Planning and scheduling in the process industry

Kallrath, Josef

doi:10.1007/978-3-662-05607-3_2

Cited by 101 publications

(159 citation statements)

References 41 publications

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“…As mentioned by Kallrath 9 they often display many degeneracies or symmetries leading to poor computational performances when postulating a large number of time intervals or events.…”

Section: Introductionmentioning

confidence: 99%

A Novel Priority-Slot Based Continuous-Time Formulation for Crude-Oil Scheduling Problems

Mouret

Grossmann

Pestiaux

2009

Ind. Eng. Chem. Res.

105

170

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The optimal scheduling of crude-oil operations in refineries has been studied by various groups during the past decade leading to different mixed integer linear programming (MILP) or mixed integer nonlinear programming (MINLP) formulations. This paper presents a new continuous-time formulation, called single-operation sequencing (SOS) model, which can be used to solve the crude-oil operations problem introduced by Lee et al. 1 . It is different from previous formulations as it requires to postulate the number of priority-slots in which operations take place instead of specifying the number of time intervals or event points to be used in the schedule. This MINLP model is also based on the representation of a crude-oil schedule by a single sequence of transfer operations. It allows breaking symmetries involved in the problem, thus tremendously reducing the computational expenses (all instances can be solved within 2 minutes). A simple two step MILP -NLP procedure has been used to solve the non-convex MINLP model leading to an optimality gap lower than 5% in all cases.

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“…As mentioned by Kallrath 9 they often display many degeneracies or symmetries leading to poor computational performances when postulating a large number of time intervals or events.…”

Section: Introductionmentioning

confidence: 99%

A Novel Priority-Slot Based Continuous-Time Formulation for Crude-Oil Scheduling Problems

Mouret

Grossmann

Pestiaux

2009

Ind. Eng. Chem. Res.

105

170

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“…Continuous systems, which conduct mass production of relatively limited numbers of products, utilize special purpose equipment as found in such industries as textiles, food and beverage, and steel and aluminum processing. Batch production systems, which produce small amounts of a variety of products, use multi-purpose equipment [51]. For firms in these process-based industries, their technological capabilities are seldom revealed by only the products/services they offer.…”

Section: Internal Technological Capabilities In Energy Generation Andmentioning

confidence: 99%

Evaluating Internal Technological Capabilities in Energy Companies

Lee

2016

Energies

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Abstract:As global competition increases, technological capability must be evaluated objectively as one of the most important factors for predominance in technological competition and to ensure sustainable business excellence. Most existing capability evaluation models utilize either quantitative methods, such as patent analysis, or qualitative methods, such as expert panels. Accordingly, they may be in danger of reflecting only fragmentary aspects of technological capabilities, and produce inconsistent results when different models are used. To solve these problems, this paper proposes a comprehensive framework for evaluating technological capabilities in energy companies by considering the complex properties of technological knowledge. For this purpose, we first explored various factors affecting technological capabilities and divided the factors into three categories: individual, organizational, and technology competitiveness. Second, we identified appropriate evaluation items for each category to measure the technological capability. Finally, by using a hybrid approach of qualitative and quantitative methods, we developed an evaluation method for each item and suggested a method to combine the results. The proposed framework was then verified with an energy generation and supply company to investigate its practicality. As one of the earliest attempts to evaluate multi-faceted technological capabilities, the suggested model can support technology and strategic planning.

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“…Process planning and scheduling has been an area of much interest for industry and research over the past decades [2,[230][231][232]. Although the boundary between planning and scheduling is sometimes nor clear, time scale provides a distinction between the two.…”

Section: Planning and Schedulingmentioning

confidence: 99%

“…A review of planning and scheduling in the process industry is provided by Kallrath [231]. Models and techniques to integrate planning and scheduling have also receive attention in recent years [233].…”

Section: Planning and Schedulingmentioning

confidence: 99%

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Trespalacios

Grossmann

2014

Chemie Ingenieur Technik

151

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This work presents a review of the applications of mixed-integer nonlinear programming (MINLP) in process systems engineering (PSE). A review on the main deterministic MINLP solution methods is presented, including an overview of the main MINLP solvers. Generalized disjunctive programming (GDP) is an alternative higher-level representation of MINLP problems. This work reviews some methods for solving GDP models, and techniques for improving MINLP methods through GDP. The paper also provides a high-level review of the applications of MINLP in PSE, particularly in process synthesis, planning and scheduling, process control and molecular computing.

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Planning and scheduling in the process industry

Cited by 101 publications

References 41 publications

A Novel Priority-Slot Based Continuous-Time Formulation for Crude-Oil Scheduling Problems

A Novel Priority-Slot Based Continuous-Time Formulation for Crude-Oil Scheduling Problems

Evaluating Internal Technological Capabilities in Energy Companies

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

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