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Optimal order quantity and selling price over a product life cycle with deterioration rate linked to expiration date

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  • Wu, Jiang
  • Chang, Chun-Tao
  • Teng, Jinn-Tsair
  • Lai, Kuei-Kuei

Abstract

It is evident that the lower the price, the higher the demand. Therefore, price is an important factor in a consumer's purchasing decision. Additionally, for today's health-conscious consumers, product freshness is another important factor in purchasing decisions. Since product freshness declines over time, today's health-conscious consumers prefer a perishable product with a longer “sell-by” date to a shorter one. Moreover, a product's demand rate moving through its life cycle can be approximately represented by a trapezoid-type pattern which includes constant demand, increasing demand, and decreasing demand as special cases. In existing literature, several researchers have developed inventory models for trapezoidal demand. However, they failed to consider pricing strategy, product freshness linked to expiration date, and purchasing cost. In this study, we enhance previous models by (1) taking pricing into consideration, (2) exploring deterioration rate linked to expiration date, and (3) adding an appropriate non-constant purchasing cost. We then derive theoretical results, and run numerical examples to obtain managerial insights. For instance, the total profit without purchasing cost is significantly lower than that with purchasing cost included. Also, if the cost of lost sales is improperly low, then the total profit may become negative due to a large amount of lost sales.

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  • Wu, Jiang & Chang, Chun-Tao & Teng, Jinn-Tsair & Lai, Kuei-Kuei, 2017. "Optimal order quantity and selling price over a product life cycle with deterioration rate linked to expiration date," International Journal of Production Economics, Elsevier, vol. 193(C), pages 343-351.
  • Handle: RePEc:eee:proeco:v:193:y:2017:i:c:p:343-351
    DOI: 10.1016/j.ijpe.2017.07.017
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    References listed on IDEAS

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    10. Feng, Lin & Wang, Wan-Chih & Teng, Jinn-Tsair & Cárdenas-Barrón, Leopoldo Eduardo, 2022. "Pricing and lot-sizing decision for fresh goods when demand depends on unit price, displaying stocks and product age under generalized payments," European Journal of Operational Research, Elsevier, vol. 296(3), pages 940-952.
    11. Sebatjane, Makoena & Adetunji, Olufemi, 2020. "A three-echelon supply chain for economic growing quantity model with price- and freshness-dependent demand: Pricing, ordering and shipment decisions," Operations Research Perspectives, Elsevier, vol. 7(C).
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    15. Qingren He & Shuting Li & Fei Xu & Wanhua Qiu, 2022. "Deep-Processing Service and Pricing Decisions for Fresh Products with the Rate of Deterioration," Mathematics, MDPI, vol. 10(5), pages 1-19, February.
    16. Feng, Lin & Chan, Ya-Lan, 2019. "Joint pricing and production decisions for new products with learning curve effects under upstream and downstream trade credits," European Journal of Operational Research, Elsevier, vol. 272(3), pages 905-913.
    17. Biswajit Sarkar & Bikash Koli Dey & Mitali Sarkar & Ali AlArjani, 2021. "A Sustainable Online-to-Offline (O2O) Retailing Strategy for a Supply Chain Management under Controllable Lead Time and Variable Demand," Sustainability, MDPI, vol. 13(4), pages 1-26, February.
    18. Mei-Chuan Cheng & Chun-Tao Chang & Tsu-Pang Hsieh, 2023. "An Inventory Model with Advertisement- and Customer-Relationship-Management-Sensitive Demand for a Product’s Life Cycle," Mathematics, MDPI, vol. 11(6), pages 1-16, March.
    19. Feng, Lin & Teng, Jinn-Tsair & Zhou, Fangting, 2023. "Pricing and lot-sizing decisions on buy-now-and-pay-later installments through a product life cycle," European Journal of Operational Research, Elsevier, vol. 306(2), pages 754-763.

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