An optimal common production cycle time for imperfect production processes with scrap

Wenna, Ma; Gong, Dah-Chuan; Lin, Gary

doi:10.1016/j.mcm.2010.04.024

Cited by 41 publications

(19 citation statements)

References 14 publications

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“…Among them a θ portion is scrap and the other (1 -θ) po (7) defective items is rtion of defective items is considered to be re-workable. Time needed for reworking is shown in Equation (8). During the reworking, a portion θ 1 of reworked items fail and becomes scrap.…”

Section: Formulation and Derivationmentioning

confidence: 99%

“…But in real-life production systems, due to process deterioration or other factors, generation of defective items is inevitable. Hence, many studies have been carried out to enhance EPQ model by addressing the imperfect quality production issue [5][6][7][8][9][10][11][12][13][14]. Rosenblatt and Lee [11] proposed an EPQ model that deals with imperfect quality.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On Improving Replenishment Lot Size of an Integrated Manufacturing System with Discontinuous Issuing Policy and Imperfect Rework

Lee¹,

Chiu²,

Chang³

2011

AJIBM

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Section: Formulation and Derivationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On Improving Replenishment Lot Size of an Integrated Manufacturing System with Discontinuous Issuing Policy and Imperfect Rework

Lee¹,

Chiu²,

Chang³

2011

AJIBM

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“…Extra studies have been focused on issues of inevitable imperfect product quality and their consequent quality assurance matters (Henig & Gerchak, 1990;Rahim & BenDaya, 2001;Ma et al, 2010;Chiu et al, 2015;Karunambigai et al, 2015;Boorla & Howard, 2016;Gómez et al, 2016;Jawla & Singh, 2016).…”

Section: Introductionmentioning

confidence: 99%

Alternative fabrication scheme to study effects of rework of nonconforming products and delayed differentiation on a multiproduct supply-chain system

Chiu¹,

Lin²,

Wu³

et al. 2018

10.5267/j.ijiec

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This study uses an alternative fabrication scheme to study the effect of rework of nonconforming items and delayed differentiation on a multiproduct supply-chain system. Traditional economic production quantity model focuses on a single-product inventory system where all products made are assumed to be perfect quality and finished products are issued continuously. To increase machine utilization, lower quality costs in production, and reflect the real-world vendor-buyer integrated systems Chiu et al. (2016a) [Chiu, Y-S.P., Kuo, J-S., Chiu, S. W., Hsieh, Y-T. (2016a). Effect of delayed differentiation on a multiproduct vendor-buyer integrated inventory system with rework. Advances in Production Engineering & Management, 11(4), 333-344.] employed a single-machine two-stage production scheme to study the effects of rework and delayed differentiation on a multi-product supply-chain system. With the intention of further reducing fabrication cycle time, this study considers an alternative two-machine two-stage fabrication scheme to re-explore the problem in Chiu et al. (2016a). Machine one solely produces all common parts for multiple end products. Then, machine two fabricates the customized multiproduct using a common cycle time strategy. Through the use of mathematical modeling and analyses, the optimal production cycle length and distribution policy are derived. Numerical examples are provided to demonstrate practical usage of the research results, and show its significant benefit in reducing fabrication cycle time compared to that obtained from prior studies that used different schemes.

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“…Using the Euler-Lagrange method, the optimal solutions for product reliability parameter and dynamic production rate were obtained. Other papers that addressed various aspects of fabrication systems with defective items or quality improvement issues can also be found elsewhere [16][17][18][19][20][21][22][23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Solving a Fabrication Lot-Size and Shipping Frequency Problem with an Outsourcing Policy and Random Scrap

Chiu

Liang

Chiu

2016

MCA

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Abstract:Operating in unstable and competitive globalized markets, management of today's transnational enterprises continually searches for different alternatives to maintain product quality, streamline production activities, and reduce overall operating costs, particularly in their internal supply chain system. With the aim of revealing and offering insight information to support managerial decision making, this study explores the optimal replenishment lot-size and shipping frequency problem for an intra-supply chain system with a partial outsourcing policy and random scrap. In this study, the demand of a product is partially outsourced and partially fabricated by the production units, to release the workload of machine and smooth production schedule. During the fabrication process, a portion of random scrap items is produced, and finished products are distributed to sales locations using a multiple-shipment policy. The objective is to simultaneously determine an optimal fabrication lot-size and shipping frequency decisions that minimize the overall expected costs for such an intra-supply chain system. Mathematical modeling and optimization methods are used to solve the problem. Moreover, through the use of a numerical example and sensitivity analyses, various important insights with regard to the joint effects of the partial outsourcing policy and random scrap on the optimal solutions are revealed to support managerial decision making.

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An optimal common production cycle time for imperfect production processes with scrap

Cited by 41 publications

References 14 publications

On Improving Replenishment Lot Size of an Integrated Manufacturing System with Discontinuous Issuing Policy and Imperfect Rework

On Improving Replenishment Lot Size of an Integrated Manufacturing System with Discontinuous Issuing Policy and Imperfect Rework

Alternative fabrication scheme to study effects of rework of nonconforming products and delayed differentiation on a multiproduct supply-chain system

Solving a Fabrication Lot-Size and Shipping Frequency Problem with an Outsourcing Policy and Random Scrap

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