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In commerce, supply chain management (SCM) is the management of the flow of goods and services including all processes that transform raw materials into final products between businesses and locations. This can include the movement and storage of raw materials, work-in-process inventory, finished goods, and end to end order fulfilment from the point of origin to the point of consumption. Interconnected, interrelated or interlinked networks, channels and node businesses combine in the provision of products and services required by end customers in a supply chain.
Material requirements planning (MRP) is a production planning, scheduling, and inventory control system used to manage manufacturing processes. Most MRP systems are software-based, but it is possible to conduct MRP by hand as well.
Kanban is a scheduling system for lean manufacturing. Taiichi Ohno, an industrial engineer at Toyota, developed kanban to improve manufacturing efficiency. The system takes its name from the cards that track production within a factory. Kanban is also known as the Toyota nameplate system in the automotive industry.
Operations management is an area of management concerned with designing and controlling the process of production and redesigning business operations in the production of goods or services. It involves the responsibility of ensuring that business operations are efficient in terms of using as few resources as needed and effective in meeting customer requirements.
Safety stock is a term used by logisticians to describe a level of extra stock that is maintained to mitigate risk of stockouts caused by uncertainties in supply and demand. Adequate safety stock levels permit business operations to proceed according to their plans. Safety stock is held when uncertainty exists in demand, supply, or manufacturing yield, and serves as an insurance against stockouts.
The business terms push and pull originated in logistics and supply chain management, but are also widely used in marketing and in the hotel distribution business.
The term demand chain has been used in a business and management context as contrasting terminology alongside, or in place of, "supply chain". Madhani suggests that the demand chain "comprises all the demand processes necessary to understand, create, and stimulate customer demand". Cranfield School of Management academic Martin Christopher has suggested that "ideally the supply chain should become a demand chain", explaining that ideally all product logistics and processing should occur "in response to a known customer requirement".
The bullwhip effect is a supply chain phenomenon where orders to suppliers tend to have a larger variability than sales to buyers, which results in an amplified demand variability upstream. In part, this results in increasing swings in inventory in response to shifts in consumer demand as one moves further up the supply chain. The concept first appeared in Jay Forrester's Industrial Dynamics (1961) and thus it is also known as the Forrester effect. It has been described as “the observed propensity for material orders to be more variable than demand signals and for this variability to increase the further upstream a company is in a supply chain”. Science at Stanford University helped incorporate the concept into supply chain vernacular using a story about Volvo. Suffering a glut in green cars, sales and marketing developed a program to sell the excess inventory. While successful in generating the desired market pull, manufacturing did not know about the promotional plans. Instead, they read the increase in sales as an indication of growing demand for green cars and ramped up production.
Demand-chain management (DCM) is the management of relationships between suppliers and customers to deliver the best value to the customer at the least cost to the demand chain as a whole. Demand-chain management is similar to supply-chain management but with special regard to the customers.
A blanket order, blanket purchase agreement or call-off order is a purchase order which a customer places with its supplier to allow multiple delivery dates over a period of time, often negotiated to take advantage of predetermined pricing. It is normally used when there is a recurring need for expendable goods. Blanket orders are often used when a customer buys large quantities and has obtained special discounts. Based on the blanket order, sales orders and invoice items can be created as needed until the contract is fulfilled, the end of the order period is reached or a pre-determined maximum order value is reached.
DIFOT or OTIF is a measurement of logistics or delivery performance within a supply chain. Usually expressed as a percentage, it measures whether the supply chain was able to deliver:
Order fulfillment is in the most general sense the complete process from point of sales inquiry to delivery of a product to the customer. Sometimes, it describes the more narrow act of distribution or the logistics function. In the broader sense, it refers to the way firms respond to customer orders.
Supply-chain operations reference (SCOR) model is a process reference model developed and endorsed by the Supply-Chain Council as the cross-industry, standard diagnostic tool for supply chain management. The SCOR model describes the business activities associated with satisfying a customer's demand, which include plan, source, make, deliver, return and enable. Use of the model includes analyzing the current state of a company's processes and goals, quantifying operational performance, and comparing company performance to benchmark data. SCOR has developed a set of metrics for supply chain performance, and Supply Chain Council members have formed industry groups to collect best practices information that companies can use to elevate their supply chain models.
Production leveling, also known as production smoothing or – by its Japanese original term – heijunka (平準化), is a technique for reducing the mura (unevenness) which in turn reduces muda (waste). It was vital to the development of production efficiency in the Toyota Production System and lean manufacturing. The goal is to produce intermediate goods at a constant rate so that further processing may also be carried out at a constant and predictable rate.
Backflush accounting is a subset of management accounting focused on types of "postproduction issuing;" It is a product costing approach, used in a Just-In-Time (JIT) operating environment, in which costing is delayed until goods are finished. Backflush accounting delays the recording of costs until after the events have taken place, then standard costs are used to work backwards to 'flush' out the manufacturing costs. The result is that detailed tracking of costs is eliminated. Journal entries to inventory accounts may be delayed until the time of product completion or even the time of sale, and standard costs are used to assign costs to units when journal entries are made. Backflushing transaction has two steps: one step of the transaction reports the produced part which serves to increase the quantity on-hand of the produced part and a second step which relieves the inventory of all the component parts. Component part numbers and quantities-per are taken from the standard bill of material (BOM). This represents a huge saving over the traditional method of a) issuing component parts one at a time, usually to a discrete work order, b) receiving the finished parts into inventory, and c) returning any unused components, one at a time, back into inventory.
A master production schedule (MPS) is a plan for individual commodities to be produced in each time period such as production, staffing, inventory, etc. It is usually linked to manufacturing where the plan indicates when and how much of each product will be demanded. This plan quantifies significant processes, parts, and other resources in order to optimize production, to identify bottlenecks, and to anticipate needs and completed goods. Since a MPS drives much factory activity, its accuracy and viability dramatically affect profitability. Typical MPSs are created by software with user tweaking.
Demand Flow Technology (DFT) is a strategy for defining and deploying business processes in a flow, driven in response to customer demand. DFT is based on a set of applied mathematical tools that are used to connect processes in a flow and link it to daily changes in demand. DFT represents a scientific approach to flow manufacturing for discrete production. It is built on principles of demand pull where customer demand is the central signal to guide factory and office activity in the daily operation. DFT is intended to provide an alternative to schedule-push manufacturing which primarily uses a sales plan and forecast to determine a production schedule.
The DR-DP-Matrix summarizes the main methods to measure delivery reliability (DR) and delivery performance (DP) within supply chains. It categorizes the methods by three criteria:
- Type of reference: First Confirmed Date (FCD) / Last or Best Confirmed Date / Customer Request Date (CRD)
- Type of measurement: Volume (V) / Singular(S)
- Type of view: On Time (T) / Delivery (D)
A demand signal is a message issued within business operations or within a supply chain to notify a supplier that goods are required, and is, therefore, a key item of information for demand planners within a business.
Cumulative quantities are a concept in logistics that involves adding up required materials quantities over a defined time-window that can be drawn as a 'cumulative curve'. This concept is applied in serial production and mainly used in the automotive industry to plan, control and monitor production and delivery. The concept is sometimes called 'Cumulative Production Figures Principle' (CPGP).