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Chapter 18, Problem 1DQ
Summary Introduction

To describe: The historical development of the logistics field

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Explanation of Solution

The usage of oceans and other water bodies such as rivers, lakes and inland waterways for the movement of goods, besides the developments in railroad, roadways, pipelines and air, increased the options for the movement of products from one place to the other. These advances provided the fillip to the development of the logistics field.

Along with the developments in transportation, the need for more efficient storage and warehousing was felt. Initially the development of logistics was based on agricultural products which have seasonal production and a more uniform consumption throughout the year. This was later extended to minerals and industrial products.

Globalization and the lowering of trade barriers provided the boost to logistics to emerge as one of the key drivers which facilitated the global economic development in the more recent decades.

Logistics field has now evolved into a more comprehensive supply chain management function.

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Can you guys help me with this? Thank you! Here's the question: Compared to the CONSTRAINT model, how has the network changed? How do you plan to add contingency to your network? Please answer this thoroughly Here's the what-if scenario: Assume that the LA warehouse becomes temporarily or even indefinitely disabled since facing a large-scale labor disruption. Re-optimize the network considering this new constraint. Here's the scenario comparison analysis:  Scenario Constraint Scenario vs What-if Scenario Summary The Constraint Scenario exhibits a higher total cost of $7,424,575.45 compared to the What-if Scenario's total cost of $6,611,905.60, signifying a difference of approximately $812,669.85, which indicates a more expensive operation in the Constraint Scenario. The average service time is slightly higher in the Constraint Scenario (0.72 days vs. 0.70 days), suggesting that the What-if Scenario provides a marginally quicker service. Moreover, the average end-to-end service time…
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