A grey multi-objective linear model to find critical path of a project by using time, cost, quality and risk parameters

Mahdiraji, Hannan Amoozad; Hajiagha, Seyed Hossein Razavi; Hashemi, Shide Sadat; Zavadskas, Edmundas Kazimieras

doi:10.15240/tul/001/2016-1-004

Cited by 8 publications

(5 citation statements)

References 26 publications

(14 reference statements)

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“…To access a unique ranking for the criteria, interval ranking methods could be applied, for which interval numbers, interval arithmetic and interval numbers comparison method are to be introduced firstly. Considering the interval number A = [ a l , a R ] = ( x : a l ≤ x ≤ a R , x ∈ R ), where, a l and a R are the left limits and the right limit of A, respectively, the operations on closed intervals are defined as equations (8)–(12) (Rezaei, 2015, 2016; Mahdiraji et al , 2016, 2011; Hajiagha et al , 2015a; Beheshti et al , 2016; Hajiagha et al , 2015b): …”

Section: Basic Conceptsmentioning

confidence: 99%

Exploring and evaluating success factors of social media marketing strategy: a multi-dimensional-multi-criteria framework

Pour¹,

Hosseinzadeh

Mahdiraji

2021

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Purpose Today, social media is counted as an integral part of marketing strategies, which has led to a paradigm change in this field. As reported, social media marketing has been growing over the recent five years and is predicted to be exponentially growing in the future. However, despite the huge promise and intention to adopt social media marketing strategies by organisations, there remain challenges regarding the successful implementation of these new marketing programmes. Accordingly, marketing managers’ awareness of the success factors of social media marketing is essential to return investment in this area. Due to the little research been accomplished in this field, this paper aims to identify the success factors of social networks’ marketing and to rank the factors by using of interval best-worst method (BWM). Design/methodology/approach To serve the research aims, an extant literature review is accomplished and a focus group approach is conducted to identify the main success factors and sub-factors. To analyse the focus group discussions, a qualitative content analysis approach is applied. Interval BWM is used to calculate the weights of each identified factor. Findings In the final framework, six main success criteria, including strategy, process, technology, content, performance evaluation and people are identified, for each sub-criteria are developed. The interval BWM results suggest the content criterion as the most important success factor in developing a social media marketing strategy. Research limitations/implications First, this research provides a comprehensive insight into the success factors and best practices of social media marketing. This is the first to draw on the critical factors affecting the success of social media marketing, considering people in the organisation such as top management, employees and customers, strategy, process and performance evaluation focussing on the change management requirements for applying social media marketing and technology as the technical factor of the adoption process, simultaneously. Identifying critical success factors of social media marketing will help marketing managers to avoid falling into the trap of developing social media strategies based on less important areas and ignoring the critical ones. Besides, owing to the limited resources of organisations in implementing social media marketing strategies, prioritising and weighing the success factors will lead to a focus on more important areas. Originality/value Whilst the related studies have mostly concentrated on the capabilities and activities required to conduct social media marketing and the few research investigated the critical success factors most concentrated on the customer and the content-related factors, the finding of this research goes beyond that and suggests technical, process and human aspects simultaneously in the implementation process in a holistic view.

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Section: Basic Conceptsmentioning

confidence: 99%

Exploring and evaluating success factors of social media marketing strategy: a multi-dimensional-multi-criteria framework

Pour¹,

Hosseinzadeh

Mahdiraji

2021

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“…Several authors have applied modeling techniques such as fuzzy logic (Amiri and Golozari, 2011; Cristobol, 2013); grey numbers (Razavi et al, 2015;Mahdiraji et al, 2016); and genetic algorithms (Hosseini et al, 2018) to address this problem when quality follows a linear scale. Salmasnia et al (2016) use a response surface methodology to find an optimal amount of resources to assign to activities so that project total time and cost are minimized while quality characteristics are maximized.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Hedging: Managing Time and Cost Uncertainty in the Stochastic Time-Cost-Quality Tradeoff Project Scheduling Problem

Pollack-Johnson¹,

Liberatore²

2021

ijoqm

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We consider how uncertainty affects tradeoffs between time, cost, and quality, modeling quality as a continuous function of time and cost. A translation agency example demonstrates that uncertainty can be modeled by making the quality function parameters stochastic. This leads to our Stochastic Time Cost Quality Tradeoff Problem (STCQTP), which determines optimal levels of time, cost, and quality to maximize expected quality. A software development example applies this model to show the considerable impact uncertainty can have on project quality. In addition, multiple probability distributions are considered, and the effect of correlation between time and cost is explored. The STCQTP model provides an approach to determine an optimal hedge against uncertainties that fully takes quality into consideration.

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“…Fuzzy sets introduced by (Zadeh, 1965) is an efficient and accurate tool in uncertain circumstances (Zimmermann, 1978). Scholars have employed it in many cases (Mahdiraji et al, 2016;Razavi et al, 2015;Razavi et al, 2013). A complete review of Fuzzy sets and its applications can be found in (Buckley & Eslami, 2002;Masulli et al, 2007;Wang, 1983); however, a review of basic sets is briefed in the rest of this section.…”

Section: Fuzzy Set Theory Preliminariesmentioning

confidence: 99%

A Hybrid Fuzzy Regression - SSA Approach for Electricity Consumption Optimisation

Amoozad

Beheshti

Hossein

et al. 2019

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The critical impact of electricity on the quality of human life and the use of all electrical appliances and equipment is in principle self-evident. Nevertheless, governments cannot afford even productivity to consumption. The countries developed many structures to operate and improve the city and industrial electricity consumption and to manage power generation efficiency. Increase in population and the culture of consumption force the governments to raise the price. However, it is difficult to find ways and means to effectively manage trends in public behaviour and to control the harmful action of the population. This process requires knowing the need and consumption of electricity. The article discusses the primary criterion that influences electricity consumption and uses the singular spectrum analysis based on these factors to predict use. Besides, a fuzzy regression model is represented to optimise function. Results of optimisation show a considerable reduction in comparison with SSA forecasting method, indicating the efficiency of the offered method. Eventually results considerably assume that attention to a way of construction and improvements of the culture of use is a priority of the persons making decisions to reduce radical electric consumption in Iran and to become more optimistic concerning management of an electrical network.

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A grey multi-objective linear model to find critical path of a project by using time, cost, quality and risk parameters

Cited by 8 publications

References 26 publications

Exploring and evaluating success factors of social media marketing strategy: a multi-dimensional-multi-criteria framework

Exploring and evaluating success factors of social media marketing strategy: a multi-dimensional-multi-criteria framework

Optimal Hedging: Managing Time and Cost Uncertainty in the Stochastic Time-Cost-Quality Tradeoff Project Scheduling Problem

A Hybrid Fuzzy Regression - SSA Approach for Electricity Consumption Optimisation

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