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Joint quality and pricing decisions in lot sizing models with defective items

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  • Hauck, Zsuzsanna
  • Rabta, Boualem
  • Reiner, Gerald

Abstract

We investigate joint pricing and quality decisions in a lot sizing model for a single product with imperfect quality. We assume that the company performs an exhaustive quality inspection and discards the defective items detected before the demand is fulfilled. Unlike most of the literature, the time spent on the screening is considered as a decision variable which affects both the screening cost and the proportion of the defects which can be detected. The screening cost and the detection rate are general functions of the screening time to express the cost and efficiency of different detection methods. Additionally, consumer behaviour is considered by the use of a price and quality dependent demand function.

Suggested Citation

  • Hauck, Zsuzsanna & Rabta, Boualem & Reiner, Gerald, 2021. "Joint quality and pricing decisions in lot sizing models with defective items," International Journal of Production Economics, Elsevier, vol. 241(C).
  • Handle: RePEc:eee:proeco:v:241:y:2021:i:c:s0925527321002310
    DOI: 10.1016/j.ijpe.2021.108255
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    References listed on IDEAS

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    1. Jaber, Mohamad Y. & Zanoni, Simone & Zavanella, Lucio E., 2014. "Economic order quantity models for imperfect items with buy and repair options," International Journal of Production Economics, Elsevier, vol. 155(C), pages 126-131.
    2. Salameh, M. K. & Jaber, M. Y., 2000. "Economic production quantity model for items with imperfect quality," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 59-64, March.
    3. Ittner, CD & Larcker, DF, 1998. "Are nonfinancial measures leading indicators of financial performance? An analysis of customer satisfaction," Journal of Accounting Research, Wiley Blackwell, vol. 36, pages 1-35.
    4. Farooq, Muhammad Arsalan & Kirchain, Randolph & Novoa, Henriqueta & Araujo, Antonio, 2017. "Cost of quality: Evaluating cost-quality trade-offs for inspection strategies of manufacturing processes," International Journal of Production Economics, Elsevier, vol. 188(C), pages 156-166.
    5. De Maeyer, Peter & Estelami, Hooman, 2011. "Consumer perceptions of third party product quality ratings," Journal of Business Research, Elsevier, vol. 64(10), pages 1067-1073, October.
    6. Yuan, Guanghui & Han, Jingti & Wang, YaQiong & liang, Hejun & Li, GangYuan, 2019. "The product demand model driven by consumer’s information perception and quality perception," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    7. Khan, Mehmood & Jaber, Mohamad Y. & Bonney, Maurice, 2011. "An economic order quantity (EOQ) for items with imperfect quality and inspection errors," International Journal of Production Economics, Elsevier, vol. 133(1), pages 113-118, September.
    8. San-José, Luis A. & Sicilia, Joaquín & Alcaide-López-de-Pablo, David, 2018. "An inventory system with demand dependent on both time and price assuming backlogged shortages," European Journal of Operational Research, Elsevier, vol. 270(3), pages 889-897.
    9. Abad, P. L. & Aggarwal, Vijay, 2005. "Incorporating transport cost in the lot size and pricing decisions with downward sloping demand," International Journal of Production Economics, Elsevier, vol. 95(3), pages 297-305, March.
    10. Jalali, Hamed & Carmen, Raïsa & Van Nieuwenhuyse, Inneke & Boute, Robert, 2019. "Quality and pricing decisions in production/inventory systems," European Journal of Operational Research, Elsevier, vol. 272(1), pages 195-206.
    11. Ramasesh, Ranga V., 2010. "Lot-sizing decisions under limited-time price incentives: A review," Omega, Elsevier, vol. 38(3-4), pages 118-135, June.
    12. Urban, Timothy L. & Baker, R. C., 1997. "Optimal ordering and pricing policies in a single-period environment with multivariate demand and markdowns," European Journal of Operational Research, Elsevier, vol. 103(3), pages 573-583, December.
    13. Hsieh, Tsu-Pang & Dye, Chung-Yuan, 2017. "Optimal dynamic pricing for deteriorating items with reference price effects when inventories stimulate demand," European Journal of Operational Research, Elsevier, vol. 262(1), pages 136-150.
    14. Hauck, Zsuzsanna & Vörös, József, 2015. "Lot sizing in case of defective items with investments to increase the speed of quality control," Omega, Elsevier, vol. 52(C), pages 180-189.
    15. Buzzell, Robert D., 2004. "The PIMS program of strategy research: A retrospective appraisal," Journal of Business Research, Elsevier, vol. 57(5), pages 478-483, May.
    16. 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.
    17. Pan, Xiaojun & Li, Shoude, 2016. "Dynamic optimal control of process–product innovation with learning by doing," European Journal of Operational Research, Elsevier, vol. 248(1), pages 136-145.
    18. Feng, Lin & Chan, Ya-Lan & Cárdenas-Barrón, Leopoldo Eduardo, 2017. "Pricing and lot-sizing polices for perishable goods when the demand depends on selling price, displayed stocks, and expiration date," International Journal of Production Economics, Elsevier, vol. 185(C), pages 11-20.
    19. Rajiv D. Banker & Inder Khosla & Kingshuk K. Sinha, 1998. "Quality and Competition," Management Science, INFORMS, vol. 44(9), pages 1179-1192, September.
    20. Khan, M. & Jaber, M.Y. & Guiffrida, A.L. & Zolfaghari, S., 2011. "A review of the extensions of a modified EOQ model for imperfect quality items," International Journal of Production Economics, Elsevier, vol. 132(1), pages 1-12, July.
    21. Voros, Jozsef, 2019. "An analysis of the dynamic price-quality relationship," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1037-1045.
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    Cited by:

    1. Hauck, Zsuzsanna & Rabta, Boualem & Reiner, Gerald, 2023. "Coordinating quality decisions in a two-stage supply chain under buyer dominance," International Journal of Production Economics, Elsevier, vol. 264(C).
    2. Wang, Huan & Wang, Daao & Fang, Zhigeng & Zeng, Xiao-Jun, 2024. "Impacts of inspection errors and warranty costs on a complex product supply chain under different development modes," International Journal of Production Economics, Elsevier, vol. 272(C).
    3. Zhang, Yanzi & Berenguer, Gemma & Zhang, Zhi-Hai, 2024. "A subsidized reverse supply chain in the Chinese electronics industry," Omega, Elsevier, vol. 122(C).
    4. Guo, Xiongfei & Chen, Jing, 2023. "Manufacturer’s quality improvement and Retailer’s In-store service in the presence of customer returns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).

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