2014
DOI: 10.1080/00207543.2014.886790
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Random yield and coordination mechanisms of a supply chain with emergency backup sourcing

Abstract: This paper considers a supply chain in which a buyer purchases finished items from a contracting supplier to satisfy a stochastic market demand, where the supplier's production is subject to random yield. We assume that the buyer can make up the shortage by sourcing from an emergency backup supplier. We develop two Stackelberg game models, i.e. buyer-Stackelberg (BS) model and supplier-Stackelberg (SS) model, and find that the decentralised BS model results in a higher stocking factor of supplier's input than … Show more

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Cited by 62 publications
(29 citation statements)
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“…Tang and Kouvelis (2011) studied the benefits of supplier diversification for dual-procurement duopolists. Existing literature also investigates the benefits of emergency/contingency sourcing (Tomlin 2006(Tomlin , 2009Chopra, Reinhardt, and Mohan 2007;Kouvelis and Li 2012;Chen and Yang 2014;Gupta, He, and Sethi 2015). Kouvelis and Li (2012) examined the potential use of two contingency strategies on top of a conventional time buffer -statically planned safety lead-time approach to address lead-time uncertainty.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Tang and Kouvelis (2011) studied the benefits of supplier diversification for dual-procurement duopolists. Existing literature also investigates the benefits of emergency/contingency sourcing (Tomlin 2006(Tomlin , 2009Chopra, Reinhardt, and Mohan 2007;Kouvelis and Li 2012;Chen and Yang 2014;Gupta, He, and Sethi 2015). Kouvelis and Li (2012) examined the potential use of two contingency strategies on top of a conventional time buffer -statically planned safety lead-time approach to address lead-time uncertainty.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In recent years, scholars and practitioners have devoted study to the emergency management issues of supply chain [1][2][3][4][5][6][7][8][9]. Fereiduni and Shahanaghi [1] presented a multiperiod model for the blood supply chain in an emergency situation to optimize decisions related to locating blood facilities and distributing blood products after natural disasters.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In addition, in our paper, we assume that the supply disruption affects the overall yield of the supplier who can deliver partial order quantity under disruption, and not modeled as accepting or rejecting a batch such as Taleizadeh (). Specifically, we use the random yield modeling approach (Yano and Lee, ; Dada et al., ; Cho and Tang, ; Chen and Yang, ) in our study, that is, in this model, the quantity received by a buyer is a random fraction of the quantity ordered from the disrupted supplier. Thus, a zero‐percent yield in our model becomes a special case of rejecting a batch.…”
Section: Introductionmentioning
confidence: 99%