Mylab Operations Management With Pearson Etext -- Access Card -- For Operations Management: Sustainability And Supply Chain Management (13th Edition)
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Chapter 17, Problem 3DQ
Summary Introduction

To define: The notion of “infant mortality”

Introduction: Reliability is the probability that a product can perform over a specific period. It is the consistency of the product to perform in the same way for a particular period of time.

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Long term capacity plans and how to properly make decisions regarding long-term planning Long-term capacity plans cover periods longer periods of time. These plans are suitable for large businesses that want to scale their operations with a proven strategy for achieving production targets and meeting customer demands. Long-term capacity plans consider other factors apart from the productive requirements of the company. How important is it, in your mind, to properly make decisions regarding long-term capacity planning?  How does this decision impact the present and future profitability of an organization?  Be specific and give examples.
In addition to the Amazon case study you provided, I'm curious if you've encountered other examples of companies successfully applying Little's Law to enhance their supply chain risk management practices. For instance, have you seen organizations use queuing theory to assess the potential ripple effects of disruptions, stress-test their contingency plans, or identify critical control points that require heightened monitoring and agility? Please provide a reference
Sam's Pet Hotel operates 48 weeks per year, 6 days per week, and uses a continuous review inventory system. It purchases kitty litter for $13.00 per bag The following information is available about these bags: > Demand 85 bags/week >Order cost $60.00/order > Annual holding cost = 35 percent of cost > Desired cycle-service level 80 percent > Lead time = 4 weeks (24 working days) > Standard deviation of weekly demand = 15 bags > Current on-hand inventory is 320 bags, with no open orders or backorders. a. Suppose that the weekly demand forecast of 85 bags is incorrect and actual demand averages only 65 bags per week. How much higher will total costs be, owing to the distorted EOQ caused by this forecast error? The costs will be $higher owing to the error in EOQ. (Enter your response rounded to two decimal places.)
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