A periodic review model under stochastic demand and stochastic occurrence of defectives

In a typical production system, whether it is technologically advanced or not, manufacturing operations are often imperfect so there output may contain defective items. The presence of defective items lead to the reduction in the original optimal order quantity which would, in turn, either trigger s...

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Main Author: Polancos, Ronaldo V.
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Language:English
Published: Animo Repository 1993
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Online Access:https://animorepository.dlsu.edu.ph/etd_masteral/1455
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_masteral-82932021-01-19T08:59:03Z A periodic review model under stochastic demand and stochastic occurrence of defectives Polancos, Ronaldo V. In a typical production system, whether it is technologically advanced or not, manufacturing operations are often imperfect so there output may contain defective items. The presence of defective items lead to the reduction in the original optimal order quantity which would, in turn, either trigger shortages or cause the ordering of raw materials to take place more frequently. In effect, the total quantity available for sale would be less and potential customers may be lost. Few authors have considered the simultaneous effect of demand variability and occurrence of defectives in a single period model. Further, all available literature on single period models are unconstrained. This study formulated a TWO-PERIOD OPTIMAL PRODUCTION PLAN which considers the simultaneous effect of stochastic demand and stochastic occurrence of defectives. Moreover, the inventory model that was developed includes a capacity constraint. This study includes set-up cost, production cost, salvage value, holding cost and backorder cost in the objective function. Convexity of the model was tested using the Unconstrained Optimization Technique and the Liebnitz' Rule. A numerical example was presented using the derived model. Both the demand pattern and the occurrence of defectives were assumed to be uniformly distributed. The Jacobian Transformation and Convolution Method were used to determine the density function of the product and sum of two uniform distributions, respectively. 1993-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_masteral/1455 Master's Theses English Animo Repository Stochastic processes Materials management Mathematical models Industrial Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Stochastic processes
Materials management
Mathematical models
Industrial Engineering
spellingShingle Stochastic processes
Materials management
Mathematical models
Industrial Engineering
Polancos, Ronaldo V.
A periodic review model under stochastic demand and stochastic occurrence of defectives
description In a typical production system, whether it is technologically advanced or not, manufacturing operations are often imperfect so there output may contain defective items. The presence of defective items lead to the reduction in the original optimal order quantity which would, in turn, either trigger shortages or cause the ordering of raw materials to take place more frequently. In effect, the total quantity available for sale would be less and potential customers may be lost. Few authors have considered the simultaneous effect of demand variability and occurrence of defectives in a single period model. Further, all available literature on single period models are unconstrained. This study formulated a TWO-PERIOD OPTIMAL PRODUCTION PLAN which considers the simultaneous effect of stochastic demand and stochastic occurrence of defectives. Moreover, the inventory model that was developed includes a capacity constraint. This study includes set-up cost, production cost, salvage value, holding cost and backorder cost in the objective function. Convexity of the model was tested using the Unconstrained Optimization Technique and the Liebnitz' Rule. A numerical example was presented using the derived model. Both the demand pattern and the occurrence of defectives were assumed to be uniformly distributed. The Jacobian Transformation and Convolution Method were used to determine the density function of the product and sum of two uniform distributions, respectively.
format text
author Polancos, Ronaldo V.
author_facet Polancos, Ronaldo V.
author_sort Polancos, Ronaldo V.
title A periodic review model under stochastic demand and stochastic occurrence of defectives
title_short A periodic review model under stochastic demand and stochastic occurrence of defectives
title_full A periodic review model under stochastic demand and stochastic occurrence of defectives
title_fullStr A periodic review model under stochastic demand and stochastic occurrence of defectives
title_full_unstemmed A periodic review model under stochastic demand and stochastic occurrence of defectives
title_sort periodic review model under stochastic demand and stochastic occurrence of defectives
publisher Animo Repository
publishDate 1993
url https://animorepository.dlsu.edu.ph/etd_masteral/1455
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