Optimal Scheduling of Multiproduct Batch Processes for Various Intermediate Storage Policies

Kim, Minseok; Jung, Jae Hak; Lee, In‐Beum

doi:10.1021/ie9601817

Cited by 58 publications

(32 citation statements)

References 6 publications

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“…14 The underlying process models may include supply chains and packing operations, 15 stock policy, 10 and wastewater treatment. 16 The design and control variables reach from process capacity, 17 maintenance policy, 18 production schedule, 19 solvent selection, 20 process concepts, 4 over process flexibility, 21 to two-and threedimensional layout planning 22,23 for the process and the plant structure.…”

Section: Optimization Under Uncertaintymentioning

confidence: 99%

Dealing with Risk in Development Projects for Chemical Products and Processes

Bode

Schomäcker

Hungerbühler

et al. 2007

Ind. Eng. Chem. Res.

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Decision-making and optimization approaches in chemical product/process design often incorporate probability distributions to express uncertainty about the underlying data. We will show in this paper that probabilities are subjective, that they are caused by the decision makers' lack of confidence in the underlying knowledge, and that the shape of the distribution is affected by psychological input factors. Furthermore, distributions do not necessarily express the range of possible values but rather express the values that are perceived to be possible. Decisions based on distributions can, therefore, be wrong. Screening literature, however, reveals that the origin of risk and uncertainty is not fully understood and should be discussed. To close this gap, we explain where risk, distributions, and probabilities come from. On the basis of these insights, we provide a new optimization framework that describes a process of systematically identifying the optimum alternative by stepwise resolving uncertainty. Finally, we apply the optimization methodology on a case study.

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Section: Optimization Under Uncertaintymentioning

confidence: 99%

Dealing with Risk in Development Projects for Chemical Products and Processes

Bode

Schomäcker

Hungerbühler

et al. 2007

Ind. Eng. Chem. Res.

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show abstract

“…For comparison we include the results from Kim et al [4], where similar problem with 8 products on 4 processing units was solved on IBM RS/6000 workstation using DICOPT++, and compare these results to performance of our program on this problem. The algorithm is simple enough to be implemented as compiled program written in Borland Turbo Pascal.…”

Section: Solution Optimality and Algorithm Performancementioning

confidence: 99%

Application of Genetic Algorithms to Chemical Flowshop Sequencing

Poživil¹,

Žd’ánský²

2001

Chem. Eng. Technol.

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“…From this point of view, FIS includes both UIS and NIS policies. In addition, the MIS policy can be understood as the FIS system with ZW blocks inserted (Kim et al, 1996).…”

Section: Introductionmentioning

confidence: 99%

“…Production scheduling is an important area in chemical engineering, and it has received significant attention (Reklaitis, 1991;Shah, 1998;Pinto and Grossmann, 1998 (Kim et al, 1996;Jung et al, 1996;Karimi, 1988, 1990). However, very little attention has been paid to the multipurpose case when the FIS or CIS policy is contemplated.…”

Section: Introductionmentioning

confidence: 99%