Design networks Product-based

While these studies have shown that polyaniline- and polypyrrole-coated fabrics can behave as chemi-resistive sensors, it is also expected that similar chemi-resistive behavior will be achieved using ICP monofilaments and yams, which are woven or stitched into an existing fabric. Ultimately, vapor detection fabric will need to comprise of an array of sensors with the patterned response fed into a microprocessor in order to identify and determine the concentration of the vapor. The relatively low cost of production and subsequent processing of these electrically conductive fabrics provide the opportunity for designing a textile-based electronic nose, which possess built-in massive redundancy for the sensor array so that device will still function even if there is a localized break (rip, tear hole, etc.) in the fabric network. Specifically, in case some area of the sensor system fads, there is a massive redundancy in the garment such that other areas may stdl be able to acquire the information. This will greatly increase the rehabdity of the system. 

Designing a distribution network involves making a large number of decisions. Different researchers, such as Bachlaus et al. (2008), Portillo-Bollat (2008), and Solo (2009), among others, have already considered many of these aspects in the distribution network design process, mostly based on the number of warehouses and plants needed and their locations, production and inventory levels, and optimal routing plans. Supply chain optimization or distribution network optimization is the term used for most models that pretend to solve these decision-making problems. The research in supply chain optimization is very broad nowadays, but a small review on research related to this chapter is presented in this section. 

Bags of various constmctions are used in the storage and transportation of dry chemicals. The choice of which type of bag to use should be based on the needs of the product for adequate protection and the requirements of the distribution network. To a certain degree, bags can be custom-made for a particular product indeed, almost any shipping requirement can be satisfied by one of many combinations of paper, plastic, and natural fibers incorporated in the design of bags. 

From the refinery side, the proposed model will provide the optimal network integration between the refineries, process expansion requirements, operating policy based on different feedstock combination alternatives, process levels and operating modes. On the petrochemical side, the model will establish the design of an optimal petrochemical process network for the production of PVC from the range of process technologies and feedstocks available to satisfy a given demand. 

This chapter addresses the planning, design and optimization of a network of petrochemical processes under uncertainty and robust considerations. Similar to the previous chapter, robustness is analyzed based on both model robustness and solution robustness. Parameter uncertainty includes process yield, raw material and product prices, and lower product market demand. The expected value of perfect information (EVPI) and the value of the stochastic solution (VSS) are also investigated to illustrate numerically the value of including the randomness of the different model parameters. 

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