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Auteurs principaux: Zhi, Jianing, Qi, Guanqiu, Li, Xinghua
Format: Preprint
Publié: 2025
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Accès en ligne:https://arxiv.org/abs/2507.09635
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author Zhi, Jianing
Qi, Guanqiu
Li, Xinghua
author_facet Zhi, Jianing
Qi, Guanqiu
Li, Xinghua
contents In this paper, we investigate a joint decision-making pattern for a two-stage supply chain network, including a supplier, a company, and its customers. We investigate two types of demand patterns, associated with dependent lead time and service level considerations. We define two novel models, including all-or-nothing selective newsvendor problem (AON-SNP) and selective news Vendor Problem with Dependent Lead Time and Price Related Demands (DLSNP). The proposed models are applicable to numerous areas such as the fashion, furniture, and electronic industries. We develop an efficient solution algorithm, referred to as R-search, to identify an optimal solution for the DL-selectivity problem. We examine various responses of the system through parameter sensitivity analysis. Our model proves that if the total demand is lower than the upper limit of the order quantity, the best strategy for Q is to match that demand. If the market increases, more demand comes in, leading to a shortage, and forcing the company to find other local suppliers to fill the additional demand. The results demonstrate that our model well explains various behavior for all involved parties in the network, and provide guidance on intelligent decision making for the company.
format Preprint
id arxiv_https___arxiv_org_abs_2507_09635
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Selective Newsvendor Problem with Dependent Leadtime and Joint Marketing Decisions
Zhi, Jianing
Qi, Guanqiu
Li, Xinghua
General Economics
Economics
In this paper, we investigate a joint decision-making pattern for a two-stage supply chain network, including a supplier, a company, and its customers. We investigate two types of demand patterns, associated with dependent lead time and service level considerations. We define two novel models, including all-or-nothing selective newsvendor problem (AON-SNP) and selective news Vendor Problem with Dependent Lead Time and Price Related Demands (DLSNP). The proposed models are applicable to numerous areas such as the fashion, furniture, and electronic industries. We develop an efficient solution algorithm, referred to as R-search, to identify an optimal solution for the DL-selectivity problem. We examine various responses of the system through parameter sensitivity analysis. Our model proves that if the total demand is lower than the upper limit of the order quantity, the best strategy for Q is to match that demand. If the market increases, more demand comes in, leading to a shortage, and forcing the company to find other local suppliers to fill the additional demand. The results demonstrate that our model well explains various behavior for all involved parties in the network, and provide guidance on intelligent decision making for the company.
title Selective Newsvendor Problem with Dependent Leadtime and Joint Marketing Decisions
topic General Economics
Economics
url https://arxiv.org/abs/2507.09635