2254. Hybrid Warehousing for Industry 4.0
Invited abstract in session MA-28: Supply Chain and Logistics Management, stream Decision Support Systems.
Monday, 8:30-10:00Room: Maurice Keyworth 1.03
Authors (first author is the speaker)
| 1. | Abhijit Gosavi
|
| Engineering Management and Systems Engineering, Missouri University of Sciencce and Technology | |
| 2. | Jacob Nyhagen
|
| Missouri University of Science and Technology |
Abstract
In the era of the fourth industrial revolution, also referred to as Industry 4.0, warehouses, where finished products are stored temporarily, are required to swiftly adapt to evolving demand data and to markets that change rapidly. Because of this necessity, warehouses are employing a hybrid storage policy in which some finished products, selected on the basis of high turnover rates, are placed in random storage for a finite period of time before being transferred to a suitable area in the dedicated storage section of the warehouse. An important unresolved problem observed in industries that employ hybrid storage is to determine the amount of dedicated storage space for each product. This problem is commonly observed in many industries; however, there is limited literature on it. First, this work proposes a model for accurately quantifying the amount that needs to be transferred from random to dedicated storage to meet customer demand and ensure smooth flow. This is an integral part of the underlying logistics and the first step towards determining the optimal space. Second, this paper develops two models for determining the dedicated storage area: one model is heuristic and the other is exact and cost-optimal. The models proposed can be incorporated into the logistics of a modern warehouse management system (WMS). Computational examples are provided to illustrate the effectiveness of these models in practice.
Keywords
- Warehouse Design, Planning, and Control
- Facilities Planning and Design
- Industrial Optimization
Status: accepted
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