probabilities of no customer in 5 mins. Concept introduction : Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

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Answer 1

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Chapter 7.3, Problem 11P

a)

Summary Introduction

Interpretation: probabilities of no customer in 5 mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

b)

Summary Introduction

Interpretation: probabilities of exactly one customer in a min.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

c)

Summary Introduction

Interpretation: probabilities of exactly two customers in 2mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

d)

Summary Introduction

Interpretation: probability of at least two customers in 10 mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

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What are the job description or role in Operations management? Please answer at your own easy words.

I am currently working as a Sub Assistant Manager at Advance Personal Care Limited (APCL), a concern of Pran Group. I hold a Bachelor of Pharmacy (Professional) degree. I recently came across a job posting on BD Jobs for a position in Project Management within Quality Operations. I want to apply for this role and need to update my CV accordingly. Could you please guide me on what key information, achievements, and skills I should add or highlight in my CV to align with this new role? Note that i have 8 months experience on this role. Please write at your own easy words. Please don't use Ai answering this question. I will rate you positive if you do so.

I am currently working as a Sub Assistant Manager at Advance Personal Care Limited (APCL), a concern of Pran Group. I hold a Bachelor of Pharmacy (Professional) degree. I recently came across a job posting on BD Jobs for a position in Project Management within Quality Operations. I want to apply for this role and need to update my CV accordingly. Could you please guide me on what key information, achievements, and skills I should add or highlight in my CV to align with this new role? Note that i have 8 months experience on this role. Please don't use Ai answering this question. I will rate you positive if you do so.

Answer 2

Question

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Chapter 7.3, Problem 11P

a)

Summary Introduction

Interpretation: probabilities of no customer in 5 mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

b)

Summary Introduction

Interpretation: probabilities of exactly one customer in a min.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

c)

Summary Introduction

Interpretation: probabilities of exactly two customers in 2mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

d)

Summary Introduction

Interpretation: probability of at least two customers in 10 mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

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Answer 3

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Chapter 7.3, Problem 11P

a)

Summary Introduction

Interpretation: probabilities of no customer in 5 mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

b)

Summary Introduction

Interpretation: probabilities of exactly one customer in a min.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

c)

Summary Introduction

Interpretation: probabilities of exactly two customers in 2mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

d)

Summary Introduction

Interpretation: probability of at least two customers in 10 mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

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Answer 4

Question

100%

Chapter 7.3, Problem 11P

a)

Summary Introduction

Interpretation: probabilities of no customer in 5 mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

b)

Summary Introduction

Interpretation: probabilities of exactly one customer in a min.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

c)

Summary Introduction

Interpretation: probabilities of exactly two customers in 2mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

d)

Summary Introduction

Interpretation: probability of at least two customers in 10 mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

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Answer 5

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Answer 6

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Answer 7

Chapter 7.3, Problem 11P

a)

Summary Introduction

Interpretation: probabilities of no customer in 5 mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

b)

Summary Introduction

Interpretation: probabilities of exactly one customer in a min.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

c)

Summary Introduction

Interpretation: probabilities of exactly two customers in 2mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

d)

Summary Introduction

Interpretation: probability of at least two customers in 10 mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

Answer 8

Chapter 7.3, Problem 11P

a)

Summary Introduction

Interpretation: probabilities of no customer in 5 mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

Answer 9

Chapter 7.3, Problem 11P

a)

Summary Introduction

Interpretation: probabilities of no customer in 5 mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

Answer 10

b)

Summary Introduction

Interpretation: probabilities of exactly one customer in a min.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

Answer 11

b)

Summary Introduction

Interpretation: probabilities of exactly one customer in a min.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

Answer 12

c)

Summary Introduction

Interpretation: probabilities of exactly two customers in 2mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

Answer 13

c)

Summary Introduction

Interpretation: probabilities of exactly two customers in 2mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

Answer 14

d)

Summary Introduction

Interpretation: probability of at least two customers in 10 mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

Answer 15

d)

Summary Introduction

Interpretation: probability of at least two customers in 10 mins.

Concept introduction: Poisson arrivals are a reasonably good assumption for unscheduled systems. Further if there is a mix of many different types of jobs the exponential distribution can be realistic for service times. Otherwise it tends to be too variable of a distribution.

Answer 16

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Answer 17

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Answer 18

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Answer 19

Ch. 7.1 - Prob. 1P Ch. 7.1 - Prob. 2P Ch. 7.1 - Prob. 3P Ch. 7.1 - Prob. 4P Ch. 7.1 - Prob. 5P Ch. 7.1 - Prob. 6P Ch. 7.1 - Prob. 7P Ch. 7.2 - Prob. 8P Ch. 7.2 - Prob. 9P Ch. 7.2 - Prob. 10P

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Chapter 7 Solutions