Product Pipeline Management

For a pair of scenarios ( -, g ) that become distinguishable in period the decisions V in previous periods (t must be the same (see Appendix A.6). In this case, represents the period when these scenarios become distinguishable. This non-anticipativity condition can be expressed as follows  

Equation (3.1) is to track completion of clinical trials. This is compulsory in order to define the non-anticipativity constraints. Variable i2ictg indicates the periods 

Pair of scenarios Differentiating clinical trial Pair of scenarios Differentiating clinical trial  

Equation (3.2) assures that no clinical trial c can be executed more than once. Also, phase c clinical trial cannot start until phase c — 1 is completed. This condition is expressed in Eq.(3.3). 

Product development resource utilization is modeled using Eq. (3.4). Here, and Capjrd represent the resources dedicated to product development and their corresponding maximum capacity per period, respectively. To go on, indicates the resource j utilization factor for product i phase c clinical trial. 

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Oil products pipeline scheduling with tank farm inventory management... 

Keywords Oil products pipeline, inventory management, MILP, continuous time... 

Oil Products Pipeline Scheduling with Tank Farm Inventory Management... 

Process development follows an overall development plan that coordinates all the various disciplines involved. It is typically performed in three cycles to allocate resources and thus manage product pipelines efficiently, and involves a scale-up of up to 1000-fold and more [128]. During the exploratory phase, a research method is used to generate small amounts of the respective MAbs to investigate target-specific effects in-vitro. Important technical goals at this stage are feasibility and speed. 

Techniques for coordinating new product development and supply chain management the approaches cover both existing and new product pipelines... 

The two enterprise-wide decision problems that have received lately most attention have been SCM and product development pipeline management (PDPM). SCM addresses the design and operational issues associated with the network with which an enterprise delivers its products to the marketplace, while PDPM addresses the set of decisions associated with turning a new discovery into a product and introducing it into the corporation s SC (Varma et al. 2007). Their successful solution has a direct impact on the viability of the enterprise. Ideally, all these decisions need to be coordinated. However, this is often not the case, leading to suboptimal portfolios and ineffective utilization of capital and R D resources (Varma et al. 2007). 

The Optimal Condition Decomposition (OCD), which is a particular case of the Lagrangian relaxation procedure, is applied to overcome the computational cost of solving the monolithic problem, which integrates SC design-retrofitting and product development pipeline management formulations. Further details about this decomposition strategy can be found in Appendix A.7.1. 

The catalyst preparation area is positioned between the two polyethylene production units with 60 feet separating each one. The aluminum alkyls storage canopy and isopentane horizontal storage tank are located at a remote area at an approximate distance of 250 feet away from the production and utility areas. The isopentane is transported to the catalyst preparation area through a 3-inch pipeline. A remote actuated isolation valve on this supply line that fails closed is located at the isopentane storage tank. This control valve and an associated isopentane feed pump are managed by the operator in the control room. 

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