Manpower Requirements for Management and Professional Personnel (eBook)

Artikelnummer: 978-0-13-298188-0
Einband: Adobe Digital Editions
Verfügbarkeit: Noch nicht erschienen, August 2027
CHF 4.50

Normal 0 false false false MicrosoftInternetExplorer4 It is notoriously difficult to measure work in management, professional, and service roles, where management can't quantify the number of units produced, and repetition of work occurs only on much longer cycle times. Nevertheless, you must make accurate measurements to correctly size your organization--and current economic uncertainty makes this even more critical. In Manpower Requirements for Management and Professional Personnel, Frank A. Tillman and Deandra T. Cassone present an exceptionally accurate analytical approach to assessing manpower requirements throughout white-collar environments, helping companies systematically, carefully select individuals who are best suited for a wide variety of roles throughout the business. Tillman and Cassone's structured, statistical staffing model accounts for tasks, the time it takes to perform them, and the inevitable significant variability in task times. Reflecting the types of jobs it seeks to quantify, it takes a broader view of what constitutes a ';task' or ';work unit,' enabling decision-makers to utilize already available data in powerful new ways. Tillman and Cassone detail data sources, functions, activities, workload drivers, inflows, processing, outflows, and more. They also address complex issues such as skill-mix trade-offs that any staffing model for managers and professionals needs to handle. Tillman and Cassone's model can be used as a management tool for analyzing, determining, and redistributing staffing resources throughout the organization and for both future resource planning and ';what-if' analysis.

Normal 0 false false false MicrosoftInternetExplorer4 It is notoriously difficult to measure work in management, professional, and service roles, where management can't quantify the number of units produced, and repetition of work occurs only on much longer cycle times. Nevertheless, you must make accurate measurements to correctly size your organization--and current economic uncertainty makes this even more critical. In Manpower Requirements for Management and Professional Personnel, Frank A. Tillman and Deandra T. Cassone present an exceptionally accurate analytical approach to assessing manpower requirements throughout white-collar environments, helping companies systematically, carefully select individuals who are best suited for a wide variety of roles throughout the business. Tillman and Cassone's structured, statistical staffing model accounts for tasks, the time it takes to perform them, and the inevitable significant variability in task times. Reflecting the types of jobs it seeks to quantify, it takes a broader view of what constitutes a ';task' or ';work unit,' enabling decision-makers to utilize already available data in powerful new ways. Tillman and Cassone detail data sources, functions, activities, workload drivers, inflows, processing, outflows, and more. They also address complex issues such as skill-mix trade-offs that any staffing model for managers and professionals needs to handle. Tillman and Cassone's model can be used as a management tool for analyzing, determining, and redistributing staffing resources throughout the organization and for both future resource planning and ';what-if' analysis.

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VerlagPearson ITP
EinbandAdobe Digital Editions
Erscheinungsjahr2012
AusgabekennzeichenEnglisch
PlattformEPUB
AutorTillman, Frank / Cassone Deandra T.

Über den Autor Frank Tillman

Frank A. Tillman's varied and full career has encompassed 30+ years of teaching and research; he served as department head at Kansas State University for over 20 years and published two books as well as 50+ professional articles. Dr. Tillman has also launched and led two consulting firms, IBES, Inc. and HTX International, Inc., and developed both commercial and residential real estate. Deandra T. Cassone is Logistics Manager at a Fortune® 100 company and Adjunct Assistant Professor, Systems Engineering at Missouri University of Science and Technology. She has spent more than 25 years in industry consulting and management roles. Her interests include building structured decision-making models; she has submitted numerous business process patents.

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