Affiliation:
1. System Engineering Department, King Fahd University of Petroleum & Minerals, P.O. Box 5067, Dhahran 31261, Saudi Arabia
Abstract
An efficient optimum solution is presented for a real-life employee day-soff scheduling problem with a three-week cycle. Over a given work cycle, each worker is given 14 successive workdays and 7 successive off days. This three-week days-off timetable is referred to as the (14, 21) schedule. Given different labor demands for each day of the week, the primary objective is to minimize the number of workers. The secondary objective is to reduce transportation cost by minimizing the number of active days-off patterns. The solution technique utilizes the dual LP solution to determine the minimum number of workers and feasible days-off assignments, without using linear or integer programming. The simple solution technique eliminates the need to use integer programming for this particular scheduling problem.
Funder
King Fahd University of Petroleum & Minerals
Subject
Applied Mathematics,Computational Mathematics,Statistics and Probability,General Decision Sciences
Cited by
9 articles.
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