7ENT1127: Evaluate quantitative modeling concepts for problem-solving and decision-making in a logistics context: Operations Research and Logistics Case Study, UOH, UK

7ENT1127: Evaluate quantitative modeling concepts for problem-solving and decision-making in a logistics context: Operations Research and Logistics Case Study, UOH, UK

This Assignment assesses the following module Learning Outcomes (from Definitive Module Document):

1. Evaluate quantitative modeling concepts for problem-solving and decision-making in a logistics context.

2. Critique the logical process of modeling complex decision problems.

3. Derive solution(s) using a suitable software package when required.

4. Apply techniques and practice to model real-world logistics problems.

5. Critically analyze and report results individually and/or in a group.

Do You Need Assignment of This Question

Order Non Plagiarized Assignment

Assignment Tasks:

Manufacturing simulation uses computers to make virtual models of manufacturing processes and systems, typically with the purpose of collecting important information for use in decision making. Operations researchers and managers use a variety of simulation software in their practice, one

of which is the Witness Simulation software.

In this assignment, you are required to produce a report that addresses the following tasks.

1. Explain the difference between a good decision and a bad decision. Briefly discuss how confirmation bias can affect the quality of decisions.

2. With reference to Case Study A on Pages 4 and 5 below, you are required to use Witness Simulation software to evaluate decisions relating to due date specifications in a job shop. You are required to use a trial-and-error method to determine good due date specifications for the jobs arriving at the case study’s job shop. Use delivery performance in terms of total late/early

completion penalty costs to evaluate your due date specification. Start the simulation with an empty shop and run the simulation until 15,000 minutes. Data on the first 5,000 minutes should be discarded to allow for a warm-up period and attainment of steady-state conditions. Clearly state any assumptions used in the simulation.

3. Critically discuss the results of the simulation carried out in Question 2 above and the performance of the specified due date.

Knowledge and understanding of the subject particularly in the context of the topic covered in the assignment

Explanation of a Concept:

Explain the difference between a good decision and a bad decision. Briefly

discuss how confirmation bias can affect the quality of decisions.

Simulation Modelling

With reference to Case Study A on Pages 4 and 5 below, you are required

to use Witness Simulation software to evaluate decisions relating to the due date of the specification in a job shop. You are required to use a trial-and-error method to determine good due date specifications for the jobs arriving at the case study’s job shop.

Critical Discussion: Critically discuss the results of the simulation carried out in Question 2 above and the performance of the specified due date.

Buy Answer of This Assessment & Raise Your Grades

Request to Buy Answer

The post 7ENT1127: Evaluate quantitative modeling concepts for problem-solving and decision-making in a logistics context: Operations Research and Logistics Case Study, UOH, UK appeared first on Students Assignment Help UK.