Proceedings of the Eighth International Forum on Decision Sciences

With the rapid development of ecommerce and Internet enterprises, a large number of online shopping by urban residents promotes the explosive growth of urban express business. For a long time, the excessive consumption of resources and the pollution of urban environment caused by the lack of effective treatment of a large number of express packaging wastes are becoming more and more serious. This paper focuses on the optimization of the urban environment and puts forward some Suggestions on the existing problems of the urban express package garbage disposal under the current situation and from the perspective of optimizing its disposal mode.

With the rapid development of economy, the level of consumption of residents is constantly upgrading, and the upgrading of consumption has also promoted the development process of cold chain logistics from scratch in China. In order to better meet the needs of consumers, this paper takes consumer satisfaction as the starting point to analyze, tap the problems in the cold chain logistics network of agricultural products, and put forward targeted agricultural products cold chain logistics optimization program.

Consumers are faced with multiple channel choices when purchasing products in the context of multi-channel. “Showrooming” as a market phenomenon in multi-channel retailing has grown in importance over the last few years, and it is also a frequent purchase channel for consumers. Consumers nowadays often evaluate products at brick-and-mortar stores to identify their “best-fit” product but buy it at a competing online retailer (i.e., showrooming). In this paper, the consumers’ psychological behavior is considered in consumer purchase channel decision. Therefore, a consumer utility model is built to study consumer purchase channel based on prospect theory in the context of showrooming. Firstly, consumer aspirations considering product attributes are regarded as the reference points before purchasing. Then the gain and loss of each attribute concerning consumer evaluation are calculated. Furthermore, the prospect value of each attribute is calculated based on prospect theory. Moreover, the consumer utility of each channel is calculated and consumers’ optimal purchase channel is determined according to consumer utility. Finally, a numerical example is used to illustrate the feasibility and validity of the proposed method.

New energy vehicles (NEVs) will become the main traffic tools, and their service needs to be improved correspondingly. This paper mainly proposes a double circulation loop (DCL) approach to mitigate disruption risks in the supply chain (SC) of NEVs spare parts. The simulation can dynamically illustrate real inventory levels and transportation, which is a new try for spare parts supply chain. The basic idea of the DCL approach is introduced. The experimental results are compared and analyzed between disruptions with and without recovery.

Today, omnichannel and customer experience are the norm. Does an online retailer benefit from opening an offline showroom with consideration of return rate and experience service? In this study, we establish four profit models before and after providing omnichannel ESBO (Experience in Showroom and Buy Online) and considering return rate and experience service, analyze the effect of the new channel ESBO on demand and profit. The results show that the online retailer can benefit from offering omnichannel ESBO when the return rate and experience service are not considered. Otherwise, the retailer can benefit from providing omnichannel ESBO only if the online return rate and experience service effort are high enough. Furthermore, if the cost coefficient of experience service is less than a certain threshold, the increase in total profit is greater when the return rate and experience service are considered.

The impact of global suppliers and the effect of the cross-border time on the warehouse are studied. A cross-border dual-channel warehouse model in a dual-channel supply chain context is proposed. In addition to demand and lead time uncertainty, the cross-border time is included as a stochastic parameter. Numerical results and managerial insights are also presented for this problem.

This research studies the performance and outcomes of the Vendor Managed Inventory (VMI) system with comparison to the traditional Retailer Managed Inventory (RMI) system. In the proposed model of the VMI system, we integrate the role of the VMI system in the location-inventory assignment problem with the replenishment policy assignment for a chain of hospitals. The healthcare supply chain network under a study composed of a single vendor provides multiple commodities of medical implants to multiple hospitals with a VMI system under a deterministic demand environment. The vendor needs to determine the location of VMI, the number of products, and the number of orders in a way to have a minimal total cost of transportation, inventory, and other associated operating costs. In this study, we compare the total cost of the VMI system with traditional RMI systems for a chain of hospitals. We consider the total cost for each system as a tool of performance measure between VMI and RMI systems. In each case, we developed a mathematical model as a mixed integer non-linear programming for the VMI and RMI with continuous review policies. The two models were solved using GAMS, and the computational results and sensitivity analysis are provided. The results for this case study show that the application of the VMI system is more justified and works better in terms of the cost, same being lower than the cost of traditional RMI systems.