Supplier Selection in Dynamic Environment using Analytic Hierarchy Process

Agarwal, Prince; Sahai, Manjari; Mishra, Vaibhav; Bag, Monark; Singh, Vrijendra

doi:10.5815/ijieeb.2014.04.03

Cited by 10 publications

(11 citation statements)

References 19 publications

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“…Furthermore, analytics can integrate supplier performance data with other critical information (e.g. current and emerging market trends) to provide insights on supplier responsiveness to customer needs and the potential for continuous improvements (Agarwal et al, 2014). The past and current performance of suppliers, in combination with future performance, form a holistic picture of each supplier, thus improving focal companies' decision making on supplier selection.…”

Section: Sca Capabilities and Osctmentioning

confidence: 99%

How supply chain analytics enables operational supply chain transparency

Zhu

Song

Hazen

et al. 2018

IJPDLM

172

154

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Purpose The global business environment combined with increasing societal expectations of sustainable business practices challenges firms with a host of emerging risk factors. As such, firms seek to increase supply chain transparency, enabling them to monitor operational activities and manage supply chain risks. Drawing on organizational information processing theory, the purpose of this paper is to examine how supply chain analytics (SCA) capabilities support operational supply chain transparency. Design/methodology/approach Using data from 477 survey participants, hypotheses are tested using seemingly unrelated regression. Findings The results reveal that: analytics capability in support of planning functions indirectly affects organizational supply chain transparency (OSCT) via SCA capabilities in source, make, and deliver functions; SCA capabilities in source, make, and deliver positively influence OSCT; and supply uncertainty moderates the relationship between SCA capabilities in make and OSCT. Research limitations/implications This research suffers from limitations inherent in all survey-based research. Nonetheless, the authors found convincing evidence that suggests firms can employ SCA capabilities to meet transparency requirements. Practical implications The findings inform design of SCA systems, noting the importance of linking planning tools with tools that support source, make, and deliver functions. The research also shows how transparency can be increased via employing SCA capabilities. Originality/value This is one of first studies to empirically demonstrate that SCA capabilities can be used to increase supply chain transparency. The research also advances organizational information processing theory by illustrating an analytics capability paradox, where increased levels of certain analytics capabilities can become counterproductive in the face of supplier uncertainty.

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Section: Sca Capabilities and Osctmentioning

confidence: 99%

How supply chain analytics enables operational supply chain transparency

Zhu

Song

Hazen

et al. 2018

IJPDLM

172

154

View full text Add to dashboard Cite

show abstract

“…Different from the findings in the literature (boxing problems with the LP technique [24][25][26] ) indigenous characteristics of the problem in the case firm were discussed. This discussion shows that the companies having a similar problem can easily convert the characteristics into their own problem.…”

Section: Case 2: In-package Quantity Determinationmentioning

confidence: 88%

“…It is possible to see that a large number of techniques such as AHP, ANP, MAUT/UTA, PROMETHEE, ELECTRE I, TOPSIS and Goal Programming (GP) are used in various decision problems. 25,26,56,57 In this section, AHP method was implemented.…”

Section: Package Selectionmentioning

confidence: 99%

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Analytical packaging process: A method for improving the transport packaging

Mungan

Aydın

2022

Packag Technol Sci

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The purpose is to present the steps and mathematical methods of improving the transport packaging process, which is an integral operation of outbound logistics. Case studies involving tertiary packaging have been conducted, as it is a traditional form of transport packaging. AHP (analytical hierarchy process), as one of multidecision criteria methods, has been used for packing selection. It allows decision‐makers to model complex problems in a hierarchical structure that shows the relationship between the objective, criteria and alternatives. LP (linear programming) which helps to locate the optimal solution to a set of linear equations with a linear objective function has been suggested for in‐pack quantity analysis. The package performance has been tracked by the AHP&DEMATEL hybrid model. AHP does not evaluate the interactions between the factors. Thanks to DEMATEL (Decision‐Making Trial and Evaluation Laboratory), it is possible to strengthen this aspect by showing causal relationships on a diagram. The results highlight that an ‘analytical packaging process (APP)’ that has not been reported in previous researches allows for a proactive approach and intervention to the efficiency of the packaging. The proposal to implement APP, based on three stages as package selection, determination quantity in package and evaluation of the performance, is particularly significant while contributing to the competitive advantage. This paper seeks to fulfil the gap by providing a unified framework for packaging process categories. This study is the first study that uses both the AHP & DEMATEL hybrid model and prioritises the participants in scoring of the packaging.

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“…The use of such technique will reduce the level of subjectivity in supplier evaluation and selection and allows one to reach an optimal selection decision. Agarwal et al (2014) used AHP for the selection of suppliers. They have selected four criteria for this research such as operations, flexibility, cost and delivery for the selection of suppliers.…”

Section: Introductionmentioning

confidence: 99%

Knowledge management based supplier selection of wind turbine manufacturer supply chain

Kumar

Rajan

2019

IJKMS

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Knowledge management process (KM) is the stepping stone of several industries development and supply chain management process because 25% of the industries do not have a direct relationship between the organisational learning and material requirements of the particular product. So, in this paper introduces the knowledge management based analytical hierarchy process (AHP) for gathering the effective supply information. Along with the AHP method, ABC analysis process is used to estimate the critical items while selecting the suppliers. The developed system helps to identify the exact suppliers; critical components involved in the supplier selection process also develop the multi-criteria model for selection of the supplier. At the time of supplier selection process, the method uses the gear box concept which utilises the several knowledgeable information such as the cost of the material, quality of the material, delivery process, consistency of the material and stability. The examined knowledge management (KM) process based supplier selection process improves the performance of the supply chain in the wind industry. In this paper, the wind industry material supplier selection process is discussed as a case study.

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Supplier Selection in Dynamic Environment using Analytic Hierarchy Process

Cited by 10 publications

References 19 publications

How supply chain analytics enables operational supply chain transparency

How supply chain analytics enables operational supply chain transparency

Analytical packaging process: A method for improving the transport packaging

Knowledge management based supplier selection of wind turbine manufacturer supply chain

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