Notice of Retraction: Balanced production arrangement of orders under capacity uncertainty

Author(s):  
Xin-lin Chen
Keyword(s):  
Author(s):  
Muhammad Rahmat ◽  
Aakil Mohammad Caunhye ◽  
Michel-Alexandre Cardin

In recent years, the electricity industry has seen a drive towards the integration of renewable and environmentally friendly generation resources to power grids. These resources have highly variable availabilities. This work proposes a stochastic programming approach to optimize generation expansion planning (GEP) under generator supply capacity uncertainty. To better capture upside opportunities and reduce exposure to downside risks, flexibility is added to the GEP problem through real options on generator addition, which are to be exercised after uncertainty realizations. In addition, with the end goal of providing decision makers with easy-to-use guidelines, a conditional-go decision rule, akin to an if-then-else statement in programming, is proposed whereby the decision maker is provided with a threshold of excess total generator capacity from the previous time period, below which a predetermined generator addition plan (the option) is exercised. The proposed methodology and its decision rule are implemented in a real-world study of Midwest U.S. Comparisons are made to quantify the value of flexibility and to showcase the usefulness of the proposed approach.


2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Jiaquan Yang ◽  
Xumei Zhang ◽  
Yating Huang ◽  
Jiafu Su ◽  
Sang-Bing Tsai ◽  
...  

The dual-channel supply chain is widely adopted by main manufacturers, potentially incurring channel conflicts between the traditional retail channel which is owned by the independent retailer and the online channel which is directly managed by the manufacturer. The purpose of this paper is to deal with the scenario where channel conflicts may arise under production capacity uncertainty, when the manufacturer tends to privilege the direct selling channel over the retail selling channel. To achieve the goal, this paper establishes a Stackelberg game model consisting of a manufacturer and a retailer, studies the scenario where the manufacturer satisfies the direct selling channel first in the presence of capacity uncertainty, employs the decision optimization and the backward induction method to find the optimal inventory decision in the direct selling channel and the optimal order quantity decision making in the retail selling channel, and designs a compensation mechanism aiming to coordinate the channel conflict in the decentralized decision-making process. Results show that the optimal decisions aiming to maximize the expected profit of each supply chain member are not able to maximize the expected profit of entire dual-channel supply chain. However, when the manufacturer compensates the retailer’s profit loss based on the unsatisfied order and, in the meantime, adjusts the wholesale price to prevent the retailer which obtains the compensation from increasing order significantly, the compensation mechanism can coordinate the decision of each supply chain member, mitigate the channel conflict, maximize the expected profit of entire dual-channel supply chain, and achieve the Pareto improvement of supply chain members’ expected profit in the decentralized decision-making process.


Omega ◽  
2016 ◽  
Vol 65 ◽  
pp. 82-97 ◽  
Author(s):  
Chungseung Lee ◽  
Kun Soo Park
Keyword(s):  

2006 ◽  
Vol 33 (3) ◽  
pp. 724-745 ◽  
Author(s):  
Berkin Toktas ◽  
Joyce W. Yen ◽  
Zelda B. Zabinsky

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