Agility chain

Poesche J (2001) Agile Produktion - Voraussetzungen fur das Supply Chain Management in der chemischen Industrie, FB/IE 2 65-70. 

Gottwald, E., Muller, O., Polten, A., Semiquantitative reverse transcription-polymerase chain reaction with the Agilent 2100 Bioanalyzer. Electrophoresis 2001, 22(18), 4016 1022. 

The so-called micro-total analytical systems (/tTAS) can integrate sample handling, separation, and detection on a single chip [9]. Postcapillary reaction detectors can be incorporated as well [10]. Fluorescence detection is the most common method employed for these chip-based systems. A commercial instrument (Agilent 2100 Bioanalyzer) is available for DNA and RNA separations on disposable chips using a diode laser for LIF detection. In research laboratories, polymerase chain reaction (PCR) has been integrated into a chip that provides size separation and LIF detection [11]. 

Chen, X., Chen, Q. X., and Zhang, P. (1999), A Strategy of Internet-Based Agile Manufacturing Chain, in Proceedings of the 15th International Conference on Production Research (Limerick, Ireland), pp. 1539-1542... 

Thus, the supply chain management through a multiagent system allows the creation of an agile network which reacts in real-time to customer demands, compared to traditional systems, where everything is decided before the client makes the request. 

Combined with the three leverage drivers of reliability, efficiency and logistic agility - sources of social, economic and environmental benefits - the eco-logistic lever strengthens the contribution of the supply chain to the social and environmental aspects of sustainable development. 

Today, it is focused on not just building chains but also on the design of agile networks. 

While companies attempted to implement best practices over the last 30 years, they are now grappling with the fact that many Y2K projects built an efficient supply chain without resiliency. These investments made the supply chain strong, but not agile. Today, most companies have processes that can respond, but cannot adapt. They are too rigid. They cannot sense and adapt to market shifts. This is the basis of the drive to create market-driven value networks. 

He continued, "It has been fonndational for our success. For most of our company s history our direct business model—and the agile supply chain that drove it— were key differentiators for Dell. Constant feedback from our customers, partners, and snppliers gave us the insight that we needed to fine-tune our operations and deliver only the products and services that our customers wanted."... 

Tried to get precise on imprecise data. Supply chains of the future will be based on ranges, they will dance agilely with error and adapt to changing supplier demands. The future is not the integrated supply chain instead, it is about new forms of predictive analytics to deal with uncertainty. 

Agriculture. These supply chains are driven by the dynamics of agricultural cycles—preparation, planting, harvest, and packaging—and weather. As a result, these supply chains need to be designed for agility around these four moments of truth. 

Consumer packaged goods (CPG). The most common type of CPG supply chain is based on flows turn volume, promoted volume, and new product introductions. Hirn volume (frequently ordered products with stable demand) supply chains are designed to drive an efficient response. Heavily promoted items require a responsive supply chain and new products need an agile supply chain. New product introductions introduce the greatest variability and risk. The challenge is adapting the supply chain over time as companies launch promotions and new products into the market. 

Pharmaceuticals. These supply chains are driven by usage. These companies often have three supply chains. There is a need for an efficient supply chain products that have low variability and stable demand. There are products in the innovation pipeline or in clinical trials that depend on an agile supply chain. There is also a need for a high volume supply chain with high variability. Why We will never be able to predict when the sun will shine for the sale of suntan lotion or when there will be a flu epidemic. 

Quadrant IV Agile Supply Chain Lean for Make to Qrder... 

---