INDE2001 (v.1) Logistics Modelling and Optimisation
| Area: | Department of Mathematics and Statistics |
|---|---|
| Credits: | 25.0 |
| Contact Hours: | 4.0 |
| TUITION PATTERNS: | The tuition pattern provides details of the types of classes and their duration. This is to be used as a guide only. Precise information is included in the unit outline. |
| Lecture: | 1 x 2 Hours Weekly |
| Tutorial: | 1 x 1 Hours Weekly |
| Workshop: | 1 x 1 Hours Weekly |
| Equivalent(s): |
310297 (v.2)
Logistics Modelling and Optimisation 202
|
| Prerequisite(s): |
310296 (v.2)
Supply Chain Modelling and Optimisation 201
or any previous version
OR INDE2000 (v.1) Supply Chain Modelling and Optimisation or any previous version OR 310317 (v.2) Supply Chain Modelling and Optimisation 501 or any previous version OR INDE5000 (v.1) Supply Chain Modelling and Optimisation or any previous version |
| UNIT REFERENCES, TEXTS, OUTCOMES AND ASSESSMENT DETAILS: | The most up-to-date information about unit references, texts and outcomes, will be provided in the unit outline. |
| Syllabus: | 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 involve allocation and products to space. Operational 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. |
| Field of Education: | 030703 Industrial Engineering |
| Result Type: | Grade/Mark |
Availability
| Year | Location | Period | Internal | Partially Online Internal | Area External | Central External | Fully Online |
|---|---|---|---|---|---|---|---|
| 2015 | Bentley Campus | Semester 2 | Y |
Area External refers to external course/units run by the School or Department or offered by research.
Central External refers to external and online course/units run through the Curtin Bentley-based Distance Education Area
Partially Online Internal refers to some (a portion of) learning provided by interacting with or downloading pre-packaged material from the Internet but with regular and ongoing participation with a face-to-face component retained. Excludes partially online internal course/units run through the Curtin Bentley-based Distance Education Area which remain Central External
Fully Online refers to the main (larger portion of) mode of learning provided via Internet interaction (including the downloading of pre-packaged material on the Internet). Excludes online course/units run through the Curtin Bentley-based Distance Education Area which remain Central External
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