Leisure Harbours as an Economic Resource: Planning Problems in Sardinia

1992 ◽  
pp. 33-41
Author(s):  
G. P. Ritossa ◽  
N. Migliavacca ◽  
P. Sanna
Keyword(s):  
Resource Planning ◽  
Economic Resource ◽  
Planning Problems

scholarly journals The vector optimization mechanism for resource planning problems

2018 ◽  
Vol 206 ◽  
pp. 012045
Author(s):  
V V Zimin ◽  
V V Mitkov ◽  
A V Zimin ◽  
I G Stepanov ◽  
A A Ivushkin
Keyword(s):  
Vector Optimization ◽  
Resource Planning ◽  
Optimization Mechanism ◽  
Planning Problems

scholarly journals AN ALYSIS OF ECONOMIC EFFICINCY AND OPTIMAL ALLOCATION OF ECONOMIC RESOURCES IN ABU GHRAIB DAIRY FACTORY USING LINEAR PROGRAMMING IN 2015

2017 ◽  
Vol 48 (1) ◽  
Author(s):  
Fahd & Ali
Keyword(s):  
Linear Programming ◽  
Optimal Allocation ◽  
Resource Planning ◽  
Abu Ghraib ◽  
Allocation Of Resources ◽  
Production Lines ◽  
Economic Resource ◽  
For Profit ◽  
Total Profit ◽  
Work Item

The resource allocation and planning is one of most important issues in the field of administration because of its importance role could be played in raising the factory performance and to create the conditions and means for the advancement of its reality so the goal of research is to reach mix of commodity through re-allocation of resources between the various production lines which is achieved with it maximum profit margin and this optimum plant was done through collection of data from dairy Abu Ghraib factory in 2015 and adopted win QSB program to find the optimal production plan it shows the reality of factory production that loses 1,755,486,044 dinars, and when we make the basic shows it is investigating profit increased by 1,046,003,000 dinars shows that there is a surplus in the work item (93%) by you make attempts on the basic plan emerged from three alternative plans the most important of the third alternative plan - b - achieved a profit by 28,090,890,000 dinar total profit for the basic plan exceeds by 27,004,887,000 dinars decreased surplus in the work item to 24%, and when you perform a sensitivity analysis to see changes show that in the case of high variable costs by 10% has been no change in the results of the basic plan, but profit dropped for profit basis the plan by 104.6 million dinars, while in the case of high variable costs by 10% with low prices by 10% has also been some of the activities excluded which caused a loss in the target and reduced the amount of production of the quantity cream in the base plan by 196.817 tons function as some productive activities that did not appear in the basic plan emerged was this plain achieved an increase in gross profit amounted to 438.656 million dinars for the base plan, but in the case of high product prices 10% did not any change on the result of the basic plain occurs because the change at the same rate for all products was the plan achieved an increase in profit exceeds the profit for the basic plan by 104.6 million dinars, it was concluded research that the factory does not follow the scientific metod in management and there are worse in the allocation of resources and a large waste the resources for such research recommend to adopt scientific method, especially linear programming method available in the factory resource planning application for optimum productivity plans that would lead to expand the plant to increase production and profits as well as lead to the optimal allocation of economic resource available.

Combining linear programming and satisfiability solving for resource planning

2001 ◽  
Vol 16 (1) ◽  
pp. 85-99 ◽  
Author(s):  
STEVEN A. WOLFMAN ◽  
DANIEL S. WELD
Keyword(s):  
Artificial Intelligence ◽  
Linear Programming ◽  
Operations Research ◽  
Resource Planning ◽  
Expressive Power ◽  
Conjunctive Normal Form ◽  
Simplex Algorithm ◽  
Form Representation ◽  
Satisfiability Solving ◽  
Planning Problems

Compilation to Boolean satisfiability has become a powerful paradigm for solving artificial intelligence problems. However, domains that require metric reasoning cannot be compiled efficiently to satisfiability even if they would otherwise benefit from compilation. We address this problem by combining techniques from the artificial intelligence and operations research communities. In particular, we introduce the LCNF (Linear Conjunctive Normal Form) representation that combines propositional logic with metric constraints. We present LPSAT (Linear Programming plus SATisfiability), an engine that solves LCNF problems by interleaving calls to an incremental Simplex algorithm with systematic satisfaction methods. We explore several techniques for enhancing LPSAT's efficiency and expressive power by adjusting the interaction between the satisfiability and linear programming components of LPSAT. Next, we describe a compiler that converts metric resource planning problems into LCNF for processing by LPSAT. Finally, the experimental section of the paper explores several optimisations to LPSAT, including learning from constraint failure and randomised cutoffs.

Solving resource planning problems

2009 ◽  
Author(s):  
Julian Eckert ◽  
Tim Lehrig ◽  
Apostolos Papageorgiou ◽  
Nicolas Repp ◽  
Ralf Steinmetz
Keyword(s):  
Resource Planning ◽  
Planning Problems

Asymptotics of a class of resource planning problems

2014 ◽  
Vol 41 (3) ◽  
pp. 52-54
Author(s):  
Yingdong Lu ◽  
Mark S. Squillante ◽  
David D. Yao
Keyword(s):  
Resource Planning ◽  
Planning Problems

Postmarketing Surveillance Based on Electronic Patient Records: The IPCI Project

1999 ◽  
Vol 38 (04/05) ◽  
pp. 339-344 ◽  
Author(s):  
J. van der Lei ◽  
B. M. Th. Mosseveld ◽  
M. A. M. van Wijk ◽  
P. D. van der Linden ◽  
M. C. J. M. Sturkenboom ◽  
...  
Keyword(s):  
General Practitioner ◽  
General Practitioners ◽  
Validation Studies ◽  
Resource Planning ◽  
Routine Practice ◽  
Patient Records ◽  
Postmarketing Surveillance ◽  
Electronic Patient Records ◽  
Use Of Data ◽  
Data Requirements

AbstractResearchers claim that data in electronic patient records can be used for a variety of purposes including individual patient care, management, and resource planning for scientific research. Our objective in the project Integrated Primary Care Information (IPCI) was to assess whether the electronic patient records of Dutch general practitioners contain sufficient data to perform studies in the area of postmarketing surveillance studies. We determined the data requirements for postmarketing surveil-lance studies, implemented additional software in the electronic patient records of the general practitioner, developed an organization to monitor the use of data, and performed validation studies to test the quality of the data. Analysis of the data requirements showed that additional software had to be installed to collect data that is not recorded in routine practice. To avoid having to obtain informed consent from each enrolled patient, we developed IPCI as a semianonymous system: both patients and participating general practitioners are anonymous for the researchers. Under specific circumstances, the researcher can contact indirectly (through a trusted third party) the physician that made the data available. Only the treating general practitioner is able to decode the identity of his patients. A Board of Supervisors predominantly consisting of participating general practitioners monitors the use of data. Validation studies show the data can be used for postmarketing surveillance. With additional software to collect data not normally recorded in routine practice, data from electronic patient record of general practitioners can be used for postmarketing surveillance.

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