TY - JOUR
T1 - Coordination of supply chains with risk-averse agents
AU - Gan, Xianghua
AU - Sethi, Suresh P.
AU - Yan, Houmin
PY - 2004/6
Y1 - 2004/6
N2 - The extant supply chain management literature has not addressed the issue of coordination in supply chains involving risk-averse agents. We take up this issue and begin with defining a coordinating contract as one that results in a Pareto-optimal solution acceptable to each agent. Our definition generalizes the standard one in the risk-neutral case. We then develop coordinating contracts in three specific cases: (i) the supplier is risk neutral and the retailer maximizes his expected profit subject to a downside risk constraint; (ii) the supplier and the retailer each maximizes his own mean-variance trade-off; and (iii) the supplier and the retailer each maximizes his own expected utility. Moreover, in case (iii), we show that our contract yields the Nash Bargaining solution. In each case, we show how we can find the set of Pareto-optimal solutions, and then design a contract to achieve the solutions. We also exhibit a case in which we obtain Pareto-optimal sharing rules explicitly, and outline a procedure to obtain Pareto-optimal solutions.
AB - The extant supply chain management literature has not addressed the issue of coordination in supply chains involving risk-averse agents. We take up this issue and begin with defining a coordinating contract as one that results in a Pareto-optimal solution acceptable to each agent. Our definition generalizes the standard one in the risk-neutral case. We then develop coordinating contracts in three specific cases: (i) the supplier is risk neutral and the retailer maximizes his expected profit subject to a downside risk constraint; (ii) the supplier and the retailer each maximizes his own mean-variance trade-off; and (iii) the supplier and the retailer each maximizes his own expected utility. Moreover, in case (iii), we show that our contract yields the Nash Bargaining solution. In each case, we show how we can find the set of Pareto-optimal solutions, and then design a contract to achieve the solutions. We also exhibit a case in which we obtain Pareto-optimal sharing rules explicitly, and outline a procedure to obtain Pareto-optimal solutions.
KW - Coordination
KW - Nash Bargaining solution
KW - Pareto-optimality
KW - Risk aversion
KW - Supply chain management
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-5644266950&origin=recordpage
M3 - 21_Publication in refereed journal
VL - 13
SP - 135
EP - 149
JO - Production and Operations Management
JF - Production and Operations Management
SN - 1059-1478
IS - 2
ER -