21,69 €
Case Study: Optimizing Shipment Options
Case Study: Optimizing Shipment Options
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Case Study: Optimizing Shipment Options
Case Study: Optimizing Shipment Options
El. knyga:
21,69 €
The Transportation Problem is a simple freight traffic assignment problem in a many-to-many distribution context. The objective of the problem is to find a minimum cost routing plan for goods from their origins (e.g. their manufacturing plants) to their destinations (e.g. retail points). The real-life case study is about a third-party transportation firm which has to transfer empty containers from 6 warehouses (located in Birmingham, Leeds, Manchester, Newcastle, Sheffield and York), to 5 desti…

Case Study: Optimizing Shipment Options (el. knyga) (skaityta knyga) | knygos.lt

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The Transportation Problem is a simple freight traffic assignment problem in a many-to-many distribution context. The objective of the problem is to find a minimum cost routing plan for goods from their origins (e.g. their manufacturing plants) to their destinations (e.g. retail points).

The real-life case study is about a third-party transportation firm which has to transfer empty containers from 6 warehouses (located in Birmingham, Leeds, Manchester, Newcastle, Sheffield and York), to 5 destinations (Cardiff, Edinburgh, Felixstowe, Glasgow, Southampton).

Mike Simpson and Andrea Genovese provide readers with a detailed and comprehensive analysis of putting together a transportation plan and work examples of mathematical models. Readers are also presented with a series of tables showing the containers availability at each warehouse location and the situation at each port.

Aimed at students on transport management and logistics courses, the reader is shown how to work out a transportation plan that will minimize the total costs by fulfilling all the requirements. The case study guides the reader through the mathematical models and calculations required to reach a solution. The authors also look at possible constraints and how to tackle them.

This case study provides readers with fundamental knowledge about the Least Cost Method.

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The Transportation Problem is a simple freight traffic assignment problem in a many-to-many distribution context. The objective of the problem is to find a minimum cost routing plan for goods from their origins (e.g. their manufacturing plants) to their destinations (e.g. retail points).

The real-life case study is about a third-party transportation firm which has to transfer empty containers from 6 warehouses (located in Birmingham, Leeds, Manchester, Newcastle, Sheffield and York), to 5 destinations (Cardiff, Edinburgh, Felixstowe, Glasgow, Southampton).

Mike Simpson and Andrea Genovese provide readers with a detailed and comprehensive analysis of putting together a transportation plan and work examples of mathematical models. Readers are also presented with a series of tables showing the containers availability at each warehouse location and the situation at each port.

Aimed at students on transport management and logistics courses, the reader is shown how to work out a transportation plan that will minimize the total costs by fulfilling all the requirements. The case study guides the reader through the mathematical models and calculations required to reach a solution. The authors also look at possible constraints and how to tackle them.

This case study provides readers with fundamental knowledge about the Least Cost Method.

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