Business Process Recomposition as a Way to Redesign Workflows Effectively

Wiśniewski, Piotr; Kluza, Krzysztof; Jemioło, Paweł; Ligęza, Antoni; Suchenia, Anna

doi:10.15439/2021f138

Cited by 3 publications

(1 citation statement)

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“…Several studies couple Business Process Management with CP. These typically focus on (complex) planning and scheduling problems and require the DM to describe the flow of the system in the CP model [14,31]. In contrast, this paper studies CP model that merely describe the problem to solve and do not require the DM to describe how the system operates.…”

Section: Closely-related Approachesmentioning

confidence: 99%

Flexible Enterprise Optimization with Constraint Programming

Andringa

Yorke-Smith

2022

Advances in Enterprise Engineering XV

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Simulation-optimization is often used in enterprise decisionmaking processes, both operational and tactical. This paper shows how an intuitive mapping from descriptive problem to optimization model can be realized with Constraint Programming (CP). It shows how a CP model can be constructed given a simulation model and a set of business goals. The approach is to train a neural network (NN) on simulation model inputs and outputs, and embed the NN into the CP model together with a set of soft constraints that represent business goals. We study this novel simulation-optimization approach through a set of experiments, finding that it is flexible to changing multiple objectives simultaneously, allows an intuitive mapping from business goals expressed in natural language to a formal model suitable for state-of-the-art optimization solvers, and is realizable for diverse managerial problems.

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Section: Closely-related Approachesmentioning

confidence: 99%