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Strategic Selection of Remanufacturing Business Models: A Consumer Perception Perspective

Zhongxin Hu, Christina Imdahl, Zumbul Atan

TL;DR

The paper investigates how consumer perceptions shape the optimal remanufacturing strategy for OEMs, comparing no-remanufacturing, in-house remanufacturing, and TPR-authorized remanufacturing under stochastic market size. It couples a refined consumer-utility model with assimilation/contrast effects and a two-part tariff contract to derive pricing/quantity decisions, solved numerically due to discrete quantities. Key findings show high perceived value of remanufacturing favors in-house remanufacturing; moderate perceived value with strong contrast effects favors TPR authorization; two-part tariffs improve environmental alignment even when not always profit-maximizing. The work offers a hierarchical roadmap for model selection and demonstrates that market-size stochasticity can raise profitability while not excessively increasing environmental impact, informing sustainable circular-economy decisions.

Abstract

As a key circular economy strategy, remanufacturing allows original equipment manufacturers (OEMs) to reduce waste by restoring used products to ``as-new'' conditions. This paper investigates an OEM's optimal remanufacturing business model by incorporating consumer perceptions into price and production quantity decisions. We analyze three alternative models: no remanufacturing, OEM in-house remanufacturing, and third-party remanufacturer (TPR) authorized remanufacturing. We extend the authorization with a two-part tariff contract and consider a stochastic market size. Through a numerical approach, we optimize price and quantity decisions based on consumer perceptions and develop a hierarchical decision roadmap to guide model selection. Our findings show that when consumer's perceived value of remanufactured products is high, OEM in-house remanufacturing is most profitable and reduces environmental impacts, but generally leads to a market dominated by remanufactured products. In contrast, when consumer's perceived value of remanufactured products is moderate and TPR remanufacturing significantly increases the perceived value of new products, the TPR-authorized remanufacturing is most profitable. It typically boosts total market sales, but accordingly increases environmental impacts. In addition, sensitivity analysis indicates that two-part authorization contracts are more advanced in meeting stringent environmental requirements than one-part contracts. Incorporating market size stochasticity enhances system profitability while keeping environmental impacts within a limited scope.

Strategic Selection of Remanufacturing Business Models: A Consumer Perception Perspective

TL;DR

The paper investigates how consumer perceptions shape the optimal remanufacturing strategy for OEMs, comparing no-remanufacturing, in-house remanufacturing, and TPR-authorized remanufacturing under stochastic market size. It couples a refined consumer-utility model with assimilation/contrast effects and a two-part tariff contract to derive pricing/quantity decisions, solved numerically due to discrete quantities. Key findings show high perceived value of remanufacturing favors in-house remanufacturing; moderate perceived value with strong contrast effects favors TPR authorization; two-part tariffs improve environmental alignment even when not always profit-maximizing. The work offers a hierarchical roadmap for model selection and demonstrates that market-size stochasticity can raise profitability while not excessively increasing environmental impact, informing sustainable circular-economy decisions.

Abstract

As a key circular economy strategy, remanufacturing allows original equipment manufacturers (OEMs) to reduce waste by restoring used products to ``as-new'' conditions. This paper investigates an OEM's optimal remanufacturing business model by incorporating consumer perceptions into price and production quantity decisions. We analyze three alternative models: no remanufacturing, OEM in-house remanufacturing, and third-party remanufacturer (TPR) authorized remanufacturing. We extend the authorization with a two-part tariff contract and consider a stochastic market size. Through a numerical approach, we optimize price and quantity decisions based on consumer perceptions and develop a hierarchical decision roadmap to guide model selection. Our findings show that when consumer's perceived value of remanufactured products is high, OEM in-house remanufacturing is most profitable and reduces environmental impacts, but generally leads to a market dominated by remanufactured products. In contrast, when consumer's perceived value of remanufactured products is moderate and TPR remanufacturing significantly increases the perceived value of new products, the TPR-authorized remanufacturing is most profitable. It typically boosts total market sales, but accordingly increases environmental impacts. In addition, sensitivity analysis indicates that two-part authorization contracts are more advanced in meeting stringent environmental requirements than one-part contracts. Incorporating market size stochasticity enhances system profitability while keeping environmental impacts within a limited scope.

Paper Structure

This paper contains 23 sections, 23 equations, 10 figures, 3 tables.

Figures (10)

  • Figure 1: Model Structure
  • Figure 2: Timeline
  • Figure 3: Region chart of $\Lambda_n$ and $\Lambda_r$ with $\beta^- \in [-1,0]$
  • Figure 4: Region chart of $\Lambda_n$ and $\Lambda_r$ with $\beta^+ \in [0,1]$
  • Figure 5: Model selection map
  • ...and 5 more figures