Project Proposal
Description
OVERVIEW
Each student is required to observe, learn and critique an operation/process of your choice. The operation of interest can either be a manufacturing or service process. Given digitalization and increasing availability of internal operational data, think deeply about how the operation processes are affected in a connected world by, e.g., mobile orders and e-commerce in the retailing industry, automation in manufacturing and warehouse management, sharing economy, and connection between operations and finance based on data analysis on inventories.
GUIDELINES
The operation must be local, so that you can observe the operations in action.
Pick an operation of reasonable size: A one-person operation may be too small to offer any interesting learning experience, while the logistics operation of Wal-Mart may be too large to analyze given the time constraint.
Narrow the project scope to one or two major operations issues. For example, why does the firm carry so many inventories, or how can the firm deliver its orders in such a short timeframe?
Learn from either the good or the bad: The operation can be in chaos where you study the associated challenges, or the operation can be a best practice, where you study the secrets to achieve operational excellence (or most likely, somewhere in between).
- Identify some quantifiable measures to evaluate the operations performance. Understand what aspects of the operation drive the underlying performance.
- Suggest ways to improve the underlying operations and discuss any implementation challenges.
Unformatted Attachment Preview
The business operation/process we are focusing on is the queueing model of Blaze Pizza
from the perspective of consumers. Blaze Pizza is a fast food establishment dedicated to
providing customers pizza, according to their preferences. Customers have the option of
customizing their own pizza or purchasing a pizza off their menu. They also offer an assortment
of salads, desserts, and drinks.
However, the model has minor issues that could easily be improved, regarding their
business process. Although customers enjoy being able to customize their pizzas, this process
extends waiting time for remaining customers. We will apply the knowledge learned in class to
perform an analysis on Blazeàbusiness process. In order to recreate multiple M/M/1 queues or a
single M/M/n queue, we are going to Blaze at UTC to track customer wait time, online order
time, service rate, and observe customer to worker ratio. We plan on not only observing
customers, but also experiencing the process ourselves to gain accurate information regarding the
queuing model. After collecting data, we will use the analysis method used during the Kristen
Cookie case activity to recognize which station can be improved and how to implement the
change(s). Additionally, we will try their online ordering feature to study the effect of
digitalization to Blazeàbusiness process and determine whether online ordering is more
efficient (or inefficient) in comparison to ordering in-person during peak and off peak hours.
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