The purpose of this study was to examine the perceptions of working women when they announce their pregnancies, take maternity leave, transition back to work, and utilize flexible work policies. Using a qualitative methodology, transcripts of in-depth interviews were analyzed utilizing a life history approach. Key findings of the study are that women perceive more negative responses to the announcement of their pregnancies than positive ones. In terms of maternity and parental leave policies, all the participants had access to these benefits. Women found issues with financial adequacy, administration, and duration of these policies. Mothers found that financial support from the Canadian government was inadequate to allow them to take the full duration of the 52-week maternity and parental leave for which they were eligible. In addition, employer “top-up” payments were limited and administrative details of maternity leave were often not discussed fully with pregnant workers. When women returned to work, they found that workplaces did not offer resources such as a phased-in return to work or personnel to help them re-engage with their prior work projects. Women discussed the challenges of managing their dual roles of worker and mother and found that managers and coworkers put them in a mommy mould which lessened the quality of their assignments. New mothers found that they had difficultly juggling their work and home responsibilities, finding time for themselves, and receiving increased domestic support from their spouses. While some workplaces offered women flexible workplace policies, not all mothers chose to access them as they found these policies often negatively impacted their career progression. Other issues were a lack of flexible workplace policy transparency, inconsistent manager support, and difficulty maintaining a flexible schedule. Findings have major implications for an improved response from managers upon pregnancy announcement, improved dialogue among employers about increasing “top up” maternity leave pay to new mothers, developing a formal transition plan for new mothers returning to the workplace, and expanding the use of flexible workplace policies.

The purpose of this study was to examine the perceptions of working women when they announce their pregnancies, take maternity leave, transition back to work, and utilize flexible work policies. Using a qualitative methodology, transcripts of in-depth interviews were analyzed utilizing a life history approach. Key findings of the study are that women perceive more negative responses to the announcement of their pregnancies than positive ones. In terms of maternity and parental leave policies, all the participants had access to these benefits. Women found issues with financial adequacy, administration, and duration of these policies. Mothers found that financial support from the Canadian government was inadequate to allow them to take the full duration of the 52-week maternity and parental leave for which they were eligible. In addition, employer “top-up” payments were limited and administrative details of maternity leave were often not discussed fully with pregnant workers. When women returned to work, they found that workplaces did not offer resources such as a phased-in return to work or personnel to help them re-engage with their prior work projects. Women discussed the challenges of managing their dual roles of worker and mother and found that managers and coworkers put them in a mommy mould which lessened the quality of their assignments. New mothers found that they had difficultly juggling their work and home responsibilities, finding time for themselves, and receiving increased domestic support from their spouses. While some workplaces offered women flexible workplace policies, not all mothers chose to access them as they found these policies often negatively impacted their career progression. Other issues were a lack of flexible workplace policy transparency, inconsistent manager support, and difficulty maintaining a flexible schedule. Findings have major implications for an improved response from managers upon pregnancy announcement, improved dialogue among employers about increasing “top up” maternity leave pay to new mothers, developing a formal transition plan for new mothers returning to the workplace, and expanding the use of flexible workplace policies.

S tím, jak se neustále vyvíjejí nové technologie pro energeticky náročná průmyslová odvětví, stávající zařízení postupně zaostávají v efektivitě a produktivitě. Tvrdá konkurence na trhu a legislativa v oblasti životního prostředí nutí tato tradiční zařízení k ukončení provozu a k odstavení. Zlepšování procesu a projekty modernizace jsou zásadní v udržování provozních výkonů těchto zařízení. Současné přístupy pro zlepšování procesů jsou hlavně: integrace procesů, optimalizace procesů a intenzifikace procesů. Obecně se v těchto oblastech využívá matematické optimalizace, zkušeností řešitele a provozní heuristiky. Tyto přístupy slouží jako základ pro zlepšování procesů. Avšak, jejich výkon lze dále zlepšit pomocí moderní výpočtové inteligence. Účelem této práce je tudíž aplikace pokročilých technik umělé inteligence a strojového učení za účelem zlepšování procesů v energeticky náročných průmyslových procesech. V této práci je využit přístup, který řeší tento problém simulací průmyslových systémů a přispívá následujícím: (i)Aplikace techniky strojového učení, která zahrnuje jednorázové učení a neuro-evoluci pro modelování a optimalizaci jednotlivých jednotek na základě dat. (ii) Aplikace redukce dimenze (např. Analýza hlavních komponent, autoendkodér) pro vícekriteriální optimalizaci procesu s více jednotkami. (iii) Návrh nového nástroje pro analýzu problematických částí systému za účelem jejich odstranění (bottleneck tree analysis – BOTA). Bylo také navrženo rozšíření nástroje, které umožňuje řešit vícerozměrné problémy pomocí přístupu založeného na datech. (iv) Prokázání účinnosti simulací Monte-Carlo, neuronové sítě a rozhodovacích stromů pro rozhodování při integraci nové technologie procesu do stávajících procesů. (v) Porovnání techniky HTM (Hierarchical Temporal Memory) a duální optimalizace s několika prediktivními nástroji pro podporu managementu provozu v reálném čase. (vi) Implementace umělé neuronové sítě v rámci rozhraní pro konvenční procesní graf (P-graf). (vii) Zdůraznění budoucnosti umělé inteligence a procesního inženýrství v biosystémech prostřednictvím komerčně založeného paradigmatu multi-omics.