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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The Design of a Packing Line in a Manufacturing Company

Kawczynski, Lukasz January 2006 (has links)
<p>In today’s competitive global economy, the focus is on faster delivery of orders at lower total costs. In this paper we are interested in several aspects of order picking systems. We examine the influence of station layout, storage policy, picking policy and sorting solution on order picking system performance. On each of the analysis we consider a few solutions. We determine influence of different number of station in raw on picking system performance. We design the replenishment system supported by kanban philosophy with implemented economical order quantity (EOQ) and reorder point (ROP). The picking system is designed for assumed product’s demand values. The assessment of each of the solution is done through Arena simulation model. The results show that properly designed station with reasonable storage policy and implemented batching policy brings significant raise in order picking system productivity. In addition, we found that proper sortation system logic allows for more equal workload and reduction of maximum queue lengths. The results offer solutions to managers looking to implement improvements in order picking systems.</p>
2

The Design of a Packing Line in a Manufacturing Company

Kawczynski, Lukasz January 2006 (has links)
In today’s competitive global economy, the focus is on faster delivery of orders at lower total costs. In this paper we are interested in several aspects of order picking systems. We examine the influence of station layout, storage policy, picking policy and sorting solution on order picking system performance. On each of the analysis we consider a few solutions. We determine influence of different number of station in raw on picking system performance. We design the replenishment system supported by kanban philosophy with implemented economical order quantity (EOQ) and reorder point (ROP). The picking system is designed for assumed product’s demand values. The assessment of each of the solution is done through Arena simulation model. The results show that properly designed station with reasonable storage policy and implemented batching policy brings significant raise in order picking system productivity. In addition, we found that proper sortation system logic allows for more equal workload and reduction of maximum queue lengths. The results offer solutions to managers looking to implement improvements in order picking systems.

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