Production Lot Sizing and Process Targeting under Process Deterioration and Machine Breakdown Conditions

The paper considers a production facility that might deteriorate suddenly at some point during the production run time; after deterioration, nonconforming items are produced in a greater rate compared to the rate before deterioration. Moreover, the production facility may ultimately break down; cons...

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Main Authors: Muhammad Al-Salamah, Ali Abudari
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2012/393495
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spelling doaj-af85bc6f358b4097afb0a9a9ba43d1212020-11-24T23:38:40ZengHindawi LimitedModelling and Simulation in Engineering1687-55911687-56052012-01-01201210.1155/2012/393495393495Production Lot Sizing and Process Targeting under Process Deterioration and Machine Breakdown ConditionsMuhammad Al-Salamah0Ali Abudari1Mechanical Engineering Department, College of Engineering, Majmaah University, Majmaah 11952, Saudi ArabiaBusiness Improvement Department, Rezayat Group, P.O. Box 90, Khobar 31952, Saudi ArabiaThe paper considers a production facility that might deteriorate suddenly at some point during the production run time; after deterioration, nonconforming items are produced in a greater rate compared to the rate before deterioration. Moreover, the production facility may ultimately break down; consequently, the production lot is aborted before completion. If breakdown happens, corrective action is started immediately; otherwise, the production lot is completed and preventive repair is implemented at the end of the production cycle to enhance system reliability. The mathematical model is formulated under general distributions of failure, corrective, and repair times, while the numerical examples are solved under exponential failure and uniform repair times. The formulated model successfully determines the optimal lot size in addition to the optimal process parameters (mean and standard deviation) simultaneously.http://dx.doi.org/10.1155/2012/393495
collection DOAJ
language English
format Article
sources DOAJ
author Muhammad Al-Salamah
Ali Abudari
spellingShingle Muhammad Al-Salamah
Ali Abudari
Production Lot Sizing and Process Targeting under Process Deterioration and Machine Breakdown Conditions
Modelling and Simulation in Engineering
author_facet Muhammad Al-Salamah
Ali Abudari
author_sort Muhammad Al-Salamah
title Production Lot Sizing and Process Targeting under Process Deterioration and Machine Breakdown Conditions
title_short Production Lot Sizing and Process Targeting under Process Deterioration and Machine Breakdown Conditions
title_full Production Lot Sizing and Process Targeting under Process Deterioration and Machine Breakdown Conditions
title_fullStr Production Lot Sizing and Process Targeting under Process Deterioration and Machine Breakdown Conditions
title_full_unstemmed Production Lot Sizing and Process Targeting under Process Deterioration and Machine Breakdown Conditions
title_sort production lot sizing and process targeting under process deterioration and machine breakdown conditions
publisher Hindawi Limited
series Modelling and Simulation in Engineering
issn 1687-5591
1687-5605
publishDate 2012-01-01
description The paper considers a production facility that might deteriorate suddenly at some point during the production run time; after deterioration, nonconforming items are produced in a greater rate compared to the rate before deterioration. Moreover, the production facility may ultimately break down; consequently, the production lot is aborted before completion. If breakdown happens, corrective action is started immediately; otherwise, the production lot is completed and preventive repair is implemented at the end of the production cycle to enhance system reliability. The mathematical model is formulated under general distributions of failure, corrective, and repair times, while the numerical examples are solved under exponential failure and uniform repair times. The formulated model successfully determines the optimal lot size in addition to the optimal process parameters (mean and standard deviation) simultaneously.
url http://dx.doi.org/10.1155/2012/393495
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AT aliabudari productionlotsizingandprocesstargetingunderprocessdeteriorationandmachinebreakdownconditions
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