We consider a supply chain in which distributor procures from producer quantity of fresh product, has to undergo long‐distance transportation reach the target market. During process, make an appropriate effort preserve freshness and his success this respect impacts on both quality product delivered The determine order quantity, level freshness‐keeping effort, selling price, by taking into account wholesale price producer, cost likely spoilage during transportation, possible demand for other...

The objective of consensus clustering is to find a single partitioning which agrees as much possible with existing basic partitionings. Consensus emerges promising solution cluster structures from heterogeneous data. As an efficient approach for clustering, the K-means based method has garnered attention in literature, however research efforts are still preliminary and fragmented. To that end, this paper, we provide systematic study K-means-based (KCC). Specifically, first reveal necessary...

Clustering validation is a long standing challenge in the clustering literature. While many measures have been developed for evaluating performance of algorithms, these often provide inconsistent information about and best suitable to use practice remain unknown. This paper thus fills this crucial void by giving an organized study 16 external K-means clustering. Specifically, we first introduce importance measure normalization evaluation on data with imbalanced class distributions. We also...

The notion of interval-valued intuitionistic fuzzy set (IVIFS) was introduced by Atanassov and Gargov as a generalization an set. fundamental characteristic IVIFS is that the values its membership function non-membership are intervals rather than exact numbers. Some operators have been proposed for aggregating sets. However, it seems there little investigation on aggregation techniques dealing with information. In this work, we develop some geometric operators, such ordered weighted (IIFOWG)...

Recommender systems suggest a few items from many possible choices to the users by understanding their past behaviors. In these systems, user behaviors are influenced hidden interests of users. Learning leverage information about is often critical for making better recommendations. However, existing collaborative-filtering-based recommender usually focused on exploiting user's interaction with systems; latent largely underexplored. To that end, inspired topic models, in this paper, we...

We consider a supply chain consisting of an incumbent national brand manufacturer and retailer, who wishes to determine the private label encroachment strategy. By investigating cost–quality trade‐off between lower‐ higher‐quality labels, we characterize retailer's optimal decisions. Intuitively, retailer would choose introduce lower‐quality when quality is high. However, find that may better benefit under certain conditions. Moreover, establish introducing can improve both channel profit...

Remanufacturing is a significant process for achieving carbon neutrality. However, the existing literature shows that consumer concerns regarding quality of remanufactured products restrict large-scale development remanufacturing industry. Studies on quantitative evaluation are limited. Therefore, we propose model products. Extended from formation products, loss function parts and assemblies was constructed based Taguchi's concept. Subsequently, relationship among social loss, functional...

The literature has shown that supply chain performance is affected by the allocation of inventory risk. Traditionally, a pull generates higher optimal order quantity and hence profit than push when firms are risk neutral. Extended from classic newsvendor models, this study investigates impact firms’ risk‐averse attitudes on performance. Based conditional value‐at‐risk ( CVaR), our analysis indicates can lead to supplier sufficiently more averse retailer. Meanwhile, contracts cannot always...

This paper examines an innovative return policy, insurance, emerging on various shopping platforms such as Taobao.com and JD.com. Return insurance is underwritten by insurer can be purchased either a retailer or consumer. Under the partially compensates consumers for their hassle costs associated with product return. We analyze informational roles of when quality retailer’s private information, infer from price adoption, strategically chooses premiums. show that effective signal high...

In this article, we propose a data-driven remanufacturability evaluation method for the waste parts considering uncertainty. First, remanufacturing cost and profit functions based on Taguchi quality concept are established. Subsequently, back propagation neural network is applied parameter estimation to deal with multivariable, uncertain, nonlinear effects of machining. Moreover, improved particle swarm optimization algorithm used efficiently optimize value parts. This article develops model...

The group-buying auction is a new kind of dynamic pricing mechanism on the Internet. It variant sellers' price double auction, which makes bidders as group through Internet to get volume discounts, i.e., more bid, lower object being auctioned becomes. In this paper, we analyze under some assumptions, such that independent private values (IPVs) model applies and are risk neutral symmetric, etc., build an incomplete information game illustrate bidders' bidding process. proves for there exists...