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Title A distribution free newsvendor model with consignment policy and retailer's royalty reduction
ID_Doc 74515
Authors Sarkar, B; Zhang, C; Majumder, A; Sarkar, M; Seo, YW
Title A distribution free newsvendor model with consignment policy and retailer's royalty reduction
Year 2018
Published International Journal Of Production Research, 56, 15
DOI 10.1080/00207543.2017.1399220
Abstract Reducing the system cost and achieving significant profit are the key factors for every successful business sector. A consignment contract under distribution-free approach may be a fruitful combination to achieve a profitable business. This model deals with a single-period newsvendor problem with a consignment policy. The consignment policy is an agreement between any two parties, named as the consignor and the consignee. Under Stackelberg approach, firms act as leader and follower. Both parties carry some parts of the holding cost instead of one. A new policy for paying the fixed fee to the consignee is introduced. This paper considers no specific probability distribution for customer's demand except a known mean and standard deviation. An efficient approach is proposed to reduce the retailer's cost and building a sustainable consignment contract. The solution of this model is obtained using distribution free approach. A comparison between the traditional supply chain policy and the consignment policy is established. The price-sensitivity on demand is analysed. Some numerical examples and graphical representations are given for both traditional and consignment policy. Result proves that consignment policy is dominating over the traditional policy and a significant reduction of retailer's royalty is found.
Author Keywords newsvendor; consignment stock; distribution free approach; retailer's royalty reduction; supply chain management
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000443995900003
WoS Category Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science
Research Area Engineering; Operations Research & Management Science
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