A New Fuzzy Backorder Inventory Model for the Decision Making of Material Inventory in the Manufacture System

Chien Chang Chou

doi:10.4028/www.scientific.net/KEM.431-432.106

Paper Titles

Numerical Simulation and Experimental Investigation of the Gas-Liquid-Solid Three-Phase Flow Outside of the Abrasive Water Jet Nozzle
p.90

Tool Wear in Diamond Cutting Sinusoidal Microstructured Surfaces
p.94

Contact Stress Analysis of NCD Coating on Cemented Carbide
p.98

Study on Machining System of Precision Micro Abrasive Water Jet and Polish Experiment
p.102

A New Fuzzy Backorder Inventory Model for the Decision Making of Material Inventory in the Manufacture System
p.106

Application of Clustering Regression to Thermal Error Modeling of NC Machine Tool
p.110

Experiments on High-Speed and Dry Cutting with PCBN Tool
p.114

Simulation and Control Models of Laser Bending Angle of Sheet Metals
p.118

Evaluation of Heuristics for a Resource-Constrained Project Scheduling Problem
p.122

HomeKey Engineering MaterialsKey Engineering Materials Vols. 431-432A New Fuzzy Backorder Inventory Model for the...

A New Fuzzy Backorder Inventory Model for the Decision Making of Material Inventory in the Manufacture System

Abstract:

Inventory management is one of important issues in the manufacture system. Thus, this paper proposes a new fuzzy approach to solve the inventory management problems in the manufacture system. In the past, few papers discussed the square roots of fuzzy number. The square roots of fuzzy number can be applied to solve the optimal inventory quantity problems in the fuzzy manufacture system. This paper first proposed the square roots of fuzzy number. Finally, the square roots of fuzzy number are applied to obtain the optimal order quantity for the fuzzy backorder inventory model in the manufacture system.

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Periodical:

Key Engineering Materials (Volumes 431-432)

Pages:

106-109

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.431-432.106

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Online since:

March 2010

Authors:

Chien Chang Chou

Keywords:

Backorder Model, Fuzzy Set Theory, Inventory Problem, Manufacture System

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