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Supply chain processes cells

Materials in the ADME/Tox screening process relate mainly to consumables (plastic ware, tips, plates, reagents, etc.) and the raw materials the tests will be performed on, which are plates with compounds and cells. To simplify the analysis, it is assumed that access to consumables is not a major issue, since these supplies can easily be ordered through the supply chain and are generally available to the personnel performing the test assays (Figures 1.4 to 1.7). [Pg.16]

Get to know your own DNA. Just as deoxyribonucleic acid (DNA) forms human cells with twisted strands of polymers forming a double helix, each item has its own DNA. You can only master the supply chain when you know each item s DNA. The twisted pairs or long polymers in the DNA cell makeup are replaced by demand and supply strands (representing the rhythms and cycles of demand and supply) in the supply chain. The processes of supply can only be effectively designed outside-in with a goal in mind (e.g., supply chain strategy). [Pg.193]

Representative product A typical product flowing through a process that is used as the basis for process design. The term is applied in developing manufacturing cells or maps of supply chains with many product variations. (The Bourton Group)... [Pg.548]

Consider a supply chain cell composed of an enterprise j, M upstream suppliers and O downstream customers, products manufactured by supplier m m e M) are raw materials for the enterprise j. The raw materials are processed into finished products by enterprise j and are sold directly to customer o (o e O). For the logistics planning of enterprise j, suppliers M and customers O, without considering the internal processes of each node enterprise, assume that the supply chain logistics planning of each node... [Pg.104]

In the hybrid intelligent algorithm, confidence level = 0.9, population size N = 90, crossover probability = 0.7, mutation probability p = 0.5, iteration times = 30,000, in the rank-based evaluation function a = 0.05, and the stochastic simulation times are 6000. Figure 5.8 shows the convergence process of the objective function. Table 5.9 illustrates the objective function value of core enterprise in each supply chain cell and the total profit of the supply chain within the computational layer. [Pg.124]

The selection need not be the same for all partners in the supply chain. For example, our Process could find cellular approaches of no value since it is relatively capital-intensive. A functional design around its core process is the best choice. Old Line may decide a product-centric arrangement makes the most sense, and High Tech might employ a customer-centric cell arrangement to cater to different requirements among its customer segments. [Pg.243]


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