Multi-product production quantity model with repair failure and partial backordering

Taleizadeh, Ata Allah; Wee, Hui–Ming; Sadjadi, Seyed Jafar

doi:10.1016/j.cie.2010.02.015

Cited by 74 publications

(23 citation statements)

References 30 publications

(30 reference statements)

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“…Then Taleizadeh et al (2010b) developed their previous work by adding partial backordering and service level constraint, but rework was not considered. Taleizadeh et al (2010c) developed a multi product single machine economic production quantity model with service level constraint, random defective rate, partial backordering and rework process in which the cycle length, production quantity and back ordered quantity of each product are the decision variables. Sana (2011) investigated an integrated production and inventory model for distributor, manufacturer and retailer in a supply chain with perfect and imperfect quality items.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Pricing, inventory and production policies in a supply chain of pharmacological products with rework process: a game theoretic approach

Taleizadeh

Noori-daryan

2015

Oper Res Int J

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In this paper, an economic production quantity model in a three levels supply chain including multiple non-competing suppliers, single manufacturer and multiple non-competing retailers for multiple products with rework process under integrated and non-integrated structures is developed. In this chain, suppliers ship raw material to the manufacturer and the manufacturer combines the fixed percentage of different kinds of raw material to produce the finished products and then delivers them to the retailers. The Stackelberg game is established among the members of the chain. Optimizing the total profit of the chain under both structures applying the optimal pricing, inventory and production policies is the purpose of the research. Eventually, a numerical example is presented for comparing the total profit of the integrated and non-integrated chains of proposed model and some sensitivity analyses are performed to study the effects of parameter changes on the decision variables and the chain profit.

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Section: Introduction and Literature Reviewmentioning

confidence: 99%

Pricing, inventory and production policies in a supply chain of pharmacological products with rework process: a game theoretic approach

Taleizadeh

Noori-daryan

2015

Oper Res Int J

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“…Shortage is not permitted and the production costs consist of production, setup, holding, and transportation costs. Since all products are manufactured by a single machine with a limited capacity, a unique cycle length for all items is considered, i.e, 1 2 n Taleizadeh et al 2010aTaleizadeh et al , 2010bTaleizadeh et al , 2010c. The purpose of this paper is to determine the optimal replenishment period, the delivery quantity and the number of delivery to minimize the total production inventory cost with space and capacity constraints.…”

Section: Model Developmentmentioning

confidence: 99%

Multi products single machine economic production quantity model with multiple batch size

Taleizadeh¹,

Widyadana²,

Wee³

et al. 2011

IJIEC

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In this paper, a multi products single machine economic production quantity model with discrete delivery is developed. A unique cycle length is considered for all produced items with an assumption that all products are manufactured on a single machine with a limited capacity. The proposed model considers different items such as production, setup, holding, and transportation costs. The resulted model is formulated as a mixed integer nonlinear programming model. Harmony search algorithm, extended cutting plane and particle swarm optimization methods are used to solve the proposed model. Two numerical examples are used to analyze and to evaluate the performance of the proposed model.

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“…Unlike the conventional EMQ model (Taft, 1918) which finds the most economic manufacturing lot size with simple assumptions of perfect product quality and continuous issuing policy; in real world, nonconforming items are sometimes produced, due to diverse unexpected factors in fabrication process (Mak, 1985;Henig & Gerchak, 1990;Boone et al, 2000;Maddah et al, 2010;Chiu et al, 2015a,b;Kim et al, 2015;Koley et al, 2015;Koren & Palčič, 2015;Jindal & Solanki, 2016;Zhang et al, 2016;Dhaiban et al, 2017). Reworking and repairing the nonconforming items can help reduce total manufacturing costs (Yum & McDowell, 1987;Zargar, 1995;Inderfurth, 2006;Taleizadeh et al, 2010;Chiu et al, 2016a,b;Jawla & Singh, 2016;Khanna et al, 2017). Besides, when finished items are to be distributed to outside locations, the discontinuous multi-shipment policy is practically used rather than the continuous policy.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling for exploring the effects of overtime option, rework, and discontinuous inventory issuing policy on EMQ model

Chiu¹,

Lin²,

Chou³

et al. 2018

10.5267/j.ijiec

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This study employs mathematical modeling to explore the effects of overtime option, rework, and discontinuous end-item issuing policy on the economic manufacturing quantity (EMQ) model. Conventional EMQ model assumed that all products fabricated are of good quality and are issued under continuous policy. In real world, however, nonconforming items are randomly produced, due to diverse unexpected factors in fabrication process. When finished items are to be distributed to outside locations, discontinuous multi-shipment policy is often used rather than continuous rule. In addition, with the intention of increasing short-term capacity or shortening replenishment cycle length to smooth the production planning, adopting overtime option can be an effective strategy. To cope with the aforementioned features in real production systems, this study incorporates overtime option, rework, and multi-shipment policy into the EMQ model and explores their joint effects on optimal lot size and number of shipments, and on other relevant system parameters. Mathematical modeling and Hessian matrix equations enable us to derive the optimal policies to the problem. Through the use of numerical example, the applicability of research result is exhibited and a variety of significant effects of these features on the proposed system are revealed.

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Multi-product production quantity model with repair failure and partial backordering

Cited by 74 publications

References 30 publications

Pricing, inventory and production policies in a supply chain of pharmacological products with rework process: a game theoretic approach

Pricing, inventory and production policies in a supply chain of pharmacological products with rework process: a game theoretic approach

Multi products single machine economic production quantity model with multiple batch size

Mathematical modeling for exploring the effects of overtime option, rework, and discontinuous inventory issuing policy on EMQ model

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