• Proceedings of the KSR Conference
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• 2010.06a
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• pp.1574-1579
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• 2010

This paper deals with the development of warehouse layout design algorithm. In the developed model, receiving/outgoing areas, storage areas, picking/distribution areas, value-added operation areas and support areas are considered. For more efficient use of the warehouse floor space, a mezzanine floor is also considered. We develop heuristic algorithms of warehouse layout design for several cases: three types of warehouse and three types of flow. This study is expected to be used as a guideline in warehouse layout design phase.

• Journal of Navigation and Port Research
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• v.33 no.7
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• pp.477-482
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• 2009

In this paper the order picking problem in warehouses is considered, a topic which has received considerable attention from the international academic body in recent years. The order picking problem deals with the retrieval of order items from prespecified locations in the warehouse, and its objective is usually the minimization of travel time or travel distance. Hence, a well-thought order picking policy in combination with an appropriate storage policy will enhance warehouse efficiency and reduce operational costs. This paper starts with a literature overview summarizing approaches to routing order pickers, assigning stock-keeping units to pick locations and designing warehouse layouts. Since the layout design might affect both storage and routing policies, the three factors are interdependent with respect to order picking performance. To test these interdependencies, a simulation experiment was set up, involving two types of warehouse layout, four types of storage policy, five well-known heuristics and five sizes of order picking list. Our results illustrate that from the point of view of order picking distance minimization it is recommended to equip the warehouse with a third cross aisle, although this comes at the cost of a certain space loss. Additionally, we propose a set of most appropriate matches between order picking heuristics and storage policies. Finally, we give some directions for further research and recommend an integrated approach involving all factors that affect warehouse efficiency.

• Journal of Korean Institute of Industrial Engineers
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• v.18 no.2
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• pp.109-121
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• 1992

In this paper, we address a layout design problem for determining a K-class-based dedicated storage layout in an automated storage retrieval system. K-class-based dedicated storage employs K zones in which lots from a class of products are stored randomly. Zones form a partition of storage locations. Our objective function is to minimize the expected single command travel time, which is expressed as a set function of space requirements for zones, average demand rates from classes, and one-way travel times from the pickup/deposit station to locations. We construct a heuristic algorithm based on analytical results and a local search method, the methodology deveolped can be used with easily-available data by warehouse planners to improve the throughput capacity of a conventional warehouse as well as an AS/RS.

• Journal of the Korean Operations Research and Management Science Society
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• v.32 no.2
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• pp.1-15
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• 2007

This paper proposes a method for determining the number of storage rooms and designing the storage layout in warehouses for pyramid type stacks whose example are slacks for steel coils, paper rolls, and drums for oils. Formulas are derived for estimating the expected values and the variances of various handling times by cranes. From the derived formulas, the expected queuing time of road trucks is estimated. Base on the derived formulas, this study derives the cost function for determining the optimal numbers of rows, bays, and tiers of stacks and sizing cranes under the condition that the requirement for storage space is satisfied. Results of numerical analysis are provided.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2005.10a
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• pp.193-196
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• 2005

The value of all goods and services produced in the economy divided by population has risen from $7.355 in 1998 to $12.646 in 2003. In other to maintain higher standard of lifestyle, people are 'hungry' for time. The idea of saving time and money by providing many different types of products altogether in one space was implemented with the advent of large warehouse style discount stores. These type of retailers grew in size and popularity during the 1990s and 2000s, causing a decline in sales in the old, traditional downtown markets. From ancient to twenty-first century, the role of the grocery store has been that of the social center of the community; a place of unity and interaction of people. The experience a customer engages in at a grocery store is comparable to that of a museum. Not only is the grocery store a unique, physical space to visit, but also a rich collection of fascination items. The layout of the interior space is meticulously planned for the efficiency of customer circulation and the success of product exhibition. Eye catching graphics and attractive lighting also add to the appeal of the grocery store's high style. Shoppers are no longer satisfied with just buying good products at a lower price. Shoppers prefer to spend time in an entertaining environment. The Hanaro Mart project in this study propose the idea of warehouse style discount stores which can satisfy all the demands of customers and their various activities. This study will open up unique dimensions of aesthetic expression and experience in the interior environments. Shopping for food is an unavoidable task. If food shopping is enjoyable, more people will spend more time at it.

• Journal of Korean Institute of Industrial Engineers
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• v.37 no.2
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• pp.96-104
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• 2011

Modeling and simulation of human-involved complex systems pose challenges to representing human decision makings into logical systems because of the nondeterministic and dynamic nature of human behaviors. In modeling perspectives, human's activities in systems can increase uncertainty and complexity, because he or she can potentially access all other resources within the system and change the system states. To address all of these human involvements in the system, this research suggests applying the Finite State Automata (FSA)-based formal modeling of human-involved systems that incorporates the ecological concept of affordances to an evacuation simulation, so that human behavioral patterns under urgent and dynamic emergency situations can be considered in the real-time simulation. The proposed simulation methodologies were interpreted using the warehouse fire evacuation simulation to clarify the applicability of the proposed methodology. This research is expected to merge system engineering technologies and human factors, and come out to the new predictive modeling methodology for disaster simulations. This research can be applied to a variety of applications such as building layout designs and building access control systems for emergency situations.