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Network planning

The "Plant Life Assessment Network (PLAN) mentioned first is a network promoted by the Commission to coordinate research funded under the EU Programmes in the area of Plant Life Assessment. This network therefore acts as a coordinating forum for both projects and the other networks mentioned, and will be described in further details below. [Pg.933]

The "Plant Life Assessment Network" (PLAN), was started on the 1/12/1997, established around EU funded research projects working in the area of inspection, instrumentation, monitoring, structural mechanics and maintenance. [Pg.933]

In SAP APO, the master planning process is implemented in the Supply Network Planning (SNP) module. SNP offers a multitude of functionalities, not all of which can be described in the limited scope of this chapter. More details on the SNP module can be found, among others, in [10]. [Pg.248]

Integration of Supply Network Planning and Production Planning and Detailed Scheduling... [Pg.252]

The challenge in supply planning is that specifically the available production quantities per month can depend on the schedule of the products on a specific resource if change-overs consume significant time so that the overall capacity error in die rough-cut master plan would not be acceptable. Therefore, supply network planning includes also the aspect of hierarchical planning, where production quantities based on a discrete monthly... [Pg.124]

Gupta/Maranas (2003) as one example for a demand uncertainty model present a demand and supply network planning model to minimize costs. Production decisions are made here and now and demand uncertainty is balanced with inventories independently incorporating penalties for safety stock and demand violations. Uncertain demand quantity is modeled as normally distributed random variables with mean and standard deviation. The philosophy to have one production plan separated from demand uncertainty can be transferred to the considered problem. Penalty costs for unsatisfied demand and normally distributed demand based on historical data... [Pg.128]

Wasner M, Zapfel G (2003) An integrated multi-depot hub-location vehicle routing model for network planning of parcel service. International Journal of Production Economics 90 403-419... [Pg.278]

The above discussion shows the importance of petrochemical network planning in process system engineering studies. In this chapter we develop a deterministic strategic planning model of a network of petrochemical processes. The problem is formulated as a mixed-integer linear programming model with the objective of maximizing the added value of the overall petrochemical network. [Pg.83]

The remainder of this Chapter is organized as follows. In Section 8.2 we will discuss model formulation for petrochemical network planning under uncertainty and with uncertainty and risk consideration, referred to as robust optimization. Then we will briefly explain the concept of value of information and stochastic solution, in Section 8.3. In Section 8.4, we will illustrate the performance of the model through an industrial case study. The chapter ends with concluding remarks in Section 8.5. [Pg.162]


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Integration of Production Network Design into Strategic Planning

Mixed petrochemical network planning

Multisite network planning

Petrochemical network planning

Planning multisite refinery network

Planning sewer networks (surge tanks, lagoons)

Production Network Design and Advanced Planning Systems

Production Network Planning Process

Production Network Planning and Controlling

Robust Planning for Petrochemical Networks

Robust Planning of Multisite Refinery Network

Supply network planning

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