Ranking the barriers of knowledge management adoption in supply chain using fuzzy AHP method

Patil, Sachin K.; Kant, Ravi

doi:10.1504/ijbir.2014.058047

Cited by 23 publications

(18 citation statements)

References 52 publications

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“…Meanwhile, experts or decision-makers are humans who certainly cannot avoid mistakes. Thus, AHP has not been able to overcome the uncertainty and ambiguity of the experts' assessments [5][17] [18]. This is very possible if the number of criteria to be compared is quite large.…”

Section: Weighting Validationmentioning

confidence: 99%

“…This is because if the consistency ratio is less than 10%, the comparison matrix between criteria is stated to be consistent. Where aij is the element of the pairwise comparison matrix between the criteria i and j, and Wi is the relative weight of criterion i, where the value can be obtained by equation (5). The notation λi is the Eigenvalue of criterion i, and the notation n is the number of criteria.…”

Section: Weighting Validationmentioning

confidence: 99%

“…Each comparison value is then compiled into a pairwise comparison matrix. This assessment is prone to inconsistency from decision-makers [5].…”

Section: Introductionmentioning

confidence: 99%

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Proposed Method for Supplier Selection

Ristono

Wahyuningsih

Junianto

2020

TSSJ

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The use of the Analytical Hierarchy Process (AHP) is frequent in supplier selection. First, AHP is a pairwise comparison between criteria. If the pairwise comparisons are inconsistent, the result is invalid. Thus, the process of comparing criteria must be repeated continuously until valid results are obtained. This process takes time and costs so it is considered inefficient. This research proposes the application of the Hamilton chain process into the pairwise comparison matrix. One criterion is symbolized as a knot, while the arc is symbolized as the pairwise comparison value between the two nodes or the connected criterion. In the network model of the AHP method, each node is connected to all other nodes without exception. Whereas in the proposed method, each criterion or node is compared only once. That said, avoiding inconsistencies can be made. The consistency ratio result of the proposed method is found to be consistent

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Section: Weighting Validationmentioning

confidence: 99%

Section: Weighting Validationmentioning

confidence: 99%

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Proposed Method for Supplier Selection

Ristono

Wahyuningsih

Junianto

2020

TSSJ

View full text Add to dashboard Cite

show abstract

“…In order to gain competitive advantages and develop knowledge in gaining such advantages, Patil and Kant (2014) proposed fuzzy analytical hierarchy process (FAHP) method. The empirical study presented in this paper illustrate the proposed method and demonstrate its usefulness.…”

Section: Application Of Ahp In Different Fieldsmentioning

confidence: 99%

Application of AHP in reverse logistics service provider selection: a case study

Jain

Khan

2017

IJBIR

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Abstract:In the recent time, reverse logistics has become essential for organisations because of unavoidable product returns, government regulation, environmental concerns and sustainability. Reverse logistic is one way to reduce costs, increase revenue and remain competitive in market. In many organisations, by-products and waste materials have the potential to become valuable inputs. Not many organisations have a satisfactory reverse logistics system for recovering their rejected parts for reuse or recycle. This is because of lack of systematic investigation and importance. In this connection, this paper formulates the reverse logistics service provider selection as a multi criteria decision making problem and develops a methodology to select the best two reverse logistics service providers for an injection moulding parts manufacturer company using analytical hierarchy process (AHP). A real life case study demonstrates the application of the proposed method and sensitivity analysis is carried out to confirm the robustness of the proposed methodology.Keywords: reverse logistics; analytical hierarchy process; AHP; sensitivity analysis; injection moulded parts; automotive parts manufacturer.Reference to this paper should be made as follows: Jain, V. and Khan, S.A. (2017) 'Application of AHP in reverse logistics service provider selection: a case study ', Int.

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“…Knowledge Management (KM) is beginning to play an increasingly more important role in organizations across various industries [1][2][3][4][5][6]. The KM process has been divided into two main macro-processes: knowledge management adoption, and knowledge management development [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

An Exploratory Study on Knowledge Management Process Barriers in the Oil Industry

Ceptureanu

Olaru

et al. 2018

Energies

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This paper identify and discuss barriers affecting knowledge management (KM) processes in the oil industry. Based on reviewing the literature on this topic, we used a conceptual model comprising the most important barriers, grouped in three categories-organizational, knowledge and people related-influencing four critical KM processes-creation, storage, share and application. Using factor analysis, we identified which barriers influence the most each of the KM process and what are the practical implications for companies operating in the oil industry. This study provides useful insights regarding knowledge processes barriers, enabling top executives to better cope with factors hindering successful implementation of KM initiatives.

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Ranking the barriers of knowledge management adoption in supply chain using fuzzy AHP method

Cited by 23 publications

References 52 publications

Proposed Method for Supplier Selection

Proposed Method for Supplier Selection

Application of AHP in reverse logistics service provider selection: a case study

An Exploratory Study on Knowledge Management Process Barriers in the Oil Industry

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