Pricing and inventory management in a system with multiple competing retailers under (r, Q) policies

Guan, Ruoxi; Zhao, Xuebing

doi:10.1016/j.cor.2010.12.005

Cited by 20 publications

(8 citation statements)

References 44 publications

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“…2 )] is jointly concave in 1 and 2 . Equation (9) can be easily obtained by setting (12) to zero and solving them simultaneously, so Proposition 1 is proven.…”

Section: Centralized Pricing Model (Cd Model)mentioning

confidence: 97%

“…Those uncertainties are usually associated with the product supply, the customer demand, and so on. There is an abundant literature that describes uncertainty in demand and/or lead time using probability distributions with known parameters, for example, Khan et al [10], Zhang et al [11], Guan and Zhao [12], and so forth. However, in many cases where there is little or no historical data available to the decision maker, perhaps due to recent changes in the supply chain, probability distribution may simply not be available or may not be easily or accurately estimated [13].…”

Section: Introductionmentioning

confidence: 99%

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Pricing Decisions of Two Complementary Products in a Fuzzy Environment

Wang

Zhao

Wei

2014

Mathematical Problems in Engineering

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Pricing decisions of two complementary products in a fuzzy environment are considered in this paper. The purpose of this paper is to analyze the changes of the optimal retail pricing of two complementary products under two different decentralized decision scenarios (e.g., Nash game case and Stackelberg game case). As a reference model, the centralized pricing model is also established. The closed-form optimal pricing decisions of the two complementary products are obtained in the above three decision scenarios. Some interesting management insights into how pricing decisions vary with decision scenarios are given.

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“…2 )] is jointly concave in 1 and 2 . Equation (9) can be easily obtained by setting (12) to zero and solving them simultaneously, so Proposition 1 is proven.…”

Section: Centralized Pricing Model (Cd Model)mentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Pricing Decisions of Two Complementary Products in a Fuzzy Environment

Wang

Zhao

Wei

2014

Mathematical Problems in Engineering

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“…Different methods are used for raw materials and merchandise, works--in-progress and semi-finished products, and finished goods. A key objective of inventory management still remains to optimise (Xu et al 2012;Agrawal and Smith 2013) levels which provide a minimisation of direct and indirect costs of inventory maintenance-inventoriable costs-and at the same time, provide for a continuation of supplies and sales (Guan and Zhao 2011).…”

Section: Financial Aspects Of Inventory Management-existing Documentamentioning

confidence: 99%

Financial aspects of changes in the level of finished goods inventory in a mining enterprise

Jonek-Kowalska¹

2014

Gospodarka Surowcami Mineralnymi

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Streszczenie W niniejszym artykule problem badawczy sformułowano następująco: Jakie czynniki wpły- wają na zmiany poziomu zapasów w polskich przedsiębiorstwach górniczych i jakie są finansowe konsekwencje tych zmian? Zgodnie z wynikami przeprowadzonych analiz wśród istotnych zmian wpływających na zapotrzebowanie na węgiel kamienny można wskazać przede wszystkim zmiany w strukturze źródeł zaspokajania potrzeb energetycznych w Polsce oraz zmienność cen na między- narodowych rynkach węgla kamiennego. Przy czym pierwsze z wymienionych, w świetle przed- stawionych danych, postępują stosunkowo wolno, nie są więc główną przyczyną pogorszenia zbytu i kumulacji zapasów. Do skutków nadmiernego poziomu zapasów należy zaliczyć: wydłużenie cyklu obrotowości zapasów w dniach, obniżenie poziomu płynności szybkiej oraz wyraźne zmniejszenie operacyjnych przepływów pieniężnych. Przedsiębiorstwo ponosi także pośrednie koszty utrzymania zapasów, tracąc możliwości alternatywnego wykorzystania środków zamrożonych w zapasach oraz poszukując dodatkowych źródeł finansowania działalności operacyjnej.

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“…Zhang et al (2015) concentrated on how to improve the efficiency of a supply chain for deteriorating items with a revenue sharing and cooperative investment contract. Guan et al (2011) showed that in a VMI system with (r, Q) policy, when there is a franchising contract for retailer with ownership, the system achieves the same performance as in centralized control.…”

Section: Introductionmentioning

confidence: 99%

Pricing and inventory decisions in a vendor managed inventory system with revenue sharing contract

Haji¹,

Afzalabadi²,

Rasoul³

2018

10.5267/j.uscm

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In this paper, we design a revenue sharing contract to coordinate pricing and inventory control decisions in a serial supply chain consisting of one supplier, one manufacturer and one retailer. We assume that the retailer faces Poisson demand and his unsatisfied demands will be lost. The retailer applies one-for-one period policy in which he constantly places an order for one unit of product to the manufacturer in a predetermined time interval which results in a deterministic demand for the manufacturer. Solution procedures are developed to find the equilibrium in the Vendor Managed Inventory (VMI) program with a revenue sharing contract, in which no party is willing to deviate from for the sake of maximizing his own profit. Furthermore, we formulate the total profit of the system and obtain the optimal retail price and order cycle for the retailer and the inventory policy of manufacturer which maximizes the supply chain's total profit and at the end we will highlight the revenue sharing contract performance.

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Pricing and inventory management in a system with multiple competing retailers under (r, Q) policies

Cited by 20 publications

References 44 publications

Pricing Decisions of Two Complementary Products in a Fuzzy Environment

Pricing Decisions of Two Complementary Products in a Fuzzy Environment

Financial aspects of changes in the level of finished goods inventory in a mining enterprise

Pricing and inventory decisions in a vendor managed inventory system with revenue sharing contract

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