Tradable permit schemes for congestible facilities with uncertain supply and demand

2020 ◽  
Vol 21 ◽  
pp. 100149 ◽  
Author(s):  
André de Palma ◽  
Robin Lindsey
2013 ◽  
Vol 30 (06) ◽  
pp. 1350030 ◽  
Author(s):  
CHIRAG SURTI ◽  
ELKAFI HASSINI ◽  
PRAKASH ABAD

We consider a retailer, facing uncertain supply and price-sensitive stochastic demand, who has to make stocking and pricing decisions for a given selling period. We also consider the case when the demand is price-sensitive deterministic and provide a unified framework for the model with additive errors. For both scenarios, we look at the case when the price is set before receiving the supply, called simultaneous pricing and the case when the price is set after receiving it, which is called postponed pricing. We develop a procedure for finding the optimal policy for the retailer with general distributions for the supply and the demand. To study the effect of supply uncertainty on expected profit, we conduct sensitivity analysis and develop results for both pricing scenarios and give insights. The results have important implications for a retailer in the supply chain, where a portion of the inventory may be lost due to variety of factors including mishandling and failure to meet quality standards. The findings shed light on the nature and role of prices and their relationship to supply and demand.


2019 ◽  
Vol 11 (15) ◽  
pp. 4061 ◽  
Author(s):  
Jiaping Xie ◽  
Lihong Wei ◽  
Weisi Zhang ◽  
Yu Xia ◽  
Jing Li

Electricity supply chains involve more sources of uncertainty than typical production and manufacturing supply chains, owing to the intermittent nature of renewable energy generation. Therefore, it is critical but challenging to mitigate supply disruption risks by improving management methods. The extant literature has mainly investigated the sourcing strategies of manufacturers with price-taking suppliers. Where there is an option to source from multiple generators, including regular but unreliable generators and reliable backup generators, a flexible sourcing strategy is usually regarded as the best tactic for the grid operator. Our objective is to evaluate the costs and benefits of flexible sourcing and sole sourcing when generators are strategic price-setters. In this paper, we develop a Stackelberg game with wholesale prices contingent on the dominant grid operator’s sourcing strategy. We describe and analyze the resulting equilibriums under different scenarios. The results show that the grid operator does not necessarily benefit from a backup generator and that the flexible sourcing mode is not in fact optimal, except when the disruption ratio of the unreliable generator is medium and the penalty-sharing ratio of the unreliable generator is low. The model is applied to a numerical case study of a real-word electricity supply chain to illustrate the validity and effectiveness of the proposed conclusions.


2015 ◽  
Vol 740 ◽  
pp. 989-993 ◽  
Author(s):  
Jing Ya Yao ◽  
Le Zheng ◽  
Jia Chen Zhou ◽  
Jing Zhong Wang ◽  
Wei Min Hu ◽  
...  

Since the trend of electricity power industry reformation is to separate power plants from grid, it’s difficult for power Grid Company to interference the operation of plants. But as a manager of grid, it’s necessary for Grid Company to build a calculation formula of monthly standard electricity coal inventory to estimate the security of thermal power plant operation. y analyzing the special features of coal inventory management of thermal power plants. Taking into consideration of the changing demand of electricity and the uncertain supply of coal during a month, a practical inventory model with the target of maximizing the safety of generating electricity was built based on the modified classic safety stock formula to determine the optimal standard safety stocks. It’s depends on history data. Finally, On the basis of the solving results of power plants in Hunan province, the optimal safety stock was found, and the quantity of coal to purchase during a month were also suggested. The results provide a good reference for guiding the purchase and storage strategy of thermal power plant.


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