Sales for the last quarter of the year were good, with tops sales at 3,400 units and pants sales at 3,200 units. Demand for the first quarter sales of next year is expected to decline by 8%. What is your forecast for the demand of tops and pants? Tops Sales Forecast: 0 ▲ ▼ Pants Sales Forecast: 0 ▲ ▼ Is there anything you could do to help minimize the effect of the projected decline in demand on sales?

Da

Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure

De Mar’s Product Strategy. De Mar is a repairing company that is located in Fresno California. This is an operating company that operates24hours a day 7 days a week including holidays that focuses on repairing plumbing, heating, and air conditioning. De Mar’s objective is it should fix all problems a consumer has at the exact time that the consumer wants it done. De Mar provides consumers with year long quality work through their labour and materials used to fix problems. The owner of De Mar, Larry Harmon, insists that the company should focus on consumer needs instead of its own revenue. Although Harmon feels strongly about consumer needs instead of revenue De Mar has high prices and given the time-span of 8 years moved from making $200,000 to $3.3million. In order for the company to achieve its product strategy De Mar uses teamwork, peer pressure and promotion. Though De Mar is a successful company it suffers from three problems which are its marketing strategy, management of…

The least squares regression method question - rounds your answer to two decimal points.please find the solution and provide me with detailed step by step instructins, I am completely lost.

Exercise 1: You are the operations manager at the company Servicios de Salud, Inc., which provides care services to the elderly. An important aspect of your job is ensuring that nursing homes have a healthy inventory of nutritional drinks for residents. Below is the historical demand for the product for one year: Month Historical demand (boxes) Forecasted demand (boxes) January 300   February 340   March 370   April 410 ¿? May 470 ¿? June 570 ¿? July 630 ¿? August 720 ¿? September 640 ¿? October 460 ¿? November 420 ¿? December 390 ¿? a. Calculate the average demand for each period from April to December using the 3-month simple moving average. Presents calculations and findings in a clear and organized manner. b. Discuss any trends or patterns observed in the calculated moving average demand values. c. Make an interpretation of the results and their implications for forecasting…

The SCORE framework espoused in the article entitled "The Board's Role in Sustainability" recommends each of the following to achieve board-of-director buy-in of a company's sustainability initiatives, except: articulating a simple and clear statement of purpose. taking "ownership" of the company's stated purpose. basing compensation systems on metrics that reflect purpose, not just profits recognizing that ultimately the firm has a fiduciary responsibility to put shareholders' interests above all others.

please help me with Question 3 thanks! Demand forecasts for 2021 are as follows: Month Demand Jan 140,000 Feb 78,900 Mar 85,800 Apr 89,100 May 123,600 Jun 136,350 Jul 120,450 Aug 106,950 Sep 121,950 Oct 135,750 Nov 87,000 Dec 93,300 Each worker can produce 900 products per month and is paid $1500 per month. Assume that at the end of last year, the company has 100 employees working on the production line. Hiring and layoff (firing) decisions are made at the beginning of each month, and associated costs are charged at that time. It costs the company $400 to hire and $800 to lay off a worker. The company incurs holding cost for the amount of ending inventory in each month, and incurs backorder cost at the end of each month for any unfilled orders. The company incurs $2 per month for holding one unit in inventory and $4 per unit backorder. 1 Prepare a level aggregate plan. Under this level aggregate plan, how…

Prepare a Demand Forecast for “Year 5” using Excel. Quarterly Data for Cars Sales     Yt Year Quarter Sales (1000s) Year 1 1 4.80   2 4.10   3 6.00   4 6.50 Year 2 1 5.80   2 5.20   3 6.80   4 7.40 Year 3 1 6.00   2 5.60   3 7.50   4 7.80 Year 4 1 6.30   2 5.90   3 8.00   4 8.40 Year 5 1     2     3     4

part b)