Simple Approaches to Shift, Days-Off and Tour Scheduling Problems
AbstractShift and days-off scheduling problems have received much attention in the literature of integer programming approaches to workforce scheduling. A typical managerial use would be to schedule full-time employees to minimize the number of labor hours while satisfying variable workforce requirements of a service delivery system. We present computational experience to show that an easily implemented application of linear programming frequently produces optimal solutions to these problems. When the context progresses toward a continuous operating environment (service delivery over 24 hours a day, 7 days a week) we stress the need to shed the myopic views of the shift and days-off scheduling formulations in favor of an integrative tour scheduling formulation. For this problem we observe that a simple heuristic initiated by rounding down the associated LP solution consistently produces near optimal solutions. This observation is based on experiments over varying workforce requirement patterns.
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Bibliographic InfoArticle provided by INFORMS in its journal Management Science.
Volume (Year): 29 (1983)
Issue (Month): 8 (August)
organizational studies: manpower planning; programming: linear; applications; industries: service firms;
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