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An industry value-chain is a physical representation of the various processes involved in producing goods (and services), starting with raw materials and ending with the delivered product (also known as the supply chain). It is based on the notion of value-added at the link (read: stage of production) level.
In supply chain management, the Kraljic matrix (or Kraljic model) is a method used to segment the purchases or suppliers of a company by dividing them into four classes, based on the complexity (or risk) of the supply market (such as monopoly situations, barriers to entry, technological innovation) and the importance of the purchases or suppliers (determined by the impact that they have on the ...
Value-stream mapping has supporting methods that are often used in lean environments to analyze and design flows at the system level (across multiple processes).. Although value-stream mapping is often associated with manufacturing, it is also used in logistics, supply chain, service related industries, healthcare, [5] [6] software development, [7] [8] product development, [9] project ...
For example, if the product sold in a retailer's outlet is received from one of its distribution centers, the distribution center represents one echelon of the supply chain and the outlet another one. It should be clear that the amount of stock needed at the outlets is a function of the service received from the distribution center.
Supply-chain management (SCM) has become increasingly relevant in theory and practice in light of more-complex supply chains. The SCM performs extensive operational tasks, including supply-chain controlling. Seuring [1] transfers the three main concepts of German supply chain-controlling literature into the specific demands of SCM:
The business model canvas is a strategic management template that is used for developing new business models and documenting existing ones. [2] [3] It offers a visual chart with elements describing a firm's or product's value proposition, [4] infrastructure, customers, and finances, [1] assisting businesses to align their activities by illustrating potential trade-offs.
Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. [1] DEA has been applied in a large range of fields including international banking, economic sustainability, police department operations, and logistical applications [2] [3] [4] Additionally, DEA has been used to assess the performance of natural language ...
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