Study on the Selection and Evaluation of Supply Chain Partners Based on AHP

2012 ◽  
Vol 485 ◽  
pp. 233-238
Author(s):  
Yan Chen
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
21St Century ◽  
Economic Globalization ◽  
Management Theory ◽  
Chain Management ◽  
Good Medicine ◽  
Selection Of

In the 21st century, with the accelerated development of economic globalization, business competition will inevitably tend to more international and fierce. How to improve its own competitiveness is now becoming a key issue each enterprise has to think about. The emergence of supply chain management theory undoubtedly has become a good medicine. Since the selection of supply chain partners is an essential stage in the decision-making of supply chain management, how to select appropriate supply chain partners has been increasingly important to business.

scholarly journals COMPARISON OF THREE FUZZY MCDM METHODS FOR SOLVING THE SUPPLIER SELECTION PROBLEM

2019 ◽  
Vol 17 (3) ◽  
pp. 455 ◽  
Author(s):  
Goran Petrović ◽  
Jelena Mihajlović ◽  
Žarko Ćojbašić ◽  
Miloš Madić ◽  
Dragan Marinković
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Selection Problem ◽  
Management Decision ◽  
Chain Management ◽  
Wide Range ◽  
Supplier Selection Problem ◽  
Selection Of

The evaluation and selection of an optimal, efficient and reliable supplier is becoming more and more important for companies in today’s logistics and supply chain management. Decision-making in the supplier selection domain, as an essential component of the supply chain management, is a complex process since a wide range of diverse criteria, stakeholders and possible solutions are embedded into this process. This paper shows a fuzzy approach in multi – criteria decision-making (MCDM) process. Criteria weights have been determined by fuzzy SWARA (Step-wise Weight Assessment Ratio Analysis) method. Chosen methods, fuzzy TOPSIS (Technique for the Order Preference by Similarity to Ideal Solution), fuzzy WASPAS (Weighted Aggregated Sum Product Assessment) and fuzzy ARAS (Additive Ratio Assessment) have been used for evaluation and selection of suppliers in the case of procurement of THK Linear motion guide components by the group of specialists in the “Lagerton” company in Serbia. Finally, results obtained using different MCDM approaches were compared in order to help managers to identify appropriate method for supplier selection problem solving.

scholarly journals A STUDY OF MULTI CRITERIA DECISION MAKING FOR SELECTING SUPPLIERS OF LINEAR MOTION GUIDE

2018 ◽  
pp. 97
Author(s):  
Goran S. Petrović ◽  
Vesna Sekulić ◽  
Miloš Madić ◽  
Jelena Mihajlović
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Management Decision ◽  
Multi Criteria Decision Making ◽  
Linear Motion ◽  
Chain Management ◽  
Wide Range ◽  
Linear Motion Guide ◽  
Selection Of

Supplier evaluation and selection is becoming more and more important for companies in today’s logistics and supply chain management. Decision making in supplier selection domain, as an essential component of supply chain management, is a complex process due to the fact that a wide range of diverse criteria, stakeholders and possible solutions are embedded into this process. This paper focuses on the application of some single and hybrid multi criteria decision making approaches for the selection of suppliers of transportation and logistics equipment. The analytic hierarchy process (AHP), stepwise weight assessment ratio analysis (SWARA) and technique for the order preference by similarity to ideal solution (TOPSIS) have been implemented in the "Lagerton" company in Serbia for evaluation and selection of the supplier in the case of procurement of THK Linear motion guide components. The best ranked supplier has been suggested to the company and the sensitivity analysis of ranking orders according to the criteria weights variations has been done.

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

scholarly journals Reengineering of supply chain management integrated scheduling processes

2018 ◽  
Vol 193 ◽  
pp. 05064 ◽  
Author(s):  
Ekaterina Kuleshova ◽  
Anastasia Levina ◽  
Rustam Esedulaev
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Business Process ◽  
Business Processes ◽  
Current Practice ◽  
Oil And Gas ◽  
Chain Management ◽  
Integrated Scheduling ◽  
Data Flows

The paper describes the principle of the reengineering of supply chain management integrated scheduling processes in order to increase in efficiency of business process and decrease the decision-making time at collision of plan-fact deviations. The basic concept of business-processes reengineering is analyzed. The experience of reengineering of supply chain integrated scheduling business processes for the oil and gas branch is presented. The bottlenecks of the current practice were revealed. The purpose of this paper is to carry out recommendations for improving business processes based on an analysis of the current realization of the process, his provision with information systems and data flows.

Quantitative Models in Supply Chain Management

2011 ◽  
pp. 285-312
Author(s):  
Esmaeel Moradi ◽  
Mohammad Reza Ghezel Arsalan ◽  
Ali Naimi Sadigh ◽  
Hamed Fallah Roshan Ghalb
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Simulation Models ◽  
Chain Management ◽  
Quantitative Models

Moreover, a wide review given by Terzi and Cavalieri (2004) on more than 80 papers about simulation in the supply chain context is used in this chapter. The main goal of this review is to determine which objectives simulation is used to solve the problems, which simulation models are more appropriate and useful for supporting the decision making in the supply chain.

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