Computational performance and efficiency of lower-bound procedures for the dynamic facility layout problem

Article Abstract:

Aclass of lower bounds for the dynamic facility layout problem is presented as an alternative to optimal solutions forthe quadratic assignment problem. Comparison of the relative performance of lower-bound procedures using Gilmore-type bounds, Rosenblatt bounds and probabilistic bounds show that probabilistic bounds result in near-optimal solutions. Gilmore-type bounds are particularly effective for compact layout designs while Rosenblatt bounds are best for evaluating dynamic facility layoutheuristics. Probabilistic bounds perform best with scattered layout designs.

Models, Plant layout

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Inventory models with inventory-level-dependent demand: a comprehensive review and unifying theory

Article Abstract:

The inventory models for products exhibiting an inventory-level-dependent demand (ILDD) rate are reviewed. The two distinct types of inventory control models that reflect the equivalence between the demand rate of retail items and the inventory level are examined.

United States, Market information - general, Inventory Control, Inventories, Methods, Supply and demand

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An optimal piecewise-linear program for the U-line balancing problem with stochastic task times

Article Abstract:

The U-line balancing problem with stochastic task times is examined. A chance-constrained, piecewise-linear, integer program is formulated to find the optimal solution.

Europe, Analysis, Usage, Stochastic programming, Assembly-line balancing

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