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A rules-based expert system for dete...

Marvel, Jon Harold.

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A rules-based expert system for determining inventory location in a distribution warehouse.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A rules-based expert system for determining inventory location in a distribution warehouse./
作者:	Marvel, Jon Harold.
面頁冊數:	152 p.
附註:	Source: Dissertation Abstracts International, Volume: 56-08, Section: B, page: 4518.
Contained By:	Dissertation Abstracts International56-08B.
標題:	Engineering, Industrial. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9538282

A rules-based expert system for determining inventory location in a distribution warehouse.
Marvel, Jon Harold.

A rules-based expert system for determining inventory location in a distribution warehouse. - 152 p.

Source: Dissertation Abstracts International, Volume: 56-08, Section: B, page: 4518.

Thesis (Ph.D.)--University of Cincinnati, 1995.

Determining the proper storage locations for thousands of SKU's is a major task that faces the warehouse manager during new warehouse design or existing facility refurbishment. The most efficient selection of storage locations is contingent on many properties of the SKU's, including frequency of movement, weight, cube, carton height, toxicity, let down ratio, etc. It is extremely difficult and time to consider all the factors simultaneously and consistently select the best location. This research focused on developing an expert system that combined human warehouse expertise with the speed and accuracy of a computerized system to aid a food distribution warehouse manager utilizing pallet jack order picking vehicles and a single traversal order picking policy in selecting highly efficient storage locations.Subjects--Topical Terms:

626639
Engineering, Industrial.

A rules-based expert system for determining inventory location in a distribution warehouse.
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100 1 $a Marvel, Jon Harold. $3 1908257
245 1 2 $a A rules-based expert system for determining inventory location in a distribution warehouse.
300 $a 152 p.
500 $a Source: Dissertation Abstracts International, Volume: 56-08, Section: B, page: 4518.
500 $a Chair: Richard L. Shell.
502 $a Thesis (Ph.D.)--University of Cincinnati, 1995.
520 $a Determining the proper storage locations for thousands of SKU's is a major task that faces the warehouse manager during new warehouse design or existing facility refurbishment. The most efficient selection of storage locations is contingent on many properties of the SKU's, including frequency of movement, weight, cube, carton height, toxicity, let down ratio, etc. It is extremely difficult and time to consider all the factors simultaneously and consistently select the best location. This research focused on developing an expert system that combined human warehouse expertise with the speed and accuracy of a computerized system to aid a food distribution warehouse manager utilizing pallet jack order picking vehicles and a single traversal order picking policy in selecting highly efficient storage locations.
520 $a The expert system's rules were designed by quantifying current decision logic. The letdown frequency required for the particular slot/item configuration and the number of assembly operations performed when receiving the material into the warehouse were the two most significant factors for determining item location. Simultaneous consideration of these factors formed the expert system's base algorithms. Additional algorithms addressed strategies to reduce the probability of mispicks and ergonomic considerations in slot location.
520 $a In a limited simulation study, the layouts generated by the expert system decreased total picking time and order picker traveling distance by more than 10% and 20% respectively compared to random assignment. True benefits this expert system, in addition to reduced order picking time and distance, was a reduction in mispick rates and long term benefits of an improved ergonomic environment.
520 $a The importance of this research impacts several areas. Mispick rates, even in well-managed warehouses, average between 1% and 3%. This research generated algorithms that addressed the problems of minimizing mispicking errors that frequently occur. Additional problems are caused by unstable order picker loads. This research emphasized the stackability and not just the cube of the item as a factor in determining stock location. Including ergonomic criteria into the decision making process of slot location is another area that was taken into consideration since physical effects on the order picker impact the total cost of any warehousing function.
590 $a School code: 0045.
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650 4 $a Engineering, Packaging. $3 1025152
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790 $a 0045
791 $a Ph.D.
792 $a 1995
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9538282