Category: Logistics

  • Demand elasticity

    He just fixed his error and made sure that it didnt sound too much like AI.

    Attached Files (PDF/DOCX): final post 2 demand.docx

    Note: Content extraction from these files is restricted, please review them manually.

  • Third Party Provider

    Briefly describe the role of the Third Party Logistics Provider (3PL). What advantages do 3PLs bring ? Are there any disadvantages to a company in outsourcing its logistics functions to a 3PL?
  • Texas Operations Command Dashboard

    Build a 5-page Excel dashboard called Texas Operations Command Dashboard using the Texas Order Tracker, Lease Disposition Tracker, and Forecast Worksheet. The dashboard must separate Central operations (Austin/san Antio/ hou )from Dallas, provide leadership-level KPIs, include operational aging reports, and allow interactive order exploration. As order are submitted the logistics team should be able to still go in and update the status of orders. Have fun!!!

  • 2-3 Assignment: Maintaining Supplier Relationships

    Overview

    In this module, you learned about the importance of prioritizing peopleemployees, the local community, and customers. In this assignment, you will explore important considerations for culturally competent business practices, which can help strengthen and maintain relationships.

    Scenario

    You are a procurement manager working on training a new sourcing analyst. As part of their training, they will be traveling with you to meet with new and existing suppliers for specialized parts that your company needs. This arrangement will allow your colleague to gain firsthand experience and help them develop relationships with the business professionals they will be working with in the future.

    You need to ensure that they are familiar with cultural business practices for the places you will be visiting so that existing business relationships remain strong and new relationships start off well. You have decided to create a brief guide that includes the cultural considerations that they will need to be aware of while doing business.

    Directions

    Use the Module Two Assignment Template linked in the What to Submit section below to create a guide that provides a brief overview of culturally considerate business practices for three countries of your choosing that are outside of the United States. Refer to the Module Two Assignment Example linked in the Supporting Materials section below for an example of a completed chart. Use course and external resources, such as the Shapiro Library, linked in the Supporting Materials section, to gather information on your selected countries and their cultural business practices.

    Specifically, you must address the following rubric criteria:

    • Authority Figures: Describe how figures of authority are treated and shown respect in each selected country, as well as actions or communications that may cause unintended offense.
    • Levels of Formality: Describe the level of formality that business professionals follow in each selected country. Examples of formality include language, dress, and etiquette.
    • Social Norms: Identify common social norms that should be used in business in each selected country, as well as hand gestures and body language that should be avoided or that may cause unintended offense.
    • Time and Scheduling: Describe how the concepts of time and scheduling are treated in each selected country, as well as considerations for business-meeting etiquette that should be considered to avoid causing unintended offense.
    • Business Practices: Describe general business practices that should be taken into consideration when conducting business in the selected countries. Examples of business practices include meals, cultural holidays and events, and the use of formal contracts.

    What to Submit

    Submit the to complete this assignment. Use bullet points when completing the template. Sources should be cited according to APA style.

    Supporting Materials

    The following resource supports your work on the project:

    Reading:

    This document provides an example of a completed Module Two assignment.

    Shapiro Library Website:

    Access the Shapiro Library website to conduct research, ask a librarian for help, and learn more about the resources available to you through the university library.

    AI Usage

    If you use gen AI tools to support your work on this assignment, be sure to follow . You must acknowledge your use of these tools in your work. Guidelines on how to cite AI tools can be found in .

    Attached Files (PDF/DOCX): QSO 321 Module Two Assignment Template (1).docx, QSO 321 Module Two Assignment Example (1).docx

    Note: Content extraction from these files is restricted, please review them manually.

  • Forecast Evaluation

    This assignment you will use Generative AI to evaluate a number of forecasts you created in Homework 1 and 2.

    Google GenAI: This innovative AI platform is a result of a partnership between Rutgers Business School and Google, allowing Business School faculty, staff, and students to access large language models (LLM’s) vendors such as Google, Anthropic, Meta, and many more through a single user interface. The platform brings the power of generative AI to the classroom, allowing users to reference external sites & data sets to provide these modes with contextual information to ground the query results.

    Access is available at the URL below using University Sigle-Sign-On.

    Generative AI can be useful for interpreting forecasts:

    1. Pattern Recognition: Generative AI models, such as those based on deep learning, are adept at recognizing complex patterns within data. This ability is valuable when analyzing historical data and identifying trends or seasonality, which are crucial components of many forecasting models.
    2. Handling Multivariate Data: Many forecasting tasks involve multivariate data, where multiple variables affect the forecast. Generative AI models can handle such data effectively, capturing relationships and dependencies among variables to improve forecasting accuracy.
    3. Handling Nonlinear Relationships: Generative AI models can model nonlinear relationships between input variables and the target forecast. In some forecasting scenarios, these nonlinear relationships can significantly impact the accuracy of predictions.
    4. Learning from Historical Data: Generative AI can analyze extensive historical data to learn from past patterns and behaviors. This is essential for time series forecasting, where the model needs to understand how past observations influence future values.
    5. Adaptability: Generative AI models can adapt to changing data patterns over time. This adaptability is crucial in forecasting tasks where the underlying factors affecting the forecast may evolve or experience shifts.
    6. Uncertainty Estimation: Some generative AI models can provide estimates of uncertainty, which is essential in forecasting. Knowing the confidence intervals or probability distributions associated with predictions helps decision-makers make informed choices based on the level of risk they are willing to accept.
    7. Handling Missing Data: Generative models can handle missing data points gracefully. In real-world forecasting scenarios, data may be incomplete or have gaps, and generative models can provide forecasts even with missing information.
    8. Scenario Analysis: Generative AI can simulate various scenarios to assess the potential outcomes of different decisions. This is valuable for risk management and strategic planning, allowing decision-makers to explore the impact of various factors on forecasts.
    9. Speed and Automation: Generative AI can generate forecasts quickly and automate the forecasting process, reducing the time and effort required for manual analysis. This is especially beneficial for handling large datasets and frequent updates.
    10. Consistency: Generative AI models can maintain consistency in the forecasting process, reducing the potential for human errors and biases that may arise from manual forecasting methods.
    11. Scale: Generative AI can handle forecasting tasks at scale, making it suitable for businesses and organizations that need to generate forecasts for numerous products, regions, or time periods simultaneously.
    12. Continuous Learning: Some generative AI models support continuous learning, allowing them to adapt and improve their forecasting accuracy as new data becomes available.

    This assignment:

    1. Pick two of your forecasts from HW 1 and two from HW2. The goal is to compare two of the forecasts using ChatGPT and determine which one is better.
    2. First, open the Excel file for the homework and copy and paste the forecast information into your prompt. Then, make sure that you ask for an appropriate analysis of the two forecasts you are comparing and receive appropriate suggestions on what you can do better.
    3. Paste your results into a Word document and submit it below.
  • Legality of Presidential Authority to Execute Operation Gero…

    persuasive essay Minimum of 3 full pages, no more than 5 dos not include introduction, conclusion, reference pages 5 paragraph format APA style 12 pt TNR double spaced

  • Assignment 7, Due on Week 8

    Instructions Assignment 7, Due in Week 8 Course Objectives: Prepare a scholarly reflection paper describing the artifacts in the portfolio and how they demonstrate skills, knowledge, real-world application, and mastery of the program objectives. Explain professional growth attained during the master’s program or explain your professional skills to a potential employer. Prompt Write a reflection paper that: Reflects on your professional growth during the master’s program– What were your strengths at the beginning of the program and how did you leverage them to succeed? (List at least 3) What were your weaknesses when you started the program (List at least 3) How did you address them? Are they still weaknesses? What additional professional development can you do to continue growing in these areas? Describes each of your artifacts presented in your profile, the associated skills demonstrated, and how those skills would be beneficial to the employer. Instructions: Write a 2,100-2,800 word APA formatted paper. The document should include: Title Page Introduction Self-Assessment Personal Development Plan Reflection on the Course (what should we stop doing, what should we continue doing, and what should we start doing?) Conclusion References – 5 or more references using APA format
  • W7: Social Media and ePortfolio

    For this week’s discussion, think about the best location for your e-portfolio. Do you want to use an existing social media platform, or create your own? Do you want to post a blog, or create a website? What period do you want your e-portfolio to be available for viewing? Will the public be able to access your site, or will access be restricted? Be constructive in content and tone. Highlight your thoughts in an action plan.
  • W6: Marketing your work

    E-portfolios are considered the authentic work-products of students and well-suited for self-assessment and peer-review (as a means of improving student learning). Why is this so, in your opinion? Why are e-portfolios more authentic representations of your work, for example, over a graded comprehensive exam or a thesis?
  • W5: ePortfolio

    We will use ePortfolio in this course. When creating an e-portfolio, what do you feel are the essential components that captured what you’re learned? What previous work(s) do you think would highlight yourself and your top learning achievements at APUS? If you were to review an e-portfolio as an employer, what learning outcomes would be most important?