Analysis Plan:
The two quantifiable factors that may be affecting the performance of the operational processes are:
1. Data, the data that is currently being used in the forecasting is outdated. Using data from 2006 does not translate the current needs of customer demand. Using updated data should help with making correct estimates how much inventory should be kept on hand without causing lose in revenue.
2. Manufacturing employees, the employees that are manufacturing the voltage regulators have to meet their quotas in order for forecasting to be done correctly. If the employees are lacking the skills and training needed to complete the demands of the job they should be replaced with more skilled employees. Also with getting skilled employees there should be a reduction in the workforce that would allow for cost savings in payroll. Having a leaner more skilled workforce should streamline output which would allow for better data collection.
The problem that A-Cat has is determining if the mean number of transformers needed had changed overtime. For the data from the period 2006-2008 the mean not less than 745 but at least 745, figuring out if this is still true is A-CAT’s main issue. By using outdated data and not understanding the sales patterns of certain products figures and understanding the consumer purchasing patterns will help A-CAT forecast their needs appropriately.
A strategy that can be used to help analyze the problem that A-CAT has is to look at their ability
However, forecast errors will also lead to unhappy customers, lost sales, and excessive inventory. To minimize errors, retailers should find the right demand forecast. Retailers do not want to have a lot of inventory sitting in the back room and too little inventory that will cause out of stock. Holding huge inventory will cause a retailer to have more expenses and decrease their profit if item is not sold especially if the product is innovative type like electronics. The challenge is to balance the inventory with demand. Communication and contribution from people in functional area is also important to create better information and improve overall accuracy. At this time, customer satisfaction will start to decrease. For example, MPRNews says one of Target loyal customer, Ann Hendricks, she is disappointed with target store in St.Paul. “Too many times, she says that store is out of the milk, coffee, bread, pasta and other staples she wants. At Target, sometimes the whole section of cheeses is blank. There's nothing in there” (Moylan). A loyal customer like Ann Hendricks goes to the Lunds & Byerlys store in downtown St. Paul to buy her grocery
1. What recommendations would you make to John Wolf with respect to structuring the supplier relationship process for the Wolf Motors dealership network?
The current demand forecasting method is based on qualitative techniques more than quantitative ones. If the forecast is not accurate, the company would carry both inventory and stock out costs. It might lose customers due to shortage of supply or carry additional holding costs due to excess production. If the actual demand doesn’t match the forecast ones, and the forecast was too high, this will result in high inventories, obsolescence, asset disposals, and increased carrying costs. When a forecast is too low, the customer resorts to a competitive product or retailer. A supplier could lose both sales and shelf space at that retail location forever if their predictions continue to be inaccurate. The tolerance level of the average consumer
* Forecasting is an impartial strategic ingredient that will ensure apt base for reputable planning. Our forecast is always the first step in developing plans in running the business along with our future plans of growth strategies. With this tool, we are able to anticipate our sales within reason that then can allow for us to control our costs in conjunction with inventory which will then help us to enhance our customer service. Sales forecasting is a vital strategic tactic in our company’s methodology.
Forecast Management will also be implemented from Q13 onwards. This would comprise a special unit within the Strategic Planning Division which will closely monitor and analyze the forecasts and trends as it pertains to unit production and price elasticity of demand. While there are many ratios used to analyze and gauge a firm’s performance, The Box Inc. chose five ratios/data points which shall be used as a baseline to the organization’s overall performance. These ratios/data points were chosen as they were seen to give a good indication to how the firm is maintaining its goals of a balance between profits, debt management and shareholder value. The ratios in the table below will be used as a guideline to assist in the organization’s future operations. In order for an organization to progress, it is important to look back at its past performance, see what was done right, what was done wrong and what could be improved. The matrix below, patented by the firm as “The Box Inc.
However, from the case study, it is difficult to do so due to two main reasons which are insufficient information and long production’s lead time. Information would slowly become more obvious when it approaches the peak season while the long production’s lead time is a constraint which prevents the company from producing at the point where adequate data are available. Therefore, to improve company’s performance, the first thing is to forecast demand more accurately from the first beginning. Wally now only based his first phase production decision on individual forecasts. However, from the exhibit 5, it shows how demand forecasts improve with increasing information. With the lack of information, Wally might take into account and use past statistical deviation between initial and final forecast, which is the closest to the real demand, when he makes a decision. In textile and fashion industry where things change rapidly, people who have more experience and close to customers are those who are most likely to accurately foresee the future trends. So inviting retailers, especially salesmen or shop managers, to help with the demand forecasting is a good idea (Giordano also used this effective strategy to forecast demand).
I attended my second APICS Central Indiana Professional Development Meeting at Carmel on the 13th of March 2014. The keynote speaker was Bill Whiteside, who is a founder of Demand Solution Northeast, which markets and supports the Demand Solution suite of forecasting and supply chain management software in the Northeast US. He is a graduate of the University of Notre Dame and a professional member of APICS. At that dinner event, he presented twelve supply chain forecasting lesson from “The Signal and The Noise.”
This may involve metrics such as time or volume, identification of areas for pre-existing process improvements as well as a risk mitigation plan. Successful response strategies should be implemented from the collaboration with business partners.
Although A-Cat Corp is still generating consistent revenue growth as far a profit, sales have been faltering in relation to competitors. The original method for forecasting how many transformers they will need to meet said demand was to examine the sales figures of the preceding months as well as the previous two years around the same time and they would hypothesize how many transformer they would need. Although this method proved plausible in previous testing phases there have been instances of under or over stocking. Supplier issues are also beginning to heightened concerns in regards to inconsistent ordering approaches. Ratnaparkhi, Head of Operations, has been asked to develop an analysis of the data submitted to him and to present a report with
Operations management focuses on managing the processes of producing and distributing products and services. Operations activities often include product creation, development, production and distribution. It deals with all operations within the organization. Related activities include managing purchases, inventory control, quality control, storage, logistics and evaluations. The nature of how operations management is carried out in an organization depends very much on the nature of products or services in the organization, for example, retail, manufacturing, wholesale, etc.
Inaccurate forecasts can and will dramatically affect your profitability. If the workload for an e-commerce/catalog retailer’s contact center is underestimated to the point where 100 callers out of 1,000 hang up before they speak to a representative, and the firm’s average order value is say $50, that could mean $5,000 in lost revenue per day. If left unchecked, that equates to $150,000 in lost revenue per month, and in the course of a year spirals to a shocking $1.8 million in lost revenue – money
I currently am working at a grocery store called Pick n’ Save. They were owned by Roundy’s and just last year they were sold to Kroger. In the past year we have had to make many operational changes. When we were owned by Roundys, there was really no direction. Each store would kind of do it’s own thing with the exception of setting up displays. Now that Kroger has bought us, they have a whole “Standards binder” in which we must follow in detail. They want every store to be uniform, with no deviations from the standards.
Based on the case, there were two fundamental changes to standardize and improve the accuracy of forecasts. The first area was to "switch the focus of the focus of the forecasting process from sell-in to sell-through". This meant tracking closely what was sold in one region and shipped from another made forecasting market demand a more accurate exercise. The second area centered on ignoring capacity constraints to estimate demand. In the past, "forecasting was affected by perceptions of present and future supply chain capacity".
According to Caldwell (2002, pp 8), performance management is defined as a “proactive partnership between employees and management that helps employees perform at their best and alight their contributions with the goals, values and initiatives of the organisation”.
There are countless issues, problems, and considerations in forecasting for new product. First, we must understand what a sales forecast is and what is designed to do. A sales forecast is an educated guess of future performance based on sales and expected market conditions. The value of the forecast is that we can predict and prepare for the future objectively. The objective is to review the past, be focused in the present and follow the trends of the past and present to predict the future.