Need help in a journal paper review.

The following are the criteria:

- Choose a journal paper in the general area of probabilistic operations research

- recently published (2008 onwards) technical journal.

- Have the paper approved by the instructor before starting work on any topic

 - Prof. does not approve papers from "Open Access" journals.

For the Journal Paper Review Report:

• Briefly outline the article explaining the basic principles involved
• Summarize all assumptions
• Give detailed steps of the procedure, if applicable
• Where appropriate, provide an simple, original (i.e., don't copy what is in the paper) numerical example illustrating the various steps of the procedure
• Comment on the article, including its advantages and limitations; include personal comments and critiques
• As an appendix, include a copy of the first page of all of the reference papers used including the article being reviewed
• Project reports will not be returned

Once it is approved, the report should consist of a review of the paper (a clear description of the problem and solution, as well as a critical analysis of the paper) using the list above as a guide. The additional references you use are solely up to you. The intent is for you to determine what you need to learn in order to fully understand your paper, its problem, and solution-some will need to review many references; some may need only a few. Finally, do not simply re-write the paper: your report should not be a replication of the paper's equations, tables, figures, data, and/or results (I will have a copy of the journal paper and I can reference these as I need to); only include items in your report that are necessary to make your point.

The course (Probabilistic Operation Research) topics are:

• Markov chains: Applications, Chapman-Kolmogorov equations, classification of states, first passage times
• Markov chains: Steady state probabilities, long-run expected values, absorbing chains
• Queueing Theory: Basic structure, concepts and applications, role of the exponential distribution, birth-and-death process, queueing models based on the birth-and-death process
• Queueing Theory: Queueing models involving non-exponential distributions.
• Inventory Theory: Applications and components of inventory models, deterministic models - continuous review, periodic review
• Inventory Theory: Stochastic models - continuous review, single period, larger inventory systems in practice
• Metaheuristics: Complexity theory, deterministic and probabilistic heuristics including local search, ant colony optimization, genetic algorithms, tabu search, and simulated annealing.