A material supplier selection model for property developers using Fuzzy Principal Component Analysis

Lam, K. C.; Tao, Ran; Lam, Mike Chun-Kit

doi:10.1016/j.autcon.2010.02.007

Cited by 96 publications

(56 citation statements)

References 32 publications

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“…Step 7 Estimation of all RN(ASi) alternatives values and their ranging By applying the Equation (38), the values RN(ASi) are obtained and are presented in Table 11. In the final, seventh step, the ranging towards the falling series of numbers was performed as well.…”

Section: E 3 Ementioning

confidence: 99%

“…The evaluation and supplier selection in Iran [69] have been carried out by combination of AHP and ANP methods. The evaluation of the supplier for the construction material can be performed by using Fuzzy Principal Component Analysis [38].…”

Section: Criteria Referencesmentioning

confidence: 99%

“…Quality of material [6,21, Price of material [6,21,[26][27][28][29][30][31][33][34][35][36][37][38][39][40][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56] Certification of products [26,31,40,42,44,50,52,57] Delivery time [21,[26][27][28][29][30][31][33][34][35][36]…”

Section: Criteria Referencesmentioning

confidence: 99%

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Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

et al. 2017

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Supply chain presents a very complex field involving a large number of participants. The aim of the complete supply chain is finding an optimum from the aspect of all participants, which is a rather complex task. In order to ensure optimum satisfaction for all participants, it is necessary that the beginning phase consists of correct evaluations and supplier selection. In this study, the supplier selection was performed in the construction company, on the basis of a new approach in the field of multi-criteria model. Weight coefficients were obtained by DEMATEL (Decision Making Trial and Evaluation Laboratory) method, based on the rough numbers. Evaluation and the supplier selection were made on the basis of a new Rough EDAS (Evaluation based on Distance from Average Solution) method, which presents one of the latest methods in this field. In order to determine the stability of the model and the applicability of the proposed Rough EDAS method, an extension of the COPRAS and MULTIMOORA method by rough numbers was also performed in this study, and the findings of the comparative analysis were presented. Besides the new approaches based on the extension by rough numbers, the results are also compared with the Rough MABAC (MultiAttributive Border Approximation area Comparison) and Rough MAIRCA (MultiAttributive Ideal-Real Comparative Analysis). In addition, in the sensitivity analysis, 18 different scenarios were formed, the ones in which criteria change their original values. At the end of the sensitivity analysis, SCC (Spearman Correlation Coefficient) of the obtained ranges was carried out, confirming the applicability of the proposed approaches.

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Section: E 3 Ementioning

confidence: 99%

Section: Criteria Referencesmentioning

confidence: 99%

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Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

et al. 2017

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“…This method is used widely in supplier selection. It is used to detect or find the interaction between equivalent levels of criteria and to reduce the judgmental forecast error (Lam et al, 2010).…”

Section: Analytic Network Process (Anp)mentioning

confidence: 99%

“…The AHP method involves breaking down a complex problem into different levels. Once these levels have been identified, pairwise comparison is performed to find the interrelationships among them (Lam et al, 2010).…”

Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

Factors that Affect the Quality of Inputs in Manufacturing Organisations: A Case Study of Nampak Kenya Limited

Maina¹,

Bwisa²

2014

IJARBSS

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Supplier selection, Supply base reduction and supplier development among other factors plays a vital role in ensuring that manufacturing organizations get an acceptable quality of inputs from their suppliers. The purpose of this study is to carry out a research on how the above factors affect the quality of inputs in manufacturing organizations in Kenya. Studies carried out by previous researchers showed that manufacturing organizations lose a lot of money and time patching up issue brought about by poor quality of inputs which leads to scrap, rework and repair, trouble shooting, concessions, and downgrading and even losing future job opportunities.The research was carried out in Nampak Kenya Limited which is a food packaging company with both local and international suppliers of its raw materials. A questionnaire, interview guide and observation guide were all used to collect the data. A response rate of 92% was obtained. Based on the research findings 89% of the respondents indicated that supplier selection criterion affected the quality of input in manufacturing organizations.83.9% held it that supply base reduction greatly affects the quality of inputs and 61% said that supplier development greatly affects the quality of inputs in manufacturing organizations. The study concluded that manufacturing organizations in Kenya need to improve on their supplier selection criterion, reduce their supply base and also need to develop their suppliers rather than getting new ones all the time.

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Project System Vulnerability to Political Risks in International Construction Projects: The Case of Chinese Contractors

Deng

Pheng

Zhao

2014

Project Management Journal

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This study aims to explore the variables affecting the project system vulnerability to political risks in international construction projects. A questionnaire survey was conducted and 138 responses were received from both academia and industry. The exploratory factor analysis was then adopted to uncover the relationships among these variables. The results showed that three exposure factors (i.e., attribute‐based exposure, strategy‐based exposure, and transaction‐based exposure) and three capacity factors (i.e., core competitive capacity, relative bargain capacity, and integrate adaptive capacity) were believed to be the significant underlying factors for the project system vulnerability to political risks. Also, case studies were conducted and the results indicated that the emergent framework was suitable and tractable for application in the future. This study provides a method for measuring the project system vulnerability to political risks; thus, international construction enterprises can decrease their risk exposure and enhance their capacity for dealing with political risks in international construction projects.

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A material supplier selection model for property developers using Fuzzy Principal Component Analysis

Cited by 96 publications

References 32 publications

Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

Factors that Affect the Quality of Inputs in Manufacturing Organisations: A Case Study of Nampak Kenya Limited

Project System Vulnerability to Political Risks in International Construction Projects: The Case of Chinese Contractors

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