Forecast accuracy is achieved after disciplined and structured methodologies are applied in the supply chain management. An accurate forecast is not the last step to master supply chains, it needs to be complemented with the creation of demand-driven supply chains with real time visibility. This means extending beyond the enterprise into customer and supplier supply chains, resulting in a competitive advantage.
The article was based on a study conducted by PRTM and Chief Supply Chain Officer (CSCO) magazine, where nearly 40 companies submitted forecasting practice data. In general, only the top 25% of these companies implemented an “accurate” forecast performance system, what reinforces the hypothesis that while forecast accuracy is a critical element of supply chain management, it is an area that continues to challenge most companies.
Forecasting performance can have a powerful impact on overall supply chain performance. Best Performing companies are defined as the top 20 percent of companies achieving the highest index score across the following metrics:
• delivery performance
• fill rate
• finished goods inventory
• and profitability
Further analysis also demonstrates a strong correlation between forecast accuracy and customer facing metrics like
• order fill rate performance
• on-time delivery performance
• and inventory turnover
However, while such benchmark data tells us what benefits can be achieved through improved forecast accuracy, it does not answer the million-dollar question of how this can be realized.
In essence, the study confirms three essential building blocks of a supply chain excellence program targeted at improving forecasting effectiveness and accuracy (These three practices are the foundational ele...
... middle of paper ...
...rtainty, and variable buying patterns.
Other proactive demand management practices adopted by companies to reduce their dependency on the forecast include demand-shaping initiatives that focus on a “sell what we have” approach. By changing order fulfillment lead times, initiating promotional campaigns, and adjusting pricing and feature/option availability, companies are able to shift demand to meet commitments and manage their sales plan by shaping demand to sell what they have.
In conclusion, the ability to accurately predict customer demand is at the heart of every company’s effort to achieve superior supply chain performance, and the way most companies evaluate forecasting performance tells them the magnitude of their error. The new challenge is to identify causes of the error or potential for improvement to sustain a highly productive and efficient supply chain.
Target Corporation needs to increase product availability based on the customer needs using a forecasting and supply chain
Understanding the changes in the market and the growth of e-commerce prompted the organization to invest heavily in its supply chain management forecasting and management system. The development of a network of distribution centers and Direct Fulfillment Centers to position the company to capitalize on the growing e-commerce market indicate a strong understanding of the need to adapt to changing market forces. The company spent over $300 million on new distribution center facilities in 2014 alone, and continues to expand to maintain efficiency in product movement (Cassidy,
Accommodating customer requirements in most supply chain arrangement requires a forecast to drive the process. (book page 133) When looking into the definition of forecasting which is projecting what is going to be sold (units, seats, rooms etc) it is also important to take into consideration where and when in order to reach the future goals. (book page 133) Since it is argued that effective supply chain and logistical capacity is an important competitive advantage. (Christopher 2005) Where maximizing the revenue is the key element in hospitality sector and for hotel industry there is an increased attention on effective demand management and forecasting for reservation systems. (http://www.sciencedirect.com/science/article/pii/S0169207002000110)
In order to succeed, managers have to realize that they cannot do it alone and they must work together on a daily basis with the whole organizations in their supply chains. Because supply chain management involves all functions within an organization, managers need to know what a supply chain is, why it is important, and the impact of supply chain management on the success and profitability of their organization. Today, Wal-Mart topped the list of the America’s biggest companies on the Fortune 500 list, “with sales of almost $345 billion — more than a quarter of a trillion dollars” (Forbs). Wal-Mart’s supply chain management is becoming recognized as a core competitive strategy.
Addressing the trials of operating in a continually changing environment and realizing forecasts can only
Management experience will also play a large role in the success of the forecast. The current team is quite new and will gain some needed experience over the next year in the hopes of staying on track for success. The ability of management to ensure product is readily available for the client, their training techniques with new and seasoned associates, and general management style will ensure success or spell defeat for the store.
Another lesson of the game materialized gradually at first, but steadily became more and more evident with each round of play. This lesson was the demonstration of the overwhelming ineffectiveness and utter futility of approaching logistics from the position of total ignorance. With no forecast or sales history to serve as a guide or predictive tool, the participating supply elements simply had nothing to base their projected order quantities upon other than pure conjecture. Operating in a vacuum relative to the other players of the supply chain was nothing less than counterproductive. Closely related was the development of a subdued, but underlying, sense of hostility within the supply chain as orders were placed that didn’t correspond with anticipated amounts. When this type of communication breakdown exists in the real world, an irritation between supply elements invariably manifests itself. Additionally, the resulting waste of time, material, storing of inventory and other resources expenses further fuel the fires of frustration and discord between supply elements.
In Book V of his Principles Alfred Marshall describes what he denominated “the state of arts” of the supply and demand theory, going back to Adam Smith. The assumptions then applied to the matter was that 1) demand comes first, 2) it is up to sellers to adjust supply to demand through production and marketing, a mix where the price is the most important variable, and 3) production takes time. Marshall summarized statement 2 later on into a single phrase: “Production and marketing are parts of the single process of adjustment of supply to demand” (MARSHALL, 1919, p. 181). This set of three assumptions suggests that the basic principles of the supply and demand theory collected by Marshall from the work by some scientists were then laid, requiring therefore only the right mathematical treatment.
The furniture company Somerset needs to retain its customer service record and remedy any of its global supply chain issues before it has an adverse effect on the brand and start losing customers. With a frequent change in the product catalog, keeping an excessive inventory will cut its profit and some of the product may become obsolete even before the furniture hits the retail outlet stores. In order to achieve profit and success, business employee many strategies and the supply chain strategy are one of the operational management techniques that use analytical decision making process to achieve the company goals and provide tools to effectively compete in the market (Taylor and Russell, 2014).
Sethi, S, Yan, H, & Zhang, H. (2005) Inventory And Supply Chain Management With Forecast Updates New York, NY : Springer.
Journey from an “Order-Taker” to “Next-Generation Demand Management”: Cooper lead the IS organization through this change from a mere order taker to building the solution together with the business managers. The relationship managers that were inserted in the business ...
...om product forecasting exercise, this will help customers in getting a better deal from suppliers (Mellahi, K., Johnson, M., 2000).
This Paper examines and compares various forecasting techniques used for qualitative and quantitative business forecasting and their use in Firstlogic Inc., to forecast the demand under conditions of uncertainty. Time series and Delphi forecasting methods are considered for this research to evaluate their ability to make effective decisions regarding the future.
This is the activity carried out by organizations that own production sites, and their performance has a major impact on product cost, quality, speed of delivery and delivery reliability, and flexibility [8]. As it is quite an important part of the supply chain, production needs to be measured and continuously improved. Suitable metrics for the production level are as follows. Order lead-time, the total order cycle time, called order to delivery cycle time, refers to the time elapsed in between the receipt of customer order until the delivery of finished goods to the customer. The reduction in order cycle time leads to reduction in supply chain response time, and as such is an important performance measure and source of competitive advantage [9]. It directly interacts with customer service in determining competitiveness. Range of product and services: According to [8] a plant that manufactures a broad product range is likely to introduce new products more slowly than plants with a narrow product range. Plants that can manufacture a wide range of products are likely to perform less well in the areas of value added per employee, speed and delivery reliability. This clearly suggests that product range affects supply chain performance. Effectiveness of scheduling techniques is another important measure of supply chain effectiveness. Scheduling refers to the time or date on or by which
Back to the iPhone analysis, the historical data has to be analyzed and pick the best attributes that cause significant impact towards the prediction rate (like sales on location wise, season-wise, age ).