Modelling and development of decision model for supplier selection in process industry

Pandian, R. Sudhakara; Venkumar, P.; Rajakarunakaran, S.; Muthugurupackiam, Kadarkarai

doi:10.1504/ijcaet.2011.042359

Cited by 4 publications

(12 citation statements)

References 9 publications

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“…Another optimization method used as a solution method is Data Envelopment Analysis (DEA), as proposed in the paper of Pitchipoo, et al. [ 20 ] and Shahrzad, et al. [ 21 ].…”

Section: Supplementary Materials And/or Additional...mentioning

confidence: 99%

Optimization model for multi-products multi-periods multi-suppliers raw-material selection and composition, and order quantity problem with one-year minimum order quantity contract

Fadhli,

Uttunggadewa,

Hadianti

et al. 2023

MethodsX

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“…Another optimization method used as a solution method is Data Envelopment Analysis (DEA), as proposed in the paper of Pitchipoo, et al. [ 20 ] and Shahrzad, et al. [ 21 ].…”

Section: Supplementary Materials And/or Additional...mentioning

confidence: 99%

Optimization model for multi-products multi-periods multi-suppliers raw-material selection and composition, and order quantity problem with one-year minimum order quantity contract

Fadhli,

Uttunggadewa,

Hadianti

et al. 2023

MethodsX

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“…The data envelopment analysis (DEA) technique partly entails an optimization process conducted using linear programming; therefore, it can be used to determined weights. Several authors such as Pitchipoo, [37,41] have indicated that weights may be determined using DEA. These weights can be derived independently and thus involve less bias compared with those derive through other techniques.…”

Section: Future Research Directionsmentioning

confidence: 99%

Analytic Hierarchy Process-Based Airport Ground Handling Equipment Purchase Decision Model

Tao

Lee

2021

Sustainability

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The Airport ground handling services (AGHS) equipment supplier provider selection requires a safety guarantee in terms of the daily operations AGHS provider. AGHS providers seek to avoid aircraft damage and airline delays and ensure the provision of reliable and high-quality services. The primary objective of this paper was to develop purchasing decision model of the analytic hierarchy process (AHP), AHP-fuzzy linear programming (FLP), and AHP-Taguchi loss function (TLF) multi-choice goal programming (MCGP) purchase decision models to help the AGHS purchasing managers in selecting the best AGHS equipment supplier provider. The constructed models were assessed, and results obtained for the AHP-FLP and AHP-TLF-MCGP models were compared. We conducted a real-world example of supplier selection by an AGHS company by using the proposed models. The proposed model provides useful information and has practical value for AGHS providers.

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“…Tahriri et al (2008) developed an AHP-based supplier selection model and applied to a real case study for a steel manufacturing company in Malaysia. Pitchipoo et al (2011) developed an AHP model for the evaluation and selection of supplier for an electroplating industry in India. Yang and Chen (2006) proposed an integrated model by combining AHP and GRA to evaluate and select the supplier for a notebook computer manufacturer.…”

Section: Overview Of Modelsmentioning

confidence: 99%

Modeling and development of a decision support system for supplier selection in the process industry

Pandian¹,

Venkumar

Rajakarunakaran

2013

J Ind Eng Int

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This paper presents the development of a model based decision support system with a case study on solving the supplier selection problem in a chemical processing industry. For the evaluation and selection of supplier, the analytical hierarchy process (AHP) and grey relational analysis (GRA) were used. The intention of the study is to propose an appropriate platform for process industries in selecting suppliers, which was tested with an electroplating industry during the course of development. The sensitivity analysis was performed in order to improve the robustness of the results with regard to the relative importance of the evaluation criteria and the parameters of the evaluation process. Finally, a practical implementation study was carried out to reveal the procedure of the proposed system and identify the suitable supplier with detailed discussions about the benefits and limitations.

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Modelling and development of decision model for supplier selection in process industry

Cited by 4 publications

References 9 publications

Optimization model for multi-products multi-periods multi-suppliers raw-material selection and composition, and order quantity problem with one-year minimum order quantity contract

Optimization model for multi-products multi-periods multi-suppliers raw-material selection and composition, and order quantity problem with one-year minimum order quantity contract

Analytic Hierarchy Process-Based Airport Ground Handling Equipment Purchase Decision Model

Modeling and development of a decision support system for supplier selection in the process industry

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