This paper will cover topics regarding remote work. More specifically, remote work for the field of logistics. It will also dive into remote work platforms themselves e.g., Slack, Zoom, etc. Microsoft Teams, the specific software we used while I was at my internship, will be analyzed as well. I will, specifically, be analyzing the fundamental issues that occurred during my internship, developing a feasible solution with a laid-out process for each one. After the proper execution of these processes, I will discuss my results. I found that time is the most critical component of an optimal transition to remote work. Finally, I will conclude with reflections on my findings, insights from current working supply chain professionals, and prompt further research that could be done.

There does not appear to be a singular variable that determines where companies choose to place their distribution centers, however there are several underlying factors that may alter companies’ decisions on what countries they develop distribution networks in. There are many reasons companies choose a distribution centers’ location: infrastructure, trade barriers, and costs are often considered as well as the supply and demand markets for the product offerings. Countries can alter aspects to increase the number of businesses that operate within their bounds. When a distribution center is constructed local communities benefit from corporate initiatives and funding as well as jobs and access to cheaper products. Countries often utilize taxes and regulation to positively impact the environment when introducing distribution centers to their economy. The goal is to understand the weights of different factors that shape where distribution centers are located and inform decision makers on the aspects they should alter to get the greatest return on investment. The resulting data will display how large retailers have positioned their current warehouse to indicate likely expansions and the factors that are currently affecting location decisions. <br/><br/>The research project asks the following questions:<br/><br/>When determining the best location for distribution centers, what factors have the largest impact on business decisions? <br/>What role do governments play in developing space for companies to conduct business in (how do they update their infrastructure and customs methods including the impact on trade across industries)? <br/>How can governments and the community limit outsourcing and/or bring businesses (and thus distribution centers) closer to home? <br/><br/>When determining distribution center locations, most companies analyze the political and market structure to decide whether they will enter the market. Once companies have chosen the general region they are hoping to gain, infrastructure and costs are analyzed to find to maintain a competitive advantage in cost while maintaining relatively close locations to stores and consumers. Many companies utilize intermodal transportation on a macroscale, however in last mile logistics it is uncommon for large retailers such as Amazon and Walmart to use anything other than trucks (most commonly their own fleet). Governments have a clear role in gaining or limiting business, however, these factors are typically only considered upon entry or due to changes in major trade barriers therefore policy changes are less likely to encourage growth than investments in infrastructure or alterations in economic conditions such as taxes. Consumers and governments should work together to create an environment that fosters business growth in both new companies entering the market and existing companies expanding by creating unique policies that utilize taxes and business investments to invest in infrastructure.

Technology continues to impact human's daily lives and behavior, from how we purchase our groceries to how we get access to news and the means we communicate with others. New technologies are constantly being introduced and are not only influencing the public but also how businesses operate. During this technological era companies are investing more in research and development to learn more about the potential benefits of these technologies. This research, in particular, will address the need for companies' investment and continuous improvement in transportation management systems among complex supply chains to increase adoption rates of TMS technology. Also I will show how Transportation management systems have increased cost savings, customer satisfaction, the optimization of data, and planning. Such research is further supported by personal interviews with Intel, Big lots, Leslie’s Pools, and At Home, whom all have experience with transportation management systems within their business operations.

American Logistics Aid Network (ALAN) is a non-profit logistics aid firm that provides supply chain assistance to non-profit organizations in times of crisis. It acts somewhat as a non-profit 3PL, connecting nonprofits seeking humanitarian aid goods, materials handling equipment, warehousing, logistics transportation, and expertise to an outstanding network of partner companies and organizations who help to deliver on their requests. In June of 2020, our team began an internship to identify and implement key process improvements for ALAN’s internal and external processes. This thesis is a summary of our findings, our solutions proposal, and their applicability to other non-profit organizations.

American Logistics Aid Network (ALAN) is a non-profit logistics aid firm that provides supply chain assistance to non-profit organizations in times of crisis. It acts somewhat as a non-profit 3PL, connecting nonprofits seeking humanitarian aid goods, materials handling equipment, warehousing, logistics transportation, and expertise to an outstanding network of partner companies and organizations who help to deliver on their requests. In June of 2020, our team began an internship to identify and implement key process improvements for ALAN’s internal and external processes. This thesis is a summary of our findings, our solutions proposal, and their applicability to other non-profit organizations.

American Logistics Aid Network (ALAN) is a non-profit logistics aid firm that provides supply chain assistance to non-profit organizations in times of crisis. It acts somewhat as a non-profit 3PL, connecting nonprofits seeking humanitarian aid goods, materials handling equipment, warehousing, logistics transportation, and expertise to an outstanding network of partner companies and organizations who help to deliver on their requests. In June of 2020, our team began an internship to identify and implement key process improvements for ALAN’s internal and external processes. This thesis is a summary of our findings, our solutions proposal, and their applicability to other non-profit organizations.

Purpose: This paper serves to illustrate the risks that affect multinational organizations during this new era of global production and increased supply chain complexity. This paper also strives to showcase the benefits of conducting a Network Optimization analysis on a firm’s logistics system including but not limited to reducing the impact of supply chain market and operational risk, improving efficiency, and increasing cost savings across the organization. Approach: This paper will have two main sections beginning with an in depth look into the theory supporting supply chain logistics network optimizations. Through this literature review, the best practices in the industry will be compared to risk mitigation methodology to determine an analytical process that can be applied to companies considering conducting a network optimization. The second stage of this paper takes a clinical look at the aerospace industry and the implementation process of a Logistics Network Optimization at an industry leader to ultimately recommend additional considerations they should implement into their process. Recommendation: To ensure the effective adoption of a network optimization in the aerospace industry, and other manufacturing industries, the maintenance of logistics data and creation of long term 3PL partnerships are needed for success. It is also important to frame a network optimization not as an operational project, but rather a critical business process aimed to mitigate risk within the supply chain though a four-stage risk identification process.