Bidding Languages and Supplier Selection for Procurement Markets with Economies of Scale and Scope

2009 ◽  
Author(s):  
Stefan Schneider ◽  
Martin Bichler ◽  
Kemal Guler ◽  
Mehmet Sayal
Keyword(s):  
Supplier Selection ◽  
Economies Of Scale ◽  
Bidding Languages ◽  
Selection For

scholarly journals Compact bidding languages and supplier selection for markets with economies of scale and scope

2011 ◽  
Vol 214 (1) ◽  
pp. 67-77 ◽  
Author(s):  
Martin Bichler ◽  
Stefan Schneider ◽  
Kemal Guler ◽  
Mehmet Sayal
Keyword(s):  
Supplier Selection ◽  
Economies Of Scale ◽  
Bidding Languages ◽  
Selection For

An Approach for Supplier Selection for Construction Companies Through Analytical Hierarchy Process

2012 ◽  
Vol 2 (5) ◽  
pp. 177-179
Author(s):  
Bhavik K Daxini ◽  
◽  
Prof. (Dr.) R.B. Bhatt Prof. (Dr.) R.B. Bhatt ◽  
Prof. Jayeshkumar Pitroda
Keyword(s):  
Analytical Hierarchy Process ◽  
Supplier Selection ◽  
Construction Companies ◽  
Selection For ◽  
Hierarchy Process

scholarly journals SUPPLIER SELECTION FOR HOUSING DEVELOPMENT BY AN INTEGRATED METHOD WITH INTERVAL ROUGH BOUNDARIES

2020 ◽  
Vol 24 (4) ◽  
pp. 269-284 ◽  
Author(s):  
Zhiying Zhang ◽  
Huchang Liao ◽  
Abdullah Al-Barakati ◽  
Edmundas Kazimieras Zavadskas ◽  
Jurgita Antuchevičienė
Keyword(s):  
Supplier Selection ◽  
Multiple Criteria Decision Making ◽  
Housing Development ◽  
Integrated Method ◽  
Component Supplier ◽  
Probability Aggregation ◽  
Selection For ◽  
Rough Boundaries ◽  
Decision Making Model ◽  
Fuzzy Linguistic

Residential whole-decoration is an important initiative for housing industrialization in China. Selecting the most suitable component supplier for housing development is of great significance for both property developers and buyers in the implementation of such a strategy. To address such a problem, this study uses hesitant fuzzy linguistic term sets to express the inaccurate judgments of individuals and then introduces a novel probability aggregation approach based on interval rough boundaries to enable a realistic presentation of the collective evaluations of a group. Then, we propose a hybrid multi-expert multiple criteria decision-making model by integrating the Best Worst Method (BWM) and Combined Compromise Solution (CoCoSo) method based on the interval rough boundaries. A case study about the supplier selection for housing development is carried out, which demonstrates the feasibility and applicability of our proposed hybrid model. A comparison study is also performed to further validate the robustness of the model.

scholarly journals Construction of capital procurement decision making model to optimize supplier selection using Fuzzy Delphi and AHP-DEMATEL

2018 ◽  
Vol 25 (5) ◽  
pp. 1528-1547 ◽  
Author(s):  
Anil Kumar ◽  
Amit Pal ◽  
Ashwani Vohra ◽  
Sachin Gupta ◽  
Suryakant Manchanda ◽  
...  
Keyword(s):  
Decision Making ◽  
Automobile Industry ◽  
Supplier Selection ◽  
Selection Process ◽  
Strategic Decision ◽  
Extensive Literature ◽  
Content Type ◽  
Fuzzy Delphi ◽  
Selection For ◽  
Decision Making Model

Purpose Supplier selection for capital procurement is a major strategic decision for any automobile company. The decision determines the success of the company and must be taken systematically with the utmost transparency. The purpose of this paper is to construct capital procurement decision-making model to optimize supplier selection in the Indian automobile industry. Design/methodology/approach To achieve the stated objective, a combined approach of fuzzy theory and AHP-DEMATEL is applied. Evaluation parameters are identified through an extensive literature review and criteria validation has been introduced through a Fuzzy Delphi method by using fuzzy linguistic scales to handle the vagueness of information. AHP is employed to find the priority weight of criteria, although an inter-relationship map among criteria is not possible through AHP alone since it considers all criteria as independent. To overcome this, DEMATEL is used to establish cause-effect relationships among criteria. Findings The results show that the total cost of ownership (TOC) is the first weighted criterion in supplier selection for capital procurement, followed by manufacturing flexibility and maintainability, then conformity with requirement. The cause-effect model shows that supplier profile, TOC, service support and conformity with requirement are in the cause group and are considered to be the most critical factors in selecting the supplier. Originality/value The study’s outcome can help the automobile industry to optimize their selection process in selecting their suppliers for capital procurement; the proposed model can provide guidelines and direction in this regard.

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