Download e-book for iPad: A Mathematical Model for Handling in a Warehouse by E. Kay, R Brown, G. Chandler and W. A. Davis (Auth.)

By E. Kay, R Brown, G. Chandler and W. A. Davis (Auth.)

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Now that part of A, that is due to automated handling equipment will increase according to the maximum distance over which any unit may have to be moved; in other words automated handling equipment must be able to operate over the entire extent of the warehouse, and its cost increases with increasing warehouse capacity. Once such equipment is installed the actual operating cost, which is a function of distance, will constitute a relatively small part of total cost per unit time. It is thus more important to minimise the maximum required warehouse capacity than to minimise handling effort.

As from the discussion in Chapters 4, 5 and the example, it appears that, when many varieties are stored, Method 2 is often preferable at least for a significant part of the total storage requirement, we feel that discussion of sequential picking under Method 1 is unnecessary. 1. The previous chapters dealt with a simple warehouse model in a static sense. e. the problem posed was spatial. The problem becomes a dynamic one as soon as stock policies are taken into consideration, that is, as soon as the time dimension enters the problem.

7. The values of a, g and d, depend on the dimension of the cell and gangway width and the handling equipment used. Thus, to give a practical example, in a warehouse storing palletised goods, moved by fork lift trucks, different performance characteristics of the trucks will lead to different shape of blocks and different layouts. Again the cost of the trucks will vary with their performance characteristics. If a> g and d is expressed in monetary terms, the total cost of handling will be given by the handling effort as calculated from the above given formulae plus the cost of the equipment.

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