Optimizing shipment, ordering and pricing policies in a two-stage supply chain with price-sensitive demand

Sajadieh, Mohsen S.; Jokar, Mohammad Reza Akbari

doi:10.1016/j.tre.2008.12.002

Cited by 83 publications

(56 citation statements)

References 26 publications

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“…They assumed that the customer demand is linearly dependent on the selling price. Sajadieh and Akbari Jokar (2009) also studied JELS model while assuming demand is linearly price-sensitive and EP used to ship the products from the vendor to the buyer. They showed that it is more beneficial for the supply chain members to cooperate with each other when the demand is price-sensitive.…”

Section: Introductionmentioning

confidence: 99%

A new hybrid algorithm of scatter search and Nelder–Mead algorithms to optimize joint economic lot sizing problem

Sarakhsi

Ghomi

Karimi

2016

Journal of Computational and Applied Mathematics

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This paper introduces a hybrid algorithm of Nelder-Mead and scatter search algorithms called SSNM. Numerical results for some known test problems with varying dimensions from 2 to 100 variables prove its great performance for a bounded or constrained problem. This paper also has a considerable contribution to the joint economic lot sizing (JELS) problem literature. This problem is considered for a two-stage supply chain with price-sensitive demand for geometric, geometric-thenequal size and optimal shipment policies. Solution procedures are also developed which use the SSNM algorithm in their steps. These models and solution procedures are novel in the JELS literature.

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Section: Introductionmentioning

confidence: 99%

A new hybrid algorithm of scatter search and Nelder–Mead algorithms to optimize joint economic lot sizing problem

Sarakhsi

Ghomi

Karimi

2016

Journal of Computational and Applied Mathematics

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“…In their models, the total demand and production rates are assumed to be constant and deterministic. Sajadieh et al [18] developed an integrated production inventory marketing model to determine the relevant profit-maximizing decision variable values when demand is price sensitive. Lee and Wang [19] addressed an integrated three-level JELS problem with freight rate discounts.…”

Section: Introductionmentioning

confidence: 99%

Coordinating supplier retailer and carrier with price discount policy

Yong

Dai

2016

Applied Mathematical Modelling

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a b s t r a c tSupply chain coordination with transport service providers (i.e., carriers) is seldom explored. This paper adds a carrier to a supplier-retailer system and analyzes the effect of the two sources of double marginalization on pricing policies. We assume that lead time demand is stochastic, and shortage during the lead time is permitted. In addition, we assume that the annual average demand rate is a decreasing function of the retail price. Our analysis shows that joint profit increases because demand increases, whereas unit operating cost decreases as a result of joint coordination. The analytical results for the decentralized and joint decision models are obtained for a specific annual average demand rate. Nonlinear transport-fee and wholesale-price discount schemes, which can facilitate supply chain coordination, are then obtained using the profit sharing method. Finally, numerical examples are presented for illustrative and comparative purposes.

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“…Zavanella and Zanoni [12] have investigated the Consignment Stock (CS) policy on Vendor-Managed Inventory (VMI) model and showed that CS policy is works better than the uncoordinated optimization and is implemented for an industrial case of a single-vendor and multiple-buyer production situation. Jokar and Sajadieh [13] have described a vendor-buyer integrated production inventory model considering Joint Economic Lot Sizing (JELS) policy with price sensitive linear demand of the customer. Qi et al [14] described supply chain coordination with demand disruption.…”

Section: Introductionmentioning

confidence: 99%

Supply Chain Optimization by Mixed Integer Program for Manufacturer and Retailer System of Poultry firm in Bangladesh

Islam¹,

Uddin

Alam

2016

GANIT: J. Bangladesh Math. Soc.

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In this study, we formulate mixed integer program for manufacturer and retailer system of poultry firm in Bangladesh that is one of the most promising sectors to increase Gross Domestic Product (GDP) growth rate plus equitable distribution through arranging food security as well as ensuring self-employment, creating purchasing power and reducing poverty at a large scale. From the survey, it has observed that the selling price of eggs and chicken fluctuate depending on the natural calamities. We have made a question survey on some poultry firm in the district of Mymensingh and Gazipur. This paper maximized the profit and minimizes the cost. The formulated mixed integer program has solved by branch and bound algorithm using A Mathematical Programming Language (AMPL). It has observed that the profit and selling price have very good relationship with production cost and raw materials cost but no significant relation with fixed cost.

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Optimizing shipment, ordering and pricing policies in a two-stage supply chain with price-sensitive demand

Cited by 83 publications

References 26 publications

A new hybrid algorithm of scatter search and Nelder–Mead algorithms to optimize joint economic lot sizing problem

A new hybrid algorithm of scatter search and Nelder–Mead algorithms to optimize joint economic lot sizing problem

Coordinating supplier retailer and carrier with price discount policy

Supply Chain Optimization by Mixed Integer Program for Manufacturer and Retailer System of Poultry firm in Bangladesh

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