Overtime

Overtime is about the politics of time, and specifically the amount of time that we spend labouring within capitalist society. It argues that reactivating the longstanding demand for shorter working hours should be central to any progressive trajectory in the years ahead. This book explains what a shorter working week means, as well as its history and its political implications. Will Stronge and Kyle Lewis examine the idea of reducing the time we all spend labouring for other on both a theoretical and political level, and offer an analysis rooted in the radical traditions from which the idea first emerged. Throughout, the reader is introduced to key theorists of work and working time alongside the relevant research regarding our contemporary 'crisis of work', to which the authors' proposal of a shorter working week responds.

Comprehensive economic evaluation of overtime working includes theoretical, empirical and policy aspects based on international evidence.

This book introduces a new notion of replacement in maintenance and reliability theory. Replacement Overtime, where replacement is done at the first completion of a working cycle over a planned time, is a new research topic in maintenance theory and also serves to provide a fresh optimization technique in reliability engineering. In comparing replacement overtime with standard and random replacement techniques theoretically and numerically, 'Maintenance Overtime Policies in Reliability Theory' highlights the key improvements to be gained by adopting this new approach and shows how they can be applied to inspection policies, parallel systems and cumulative damage models. Utilizing the latest research in replacement overtime by internationally recognized experts, the reader will be introduced to new topics and methods, and learn how to apply this knowledge practically to actual reliability models. This book will serve as an essential guide to a new subject of study for graduate students and researchers and also provides a useful guide for reliability engineers and managers who have difficulties in maintenance of computer and production systems with random working cycles.