Maintenance Strategy Evaluation Using ANP and Goal Programming

Jajimoggala, Sarojini; Rao, V.V.S. Kesava; Satyanarayana, Behara

doi:10.4018/jsds.2011040104

Cited by 19 publications

(8 citation statements)

References 45 publications

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“…Ghosh and Roy (2010) presented an integrated FAHP-GP method to support the maintenance selection decision making in the process industries. Jajimoggala et al (2011) presented an integrated FANP-GP method for MSS, in which the criteria weights are determined using a modified fuzzy logarithmic least squares method. Peng and Wang (2011a) presented a relative membership grade method to solve the MSS problem and then compared it with TOPSIS method.…”

Section: Mcdm Methodsmentioning

confidence: 99%

Maintenance strategy selection problem: an MCDM overview

Shafiee

2015

Journal of Quality in Maintenance Engineering

125

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Purpose – Maintenance strategy selection (MSS) is considered as a complex multiple-criteria decision-making (MCDM) problem. The purpose of this paper is to present a comprehensive review on the use and application of MCDM approach and its associated case studies in the field of MSS. Design/methodology/approach – The paper systematically classifies the published literature of both researchers and practitioners and then analyzes and reviews it methodically. Findings – This paper outlines the important issues relevant to the subject, including the techniques used for data collection, the quantitative and qualitative criteria taken into account in decision making, the maintenance strategies considered for evaluation, the methods applied to find the solution, and the type of industries being studied. In each category, the gaps are identified along with recommendations for the future research work. Practical implications – Literature on classification of the MCDM models used to select the most appropriate maintenance strategy is very limited. The proposed classification scheme not only will be useful to researchers, but also assists maintenance professionals to find the models that fit their specific needs. Originality/value – The paper provides many references in the field, including the articles published in academic journals, conference papers, master and doctoral dissertations, text books, and industrial reports, and suggests a classification scheme according to various attributes.

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Section: Mcdm Methodsmentioning

confidence: 99%

Maintenance strategy selection problem: an MCDM overview

Shafiee

2015

Journal of Quality in Maintenance Engineering

125

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“…In addition, Fong and Choi (2000) applied the AHP in a contractor selection problem which would help construction clients to identify contractors with the best potential to deliver satisfactory outcomes in a final contractor selection process. Jajimoggala et al (2011) presented an integrated approach for maintenance policy selection using fuzzy ANP and goal programming based on fuzzy preemptive priority. Sodenkamp (2012) proposed a multi-criteria decision analysis method to facilitate making supplier selection decisions by the distributed groups of experts and improving quality of the order allocation decisions.…”

Section: Contractor Selection Methodsmentioning

confidence: 99%

Contractor Selection Using Integrated Goal Programming and Fuzzy ELECTRE

Chaghooshi

Khanmohammadi

Faghei

et al. 2014

International Journal of Strategic Decision Sciences

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Outsourcing plays an important role in the success of organizations. One of the risks associated with outsourcing is inappropriate contractor selection which significantly influences the implementation of projects in terms of time, quality, and cost. In this study, we applied multi-criteria decision-making techniques in order to determine the best contractor using criteria such as reputation, offered price, and technical capacity. This study is primarily aimed at identifying important criteria of contractor selection, determining the significance of the criteria, and designing a framework for selection of the most appropriate contractor. Important criteria for selecting contractors were extracted from the literature and experts' views were collected using questionnaire. Accordingly, six criteria were selected and their weights were determined by the application of goal programming. Finally, contractors were ranked and the best contractor was selected using fuzzy ELECTRE technique with trapezoidal fuzzy numbers.

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“…Green IS adoption (Jajimoggala et al, 2010). Several objectives are achieved by MCDM, in which it provides a structured approach to determine the overall preferences among alternatives (Agha et al, 2014;Jajimoggala et al, 2011). TOPSIS can be used with both normal numbers and fuzzy numbers.…”

Section: Figure 4 the Integrated Framework Of Psychological Factors I...mentioning

confidence: 99%

Psychological Factors Influencing the Managers' Intention to Adopt Green IS

Esfahani

Nilashi

Rahman

et al. 2015

International Journal of Strategic Decision Sciences

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This paper proposes a comprehensive framework of the individual factors that influence organizational decision-makers to adopt Green information systems (IS), based on a review of psychological theories and empirical studies on Green IS and technology adoption. The objectives of this paper are, firstly, to explain that the adoption of Green IS by managers is directly influenced by their intention, which is assumed to be influenced by their attitude towards Green IS, subjective norms, perceived behavioral control and personal norms. In the framework, attitude towards Green IS is influenced by managers' positive and negative affect in response to Green IS. The findings of this study show that subjective norms are reflected from three sources containing primary, secondary and work referents. Perceived behavioral control includes self-efficacy, monetary cost–benefit assessment and the ethical climate of the organization. Personal norms are influenced by awareness of consequences, ascription of responsibilities and personal values including self-transcendence and self-enhancement. Secondly, the paper aims to assess the importance of the individual factors that influence the organizational decision-makers to adopt Green IS. Accordingly, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is applied to rank the importance of the factors incorporated in the proposed framework. The data for this study is collected by conducting an online survey through a structured questionnaire-based instrument comprising 5-point Likert-type scales. The findings of this study contribute to the Green IS literature by improving the decision-making process in IS adoption for the purpose of environmental sustainability enhancement. It is hoped that the proposed model would help to clarify the relative importance of the psychological and socio-demographic factors influencing the adoption of Green IS by organizational decision-makers.

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Maintenance Strategy Evaluation Using ANP and Goal Programming

Cited by 19 publications

References 45 publications

Maintenance strategy selection problem: an MCDM overview

Maintenance strategy selection problem: an MCDM overview

Contractor Selection Using Integrated Goal Programming and Fuzzy ELECTRE

Psychological Factors Influencing the Managers' Intention to Adopt Green IS

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