In this paper, I discuss my findings from The Toyota Way, 2 Second Lean, and Lean Thinking, I present an analysis of my implementation of lean processes for Page Petal, and I recommend a set of lean<br/>philosophies that I found to be successful for e-commerce product-based small businesses. I also focus on how the economy plays an important role in the demand for goods, a major factor in<br/>which lean processes will ultimately be successful. The goal of this paper is to demonstrate the value of mindful risk-taking in entrepreneurship and to reveal what was effective with Page Petal in hopes of giving other small businesses insight into how to be successful.

This paper analyzes the economic, legal, and social aspects of the legal cannabis industry in the United States. These analyses include the history, current status, and future of all three components, all with an emphasis on reforming the existing systems in place in order to achieve the most beneficial cannabis industry possible. Many reformative legal implications are made, stressing the importance of decriminalizing cannabis, releasing nonviolent and cannabis-related criminals from prison, and expunging their criminal records. The paper places a heavy emphasis on the importance of designing the legal system to be fair and equal across all racial and ethnic groups, given that people of color have been hit the hardest in terms of cannabis-related issues. Economic components such as tax design and access to proper financial institutions are also included, as well as the social implications that have both gone into and are a product of the long-standing war on drugs. While there is no comprehensive solution for how to fix every aspect of the industry, this paper highlights key aspects to be aware of in the design stages of potential federal legalization.

This paper is an exploration of numerical optimization as it applies to the consumer choice problem. Suggested algorithms are intended to compute solutions to the Marshallian problem, and some can extend to the dual given the suggested modifications. Each method seeks to either weaken the sufficient conditions for optimization, converge to a solution more efficiently, or describe additional properties of the decision space. The purpose of this paper is to explore constrained quasiconvex programming in a less complicated environment by design of Marshallian constraints.