Expert Systems with Applications, Год журнала: 2024, Номер 255, С. 124735 - 124735

Опубликована: Июль 9, 2024

Designing and operating production systems keeping them up to date at the speed of innovation meet competition, consumer trends sustainability requirements is a challenging task. The problem becomes even more when system highly uncertain data-poor. This complexity increasingly recognised, as value that risk engineering can bring design, operation, maintenance upgrading avoid compromising their viability ensure continued efficiency. manuscript guided by this challenge has twofold objective. First, it analyses explains importance adopting logic-driven simulation-based approach support decision-making. objective achieved going root methodological constructs characterise methodologies available in literature highlighting main limitations. Second, applies HoRAM method use case food banks verify its suitability. was chosen because characterised unusual uncertainties compared conventional (such uneven labour raw material availability). contributions research are follows. provides critical analysis currently assessment methodologies. It highlights weaknesses implications these for decision support. concerns development complete process, offering an goes beyond approaches stop identification elements associated with hand. closing loop quantitatively verifying efficiency identified mitigation solutions, thus moving from engineering. results suggest proposed suitable supporting complex decision-making processes high uncertainty data scarcity. Furthermore, due nature approach, non-experts be involved contribute risks. allows increase situational awareness makers consequently making decisions.

Язык: Английский