https://minerva-access.unimelb.edu.au/bitstream/handle/11343/118668/Multi-critea decision_24.pdf

Multi-criteria decision making approaches for supplier evaluation and selection: A literature review

With growing worldwide awareness of environmental protection, green production has become an important issue for almost every manufacturer and will determine the sustainability of a manufacturer in the long term. A performance evaluation system for green suppliers thus is necessary to determine the suitability of suppliers to cooperate with the firm. While the works on the evaluation and/or selection of suppliers are abundant, those that concern environmental issues are rather limited. Therefore, in this study, a model for evaluating green suppliers is proposed. The Delphi method is applied first to differentiate the criteria for evaluating traditional suppliers and green suppliers. A hierarchy is constructed next to help evaluate the importance of the selected criteria and the performance of green suppliers. Since experts may not identify the importance of factors clearly, the results of questionnaires may be biased. To consider the vagueness of experts' opinions, the fuzzy extended analytic hierarchy process is exploited. With the proposed model, manufacturers can have a better understanding of the capabilities that a green supplier must possess and can evaluate and select the most suitable green supplier for cooperation.

https://ir.nctu.edu.tw:443/bitstream/11536/7282/1/000264528600071.pdf

A green supplier selection model for high-tech industry

The paper proposed a Fuzzy Multiple Criteria Decision Making (FMCDM) approach for banking performance evaluation. Drawing on the four perspectives of a Balanced Scorecard (BSC), this research first summarized the evaluation indexes synthesized from the literature relating to banking performance. Then, for screening these indexes, 23 indexes fit for banking performance evaluation were selected through expert questionnaires. Furthermore, the relative weights of the chosen evaluation indexes were calculated by Fuzzy Analytic Hierarchy Process (FAHP). And the three MCDM analytical tools of SAW, TOPSIS, and VIKOR were respectively adopted to rank the banking performance and improve the gaps with three banks as an empirical example. The analysis results highlight the critical aspects of evaluation criteria as well as the gaps to improve banking performance for achieving aspired/desired level. It shows that the proposed FMCDM evaluation model of banking performance using the BSC framework can be a useful and effective assessment tool.

https://ir.nctu.edu.tw:443/bitstream/11536/6864/1/000266086600065.pdf

A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard

Applying hazardous substance management to supplier selection using analytic network process

Research highlights? Describing, defining, and understanding better project complexity and its measures. ? Building up a generic project complexity framework. ? Performing a Delphi study about project complexity factors. ? Building up an AHP-based multi-criteria evaluation of project complexity. ? Exploring the sensitivity of such a measure. Project complexity is ever growing and needs to be understood, analysed and measured better to assist modern project management. The overall ambition of this paper is therefore to define a measure of project complexity in order to assist decision-making, notably when analysing several projects in a portfolio, or when studying different areas of a project. A synthesised literature review on existing complexity measures is firstly proposed in order to highlight their limitations. Then, we identify the multiple aspects of project complexity thanks to the construction and refinement of a project complexity framework thanks to an international Delphi study. We then propose a multi-criteria approach to project complexity evaluation, underlining the benefits of such an approach. In order to solve properly this multi-criteria problem, we first conduct a critical state of the art on multi-criteria methodologies. We then argue for the use of the Analytic Hierarchy Process. In the end, this tool permits to define a relative project complexity measure, which can notably assist decision-making. Complexity scales and subscales are defined in order to highlight the most complex alternatives and their principal sources of complexity within the set of criteria and sub-criteria which exist in the hierarchical structure. Finally, a case study within a start-up firm in the entertainment industry (musicals production) is performed. Conclusions, limitations and perspectives of research are given in the end.

https://hal.archives-ouvertes.fr/hal-01219417/document

Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects

Purpose – To provide a good insight into the use of analytic network process (ANP) that is a multiple criteria decision‐making methodology in evaluating supplier selection problems.Design/methodology/approach – Supplier selection problems are multi‐objective problems which have many qualitative and quantitative concerns. In this study, an ANP model is proposed in evaluating supplier selection process as a framework to help managers.Findings – It is shown that ANP can be used as a decision analysis tool to solve multi‐criteria supplier selection problems that contain interdependencies.Research limitations/implications – ANP is a complex methodology and requires more comparisons than the traditional AHP and it increases the effort.Originality/value – Provides an effective framework to guide managers for evaluating suppliers.

Use of analytic network process in vendor selection decisions

An analytical network process-based framework for successful total quality management (TQM): An assessment of Turkish manufacturing industry readiness

Purpose – To provide a good insight into the use of analytic hierarchy process (AHP) that is a multiple criteria decision‐making methodology in evaluating flexible manufacturing systems (FMSs).Design/methodology/approach – In this study AHP is used to the decision by a tractor manufacturing plant to implement FMS. Also sensitivity analysis is conducted to see how realistic the final outcome is.Findings – Information on the use of AHP in assessing advanced manufacturing technologies is provided and an AHP model is proposed to guide the management of tractor manufacturing plant. Most important factors, and their relative importance and influences on the objective of the decision‐making model are found. By performing a sensitivity analysis, it is also found that the final outcome remained stable in all cases when the weights of the main criteria affecting the decision are varied up and down by 5 percent in all possible combinations.Research limitations/implications – When there are dependencies and interacti...

Use of AHP in decision‐making for flexible manufacturing systems

Supplier selection is one of the most crucial activities performed by the organizations because of its strategic importance. A supplier selection problem is a multi- objective problem involving both quantitative and qualitative criteria. Over the years a number of quantitative approaches have been applied to supplier selection problems. Although the Analytic Hierarchy Process (AHP) has previously been implemented in supplier selection problems, in this paper for the first time a comprehensive application of AHP for a real-world case is presented along with sensitivity analysis to choose the best supplier. We proposed an AHP model to choose the best supplier and place the order quantities among

/pdf/an-ahp-application-in-vendor-selection-1q1zzk6xwh.pdf

An ahp application in vendor selection

Supplier selection is one of the most crucial activities performed by organizations because of its strategic importance. Supplier selection is a multi-objective problem involving both quantitative and qualitative criteria. Over the years a number of quantitative approaches have been tried. Although the Analytic Hierarchy Process (AHP) has previously been used in supplier selection problems, one major weakness of the application-oriented AHP literature is that it tends to focus on the mechanics of AHP instead of on the theoretical and practical implications associated with finding a solution. Though it is one of the most extensively used Multiple Criteria Decision Analysis methodologies, our literature search indicated that most studies found the best solution and stopped there, ignoring sensitivity analysis. Performing sensitivity analysis is very important for practical decision making, sometimes even as important as finding the best solution. In this paper for the first time a comprehensive application of AHP for a real-world case is presented along with sensitivity analysis in choosing the best suppliers for a Turkish construction company. As a result of this study the company decided to allocate the order quantities between the two top suppliers.

Ozden Bayazit

Papers

Use of analytic network process in vendor selection decisions

An analytical network process-based framework for successful total quality management (TQM): An assessment of Turkish manufacturing industry readiness

Use of AHP in decision‐making for flexible manufacturing systems

An ahp application in vendor selection

A purchasing decision: Selecting a supplier for a construction company