DocumentCode
439039
Title
Demand forecasting approach inventory control for CIMS
Author
Suesut, Taweepol ; Mongkhoin, Bancha
Author_Institution
Dept. of Instrum. Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand
Volume
3
fYear
2004
fDate
6-9 Dec. 2004
Firstpage
1869
Abstract
This paper presents a technique to control the inventory level on the warehouse automation by using continuous reviewing and forecasting system. The product demand that stored in the warehouse depends on orders from customers. For each product, the demand follows a Poisson process and the delivery lead-time is known. The demand forecast can predict the trend of order and redefine the reorder point (RP) of inventory that linked to automatic warehouse control system. The automatic warehouse plays an important role in the computer integration manufacturing system (CIMS). The functions of CIMS include production planning, material requirement planning, work order generation, process control, quality control, shipping planning, warehouse and inventory management and material cost accounting (Y. Nagata et al., 1998). This paper focuses on implementing an automatic warehouse control and inventory management demand forecasting system.
Keywords
computer integrated manufacturing; demand forecasting; stock control; warehouse automation; CIMS; Poisson process; automatic warehouse control system; computer integration manufacturing system; continuous reviewing system; demand forecasting system; inventory control; inventory management; material cost accounting; material requirement planning; process control; product demand; production planning; quality control; reorder point; shipping planning; warehouse automation; warehouse management; work order generation; Automatic control; Automation; Computer aided manufacturing; Computer integrated manufacturing; Control systems; Demand forecasting; Inventory control; Inventory management; Materials requirements planning; Production planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN
0-7803-8653-1
Type
conf
DOI
10.1109/ICARCV.2004.1469444
Filename
1469444
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