Logistics Modelling and Optimisation
INDE2001

Year 3, Sem 2 Core Enabling Knowledge and Skills Technical Competence Integrated Engagement with Professional Practice

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Code INDE2001
Credits 25
Graduate Attributes

Introduction

The aim of this unit is to provide the skills necessary for optimal decision making in relation to warehouse design and operation. Basic concepts of warehouse models and processes are covered. Decisions concerning design, tactical and operational aspects of warehousing are discussed and their flow-on effects are studied. Design decisions involve layout issues as well as storage and retrieval transport mechanisms. Tactical decisions are concerned with storage and retrieval planning as well as online assembly. Systems for total quality management to handle material flow are examined and the interface between logistics and manufacturing is analysed. The problem of optimal facility location is investigated and several core facility location models are evaluated. Where applicable, the unit considers the use of heuristic algorithms to obtain optimal solutions. Case studies are used to highlight and expand the understanding and application of the topics discussed in the unit.
Lecture 1 x 2 Hours Weekly 
Tutorial 1 x 1 Hours Weekly 
Workshop 1 x 1 Hours Weekly 

Unit Learning Outcomes

  • 1 apply basic concepts of material flow management and total quality management systems, GC1, GC2, GC3, GC6
  • 2 apply key concepts of warehousing models and processes such as costs, materials handling equipment and structure/operations, GC1, GC2, GC3, GC6
  • 3 analyse, model and optimise basic facility location systems and formulate feasible solutions for location model network topologies and heuristic algorithms, GC1, GC2, GC3, GC6
  • 4 evaluate warehousing models and formulate optimal solutions to warehousing logistics problems based on design, tactical and operational decisions, GC1, GC2, GC3, GC6
  • 5 apply and adapt models to industrial situation, GC1, GC2, GC3, GC4, GC6

Course Learning Outcomes

  • 2 Solve complex Industrial and Systems engineering problems of industrial and societal significance through the application of discipline-specific and integrated bodies of knowledge, design and sustainability principles
  • 5 Select and use current and emerging technologies to develop and communicate effective and innovative engineering solutions to complex problems

Assessment Breakdown

Recent Unit Changes & Response to Student Feedback

Students are encouraged to provide feedback through student surveys (such as Insight and the annual Student Experience Survey) and interactions with teaching staff.

Listed below are some recent changes to the unit as a result of student feedback.

Students are encouraged to provide feedback through student surveys (such as Insight and the annual Student Experience Survey) and interactions with teaching staff. There have been no recent changes to the unit as a result of student feedback