A heuristic for solving mixed-model line balancing problems with stochastic task durations and parallel stations

Article Abstract:

A heuristic model can be used to solve problems of line balancing for mixed models that demonstrate stochastic task durations resulting from the paralleling of tasks within work centers. The model provides seven task-selection rules as varying solutions to problems. All the rules have two common characteristics, including output performance measures and resource requirements of workers and equipment. To evaluate which rule is efficient, data envelopmental analysis can also be used.

Models, Analysis, Heuristic, Heuristics (Psychology), Assembly-line balancing

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Simulation analysis of a pull-push system for an electronic assembly line

Article Abstract:

A simulation model measures the amount of finished board inventories and kanbans needed to meet a demand on time in an electronic assembly line. Data from a printed circuit board assembly line with nine work stations establish the framework for the model using Pegden's SIMAN language. The study shows that in an average 100 runs when the total work-in-process and finished board inventory capacity is set to 90 batches, 99.09% of demand is met on time.

Usage, Simulation methods, Simulation, Just in time inventory systems, Just in time systems, Assembly-line methods, Assembly lines

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Policies for lot sizing with setup learning

Article Abstract:

A myopic lot sizing policy for finite horizons can be described as a more appropriate policy than an optimal policy as the former does not need any data regarding future setup expenses. Using optimal policies is demanding for they need data about future setup cost cutback trends and the extent of the finite planning horizon.

Economic policy, Economic lot size

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