.png){kind=icon}
.png){kind=icon}
Return
Solution Methodology for Scheduling Problems in Batch Plants
.png){kind=icon}
OA
AI
DOI：10.1021/ie403129y.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper proposes a solution methodology for the production scheduling of batch plants. The methodology is defined by an integrated approach that simultaneously considers the representation of the scheduling problem, the optimization model, and the decision-making process. A problem representation and a mixed integer linear programing (MILP) model are developed and applied to solve a real world scheduling problem from the chemical-pharmaceutical industry. The main advantage of this approach is that it includes a general process representation that can be used across several departments of the company. Moreover, we also discuss development and implementation challenges of optimization methods for the process industry, and we provide some guidelines to mitigate existing problematic issues in this domain.
Keywords:
CONTINUOUS-TIME FORMULATION
GENERAL FRAMEWORK
DESIGN
ALGORITHM
MODEL
DISCRETE
INFRASTRUCTURE
OPTIMIZATION
PERSPECTIVES
UNCERTAINTY
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
I
IF:
3.9
Papers:
4.0W
Citations:
9.6W
View more organizations