scholarly journals Optimal Decision-Making in Photovoltaic System Selection in Saudi Arabia

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 357
Author(s):  
Sultan Al-Shammari ◽  
Wonsuk Ko ◽  
Essam A. Al Ammar ◽  
Majed A. Alotaibi ◽  
Hyeong-Jin Choi
Keyword(s):  
Decision Making ◽  
Saudi Arabia ◽  
Photovoltaic System ◽  
Geographical Information ◽  
Optimal Decision ◽  
Decision Matrix ◽  
Pv System ◽  
Location Selection ◽  
Optimal Decision Making ◽  
Topsis Technique

In this study, optimal decision-making process in photovoltaic (PV) system location selection in Saudi Arabia is described. First, to identify the criteria that influence the decision of selecting a suitable location for the PV system, the geographical information system (GIS)-based multi-criteria decision making (MCDM) approach is used. Next, to assess the weights of the criteria that present different aspects of the investigated locations, four major criteria and 11 sub-criteria are proposed, and analytic hierarchy process (AHP) is applied to develop comparison decision matrix. Finally, the order preference by similarity to ideal solution (TOPSIS) technique evaluates and classifies 17 cities (such as Riyadh, Jeddah) in Saudi Arabia. The result shows that Tabuk city in the northern of Saudi Arabia is the best location. Among the 17 cities, the performance score of seven cities is above or equal 80%, and Tabuk city has the highest score with 87%. This analytical approach could contribute as an early planning to locate suitable sites for the selection of PV system region in Saudi Arabia.

scholarly journals GEAR: On Optimal Decision Making with Auxiliary Data

Stat ◽  
2021 ◽  
Author(s):  
Hengrui Cai ◽  
Rui Song ◽  
Wenbin Lu
Keyword(s):  
Decision Making ◽  
Optimal Decision ◽  
Auxiliary Data ◽  
Optimal Decision Making

Operation decision of logistics service supply chain: considering interruption probability in emergencies

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guangsheng Zhang ◽  
Xiao Wang ◽  
Zhiqing Meng ◽  
Qirui Zhang ◽  
Kexin Wu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Evolutionary Game ◽  
Optimal Strategies ◽  
Optimal Decision ◽  
Content Type ◽  
Logistics Service ◽  
Social Reputation ◽  
Punishment Intensity ◽  
Optimal Decision Making

PurposeTo remedy the inherent defect in current research that focuses only on a single type of participants, this paper endeavors to look into the situation as an evolutionary game between a representative Logistics Service Integrator (LSI) and a representative Functional Logistics Service Provider (FLSP) in an environment with sudden crisis and tries to analyze how LSI supervises FLSP's operations and how FLSP responds in a recurrent pattern with different interruption probabilities.Design/methodology/approachRegarding the risks of supply chain interruption in emergencies, this paper develops a two-level model of single LSI and single FLSP, using Evolutionary Game theory to analyze their optimal decision-making, as well as their strategic behaviors on different risk levels regarding the interruption probability to achieve the optimal return with bounded rationality.FindingsThe results show that on a low-risk level, if LSI increases the degree of punishment, it will fail to enhance FLSP's operational activeness in the long term; when the risk rises to an intermediate level, a circular game occurs between LSI and FLSP; and on a high level of risk, FLSP will actively take actions, and its functional probability further impacts LSI's strategic choices. Finally, this paper analyzes the moderating impact of punishment intensity and social reputation loss on the evolutionary model in emergencies and provides relevant managerial implications.Originality/valueFirst, by taking both interruption probability and emergencies into consideration, this paper explores the interactions among the factors relevant to LSI's and FLSP's optimal decision-making. Second, this paper analyzes the optimal evolutionary game strategies of LSI and FLSP with different interruption probability and the range of their optimal strategies. Third, the findings of this paper provide valuable implications for relevant practices, such that the punishment intensity and social reputation loss determine the optimal strategies of LSI and FLSP, and thus it is an effective vehicle for LSSC system administrator to achieve the maximum efficiency of the system.

Blockchain Based Optimal Decision Making Of Dispatchable Units In Smart Grids Considering The High Uncertainty Effects

2021 ◽  
pp. 103418
Author(s):  
Xiangqian Zhu ◽  
Wenfeng Wang ◽  
Suhong Pang ◽  
Chaoyin An ◽  
Xiaoliang Yang ◽  
...  
Keyword(s):  
Decision Making ◽  
Smart Grids ◽  
Optimal Decision ◽  
Optimal Decision Making ◽  
High Uncertainty

An optimal decision making model for supporting week hospital management

2010 ◽  
Vol 14 (1) ◽  
pp. 74-88 ◽  
Author(s):  
Domenico Conforti ◽  
Francesca Guerriero ◽  
Rosita Guido ◽  
Marco Matucci Cerinic ◽  
Maria Letizia Conforti
Keyword(s):  
Decision Making ◽  
Hospital Management ◽  
Optimal Decision ◽  
Optimal Decision Making ◽  
Decision Making Model
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