Reference no: EM13137424

Assignment Instructions and Structure 

Very Important Note: 
The case Amarco 4.1 - linear programming modeling (p. 212 - 214) has to be looked by a expert in Operations Management or Operations Research field with excellent skills in excel sheet modeling. The case have 10 Questions needed to be answered all (you can find it with the attachment) needed to be illustrated both in qualitative and quantitative style, first quantitative part is needs excel sheet linear programming model calculations for the 10 questions. Second is the qualitative part by interpreting and analyzing excel sheet linear programming model data of 10 questions in word file (Q1 data analysis answer, Q2 data analysis answer, Q3 data analysis answer, Q4 data analysis answer etc...). 
Make sure you make step by step calculations with explanation of each step to minimize errors and to make clear for the reader and you have to make sure that the numerical calculations are correct and not too complex to understand so you can build the analysis on it later on. I will deal with you as a return customer for the 2nd and 3rd assignments next month in the same area if that one were correct answers (correct step by step calculations and data analysis with recommendations), high quality research and writing and had been looking after carefully. 
The source of the subject and assignment is Practical Management Science, W L Winston and S C Albright, Cengage Learning, 4th edition, 2012. 

ASSIGNMENT TASKS 
• Examine and present the problem in your own words. 
• Answer the ten questions posed. 

ASSESSMENT ELEMENTS 
• A description of the problem (in your own words) and solution (including a print-out of any input files used for software, e.g. spreadsheet). 
• Answers to the ten questions. 

MARKING SCALE
• Presentation and structure.
• Problem description.
• Answers to questions. 

Report Writing Checklist And Criteria 
1. TITLE 
? Should give a clear indication of what the report is about 
? Should not be too long nor too short 

2. TITLE PAGE 
? Attractive appearance 
? Include title, author(s), date, recipient 

3. GENERAL LAYOUT 
? Margin widths 
? Line spacing 
? Font and size 
? Format for sectioning, paragraph spacing etc consistent 
? Page numbers 
? Inclusion of tables and figure with titles for same 
? Correct referencing of other work 

4. ABSTRACT OR SYNOPSIS AND/OR EXECUTIVE SUMMARY 
? In abstract include the problem addressed, the solution approach, the main findings, conclusions, implications, recommendations 
? Length - no more than a page 

5. STRUCTURE 
? Introduction - the problem addressed and why it is important 
? Modelling - background, model description, rationale for choice (where appropriate) 
? Data description if necessary 
? Results 
? Conclusions 
? Optional - glossary, table of contents, executive summary, appendices 

6. CONTENT 
? Clarity and directness 
? Coherence 
? Structure 
? Spelling, grammar, sentence and paragraph structure and content 

7. MISCELLANEOUS 
? The text must tell the story, so don't rely on graphs, diagrams and numbers to tell the story. 
? Don't include graphs and tables and not refer to them in the body of the report. 
? Ensure that there is a flow from one section to the next. 
? Support all assertions by facts. 
? Do not have too much nor too little white space around a table, figure or graph. Ensure that the format of these elements is the same throughout the document. 

Subject Outline: 
Quantitative Management 
Subject Description 

This subject is concerned with practical aspects of quantitative management, and covers recent developments in various areas of application. Applications considered include personnel scheduling, supply chain management (including logistics and inventory control), production planning and control, transportation problems and financial applications. The subject involves various case studies and study of recent journal publication. 

Subject Objectives 

Upon successful completion of this subject students should be able to: 
1. Identify, model and solve problems involving the application of Operations Research methodology to real-life and realistic problems; 
2. Use terms peculiar to the field; and, 
3. Communicate your understanding of the subject orally and in written form. 

Course Contribution 

This subject presents the methodology commonly used in operations research/quantitative management practice in the analysis of complex systems and may include discussions on recent developments in various applications of operations research such as personnel scheduling, production planning and control, transportation problems, inventory control, supply chain management and financial applications of operations research. The subject involves various case studies and intensive study of recent journal publications. 

This subject focuses on the development of some of the skills required in professional practice, and the application of skills and knowledge acquired in the other quantitative management subjects. 


Content 

• Professional development through real-life applications and use of spreadsheet modelling; 
• Research methodology and practice. 

Subject Topic 

1. Operations Research Methodology and spreadsheet modelling 
2. Linear Programming 
3. Network Modelling 
4. Quantitative Techniques for Project Management 
5. Multiple Objective decision-making 
6. Inventory Models 
7. Decision Models and software 
8. An introduction to queuing models 
9. Simulation 
10. Forecasting