Demand Planning: The first step in Supply Chain planning
Demand planning or sales forecasting is one most important aspect of any organization whether it is a services or a manufacturing organization. A services organization would be estimating the demand for the services and thereby gearing itself up to service the demand for its services. A manufacturing organization would be estimating the demand for its manufactured goods and hence would be working towards whole lot of activities like supply of raw materials, production capacity, distribution etc. Demand planning plays a very strategic role in any organization as the planning for whole lot of other activities depends on the accuracy and validity of this exercise. For example Sales and
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There are various statistical forecasting models each of them catering to different behavioral patterns shown by products and markets. The univariate models, linear models, the multivariate linear and non linear models, seasonal models, Croston’s model, mixed model etc. The list is virtually endless. They may look like small words but selecting an appropriate model for each of the products in the portfolio could be a time consuming and intricate task. There are no short cuts for this. A detailed simulation exercise needs to be carried out to select the best model for a product and market. The statistical forecasting models need to be continuously tested and refined. This means the demand planning tool should also support a simulation environment and also the ability to compare different forecasting models. Depending on the way the data is stored in the demand planning tool; statistical forecasting can be done at various levels. There can be a top down approach or a bottom up approach. A top down approach means carrying on statistical forecasting at the highest level and then breaking it down, the bottom up approach means the vise versa.
Consensus planning: The demand planning tool should support consensus planning features since demand planning is rarely the work a single person from a single department. Demand planning often is a collaborative exercise between different departments
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Demand forecasting and planning is the very first step in most of the planning cycles in an organization. Any errors that creep into the numbers at this point have a ripple effect later on which only gets amplified. This phenomenon is popularly known as the Bullwhip effect in supply chain. With the ever changing nature of the environment that an organization is operating in along with shortening product lifecycles and other competitive pressures it is imperative to have a demand planning tool which should be able to handle the complexities of the business not only today but also be scalable for the future needs as an organization
Like REI, Cabela’s manages both consumer direct shipments and store replenishments in the same distribution centers. Cabela’s has three distribution centers as well as two returns processing centers. Each distribution and returns centers being 1 million square feet, can process an excess of 800,000 store, consumer and individual orders. Cabela’s only houses 30% of inventory in its distribution centers and the remaining 70% are stocked at its stores (Supply Chain Digest Home, 2008).
There are many benefits that the BIS can bring to an organization such as boost productivity, sales and market intelligence, the setting of more accurate and realistic goals, positive return on investments, gain insights into consumer behaviors, operational visibility and identification of key trends (Holley, A. 2015). Recommendations for developing and using the BIS described in this case, include the use of an effective BIS that incorporates different factors or circumstances in the internal and external environment of the organization such as sales, costs, weather, items or services offered by the company, and trends. Another reason to implement BIS is to reduce voluminous amounts of irrelevant data, poor data quality, and user resistance that affect the effectiveness of
Marketing Simulation Managing Segments and Customers A Reflective Essay Debanjan Mal As the newly appointed CEO of Minnesota Micromotors, I was responsible for designing and executing the company’s marketing strategy. This was my opportunity to integrate and apply the mantra of marketing that I have learnt during my course: “Create, communicate and deliver value to a target market at a profit”. Before I started the simulation, I needed to understand the big picture and try to figure out the following in order to come up with my marketing strategy and execute it during the simulation: • Understand the overall market and the competitive landscape where Minnesota Micromotors has to operate. • Understand my company’s marketing
Workers have to follow strict commands set by the government to make sure that the policy is implemented to practice the way it was set out to. The problem with this is that it leaves no place for flexibility. Discretion is one of the concepts that are crucial for a street-level bureaucrat to work effectively. As seen in this book, a bottom-up model is when the government set out policy which gives workers the freedom to implement it, allowing them to be flexible with the local needs. In terms of street-level bureaucrats, they are the experts in their fields and therefore have the most knowledge and can identify the best way to implement the policy.
Forecasting will allow the owner to better understand seasonal peaks and troughs, cost of sale and when to place an order for new stock. To be able to make predictions about the business, the owner will need information on fixed cost, variable costs, historical sales, new contracts and terminating contracts/ staff changes, industry trends, and competitor activity. As Dymocks will be just starting out, obtaining this data will be difficult. Dymocks will be able to develop a forecast analysis by looking at similar businesses, selling similar products in the same region.
10. Forecast the demand for Woody’s products, throughout the project’s life. 11. Ensure that the current production activities are not hampered, while the project activities are carried out. d.
Capacity planning This is the process of knowing the production capacity an organization needs to meet the changing demands for the products. It helps to determine the quantity of the product needed by a firm to meet the demands of its customers. The capacity planning elements for Walmart are; facility, product and service, and human resource.
This paper presents an overview of Kmart retail supply chain in New Zealand. Various IT systems and software used by Kmart are presented in this paper. The new IT systems and business applications are also proposed. In retail sector, IT is involved at every point right from supply chain management to POS terminals for transaction processing. Efficient use of technology and IT systems can bring innovation.
Fine Tuning the forecast The method used to forecast the expected sales lacks the input of external data like market condition (recession, boom etc), competitors, changing preferences, change in fashion, demographics etc. Only the internally available data has been used to estimate the demand for next period. The adjustments in the demand forecast can be made according to the following to reduce the chances of stock outs or over stocking: Market Condition:
The Value Chain 4 4. Operations Strategy Implications (Store level) 5 5. Inventory Management and Demand Forecasting 9 6. Supply Chain Management 9 7. Quality Management 11 8.
INTRODUCTION Burger KAMI fast food restaurant which served to prepare the burgers were different from those found in Malaysia. Burger was necessarily meet the aspiration of the people of Malaysia for meat produced meat to make hamburgers come from fresh meat. We produce our own beef burger with certain processes to be used as a meat burger. We have the concept of serving fast food to suit local tastes with fast and efficient service in a comfortable and relaxing environment. Our company will also sell fast food service, eco-friendly appeal to the price conscious, health-minded consumers.
In the early 2000s, The Boeing Company faced many challenges with increasing competition in the commercial aircraft market. To remain competitive, they began the development of their 787 Dreamliner aircraft using an unconventional approach in terms of supply chain management. The historical approach that Boeing used on previous aircraft designs required Boeing to procure raw materials and subassemblies from several different suppliers and manufacture the final assembly in house. Dreamliner sought out to be the first of Boeing 's kind to outsource 70 percent of its major subassemblies under a Partnering for Success initive (5) , leaving Boeing to assemble the final assembly performed in-house. Build airplanes the same way the automobile industry
Executive summary This report depicts the various stages of IKEA’s supply chain flow, providing an elaboration of processes that take place at each stage. It also shows the dependency of the stages and how information flows through the supply chain. After illustrating the supply chain flow process of IKEA, the report then moves on to analyze the company’s global supply chain strategies.
Burger King (BK) is an American global chain of hamburger fast food restaurants. Headquartered in the unincorporated area of Miami-Dade County, Florida, the company was founded in 1953. Burger King 's menu has expanded from a basic offering of burgers, French fries, sodas, and milkshakes to a larger and more diverse set of products. In 1957, the "Whopper" became the first major addition to the menu, and it has become Burger King 's signature product since.
Exercise 3 Introduction Push and pull are strategic supply chain decisions can that are as a results of the impacts of operational, product and demand related variables (Wanker and Zinn, 2004). The push strategy moves products based on planning or forecasting whereas the pull strategy moves products as a results of real demand (Ballou, 1992). Thus in a push system, the products are pushed through the supply chain channel right from production to the retailer. The manufacturer builds its production based on historical ordering patterns and forecasting. Due to this it takes a longer time for this system to respond to changes in demand which results in overstocking, bottlenecks and bullwhip effect in the system.