scholarly journals Linear Goal Programming Method for Optimal Decision Making of Multi-Criteria Assignment Problems

2019 ◽  
Vol 26 (2) ◽  
pp. 73-79
Author(s):  
Watheq Hayawi Laith
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Assignment Problem ◽  
Programming Method ◽  
Service Organizations ◽  
Optimal Decision ◽  
Linear Goal Programming ◽  
Efficiency And Effectiveness ◽  
Optimal Decision Making ◽  
The Right

The decision making process is the essence of the administrative process and its means of achieving the goals of the service organizations or productivity because the decision contributes mainly to enable them to carry out their administrative activities efficiently and effectively. The assignment process is one of the most important problems affecting the organizations performance because to determine the administrative composition of the organization. The correct decision making to the assignment problem and the right person in the right place will increase the efficiency and effectiveness of the organization. The previous methods to solve these problems depend on a single criterion such as cost, profit, time and so on. In this paper, three models were formulated for the of multi-criteria assignment problem. The first model multiple objective for present assignment problem when the assignment matrix is square, while the second and third models are a non-square assignment problem. The second model is the number of rows is greater than the number of columns while the third model where the number of columns larger than the rows. The second model is applied to the assignment problem of unit managers in the college of Administration and Economics based on two criteria: deferring the employee's desire to leader of task and the other criterion of assignment cost and using goal programming method. The data were collected by questionnaire.

What is aortic overriding?

2014 ◽  
Vol 25 (4) ◽  
pp. 612-625 ◽  
Author(s):  
Robert H. Anderson ◽  
Diane E. Spicer ◽  
G. William Henry ◽  
Cynthia Rigsby ◽  
Anthony M. Hlavacek ◽  
...  
Keyword(s):  
Decision Making ◽  
Aortic Valve ◽  
Clinical Data ◽  
Aortic Root ◽  
Diagnostic Techniques ◽  
Optimal Decision ◽  
Normal Heart ◽  
Optimal Decision Making ◽  
Definition Of ◽  
The Right

AbstractBackground: Disagreement currently exists regarding the definition of aortic dextroposition. It is suggested that the term be used interchangeably with aortic overriding, along with suggestions that the aortic valve overrides in the normal heart. The dextroposed aorta, however, does not always override the crest of the muscular ventricular septum. It is incorrect to argue that the normal aortic valve overrides. It is the cavity of the right aortic valvar sinus, rather than the valvar orifice, that sits above the muscular septum when the septum itself is intact. Therefore, to circumvent these difficulties, those using the term “dextroposition” find it necessary to distinguish “true” as opposed to “false” categories. The problems arise because “dextroposition” is remarkably ill-suited as an alternative term for aortic valvar overriding.Methods and Results:In this review, combining developmental, morphologic, and clinical data, we show how aortic overriding is best considered on the basis of biventricular connection of the aortic root in the setting of deficient ventricular septation. When analysed in this manner, it becomes an easy matter to distinguish between one-to-one and double outlet ventriculo-arterial connections. Appreciation of these features emphasises the different spatial alignments of interventricular communications as opposed to the plane of deficient ventricular septation. The concept of overriding is applicable not only to biventricular connection of the aortic root, but also the pulmonary and common arterial roots.Conclusions:The diagnostic techniques now available to the paediatric cardiologist illustrate the features of arterial valvar overriding with exquisite accuracy, informing the discussions now required for optimal decision making.

scholarly journals Improving asset utilization with an Asset Investment Planning and Management methodology

2017 ◽  
Vol 12 (1) ◽  
pp. 43-47 ◽  
Author(s):  
B. Neijens
Keyword(s):  
Decision Making ◽  
Human Resources ◽  
Value Function ◽  
Optimal Decision ◽  
Corporate Value ◽  
Investment Planning ◽  
Failure Risk ◽  
Planning And Management ◽  
Optimal Decision Making ◽  
The Right

In a world of aging assets and limited financial and human resources, companies often struggle to decide which asset-related projects should get attention first. Managers are required to compare highly divergent project justifications, and must somehow decide which projects bring most value to the company. Even within one project, it might be difficult to select the right option: is it better to change an asset's maintenance regime, plan a major refurbishment, or replace it altogether? The PAS-55 specification and the new ISO 55000 standard clarify the principles, but do not help with selecting or applying a methodology. This paper explores how combining asset failure risk evaluations with a well-defined corporate value function can lead to optimal decision making, and how the resulting decisions should be tracked and adjusted over the lifetime of the underlying projects or programs to maximize the execution rate.

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.

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