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

Abstract Businesses establish supply chains in order to continue their activities. Choosing the suppliers to take part in these supply chains poses many challenges in rapidly changing conditions. Environmental concerns in the public, competitive market structures, and developing technological opportunities affect the decision-making processes. Different criteria are taken into consideration instead of traditional criteria such as cost and service. In this study, green, agile, and Industry 4.0 dimensions and the criteria under these dimensions are defined. According to these, the problem of selecting the supplier that responds to the expectations of the markets and enables them to increase their competitiveness was discussed. Fuzzy SWARA and fuzzy BMW methods were applied in an integrated way to solve the supplier selection problem under these three dimensions. A real case study was also presented. In the study, the results obtained by creating different scenarios were compared and sensitivity analysis was made. The results obtained show that the hybrid method developed in this study is effective in supplier selection problems. As a result of the study, the most important evaluation dimension is "agile" and the most important criterion is "delivery speed".

Download Full-text

Mathematical Analysis of Supply Chain Optimization focusing on Artificial Neural Network: A case study in Apparel Manufacturing Organization

10.21203/rs.3.rs-1173130/v1 ◽

2022 ◽

Author(s):

Shibbir Ahmad ◽

Mohammad Kamruzzaman

Keyword(s):

Supply Chain ◽

Supplier Selection ◽

Selection Criteria ◽

Manufacturing Industry ◽

Supply Chain Optimization ◽

Apparel Manufacturing ◽

Manufacturing Organizations ◽

Manufacturing Organization ◽

The Right

Abstract In this study, implemented artificial nueral network (Ann) in apparel manufacturing organizations to optimize the supply chain converging on right supplier selection by analyzing their performance criteria.Moreover, data collected from three diffrents factory to analyze the efficiney and profit -loss status of that units. Furthermore, analyze the supplier selection criteria of three suppliers in order to select the right supplier at the real time in apparel manufacturing industry . This study shows that it can be saved 20 % of the total cost.

Download Full-text

Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator

Brazilian Journal of Operations & Production Management ◽

10.14488/bjopm.2017.v14.n3.a15 ◽

2017 ◽

Vol 14 (3) ◽

pp. 428 ◽

Cited By ~ 4

Author(s):

Rodrigo Barbosa de Santis ◽

Leonardo Golliat ◽

Eduardo Pestana de Aguiar

Keyword(s):

Supply Chain ◽

Analytic Hierarchy Process ◽

Operations Management ◽

Supplier Selection ◽

Standard Procedure ◽

Fuzzy Analytic Hierarchy Process ◽

Analytic Hierarchy ◽

And Performance ◽

Hierarchy Process

The supplier selection problem has been discussed in literature within the supply chain management subject and it is extremely important due to its impact on the entire supply chain configuration, strategy and performance. This work presents a decision model based on the fuzzy analytic hierarchy process method and its application in a real case of maintenance supplier selection in a large Brazilian railway operator. Eight criteria were adopted - technical capacity, financial status, relationship, operations management, security management, infrastructure, historic performance and costs - for evaluating five potential suppliers. In the case study, both first and second ranked suppliers by the method have been selected by the company for providing the services and the model was adopted as a standard procedure within the organization for contracts over US$ 300,000.

Download Full-text