A theoretical framework of risk compensation in supply chain management decision making

2006 ◽  
Author(s):  
David M. Neyens ◽  
Linda Ng Boyle
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Theoretical Framework ◽  
Risk Compensation ◽  
Management Decision ◽  
Chain Management ◽  
Management Decision Making

scholarly journals TRANSFORMATION OF SUPPLY CHAIN MANAGEMENT IN THE CONDITIONS OF THE FOURTH INDUSTRIAL REVOLUTION

2018 ◽  
pp. 30-37
Author(s):  
P. V. Trifonov ◽  
R. V. Seryshev
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Industrial Revolution ◽  
New Technologies ◽  
Data Access ◽  
Management Systems ◽  
Management Decision ◽  
Chain Management ◽  
Management Decision Making ◽  
Monitoring Technologies

Purpose of research is to identify the most important technologies of the digital economy that affect the development of supply chain management systems. The development of modern organizations of the latest technologies will improve the level of competitiveness and bring business to the path of sustainable growth.The structure of the latest technologies of supply chain management systems is described on the principles of the system approach, and their role and degree of impact on the development of the object under study is indicated. The direction of development of supply chain management systems is indicated.Ìobile data access for consumers, predictive analysis, sensory monitoring technologies, and partially localization technologies are the most critical technologies that provide the threshold of competitiveness growth for modern organizations engaged in logistics.The structure and interrelation of technologies, as well as understanding of the degree of technology impact on the development of supply chain management systems will allow to build further research based on an understanding of the already formed hierarchy of objects under study. The results of this review will be able to influence the management decision-making in the field of selecting new technologies to improve the organization's own logistics systems.

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.

scholarly journals Social network analysis and supply chain management

2016 ◽  
Vol 4 (1) ◽  
pp. 35 ◽  
Author(s):  
Raúl Rodríguez Rodríguez ◽  
Ramona D. Leon
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Social Network ◽  
Supply Chain Management ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Flows ◽  
Point Of View ◽  
Management Decision ◽  
Chain Management

<p>This paper deals with social network analysis and how it could be integrated within supply chain management from a decision-making point of view. Even though the benefits of using social analysis have are widely accepted at both academic and industry/services context, there is still a lack of solid frameworks that allow decision-makers to connect the usage and obtained results of social network analysis – mainly both information and knowledge flows and derived results- with supply chain management objectives and goals. This paper gives an overview of social network analysis, the main social network analysis metrics, supply chain performance and, finally, it identifies how future frameworks could close the gap and link the results of social network analysis with the supply chain management decision-making processes. </p>

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.

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