An integrated production inventory model of deteriorating items subject to random machine breakdown with a stochastic repair time

Luong, Huynh Trung; Karim, Rubayet

doi:10.5267/j.ijiec.2016.9.004

Cited by 14 publications

(12 citation statements)

References 14 publications

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“…According to general distributions of breakdown and repair time, the basic model was built and two computational algorithms were proposed to help solve the optimal fabrication and STL that keep the long-run system expenses at minimal um. Extra works (Berg et al, 1994;Giri & Dohi, 2005a;Dahane et al, 2012;Liu et al, 2017a;Muzamil et al, 2017;Vujosevic et al, 2017;Luong & Karim, 2017;Nobil et al, 2018;Mohammed et al, 2018;Zhang et al, 2018) were also carried out to study the effect of diverse aspects of failures and their corresponding actions on manufacturing systems.…”

Section: Introductionmentioning

confidence: 99%

Manufacturing runtime problem with an expedited fabrication rate, random failures, and scrap

Chiu¹,

Huang²,

Chou³

et al. 2020

10.5267/j.ijiec

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When operating in highly competitive business environments, contemporary manufacturing firms must persistently find ways to fulfill timely orders with quality ensured merchandise, manage the unanticipated fabrication disruptions, and minimize total operating expenses. To address the aforementioned concerns, this study explores the optimal runtime decision for a manufacturing system featuring an expedited fabrication rate, random equipment failures, and scrap. Specifically, the proposed study considers an expedited rate that is linked to higher setup and unit costs. The fabrication process is subject to random failure and scrap rates. The failure instance follows a Poisson distribution, is repaired right away, and the fabrication of interrupted batch resumes when the equipment is restored. The defective goods are identified and scrapped. Mathematical modeling and optimization method are used to find the total system cost and the optimal runtime of the problem. The applicability and sensitivity analyses of research outcome are illustrated through a numerical example. Diverse critical information regarding the individual/joint impacts of variations in stochastic time-to-failure, expedited rate, and random scrap on the optimal runtime decision, total system expenses, different cost components, and machine utilization, can now be revealed to assist in in-depth problem analyses and decision makings.

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Section: Introductionmentioning

confidence: 99%

Manufacturing runtime problem with an expedited fabrication rate, random failures, and scrap

Chiu¹,

Huang²,

Chou³

et al. 2020

10.5267/j.ijiec

View full text Add to dashboard Cite

show abstract

“…Results and applicability were demonstrated via a numerical example. Extra studies that investigated the effect of machine failures on manufacturing systems can also be referred elsewhere (Giri & Dohi, 2005;Chakraborty et al, 2008;Rivera-Gómez et al, 2013;Chiu et al, 2016;Zhang et al, 2016;Luong & Karim, 2017).…”

Section: Introductionmentioning

confidence: 99%

Joint effects of stochastic machine failure, backorder of permissible shortage, rework, and scrap on stock replenishing decision

Chiu¹,

Chen²,

Chiu³

et al. 2019

10.5267/j.ijiec

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With the intention of addressing product quality, machine reliability, and acceptable service level issues in real fabrication systems, this paper studies joint effects of stochastic breakdown, backorder of permissible shortage, rework, and scrap on the optimal stock replenishing policy. A decision model is developed to solve the problem, which consists of mathematical modeling, formulations, and optimization method in order to help analyze the problem, derive the system cost function, and find the optimal replenishment cycle length decision. Applicability of the research results are demonstrated by a numerical example. The proposed decision model enables production managers to not only determine the optimal stock replenishing policy, but also reveal individual impact and/or joint effects of stochastic breakdown, defective rate, backorder of allowable shortage, rework, and scrap on the replenishing decision. With such an in-depth study, diverse system characteristics become available for managerial decision-making.

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“…Accordingly, they presented a solution procedure for the problem and used numerical illustrations along with sensitivity analyses to show applicability of their results and offered some important managerial insights of the problem. Extra studies [4][5][6][7][8][9][10][11][12] also addressed rework issues in diverse aspects of manufacturing systems.…”

Section: Introductionmentioning

confidence: 99%

Optimal common manufacturing cycle length for a multi-product inventory system with rework and an outside contractor

Chiu

Chen

Lin

2019

IJEM

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Facing global market's rigid competition, today's manufacturers need not only to satisfy the timely demands of multiproduct, but also to ensure quality of their goods. For the purpose of reducing fabrication cycle time so as to meet timely demands, outsourcing is always a helpful option in production planning. To address the aforementioned real issues, the present study derives the optimal common manufacturing cycle length for a multi-product inventory system, wherein a part of lot-size of each end product is supplied by an outside contractor, and in each cycle a rework process repairs random defects produced by the in-house process. The schedule of receipt time for outsourced items is practically assumed to be in the end of rework. A specific decision model is built to cautiously portray such a hybrid inventory problem. Through modeling, analysis, and derivation the expected annual system cost is obtained, and using optimization technique the optimal cycle length that minimizes system cost is gained. The proposed decision model not only can help find optimal solution to the problem, but also enables manufacturers to obtain diverse essential information, such as the critical outsourcing rate, individual manufacturing related cost for each end product, and influence or joint effects of variations in different system factor(s) on the problem. Without our in-depth exploration, the aforementioned information will still be unavailable to support managerial decision makings. KEY WORDS:common manufacturing cycle length; multi-product inventory system; outsource; rework.

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An integrated production inventory model of deteriorating items subject to random machine breakdown with a stochastic repair time

Cited by 14 publications

References 14 publications

Manufacturing runtime problem with an expedited fabrication rate, random failures, and scrap

Manufacturing runtime problem with an expedited fabrication rate, random failures, and scrap

Joint effects of stochastic machine failure, backorder of permissible shortage, rework, and scrap on stock replenishing decision

Optimal common manufacturing cycle length for a multi-product inventory system with rework and an outside contractor

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