An algorithm for single shift scheduling of hierarchical workforce

Article Abstract:

An algorithm for finding the optimal solution to the single shift scheduling of an hierarchical workforce in seven-day-a-week industries is introduced. With many worker categories and their capabilities arranged hierarchically, the most economical mix of worker categories which fits the pattern of demand for employees and desired work traits should be achieved. Employee demand varies from one category to another, and for each category, weekday demand is fixed and is different from weekend demand. The algorithm provides a computational scheme for determining the minimum workforce size with the most economical mix of worker categories that satisfies the demand context. It also offers a technique for achieving feasible assignment of employees to shifts.

Manpower Planning, Scheduling (Management), Shift work

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Solving Network Manpower Problems with Side Constraints

Article Abstract:

Because of proliferation of network-styled, goal- programming manpower models, issues of side constraints have become more important. This is particularly true where side constraints are not integrated in the network structure. Attrition and budgetary restrictions are the focus of this research which illustrates a basic three rank two classification system where transitions are given for hires, promotions, and losses. Tables of constraints for simple manpower models are featured. Attrition and budget problems occur where extra constraints are high. The heuristic technique is preferred for attrition constraints, but they can converge on non-optimal solutions. A combination of the two methods is probably best.

Computer programming

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Using intelligent agents for pro-active, real-time urban intersection control

Article Abstract:

Research describing the use of intelligent agents for real-time, pro-active intersection control in urban traffic is presented. Traffic control systems are dependent on their ability to react to patterns and variances of traffic. The application of autonomous intelligent agents in the control of traffic in urban areas is investigated.

Roads, Intersections, Traffic signals, Traffic signs and signals, Road signs

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