Optimal procurement and pricing policies for inventory models with price and time dependent seasonal demand

Banerjee, Snigdha; Sharma, Ashish

doi:10.1016/j.mcm.2009.10.022

Cited by 31 publications

(11 citation statements)

References 16 publications

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“…Teng and Chang (2005) established an economic production quantity model for deteriorating items when the demand is a function of price and on-display stock level. Banerjee and Sharma (2010) presented a deterministic inventory model for the product with a price-and time-dependent demand rate. In the above mentioned inventory models with pricing strategy, pricing decision is determined under the assumption that the times of changing price are pre-specified.…”

Section: Introductionmentioning

confidence: 99%

Pricing for seasonal deteriorating products with price- and ramp-type time-dependent demand

Wang

Huang

2014

Computers & Industrial Engineering

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Section: Introductionmentioning

confidence: 99%

Pricing for seasonal deteriorating products with price- and ramp-type time-dependent demand

Wang

Huang

2014

Computers & Industrial Engineering

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“…The basic technique to deal problems (28) or (30) is to convert the possibility/necessity constraint to its deterministic equivalent. However, the procedure is usually very hard and successful in some particular cases.…”

Section: Solution Methodologymentioning

confidence: 99%

Inventory Control with Fuzzy Inflation and Volume Flexibility under Random Planning Horizon

Urvashi¹,

Singh²

2013

IJCA

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The objective of this paper is to develop an inventory model with fuzzy inflation and multi variant demand rate. A new demand rate introduced which depends on price, quality and time. Planning horizon is random in nature for manufacturing company. Production rate is taken to be flexible in nature which depends on the technology frequency, capital investment and its elasticity and number of labour. Model is developed for both crisp and fuzzy environment. Numerical example is cited to illustrate the results and its significant features. Finally, to study the effect of changes of quality, inflation and planning horizon sensitivity analysis is carried out.

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“…Models which jointly consider pricing and price-dependent demand are widely discussed and applied in the literature. Banerjeea and Sharmab (2010) analyse procurement and pricing policies for inventory models when the product under consideration has a general price-and time-dependent seasonal demand rate. Maihami and Kamalabadi (2012) develop a joint pricing and inventory control for non-instantaneous items.…”

Section: Literature Reviewmentioning

confidence: 99%

The value of updated information on future price behaviour

Liao¹,

Zequeira²,

Seifert³

2013

International Journal of Production Research

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This paper studies the value of information on future price behaviour. We consider a one-period inventory modelling framework with random period length and two order opportunities. The selling price is determined dynamically and the demand is price-sensitive. The second ordering-pricing decision reflects the updated information on future price behaviour on supply chain flexibility. We consider three models with different levels of flexibility: the static model, the quantity flexible model and the combined quantity and timing (fully) flexible model. We compare between the values of three different features in the supply chain: updated information on price behaviour, dynamic pricing and supply flexibility. And we demonstrate the effect of holding cost and demand uncertainty on these three values. We also consider a specific condition with fixed selling prices. We give explicit analysis on the optimal order decisions, and analytically show the impact of information and quantity flexibility on the optimal order decisions.

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Optimal procurement and pricing policies for inventory models with price and time dependent seasonal demand

Cited by 31 publications

References 16 publications

Pricing for seasonal deteriorating products with price- and ramp-type time-dependent demand

Pricing for seasonal deteriorating products with price- and ramp-type time-dependent demand

Inventory Control with Fuzzy Inflation and Volume Flexibility under Random Planning Horizon

The value of updated information on future price behaviour

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