Coordinating manufacturer and retailer using a novel robust discount scheme

Tabrizi, Mohammad Mohajer; Navidi, Hamidreza; Salmasnia, Ali; Mohebbi, Cyrus

doi:10.1504/ijads.2012.047670

Cited by 2 publications

(1 citation statement)

References 32 publications

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“…[4] considered a robust discount scheme that can be incorporated into this study as a future research. Giri and Chakraborty [5] considered a multisupplier multi-buyer problem with stochastic demand and only one objective function maximizing the expected pro t of the system.…”

Section: Introductionmentioning

confidence: 99%

Model and optimization of the multi-objective single-buyer multi-vendor integrated inventory problem with multiple quantity discounts

2017

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Abstract. This paper deals with a multi-objective integrated inventory model to coordinate a two-stage supply chain including a single buyer and multiple vendors. The earlier work on the problem is limited to considering only one type of discount. This paper extends the problem under the multiple quantity discount environment. We try to minimize the system cost, number of defective items, number of late delivered items and maximize the total purchasing value. Numerical examples are presented to provide some insights into the proposed model and di erent discount schemes. Results obtained from sensitivity analysis show that changes in unit prices have a relatively large e ect on the objective function; as the upper bounds of discount intervals are reduced, the value of objective function decreases. It is also seen that the order quantity from the suppliers increases as the number of suppliers o ering all unit quantity discounts increases. In addition, we use a solution approach that is not used by previous studies on this problem, and the obtained results show that the DE algorithm, proposed in this study, outperforms the PSO proposed by Kamali et al. [1] in both solution quality and computational time.

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Section: Introductionmentioning

confidence: 99%

Model and optimization of the multi-objective single-buyer multi-vendor integrated inventory problem with multiple quantity discounts

2017

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An Artificial Immune Algorithm for a Closed-Loop Supply Chain Network Design Problem with Different Delivery Paths

Yadegari

Ekhtiari

Zandieh

et al. 2014

International Journal of Strategic Decision Sciences

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The concern about customer satisfaction and transportation cost in the business environment has spurred an interest in designing a flexible logistics network. This paper proposes a multi-delivery path closed-loop supply chain network to find not only the most cost efficient network design but also the best path to deliver the products to customers. To tackle with such an NP-hard problem an Artificial Immune Algorithm (AIA) is modified. To show the efficiency and accuracy of the proposed method numerical experiments are conducted. Consequently, the computational results validate the quality of the proposed approach by comparing them with those of obtained with exact methods.

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Coordinating manufacturer and retailer using a novel robust discount scheme

Cited by 2 publications

References 32 publications

Model and optimization of the multi-objective single-buyer multi-vendor integrated inventory problem with multiple quantity discounts

Model and optimization of the multi-objective single-buyer multi-vendor integrated inventory problem with multiple quantity discounts

An Artificial Immune Algorithm for a Closed-Loop Supply Chain Network Design Problem with Different Delivery Paths

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