Research on flexible programming model and process for job positions of knowledge workers based on strategy

Author(s):  
Ding Lei ◽  
Lin Run-hui
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohsen Sadeghi Dastaki ◽  
Abbas Afrazeh ◽  
Masoud Mahootchi

Purpose Over the past years, many studies have explored the role of knowledge management (KM) in companies. KM is concerned with the measurement of knowledge to manage knowledge efficiently. On the other hand, the intangible nature of knowledge makes its measurement challenging. Furthermore, there is no standardized method to measure knowledge, and it is chiefly measured based on the subjective judgment of researchers. Moreover, New Product Development (NPD) departments in many companies strive to assess their knowledge in terms of company products and knowledge workers. Hence, this study aims to propose a product-based two-phase technique that measures the company knowledge inventory. Design/methodology/approach In the first phase, the value of knowledge is quantified relative to products, knowledge workers and the entire company using two concepts of knowledge width and depth. Then, a three-dimensional knowledge asset map (knowledge, products and knowledge worker dimensions) is designed to assess and audit knowledge workers. Finally, this technique recruits an integer linear programming model with a cost minimization objective function to optimize the supply of NPD knowledge requirements in the second phase. Findings This model enables managers to determine what type of knowledge can be supplied by existing knowledge workers, whether within the company or by other external sources. Originality/value Among existing knowledge measurement methods, only a few use a product-based measuring technique. However, they fail to offer suitable scenarios for managers' decision-making process and consider cost structures in measurement techniques. Hence, this paper attempts to overcome these drawbacks.


Author(s):  
Leigh Lapworth

A methodology for protecting confidential data sets on third-party HPC systems is reported. This is based on the NIST AES algorithm and supports the common ECB, CTR and CBC modes. The methodology is built on a flexible programming model that delegates management of the encryption key to the application code. The methodology also includes a fine-grain control over which arrays on the files are encrypted. All the stages in an encrypted workflow are investigated using an established CFD code. Benchmarks are reported using the UK national supercomputer service (ARCHER) running the CFD code on up to 18,432 cores. Performance benchmarks demonstrate the importance of the way the encryption metadata is treated. Naïve treatments are shown to have a large impact on performance. However, through a more judicious treatment, the time to run the solver with encrypted input and output data is shown to be almost identical to that with plain data. A novel parallel treatment of the block chaining in AES-CBC mode allows users to benefit from the avalanche properties of this mode relative to the CTR mode, with no penalty in run-time.


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
S Mohd Baki ◽  
Jack Kie Cheng

Production planning is often challenging for small medium enterprises (SMEs) company. Most of the SMEs are having difficulty in determining the optimal level of the production output which can affect their business performance. Product mix optimization is one of the main key for production planning. Many company have used linear programming model in determining the optimal combination of various products that need to be produced in order to maximize profit. Thus, this study aims for profit maximization of a SME company in Malaysia by using linear programming model. The purposes of this study are to identify the current process in the production line and to formulate a linear programming model that would suggest a viable product mix to ensure optimum profitability for the company. ABC Sdn Bhd is selected as a case study company for product mix profit maximization study. Some conclusive observations have been drawn and recommendations have been suggested. This study will provide the company and other companies, particularly in Malaysia, an exposure of linear programming method in making decisions to determine the maximum profit for different product mix.


Author(s):  
Umeshkannan P ◽  
Muthurajan KG

The developed countries are consuming more amount of energy in all forms including electricity continuously with advanced technologies.  Developing  nation’s  energy usage trend rises quickly but very less in comparison with their population and  their  method of generating power is not  seems  to  be  as  advanced  as  developed  nations. The   objective   function   of   this   linear   programming model is to maximize the average efficiency of power generation inIndia for 2020 by giving preference to energy efficient technologies. This model is subjected to various constraints like potential, demand, running cost and Hydrogen / Carbon ratio, isolated load, emission and already installed capacities. Tora package is used to solve this linear program. Coal,  Gas,  Hydro  and  Nuclear  sources can are  supply around 87 %  of  power  requirement .  It’s concluded that we can produce power  at  overall  efficiency  of  37%  while  meeting  a  huge demand  of  13,00,000  GWh  of  electricity.  The objective function shows the scenario of highaverage efficiency with presence of 9% renewables. Maximum value   is   restricted   by   low   renewable   source’s efficiencies, emission constraints on fossil fuels and cost restriction on some of efficient technologies. This    model    shows    that    maximum    18%    of    total requirement   can   be   met   by   renewable itself which reduces average efficiency to 35.8%.   Improving technologies  of  renewable  sources  and  necessary  capacity addition  to  them in  regular  interval  will  enhance  their  role and existence against fossil fuels in future. The work involves conceptualizing, modeling, gathering information for data’s to be used in model for problem solving and presenting different scenarios for same objective.


2012 ◽  
Vol 11 (1) ◽  
Author(s):  
CB Herman Edyanto

Special Economic Zone has been introduced as a new approach in Indonesia for regional development purposes on the basic of economic activities concentration. Some countries have run such project as part of national income and thus opening new job opportunity for the local people. A concept for its development need to be established since it also affects to the government’s expenditure. This is a chance for the government to open mind in creating new investment from other countries to Indonesia. Two cities have been chosen as cases of study namely Bitung – north Sulawesi Province and Dumai – Riau Province. The first is known as fish processing industry city whereas the second one is known as CPO processing industry city. This study has proved that Dumai has a good prospect as a special economic zone based on the application of Powersim dynamic programming model for its analysis.


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