Sharing Demand Information Under Bounded Wholesale Pricing

2019 ◽  
Author(s):  
Tian Li ◽  
Hongtao Zhang
Keyword(s):  
Demand Information ◽  
Wholesale Pricing

Contract Portfolios with Order Lead Times and Advance Demand Information in Demand Fulfilment Processes

2016 ◽  
Author(s):  
Alexander Seitz ◽  
Martin Grunow ◽  
Renzo Akkerman
Keyword(s):  
Lead Times ◽  
Advance Demand Information ◽  
Demand Information

The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting

2021 ◽  
Vol 15 (6) ◽  
pp. 1-25
Author(s):  
Jinliang Deng ◽  
Xiusi Chen ◽  
Zipei Fan ◽  
Renhe Jiang ◽  
Xuan Song ◽  
...  
Keyword(s):  
Time Series Data ◽  
Demand Forecasting ◽  
Intrinsic Property ◽  
Urban Transport ◽  
Series Data ◽  
Transportation Demand ◽  
Demand Information ◽  
Spatio Temporal ◽  
Mode Of Transport ◽  
Pattern Information

Transportation demand forecasting is a topic of large practical value. However, the model that fits the demand of one transportation by only considering the historical data of its own could be vulnerable since random fluctuations could easily impact the modeling. On the other hand, common factors like time and region attribute, drive the evolution demand of different transportation, leading to a co-evolving intrinsic property between different kinds of transportation. In this work, we focus on exploring the co-evolution between different modes of transport, e.g., taxi demand and shared-bike demand. Two significant challenges impede the discovery of the co-evolving pattern: (1) diversity of the co-evolving correlation, which varies from region to region and time to time. (2) Multi-modal data fusion. Taxi demand and shared-bike demand are time-series data, which have different representations with the external factors. Moreover, the distribution of taxi demand and bike demand are not identical. To overcome these challenges, we propose a novel method, known as co-evolving spatial temporal neural network (CEST). CEST learns a multi-view demand representation for each mode of transport, extracts the co-evolving pattern, then predicts the demand for the target transportation based on multi-scale representation, which includes fine-scale demand information and coarse-scale pattern information. We conduct extensive experiments to validate the superiority of our model over the state-of-art models.

scholarly journals The Situation Room as a management tool: the case of the Municipal Health Secretariat of Salvador

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Pereira ◽  
dos Santos ◽  
H Alves ◽  
Vieira Lima ◽  
S Carvalho Cerqueira ◽  
...  
Keyword(s):  
Interdisciplinary Collaboration ◽  
Management Tool ◽  
External Control ◽  
Political Agenda ◽  
Information Transparency ◽  
Communication Plan ◽  
Demand Information ◽  
Health Situation ◽  
External Actors ◽  
Municipal Health

Abstract Problem The Salvador Municipal Health Secretariat (MHS) utilizes health data to elaborate technical documents to manage and respond to instances requiring internal or external control. In answer to demands for the modernization and transparency of municipal management, the constitution of a Health Situation Room (HSR) was included in the political agenda of the Secretary, thereby guaranteeing political, technical and operational support for its implementation. Description of the Problem To describe the process of construction of the HSR in the Salvador MHS in 2020. The HSR is a physical, virtual and collective space for the analysis of information, which begins with a data search which allows to understand the information flow, identifying the solicitor and the constructor of the information, the data source and the informational object itself. Results 130 technicians and managers were interviewed, and their responses then categorized into 161 indicators across different themes. The results point out the need to define a spatial analysis unit to be adopted, and to communicate with external actors who demand information, as well as to develop a communication plan for the HSR. Lessons To develop an informational culture oriented by local and central protagonism, generating evidence for decision-making and information transparency for the whole of society. Key messages The Health Situation Room reduces the time between information-decision-action. The Health Situation Room prioritizes interdisciplinary collaboration and increases the efficiency of the health system.

scholarly journals Study on soft sensing method of plant growth water demand information based on RBF neural network

2020 ◽  
Vol 594 ◽  
pp. 012007
Author(s):  
M Li ◽  
L G Tian ◽  
J Y Zhang ◽  
H L Duan
Keyword(s):  
Neural Network ◽  
Plant Growth ◽  
Water Demand ◽  
Rbf Neural Network ◽  
Soft Sensing ◽  
Demand Information

Contract design under asymmetric demand information for sustainable supply chain practices

2021 ◽  
Author(s):  
Xin Yun ◽  
Hao Liu ◽  
Yi Li ◽  
Kin Keung Lai
Keyword(s):  
Supply Chain ◽  
Contract Design ◽  
Sustainable Supply Chain ◽  
Demand Information

scholarly journals Information Acquisition and Its Incentives in an E-Commerce Supply Chain under the Offline Showroom Model

2021 ◽  
Vol 16 (5) ◽  
pp. 1791-1804
Author(s):  
Mengli Li ◽  
Xumei Zhang
Keyword(s):  
Supply Chain ◽  
Information Acquisition ◽  
Incentive Contracts ◽  
Demand Forecast ◽  
Competition Intensity ◽  
Demand Information ◽  
Optimal Information ◽  
Acquisition Strategy ◽  
The One ◽  
The Impact

Recently, the showroom model has developed fast for allowing consumers to evaluate a product offline and then buy it online. This paper aims at exploring the optimal information acquisition strategy and its incentive contracts in an e-commerce supply chain with two competing e-tailers and an offline showroom. Based on signaling game theory, we build a mathematical model by considering the impact of experience service and competition intensity on consumers’ demand. We find that, on the one hand, information acquisition promotes supply chain members to obtain demand information directly or indirectly, which leads to forecast revenue. On the other hand, information acquisition promotes supply chain members to distort optimal decisions, which results in signal cost. The optimal information acquisition strategy depends on the joint impact of forecast revenue, signal cost and demand forecast cost. Notably, in some conditions, the offline showroom will not acquire demand information even when its cost is equal to zero. We also design two different information acquisition incentive contracts to obtain Pareto improvement for all supply chain members.

scholarly journals An Optimal Water Resource Allocation Mechanism Based on Ex-Post Verification and Reward in Huangbai River

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1588
Author(s):  
Hui Zhang ◽  
Jiaying Li
Keyword(s):  
Resource Allocation ◽  
Water Resources ◽  
Water Resource ◽  
Water Allocation ◽  
Allocation Rule ◽  
Allocation Efficiency ◽  
Water Resource Allocation ◽  
Water Users ◽  
Ex Post ◽  
Demand Information

Under the current administrative system (AS) in China, the water resources governor allocates limited water resources to several users to realize the utility of water resources, leading to a principal–agent problem. The governor (referred to as the principal and she) wishes to maximize water resource allocation efficiency, while each user (referred to as the agent and he) only wishes to maximize his own quota. In addition, the governor cannot know water demand information exactly since it is the water users’ private information. Hence, this paper builds an ex ante improved bankruptcy allocation rule and an ex post verification and reward mechanism to improve water allocation efficiency from the governor’s perspective. In this mechanism, the governor allocates water among users based on an improved bankruptcy rule before the water is used up, verifies users’ information by various approaches, and poses a negative reward to them if their information is found to be false after the water is used up. Then, this mechanism is applied to Huangbai River Basin. Research results show that the improved allocation rule could motivate users to report demand information more honestly, and ex post verification could motivate water users to further report their true information, which, as a result, could improve the water allocation efficiency. Furthermore, this mechanism could be applied to the allocation of other resources.

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