Solution Methodology for Scheduling Problems in Batch Plants

Moniz, Samuel; Barbosa‐Póvoa, Ana Paula; Sousa, Jorge Pinho de; Duarte, Pedro

doi:10.1021/ie403129y

Cited by 17 publications

(7 citation statements)

References 56 publications

(96 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The increasing complexity in managing batch/continuous processes caught the interest of the research community to develop efficient modelling approaches to promote operational performance. Several industrial applications of scheduling models have been quite successfully implemented, as stated by Harjunkoski et al (2014) and Moniz et al (2014b). Still, despite the major research developments reported in the literature, the implementation of such models to solve real industrial problems often stumbles, in either modelling specific operational requirements or tackling large planning horizons, constrained by the inherent computational complexity.…”

Section: Introductionmentioning

confidence: 99%

Optimal planning and campaign scheduling of biopharmaceutical processes using a continuous-time formulation

Vieira

Pinto‐Varela

Moniz

et al. 2016

Computers & Chemical Engineering

Self Cite

View full text Add to dashboard Cite

a b s t r a c tThis work addresses the optimal planning and campaign scheduling of biopharmaceutical manufacturing processes, considering multiple operational characteristics, such as the campaign schedule of batch and/or continuous process steps, multiple intermediate deliveries, sequence dependent changeovers operations, product storage restricted to shelf-life limitations, and the track-control of the production/campaign lots due to regulatory policies. A new mixed integer linear programing (MILP) model, based on a Resource Task Network (RTN) continuous time single-grid formulation, is developed to comprise the integration of all these features. The performance of the model features is discussed with the resolution of a set of industrial problems with different data sets and process layouts, demonstrating the wide application of the proposed formulation. It is also performed a comparison with a related literature model, showing the advantages of the continuous-time approach and the generality of our model for the optimal production management of biopharmaceutical processes.

show abstract

Section: Introductionmentioning

confidence: 99%

Optimal planning and campaign scheduling of biopharmaceutical processes using a continuous-time formulation

Vieira

Pinto‐Varela

Moniz

et al. 2016

Computers & Chemical Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…The majority of the operations taking place in these facilities are batch, as there is a high necessity to ensure the quality of the final products. Moniz et al [81] motivated by a real-world scheduling problem of a chemical-pharmaceutical industry, developed a case-specific discrete-time MILP scheduling model, for batch plants. All the data used by the mathematical formulation, is taken automatically from a decision-making tool and a process representation, developed as a prototype in Microsoft Visio.…”

Section: Pharmaceutical Industriesmentioning

confidence: 99%

Optimization-Based Scheduling for the Process Industries: From Theory to Real-Life Industrial Applications

2019

View full text Add to dashboard Cite

Scheduling is a major component for the efficient operation of the process industries. Especially in the current competitive globalized market, scheduling is of vital importance to most industries, since profit margins are miniscule. Prof. Sargent was one of the first to acknowledge this. His breakthrough contributions paved the way to other researchers to develop optimization-based methods that can address a plethora of process scheduling problems. Despite the plethora of works published by the scientific community, the practical implementation of optimization-based scheduling in industrial real-life applications is limited. In most industries, the optimization of production scheduling is seen as an extremely complex task and most schedulers prefer the use of a simulation-based software or manual decision, which result to suboptimal solutions. This work presents a comprehensive review of the theoretical concepts that emerged in the last 30 years. Moreover, an overview of the contributions that address real-life industrial case studies of process scheduling is illustrated. Finally, the major reasons that impede the application of optimization-based scheduling are critically analyzed and possible remedies are discussed.

show abstract

“…Globally, the time-to-market issue and the pressure to reduce costs are imposing operations to run more efficiently and therefore advanced planning and scheduling methods are necessary (Moniz et al, 2014). First of all the pharmaceutical market is highly fragmented.…”

Section: Marketmentioning

confidence: 99%

On the complexity of production planning and scheduling in the pharmaceutical industry: the Delivery Trade-offs Matrix

Moniz

Barbosa‐Póvoa

Sousa

2015

12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering

Self Cite

View full text Add to dashboard Cite

The manufacturing of pharmaceutical products is preceded by complex development phases where process design, planning, and scheduling problems must be considered as deeply linked, fact that has not yet been adequately handled by the existing literature. In this perspective, this work discusses the role of the production planning and scheduling decisions in the pharmaceutical industry. It starts by analysing the main aspects that influence planning and scheduling, and defines an extended scope of the related problems, as a way to account for higher levels of integration between process design and operational decisions. We propose a novel conceptual representation, the Delivery Trade-offs Matrix (DTM) to help managing the trade-offs occurring in the drug development process and to expose the factors that affect the performance of these manufacturing systems.

show abstract

Solution Methodology for Scheduling Problems in Batch Plants

Cited by 17 publications

References 56 publications

Optimal planning and campaign scheduling of biopharmaceutical processes using a continuous-time formulation

Optimal planning and campaign scheduling of biopharmaceutical processes using a continuous-time formulation

Optimization-Based Scheduling for the Process Industries: From Theory to Real-Life Industrial Applications

On the complexity of production planning and scheduling in the pharmaceutical industry: the Delivery Trade-offs Matrix

Contact Info

Product

Resources

About