Abstract
We consider a one-period two-echelon supply chain composed of a loss-averse supplier with yield randomness and a loss-averse retailer with demand uncertainty. At the beginning of the selling season, the retailer orders from the supplier via the wholesale price contract, and then the supplier makes his production decision. We derive the loss-averse retailer’s optimal ordering policy and the loss-averse supplier’s optimal production policy under these conditions. In addition, we discuss the effect of loss aversion on both parties’ decision making and show how loss aversion contributes to decision bias. Furthermore, we find that the loss-averse retailer’s optimal order quantity may increase in wholesale price and decrease in retail price which is differ from the risk-neutral case where the optimal order quantity is always decreasing in wholesale price and increasing in retail price. Finally, numerical examples are presented to illustrate how loss aversion and yield variance contribute to the supply chain performance.
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Notes
The well-known “double marginalization” is discovered by Spengler (1950) and explain such a phenomenon that each party in the supply chain independently seeks high-profit margins, and as a result, the price is higher and sales volume and profits are lower than that of a vertically integrated channel.
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Acknowledgments
This research was supported by National Natural Science Foundation of China (Grant Nos. 71571171, 71271199, 71601175), Program for New Century Excellent Talents in University (Grant No. NCET-13-0538), Key International (Regional) Joint Research Program (Grant No. 7152107002) and the Fundamental Research Funds for the Central Universities of China (Grant Nos. WK2040160008, WK2040160016).
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Appendices
Appendix A
Proof of Theorem 3.2
(1) From Eq. (3), we obtain
and
Hence, there exists a unique optimal order quantity that satisfies the first-order condition Eq. (4).
(2) From the first-order condition Eq. (4), we can find that \(Q_\lambda ^*\) is related to the retailer’s ordered quantity q. Therefore, by the implicit function theorem,
and
We can prove that \(Q_\lambda ^*\) is a linear function on the retailer’s ordered quantity q, denoted as \(Q_\lambda ^*(q) = Kq\). \(\square \)
Proof of Theorem 3.3
After substituting \(Q_1^*\) into \(dE\left[ {U\left( {{\Pi ^S}(Q)} \right) } \right] /dQ\), we get
According to Eq. (5), \(dE\left[ {U\left( {{\Pi ^S}(Q_1^*)} \right) } \right] /dQ\) reduces to
Therefore, if \({L_1}(Q_1^*) > {L_2}(Q_1^*)\), then \(dE\left[ {U\left( {{\Pi ^S}(Q_1^*)} \right) } \right] /dQ > 0\). Since \(E\left[ {U\left( {{\Pi ^S}(Q)} \right) } \right] \) is concave, so \(Q_\lambda ^* > Q_1^*\), which in turn implies \(\left( {w + {\beta _s} + {h_s}} \right) \int _0^{q/Q_\lambda ^*} {uf\left( u \right) du - } {h_s}\mu - c < 0\) based on Eq. (5). Thus, from the first-order condition Eq. (4),
Therefore, by the implicit function theorem,
Furthermore, as
Therefore,
Similarly, we can prove that if \({L_1}(Q_1^*) \le {L_2}(Q_1^*)\), then \(Q_\lambda ^* \le Q_1^*\), \(dQ_\lambda ^*/d{\lambda _s} \le 0\) and \(dK/d{\lambda _s} \le 0\). \(\square \)
Proof of Theorem 3.4
(1) According to the implicit function theorem,
where,
So, \(dQ_\lambda ^*/d{\beta _s} > 0\).
(2) According to the implicit function theorem,
where,
So, \(dQ_\lambda ^*/d{h_s} < 0\). \(\square \)
Proof of Theorem 3.6
From Eq. (8), we get
and
Hence, there exists a unique optimal order quantity \(q_\lambda ^*\) that satisfies the first-order condition Eq. (9). \(\square \)
Proof of Theorem 3.8
Proof is similar to the proof of Theorem 3.3.
After substituting \(q_1^*\) into \(dE\left[ {U\left( {{\Pi ^R}(q)} \right) } \right] /dq\), we get
According to Eq. (10), \(dE\left[ {U\left( {{\Pi ^R}(q_1^*)} \right) } \right] /dq\) reduces to
Therefore, if \({l_1}(q_1^*) > {l_2}(q_1^*)\), then \(dE\left[ {U\left( {{\Pi ^R}(q_1^*)} \right) } \right] /dq > 0\). Since \(E\left[ {U\left( {{\Pi ^R}(q)} \right) } \right] \) is concave, so \(q_\lambda ^* > q_1^*\), which in turn implies
Thus, from the first-order condition Eq. (9), \({l_1}(q_\lambda ^*) > {l_2}(q_\lambda ^*)\). Therefore, by the implicit function theorem,
Similarly, we can prove that if \({l_1}(q_1^*) \le {l_2}(q_1^*)\), then \(dq_\lambda ^*/d{\lambda _r} \le 0\). \(\square \)
Proof of Theorem 3.9
(1) According to the implicit function theorem,
where,
Thus, \(dq_\lambda ^*/d{\beta _r} > 0\).
(2) According to the implicit function theorem,
where,
Thus, \(dq_\lambda ^*/d{h_r} < 0\).
(3) According to the implicit function theorem,
where,
Let \({Z_1}\left( {q_\lambda ^*} \right) = - {d^2}E\left[ {U\left( {{\Pi ^R}(q_\lambda ^*)} \right) } \right] /dqdw\), thus, if \({Z_1}\left( {q_\lambda ^*} \right) < 0\), then \(dq_\lambda ^*/dw > 0\); otherwise \(dq_\lambda ^*/dw \le 0\).
(4) According to the implicit function theorem,
where,
Let \({Z_2}\left( {q_\lambda ^*} \right) = {d^2}E\left[ {U\left( {{\Pi ^R}(q_\lambda ^*)} \right) } \right] /dqdp\), thus, if \({Z_2}\left( {q_\lambda ^*} \right) < 0\), then \(dq_\lambda ^*/dp < 0\), otherwise \(dq_\lambda ^*/dp \ge 0\). \(\square \)
Appendix B
See Table 3.
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Du, S., Zhu, Y., Nie, T. et al. Loss-averse preferences in a two-echelon supply chain with yield risk and demand uncertainty. Oper Res Int J 18, 361–388 (2018). https://doi.org/10.1007/s12351-016-0268-3
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DOI: https://doi.org/10.1007/s12351-016-0268-3