scholarly journals Goal Programming Approach for Selection of COTS Components in Designing a Fault Tolerant Modular Software System under Consensus Recovery Block Scheme

2014 ◽  
pp. 65-72
Author(s):  
P. C. Jha ◽  
Vikram Bali
Keyword(s):  
Goal Programming ◽  
Software Reliability ◽  
Fault Tolerant ◽  
Random Variable ◽  
Chance Constraint ◽  
Programming Approach ◽  
Software System ◽  
Modular Software ◽  
Goal Programming Model ◽  
Commercial Off The Shelf

The application of computer systems has now crossed many different fields. Systems are becoming more software intensive. The requirements of the customer for a more reliable software led to the fact that software reliability is now an important research area. One method to improve software reliability is by the application of redundancy. A careful use of redundancy may allow the system to tolerate faults generated during software design and coding thus improving software reliability. The fault tolerant software systems are usually developed by integrating COTS (commercial off-the-shelf) software components. This paper is designed to select optimal components for a fault tolerant modular software system so as to maximize the overall reliability of the system with simultaneously minimizing the overall cost. A chance constrained goal programming model has been designed after considering the parameters corresponding to reliability and cost of the components as random variable. The random variable in this case has been considered as value which has known mean and standard deviation. A chance constraint goal programming technique is used to solve the model. The issue of compatibility among different commercial off-the shelf alternatives is also considered in the paper. Numerical illustrations are provided to demonstrate the model.

Multi Objective Optimization of Noise and Vibration in Passenger Car Cabin by Using Goal Programming Approach

2011 ◽  
Vol 383-390 ◽  
pp. 976-983 ◽  
Author(s):  
Ahmad Kadri Junoh ◽  
Zulkifli Mohd Nopiah ◽  
Wan Zuki Azman Wan Muhamad ◽  
Mohd Jailani Mohd Nor
Keyword(s):  
Goal Programming ◽  
Programming Model ◽  
Programming Approach ◽  
Vibration Level ◽  
Passenger Car ◽  
Noise And Vibration ◽  
Multi Objective ◽  
Comfort Index ◽  
Noise Annoyance ◽  
Goal Programming Model

Car cabin acoustical comfort is one of the main points which may attract the customers to purchase a new vehicle. Basically the noise in passenger car cabin is closely related to generated vibration in the vehicle system. The amount of discomfort depends to magnitude, frequency, direction and also the duration of exposed vibration in the cabin. The comfort of the driving influences driving performance. Generally the vibration is caused by two main sources: engine transmission and interaction between tyre and road surface. In this study the effects of vibration to noise in passenger car cabin were studied. Vehicle acoustical comfort index (VACI) was used to evaluate the noise annoyance level and vibration dose value (VDV) was used to evaluate the vibration level. According to the changes trend of noise and vibration level depending to engine speeds, goal programming model was used to optimise the noise annoyance level in passenger car cabin. At the end of study, a multi objective model successfully built to optimize the noise annoyance levels by looking the required vibration dose value at certain engine speeds. The results of the study might be useful for automotive researchers to provide technical method to optimize acoustical comfort in manufacturing of vehicles.

A MULTI-CHOICE GOAL PROGRAMMING APPROACH FOR COTS PRODUCTS SELECTION OF MODULAR SOFTWARE SYSTEMS

2013 ◽  
Vol 20 (06) ◽  
pp. 1350026 ◽  
Author(s):  
MUKESH KUMAR MEHLAWAT
Keyword(s):  
Goal Programming ◽  
Execution Time ◽  
Selection Problem ◽  
Software Systems ◽  
Programming Approach ◽  
Delivery Time ◽  
Modular Software ◽  
Proposed Model ◽  
Aspiration Levels ◽  
Cots Products

In this paper, we propose a multi-choice goal programming (MCGP) model of the multi-objective commercial-off-the-shelf (COTS) products selection problem. The proposed model simultaneously minimize the total cost, size, execution time and delivery time and maximize the system reliability of a modular software system subject to many realistic constraints including incompatibility among COTS products. We assume that the decision maker provides multiple aspiration levels regarding cost, size, execution time, delivery time and reliability objectives using discrete choices. To obtain efficient COTS selection plans, we use MCGP methodology to solve the COTS products selection problem. A real-world case study is discussed to demonstrate the effectiveness of the proposed model and methodology.

scholarly journals Self-Drive Tourism Route in Terengganu: An Application of Goal Programming Model

2017 ◽  
Vol 9 (1-5) ◽  
Author(s):  
Zakiah Hashim ◽  
Wan Rosmanira Ismail
Keyword(s):  
Goal Programming ◽  
Road Network ◽  
Programming Model ◽  
Programming Approach ◽  
Model Structure ◽  
Tourist Attractions ◽  
Optimum Result ◽  
Hard Constraints ◽  
Goal Programming Model ◽  
Model Structures

This study presents a goal programming approach to determine the best self-drive tourism route in Terengganu. The goal programming was formulated based on the model of Traveling Salesman Problem (TSP). This study involved seven cities in Terengganu which can be connected by road network. The data of the tourist attractions for each city was used in this study. The model of self-drive tourism route was constructed so as to connect all these seven cities by minimizing the travel distance, minimizing accommodation costs and maximizing the total number of tourist attractions. To achieve the objectives of this study, we develop the goal programming model that considers three model structures with each of them consists three goal constraints which are subjected to four hard constraints. This model has been solved using LINGO12.0 software. The results obtained from each model structures will be compared in order to get the most optimum route for self-drive tourism. The result showed that the first model structure was suitable to be used because this model structure gave the optimum result compared to other model structures. It produced the minimum total traveling cost of RM967.70 compared to the model structure two of RM977.10 and model structure three of RM1233.10.

scholarly journals The influence of a goal programming approach for safety management practices on the performance of a selected Indian construction organization

2019 ◽  
Vol 24 (24) ◽  
pp. 43-47
Author(s):  
S.V.S. Raja Prasad
Keyword(s):  
Goal Programming ◽  
Management Practices ◽  
Safety Management ◽  
Safety Performance ◽  
High Rate ◽  
Programming Approach ◽  
Primary Concern ◽  
Single Measure ◽  
Goal Programming Model ◽  
Construction Organization

Abstract The construction industry in India is the second most important contributor to its gross domestic product. However, high rate of accidents and fatalities have tarnished the image of industry in India. Although the industry contributes significantly to the Indian economy, safety management is the primary concern alongside with frequent workplace accidents. The role of safety management is vital to improve safety performance of an organization. The functions of safety management include planning, organizing, staffing, directing, controlling and coordinating safety activities with an aim to minimize accidents/injuries. Safety trainings, employee participation, compliance of safety procedures and motivational schemes are part of safety management which influences the overall safety performance. Several metrics were developed to measure the safety performance of an organization but not a single measure will reflect the overall performance. The present study considered parameters pertaining to the safety management which have influence on the safety performance of a construction organization in India. The parameters are analyzed by formulating a goal programming model. The results of the study suggests that much improvement is needed in the area of safety trainings and the revised targets were established.

OPTIMAL COMPONENT SELECTION APPROACH FOR FAULT-TOLERANT SOFTWARE SYSTEM UNDER CRB INCORPORATING BUILD-OR-BUY DECISION

2013 ◽  
Vol 20 (06) ◽  
pp. 1350024 ◽  
Author(s):  
P. C. JHA ◽  
RAMANDEEP KAUR ◽  
SHIVANI BALI ◽  
SUSHILA MADAN
Keyword(s):  
Fault Tolerant ◽  
Quality Standards ◽  
Software System ◽  
Critical Systems ◽  
Component Selection ◽  
Proposed Model ◽  
Selection Approach ◽  
Block Scheme ◽  
Commercial Off The Shelf ◽  
Recovery Block

Application Package Software (APS) has emerged as a ready-to-use solution for the software industry. The software system comprises of a number of components which can be either purchased from the vendor in the form of COTS (Commercial Off-the-Shelf) or can be built in-house. Such a decision is known as Build-or-Buy decision. Under the situations wherein the software has the responsibility of supervising life-critical systems, the inception of errors in software due to inadequate or incomplete testing, is not acceptable. Such life-critical systems enforces upon meeting the quality standards of the software as unforbiddenable. This can be achieved by incorporating a fault-tolerant design that enables a system to continue its intended operation rather than failing completely when some part of the system fails. Moreover, while designing a fault-tolerant system, it must be apprehended that 100% fault tolerance can never be achieved and the closer we try to get to 100%, the more costly the system will be. The proposed model shall incorporate consensus recovery block scheme of fault tolerant techniques. Through this paper, we shall focus on build-or-buy decision for an APS in order to facilitate optimal component selection thereby, maximizing the reliability and minimizing the overall cost and source lines of code of the entire system. Further, since the proposed problem has incompleteness and unreliability of input information such as execution time and cost, hence, the environment in the proposed model is taken as fuzzy.

OPTIMAL COMPONENT SELECTION OF COTS BASED SOFTWARE SYSTEM UNDER CONSENSUS RECOVERY BLOCK SCHEME INCORPORATING EXECUTION TIME

2010 ◽  
Vol 17 (03) ◽  
pp. 209-222 ◽  
Author(s):  
P. C. JHA ◽  
P. K. KAPUR ◽  
SHIVANI BALI ◽  
U. DINESH KUMAR
Keyword(s):  
Execution Time ◽  
Fault Tolerant ◽  
System Development ◽  
Software Systems ◽  
Software System ◽  
Reliability Models ◽  
Development Costs ◽  
Software Modules ◽  
Reduce Development Time ◽  
Commercial Off The Shelf

Computer based systems have increased dramatically in scope, complexity, pervasiveness. Most industries are highly dependent on computers for their basic day to day functioning. Safe & reliable software operations are an essential requirement for many systems across different industries. The number of functions to be included in a software system is decided during the software development. Any software system must be constructed in such a way that execution can resume even after the occurrence of failure with minimal loss of data and time. Such software systems which can continue execution even in presence of faults are called fault tolerant software. When failure occurs one of the redundant software modules get executed and prevent system failure. The fault tolerant software systems are usually developed by integrating COTS (commercial off-the-shelf) software components. The motivation for using COTS components is that they will reduce overall system development costs and reduce development time. In this paper, reliability models for fault tolerant consensus recovery blocks are analyzed. In first optimization model, we formulate joint optimization problem in which reliability maximization of software system and execution time minimization for each function of software system are considered under budgetary constraint. In the second model the issue of compatibility among alternatives available for different modules, is discussed. Numerical illustrations are provided to demonstrate the developed models.

scholarly journals FEEDING BLEND OPTIMIZATION FOR LIVESTOCK BY USING GOAL PROGRAMMING APPROACH

2020 ◽  
Vol 5 (2) ◽  
pp. 495
Author(s):  
NORLIANA MOHD LIP ◽  
NUR RASYIDA MOHD RASHID
Keyword(s):  
Goal Programming ◽  
Programming Model ◽  
Multiple Objectives ◽  
Percentage Error ◽  
Programming Approach ◽  
Livestock Industry ◽  
Protein Food ◽  
Livestock Feed ◽  
Goal Programming Model ◽  
Increasing Demand

Livestock feed blend formulation is an important process in livestock industry.  This process will help the livestock industry nowadays to keep providing continuous supply of animal protein food to cater for the expanding and increasing demand as Malaysia is undergoing a rapid growth in economic and human population.  The formulation of feed blend involves multiple objectives to be achieved through the decision making process.  In this project, Goal Programming (GP) method is used to formulate the livestock feed blend for a farm situated in Negeri Sembilan, Malaysia. This method is an approach of assisting the decision makers to solve multiple objectives for livestock feed blend in determining an optimal combination of ingredients to meet the nutritional requirements. This will lead to a rational use of available resources by minimizing the production cost and maximizing the nutritional value required for the growth of livestock. The nutrition for the livestock is dry matter (DM), metabolism energy (ME), crude protein (CP) and crude fiber (CF). Then, the preemptive model is tested using LINGO software and the results have been validated by using Mean Absolute Percentage Error (MAPE).  All of the multiple objectives have been fully achieved which represents the ability of the goal programming model to comply with optimizing the feed blend formulation.

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