Optimization of Engineering Design Cycles in Enterprise Integration

Choinski, Dariusz; Skupin, Piotr; Ernest, Szajna

doi:10.1007/978-3-642-40840-3_22

Cited by 3 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the designing process is cyclically repeated as shown in Figure 1, which is time consuming and generates excessive costs. Moreover, the required teams of interdisciplinary experts are rarely created due to the financial constraints (Choinski et al, 2013).…”

Section: Background and The Problem Statementmentioning

confidence: 99%

“…Conflicts between the experts; Difference between the time-determined models used in the control theory and the logic-centered models used in the agent systems; Figure 1. Engineering cycles of large-scale control system (Choinski et al, 2013; the stages that are strictly related to the development of the control system are distinguished by double circles; the grey arrows represent the interactions between technological requirements and automation systems).…”

Section: Challengesmentioning

confidence: 99%

“…Engineering cycles of large-scale control system (Choinski et al, 2013; the stages that are strictly related to the development of the control system are distinguished by double circles; the grey arrows represent the interactions between technological requirements and automation systems).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Agent-based approach to continuous process control for enabling parallelization of engineering cycles

Polaków

Czeczot

Laszczyk

2017

Concurrent Engineering

View full text Add to dashboard Cite

Modern manufacturing and production systems have growing demands in energy and cost savings, which can be ensured using more advanced control algorithms at the regulatory-level industrial control loops. However, developing such algorithms requires case-dependent approach that involves complex mathematics and expertise in various fields of technology and engineering. Gathering all the needed experts to conduct the control system engineering cycle is nearly impossible for organizational and economic reasons. Thus, in this work, it is proposed to employ an agent-based approach, which is substantially different than the conventional engineering cycles for developing the static control system. The idea is to split the entire control design procedure into smaller tasks of developing the modules (i.e. agents), which encapsulate the expert knowledge (e.g. on sensor failure detection, input signal modelling and estimation). It enables clear division of the competences between the experts and allows for dynamic inclusion of the expert knowledge into the newly designed or already existing system. Therefore, the expertise may be distributed both in location and in time, which stands in contradiction to the static approach based on sequential engineering cycles.

show abstract

Section: Background and The Problem Statementmentioning

confidence: 99%

Section: Challengesmentioning

confidence: 99%