scholarly journals Comparative Analysis of Factors for Supplier Selection and Monitoring: The Case of the Automotive Industry in Thailand

2019 ◽  
Vol 11 (4) ◽  
pp. 981 ◽  
Author(s):  
Juthathip Suraraksa ◽  
Kwang Shin
Keyword(s):  
Automotive Industry ◽  
Supplier Selection ◽  
Management Strategies ◽  
Supplier Management ◽  
Global Market ◽  
Analytic Hierarchy ◽  
Management Framework ◽  
Monitoring Process ◽  
The Difference ◽  
Two Phases

The integration of the global market makes the supply chain more complex and has great impacts on efficient supplier management strategies. The aim of this study is to present a systematic supplier management framework to integrate supplier selection and monitoring phases, which are not independent of each other. However, only a few previous studies have pointed out the differences between the two phases. The proposed methodology integrates a quantitative and qualitative approach, formulating multi-criteria decision making (MCDM) using the analytic hierarchy process (AHP) to evaluate the priorities of these criteria. This research explores the difference in the set of criteria for supplier selection and supplier monitoring. The results provide comprehensive insights into the criteria to help decision-makers, managers, and practitioners select appropriate suppliers and monitor suppliers’ performances in the automotive industry. Based on the result, it can be said that a company should integrate the supplier selection and monitoring process. Furthermore, the purchasing and manufacturing manager should continuously collaborate and synchronize the relative weights for the critical factors.

Linking supplier selection and management strategies with mass customization capability

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Inayat Ullah ◽  
Rakesh Narain
Keyword(s):  
Mass Customization ◽  
Supplier Selection ◽  
Management Strategies ◽  
Supplier Management ◽  
Data Set ◽  
Content Type ◽  
Selection Strategies ◽  
Manufacturing Organizations ◽  
Different Types ◽  
Practical Implications

Purpose Owing to the paucity of literature, in the specific context of mass customization (MC), that explains what factors need to be considered while selecting suppliers and what strategies need to be implemented for effective management of suppliers, this paper aims to explore the effective supplier selection and management strategies and also investigate their impact on the development of mass customization capability (MCC). Design/methodology/approach Through an extensive review of literature, a total of 18 factors for supplier selection and management have been identified. Further, using multiple regression analysis, the linkages between these factors and MCCs have been examined based on the data set from the survey of Indian manufacturing organizations. Findings The results indicate that while concentrating on the responsive and reconfiguration capability, all the five measures of supplier selection and the four measures of supplier management have shown a significant influence. However, in the case of relational capability, only two of the supplier selection strategies and three of the supplier management strategies have shown a notable impact. Practical implications The study provides help to the firms in deciding whom to select and how to manage the suppliers in the course of improving their MCCs. The study has shown the possibility that different types of MCCs might require different approaches to both the supplier selection and management. Originality/value To the best of the authors’ knowledge, this study happens to be the first of its kind that investigates the interconnectedness among the supplier selection and management strategies and MCCs.

Framework for Study of Supplier Relationships in Indian Automotive Supply Chains

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Souresh Bhattacharya ◽  
D. Mukhopadhyay ◽  
Sunil Giri
Keyword(s):  
Supply Chains ◽  
Automotive Industry ◽  
Supplier Management ◽  
Supplier Relationships ◽  
Technological Advances ◽  
Management Orientation ◽  
High Level ◽  
Supplier Partnerships ◽  
Automotive Supply ◽  
Supplier Relationship

Indian automotive industry has increasingly adopted global supply chain best practices including supplier relationship as a management imperative, in the last two decades. Increased competition, globalization, wide-spread outsourcing, use of information technology and rapid technological advances have contributed in supplier relationship development with the objective to achieve competitive advantage and a high level of performance. It is evident that only if mutual benefits accrue to both Vehicle Assemblers (VA) and their suppliers, the partnership between them would be meaningful and effective. Also, VAs have necessarily, to invest considerable resources and effort in achieving collaboration with their suppliers and cost-effectiveness becomes an issue which leads to supply base rationalization and a segmented approach. Therefore understanding the issues involved and identifying focus areas for successful supplier relationships becomes an imperative. This paper, based on an exploratory study, delves into the VA-supplier interface in Indian automobile supply chains, examines various theoretical and practical dimensions, in order to identify strategic imperatives (key impact drivers), Supplier Management Orientation (SMO) of VAs, adoption of Supplier Development Practices, extent of VA-supplier partnerships and mutual benefits accruing to both entities. Based on this a framework for holistically studying the VA-supplier interface is proposed.

scholarly journals Research on Supplier Selection of Prefabricated Building Elements from the Perspective of Sustainable Development

2021 ◽  
Vol 13 (11) ◽  
pp. 6080
Author(s):  
Yinghui Song ◽  
Junwu Wang ◽  
Feng Guo ◽  
Jiequn Lu ◽  
Sen Liu
Keyword(s):  
Sustainable Development ◽  
Analytic Hierarchy Process ◽  
Supplier Selection ◽  
Equation Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Analytic Hierarchy ◽  
Building Element ◽  
Hierarchy Process ◽  
Prefabricated Building

Prefabricated building is an efficient building mode. Compared with the traditional building mode, the prefabricated building has advantages of less pollution, high construction efficiency, being more labor-saving, and economy, which is in line with China’s sustainable development strategy. This paper proposes a supplier selection evaluation model based on the mechanism equation model (SEM) and intuitionistic fuzzy analytic hierarchy process (IFAHP). Based on a detailed literature review, 300 structured questionnaires were distributed to the relevant enterprises, and an evaluation index system of prefabricated building element suppliers was built. With the fitting and modification process using a structural equation model, and assist of a path factor, an evaluation index system for evaluating the prefabricated building element suppliers was finally obtained. Finally, the intuitionistic fuzzy analytic hierarchy process was used to establish a selection model of prefabricated element suppliers, and the prefabricated element suppliers of Shuangyashan prefabricated construction projects were analyzed as a case study. The results show that the following factors have the most significant impact on supplier selection (from high to low): quality, economy, long-term cooperation, after-sales, and transportation. This study had a comprehensive consideration of the influencing factors existing in the whole selection process and should provide a valuable reference for the sustainable development of prefabricated construction engineering.

Utilizing analytic hierarchy process for improved decision making within supply chains

2008 ◽  
Vol 27 (1) ◽  
pp. 49-62
Author(s):  
Sameer Kumar ◽  
John Bisson
Keyword(s):  
Analytic Hierarchy Process ◽  
Global Economy ◽  
Supplier Selection ◽  
Selection Process ◽  
Decision Support Tool ◽  
Data Availability ◽  
Analytic Hierarchy ◽  
Support Tool ◽  
Device Manufacturer ◽  
Hierarchy Process

With a growing global economy and competition and increased outsourcing, the supplier selection process has gained more focus and importance within many business enterprises for developing an integrated supply network. Analytic Hierarchy Process (AHP) has been identified as an ideal multi-objective decision support tool to assist firms in completing the supplier selection process as part of strengthening their procurement strategies. This paper involved secondary research methods to gain an understanding of AHP, its various applications, and exploration of how to incorporate non-traditional selection criteria such as environmental criterion into the process. AHP's application for optimal supplier selection to support integrated procurement process is illustrated through an example of a Medical Device Manufacturer (MDM), known for established supplier-customer partnerships and alliances. Major limitation in studying this example included data availability to complete a comprehensive AHP decision management model. However, it was found that AHP is a powerful, structured but flexible method of addressing the multi-criteria supplier selection decision that facilitates building an integrated supply chain.

scholarly journals Optimization of inbound logistics cost in automotive industry

2018 ◽  
Vol 204 ◽  
pp. 02007
Author(s):  
Inaki Maulida Hakim ◽  
Rolina Oktapiani Zaqiah ◽  
Yuri M. Zagloel Teuku
Keyword(s):  
Automotive Industry ◽  
Raw Materials ◽  
Transportation Cost ◽  
Global Market ◽  
Mixed Integer ◽  
Integer Nonlinear Programming ◽  
Material Load ◽  
Optimization Methodology ◽  
Optimal Material ◽  
Inbound Logistics

The increasing growth of automotive industry in Indonesia has not been matched by the number of local suppliers and makes the automotive industry too dependent on imported raw materials. Along with the needs of import activities, it is also required a greater logistics activities. However, with high logistics costs, the manufacturer must increase efficiency to be able to compete in the global market. This can be accomplished by planning inbound logistics activities that control the movement of materials from suppliers to the manufacture. In this research, an optimization methodology, based on Mixed Integer Nonlinear Programming (MINLP) approach is developed and solved with branch and bound algorithm. The result of this research, which obtained the total cost of optimal inbound logistics include material cost, transportation cost, and administration cost. This model can also be used as a tool for the company in making decisions about the type and the number of container also with the total of the optimal material load in each container, therefore the optimal container space utilization value can be obtained.

scholarly journals A Multi-Criteria Decision-Making (MCDM) Approach Using Hybrid SCOR Metrics, AHP, and TOPSIS for Supplier Evaluation and Selection in the Gas and Oil Industry

Processes ◽  
2018 ◽  
Vol 6 (12) ◽  
pp. 252 ◽  
Author(s):  
Chia-Nan Wang ◽  
Ying-Fang Huang ◽  
I-Fang Cheng ◽  
Van Nguyen
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Raw Materials ◽  
Oil Industry ◽  
Supplier Evaluation ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Decision Making Unit ◽  
Stability And Accuracy

Suppliers are extremely important in business operations. The supplier ensures the supply of materials, raw materials, commodities, etc. in sufficient quantity, quality, stability, and accuracy to meet the requirements of production and business with low costs and on-time deliveries. Therefore, selecting and managing good suppliers is a prerequisite for organizing the production of quality products as desired, according to the schedule, and with reasonable prices and competitiveness in the market. It is also important to gain the support of suppliers in order to continue to improve and achieve more as a business. The evaluation and selection of a supplier is a Multi-Criteria Decision-Making (MCDM) issue, in which the decision-maker is faced with both qualitative and quantitative factors. In this research, the authors propose an MCDM model using a hybrid of Supply Chain Operations Reference metrics (SCOR metrics), the Analytic Hierarchy Process (AHP) model, and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach for supplier evaluation and selection in the gas and oil industry. Using literature reviews on SCOR metrics, all criteria that impact supplier selection are defined in the first stage, the AHP model is applied to determine the weight of each factor in the second stage, and the optimal supplier is presented in final stage using the TOPSIS model. As a result, Decision-Making Unit 5 (DMU-05) is found to be the best supplier for the gas and oil industry in this research. The contribution of this work is to propose a new hybrid MCDM model for supplier selection in the gas and oil industry. This research also introduces a useful tool for supplier selection in other industries.

Comparison of ANFIS and FAHP-FGP methods for supplier selection

Kybernetes ◽  
2016 ◽  
Vol 45 (3) ◽  
pp. 474-489 ◽  
Author(s):  
Moloud sadat Asgari ◽  
Abbas Abbasi ◽  
Moslem Alimohamadlou
Keyword(s):  
Performance Measures ◽  
Supplier Selection ◽  
Mean Squared Error ◽  
Selection Process ◽  
Evaluation Criteria ◽  
Absolute Error ◽  
Global Market ◽  
Content Type ◽  
Squared Error ◽  
Fuzzy Delphi

Purpose – In the contemporary global market, supplier selection represents a crucial process for enhancing firms’ competitiveness. This is a multi-criteria decision-making problem that involves consideration of multiple criteria. Therefore this requires reliable methods to select the best suppliers. The purpose of this paper is to examine and propose appropriate method for selecting suppliers. Design/methodology/approach – ANFIS and fuzzy analytic hierarchy process-fuzzy goal programming (FAHP-FGP) are new methods for evaluating and selecting the best suppliers. These methods are used in this study for evaluating suppliers of dairy industries and the results obtained from methods are compared by performance measures such as Mean Squared Error, Root Mean Squared Error, Normalized Root Men Squared Error, Mean Absolute Error, Normalized Root Men Squared Error, Minimum Absolute Error and R2. Findings – The results indicate that the ANFIS method provides better performance compared to the FAHP-FGP method in terms of the selected suppliers scoring higher in all the performance measures. Practical implications – The proposed method could help companies select the best supplier, by avoiding the influence of personal judgment. Originality/value – This study uses the well-structured method of the fuzzy Delphi in order to determine the supplier evaluation criteria as well as the most recent ANFIS and FAHP-FGP methods for supplier selection. In addition, unlike most other studies, it performs the selection process among all available suppliers.

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