Improved Unit-Specific Event-Based Continuous-Time Model for Short-Term Scheduling of Continuous Processes:  Rigorous Treatment of Storage Requirements

2007 ◽  
Vol 46 (6) ◽  
pp. 1764-1779 ◽  
Author(s):  
Munawar A. Shaik ◽  
Christodoulos A. Floudas
Keyword(s):  
Continuous Time ◽  
Short Term ◽  
Continuous Time Model ◽  
Time Model ◽  
Continuous Processes ◽  
Specific Event ◽  
Rigorous Treatment ◽  
Event Based

scholarly journals Unit-Specific Event-Based and Slot-Based Hybrid Model Framework with Hierarchical Structure for Short-Term Scheduling

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Yue Wang ◽  
Hongye Su ◽  
Hanshan Shao ◽  
Lei Xie
Keyword(s):  
Hybrid Model ◽  
Hierarchical Structure ◽  
Continuous Time ◽  
Production Scheduling ◽  
Lower Layer ◽  
Short Term ◽  
Model Framework ◽  
Time Model ◽  
Specific Event ◽  
Event Based

Unit-specific event-based continuous-time model has inaccurate calculation problems in involving resource constraints, due to the heterogeneous locations of the event points for different units. In order to address this limitation, a continuous-time unit-specific event-based and slot-based hybrid model framework with hierarchical structure is proposed in this work. A unit-specific event-based model without utility constraints is formulated in upper layer, and a slot-based model is introduced in lower layer. In the hierarchical structure, the two layers jointly address the short-term production scheduling problem of batch plants under utility consideration. The key features of this work include the following: (a) eliminating overstrict constraints on utility resources, (b) solving multiple counting problems, and (c) considering duration time of event points in calculating utility utilization level. The effectiveness and advantages of proposed model are illustrated through two benchmark examples from the literatures.

Establishment about Short-Term Demand Predictive Model of Automobile — Based on Extensive Correlation Evaluation and Continuous Time Model

2013 ◽  
Vol 712-715 ◽  
pp. 3123-3128
Author(s):  
Tao Chen ◽  
Zhi Ming Zhu ◽  
Tian Miao Shen
Keyword(s):  
Time Series ◽  
Predictive Model ◽  
Continuous Time ◽  
Short Term ◽  
Continuous Time Model ◽  
Time Model ◽  
Single Time ◽  
Automobile Demand ◽  
Definition Of

The previous models of automobile short-term demand were mainly for single time series. For this disadvantage, the definition of extensive correlation evaluation was proposed, and then the method was discussed to reflect the correlation of factors on automobile demand. Utilizing extensive skills, factors and sub-factors were represented as correlation eigenmatrix which could ensure the level of each factors influences on automobile demand. Accordingly, short-term demand predictive model of automobile was established based on continuous time model.

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