Supply chain risk prioritisation using a hybrid AHP and PROMETHEE approach

Venkatesan, S. Prasanna; Kumanan, S.

doi:10.1504/ijsom.2012.048274

Cited by 32 publications

(11 citation statements)

References 51 publications

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“…To achieve this goal, we propose the combination of the AHP and PROMETHEE approaches by using them at different stages of the MCDA methodology. Although different in nature, operational synergies can arise from the integration of both methods, as already demonstrated in the literature (Macharis et al., ; Wang and Yang, ; Dagdeviren, ; Turcksin et al., ; Bogdanovic et al., ; Venkatesan and Kumanan, ; Gervásio and Simões da Silva, ; Agha et al., ; Avikal et al., ; Nasiri et al., ; Bansal and Kumar, ; Herva and Roca, ). The contributions of this paper are twofold.…”

Section: Introductionmentioning

confidence: 86%

“…The main difference between these case studies and the one presented here is the field of application and the target problem. The AHP‐PROMETHEE has been used to solve certain problems such as information systems outsourcing decisions (Wang and Yang, ), equipment selection (Dagdeviren, ), multi‐instrumentality policy package selection (Turcksin et al., ), mining method selection (Bogdanovic et al., ), supply chain risk prioritization (Venkatesan and Kumanan, ), comparative assessment of infrastructures from a sustainability viewpoint (Gervásio and Simões da Silva, ), crop planning under different economic conditions (Agha et al., ), task prioritization in disassembly workstations (Avikal et al., ), determination of the most suitable areas for flood spreading and artificial recharge of aquifers (Nasiri et al., ), selection of an efficient 3PL firm for a manufacturer (Bansal and Kumar, ), and selection of municipal solid waste treatments (Herva and Roca, ). Nevertheless, to the best of our knowledge, to date no work has used the AHP‐PROMETHEE to solve problems arising in the paint shop of an automobile assembly plant.…”

Section: Methodsmentioning

confidence: 99%

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Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP‐PROMETHEE approach

Oliveira

Fontes

Pereira

2015

Int Trans Operational Res

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The painting activity is one of the most complex and important activities in automobile manufacturing. The inherent complexity of the painting activity and the frequent need for repainting usually turn the painting process into a bottleneck in automobile assembly plants, which is reflected in higher operating costs and longer overall cycle times. One possible approach for optimizing the performance of the paint shop is to improve the efficiency of the color planning. This can be accomplished by evaluating the relative merits of a set of vehicle painting plans. Since this problem has a multicriteria nature, we resort to the multicriteria decision analysis (MCDA) methodology to tackle it. A recent trend in the MCDA field is the development of hybrid approaches that are used to achieve operational synergies between different methods. Here we apply, for the first time, an integrated approach that combines the strengths of the analytic hierarchy process (AHP) and the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE), aided by Geometrical Analysis for Interactive Aid (GAIA), to the problem of assessing alternative vehicle painting plans. The management of the assembly plant found the results of value and is currently using them in order to schedule the painting activities such that an enhancement of the operational efficiency of the paint shop is obtained. This efficiency gain has allowed the management to bid for a new automobile model to be assembled at this specific plant.Keywords: AHP; automobile paint shop; GAIA; multicriteria decision analysis; PROMETHEE evaluation of painting plans would be simpler if the assessment was based solely on one criterion (for instance, reduction of paint consumption (PC) levels). However, the appropriate treatment of this problem should embrace the inherent complexity of the painting system by taking into account all the relevant criteria affecting the decision. These criteria can be of qualitative or quantitative nature and they reflect different dimensions of the decision process (e.g., technological, economical, and environmental dimensions), which influence the decision-making process in various degrees. Besides, they are often conflicting since there exists no alternative optimizing all the criteria at the same time. The conflicting nature of criteria requires a trade-off between them. The problem of evaluating painting plans is characterized by all the aforementioned features thus having a multicriteria nature. For this reason, we resort to an MCDA methodology to address this problem.The application of MCDA to the problem of evaluating alternative painting plans in automobile assembly plants was first proposed by Oliveira et al. (2014). Besides introducing this new paint shop problem, the authors performed an assessment of a set of painting plans using two distinct MCDA methods: the AHP and the less-known MMASSI (multicriteria methodology for supporting the selection of information systems) method (Pereira and Sameiro de Carvalho, 2005). These method...

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Section: Introductionmentioning

confidence: 86%

Section: Methodsmentioning

confidence: 99%

Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP‐PROMETHEE approach

Oliveira

Fontes

Pereira

2015

Int Trans Operational Res

View full text Add to dashboard Cite

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“…The highest value of net flow denotes the best alternative. The computational details of hybrid AHP-PROMETHEE can be found in Venkatesan and Kumanan (2012).…”

Section: Preference Ranking Organization Methods For Enrichment Of Evamentioning

confidence: 99%

Comparative Analysis of Risk Management Strategies for Additive Manufacturing Supply Chains

Altubaishe¹,

Clarke²,

McWilliams³

et al. 2019

American Journal of Applied Sciences

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Supplier selection is an important strategic decision to be made in additive manufacturing supply chains. This paper presents a hybrid Analytic Hierarchy Process-Preference Ranking Organization Method for Enrichment of Evaluations (AHP-PROMETHEE) algorithms-based Failure Mode and Effects Analysis (FMEA) for supplier selection in a risk-based environment. Our approach is contrasted with an FMEA based on a Fuzzy Analytic Hierarchy Process (FAHP) for modeling assessment and mitigation of risk. In the FAHP method, the selection of the best supplier is based on the value of the weighted RPN whereas, in the hybrid AHP-PROMETHEE method, the selection of the best supplier is based on the value of outranking. An illustrative case study is used for a comparative analysis between the two methods. The AHP-PROMETHEE algorithmsbased FMEA was the preferred method based on ease of implementation, accuracy of results and higher decision-maker involvement as compared to the FAHP method. This research develops a hybrid AHP-PROMETHEE algorithms-based FMEA to incorporate risk criteria toward systematic evaluation of suppliers for supply chain management.

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“…The integration of AHP and PROMETHEE methods have been successfully implemented in various fields such as information systems outsourcing (Wang, Yang 2007), equipment selection (Dagdeviren 2008), policy scenario selection (Turcksin et al 2011), supply chain risk prioritization (Venkatesan, Kumanan 2012), and mining method selection (Bogdanovic et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Subcontractor Selection Using the Integration of the Ahp and Promrthee Methods

Polat

2015

Journal of Civil Engineering and Management

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Abstract. On many construction projects, especially building projects, 80-90% of the tasks are performed by subcontractors. Since the success of the project highly depends on the performances of the subcontractors, selecting the right subcontractor for the right job is critical. Main contractors generally tend to select the subcontractors that offer the lowest bid price. However, working with unqualified and insufficiently financed subcontractors may result in inefficiencies and failures. Thus, a combination of several compromising and conflicting criteria underpinning financial capacity and competencies of the subcontractors should be considered during the subcontractor selection process. This paper proposes an integrated decision approach, which employs analytic hierarchy process (AHP) and preference ranking organization method for enrichment evaluations (PROMETHEE) together, for the subcontractor selection problem. In the proposed approach, AHP is used to analyze the structure of the subcontractor selection problem and to determine the weights of the criteria, and PROMETHEE is employed to obtain complete ranking and perform sensitivity analysis by changing the weights of criteria. The proposed approach is applied to a problem of selecting the most appropriate subcontractor to be worked with in an international construction project. Company management found the proposed decision approach satisfactory and implementable in future subcontractor selection problems.

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Supply chain risk prioritisation using a hybrid AHP and PROMETHEE approach

Cited by 32 publications

References 51 publications

Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP‐PROMETHEE approach

Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP‐PROMETHEE approach

Comparative Analysis of Risk Management Strategies for Additive Manufacturing Supply Chains

Subcontractor Selection Using the Integration of the Ahp and Promrthee Methods

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