on a key topic for Operations Strategy27%n/a
Reassessment Requirement Type
Resit arrangements are explained by the following categories;
1 = A resit is available for all components of the module
2 = No resit is available for 100% continuous assessment module
3 = No resit is available for the continuous assessment component
This module is category 1
Indicative Reading List

  • Slack, Nigel and Lewis, Mike: 2020, Operations Strategy, 6, Pearson, 9781292317854
  • Frederick S. Hillier,Mark S. Hillier: 2019, Introduction to Management Science, 6, McGraw Hill, 1259918920
Other Resources

Programme or List of Programmes
MOPSAMSc in Management of Operations

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