1)[10 points] What is the relationship between demand management, order management, and customer service? Briefly explain in 100-200 words.2)[10 points] Select a product of your choice. (e.g. Automobiles, Computers, Shoes, etc.) Describe the order cycle for that product. Why is it considered an important aspect of customer service? What are some causes of order cycle variability? (100-200 words) 3)[10 points] Briefly explain the order delivery stage of the order cycle. Choose a leading logistics company from the following list and explain the different delivery options offered by that company. (100-200 words)4)[10 points] Explain following forecasting models. Provide a forecasting scenario where each method is suitable most. a)Time series models b)Causal modelsc)Qualitative (judgmental) models5)[20 points] Consider the recorded sales record of a product given in the following table. a)What is the forecast for May using a three-month moving average?b)What is the forecast for May using a four-month moving average?c)If the actual forecast for May is 50 units, which forecast is more accurate? Explain why.6)[20 points] For the data in problem (3), what is the forecast for May based on a weighted moving average applied to the past demand data using following weighs.a)(t) month weight = 0.45, (t-1) month weight = 0.35, (t-2) month weight = 0.20b)(t) month weight = 0.25, (t-1) month weight = 0.35, (t-2) month weight = 0.40c)If the actual forecast for May is 50 units, which forecast is more accurate? Explain why.7)[20 points] A trucking company tracked the number of miles driven by its drivers and bonus pay given to drivers in last 9 months. a)Develop a regression model using above data to calculate the number of miles and the bonus pay.b)If $75,000 will be spent on bonus pay in 10th month, how many miles can be expected to be driven? https://payspacemagazine.com/retail/logistics-top-10/ Nov. Dec. Jan. Feb. Mar. April 39 36 40 42 48 46 Month Miles (units) Bonus pay ($ ‘000) 1 86,010 25 2 134,697 40 3 202,025 65 4 141,180 45 5 217,086 70 6 178,399 55 7 156,975 50 8 113,155 35 9 191,901 60

This Portfolio Project option has two parts: a written report and a PowerPoint presentation. A typical organization loses a certain percentage of annual revenue to fraud. The potential for fraud occurs in all organizations, regardless of the industry in which it operates, financial structure, or size. Every organization is vulnerable to fraud. The risk of fraud should be reduced as much as possible to improve the longevity of the organization. Hence, preventing, deterring, and detecting fraud are crucial to the success of organizations. Deterring and preventing fraud can be more economical than detecting, investigating, and recovering from fraud after the fact. These anti-fraud measures must start at the top and must be communicated throughout the organization. They must go beyond internal controls yet consider the cost-benefit. Develop an anti-fraud program, or model, that can be implemented in any organization. In other words, don't apply the model to a specific organization. The model, if applied correctly, must be efficient in preventing, detecting and deterring fraud. At minimum, your model must address the following factors: Fraud risk assessment Employees' Code of Conduct Policies and procedures to prevent, deter, and detect fraud Technical tools to prevent, deter, and detect fraud (i.e. SQL, ODBC, Digital Analysis, etc.) Cost-benefit analysis Resources to consider: AICPA. (n.d.). Managing the business risk of fraud: A practical guide (Links to an external site.). https://competency.aicpa.org/media_resources/20904... Protiviti. (n.d.) Evaluating your anti-fraud program (Links to an external site.).(Links to an external site.)https://www.protiviti.com/US-en/insights/suggestions-evaluating-your-anti-fraud-program