• Journal of the Korea Safety Management & Science
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• v.12 no.3
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• pp.207-214
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• 2010

The picking process in distribution center is one of the most difficult and time-consuming process. The improvement of picking productivity is a core element which decides efficiency of the distribution center. The time to shipping on vehicles from receiving depends on the arrangement of items or picking methods. The Pick to Light system typically is used to improve the efficiency of order picking. In some cases the layout design of Pick to Light system has been performed rather than scientific analysis by a common experience. Therefore, this study analyzed the impact of picking performance by the zone arrangement method in order picking process of Pick to Light system.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.190-197
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• 2024

By the recent fast growth of e-commerce markets, it has been stimulated to study order picking systems to improve their efficiency in distribution centers. Many companies and researchers have been developed various types of order picking systems and pursued the corresponding optimal operation policies. However, the performances of the systems with the optimal policies often depend on the structures of the centers and the operation environments. Based on a simulation model that mimics a unique zone picking system operated by a real company in the Republic of Korea, this study compares several operation policies and finds the most appropriate order selection rule and worker assignment policy for the system. Under all scenarios considered in this study, simulation results show that it is recommendable to assign more efficient workers to the zones with heavier workload. It also shows that selecting the order with the maximum number of non-repeatedly visited zones from the order list provides the most consistent and stable performances with respect to flow time, makespan, and utilization of the system even under the scenario with the breakdown zones. On the other hand, selecting the order with the minimum ratio of penalty to the number of zones performs the worst in all scenarios considered.

• Journal of the Korea Society for Simulation
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• v.20 no.2
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• pp.67-76
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• 2011

Order picking in automotive service parts warehouses is considered to be the most labor-intensive operation. Such warehouses contain hundreds of thousands of items, but normally 20% of products contribute to about 80% of turnover according to Pareto's 80-20 principle. Therefore most fast moving items are located near an outbound area which is called the "Golden Zone". Order picking routing efficiency is related to productivity and labor cost. However, most companies use simple methods. In this paper, we describe a series of computational experiments over a set of test cases where, we compared various previously existing routing heuristics to an optimal algorithm. We focus on examining the influence of the golden zone on the performance and selection of routing methods. The results obtained show that the optimal routing method increases the productivity at least 17.2%, and all the routing methods have better performance as the pick up rate from the golden zone increases.

• Archives of design research
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• v.13 no.4
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• pp.225-231
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• 2000

Forcasting the future is a very important task in design situation analysis. To do this, the reduction of life style, the tendency of product differentiation and individuality should be considered along with such changes as cultural, economical and social trends. At the moment, industrial structure is being reorganized from centering around the manufacturing industry to the distribution industry and consumers. Consumers show the attitude of expressing their individualities on the basis of various tastes rather than standardization. The flow of information also has been changing rapidly from the former types of information provided by producers to the age when consumers pursue the objective and model of information. Therefore, we are able to say that picking up the trends around the streets becomes more important than ever. Accordingly, the objective of this study is to establish a system which is able to effectively carry out the trend analysis by a town watching method, the construction of a database with collected data, and its practical application on the web.