Applying the Linguistic Strategy-Oriented Aggregation Approach to Determine the Supplier Performance with Ordinal and Cardinal Data Forms

2011 ◽  
Vol 1 (2) ◽  
pp. 1-16
Author(s):  
Shih-Yuan Wang ◽  
Sheng-Lin Chang ◽  
Reay-Chen Wang
Keyword(s):  
Supply Chain ◽  
Performance Assessment ◽  
Business Strategy ◽  
Decision Makers ◽  
Weighted Averaging ◽  
Supplier Performance ◽  
Global Logistics ◽  
Linguistic Strategy ◽  
Complete Framework ◽  
Oriented Aggregation

Supply chain management is a new and evolving paradigm for enterprises to cope with international competition and to improve global logistics efficiency. The suppliers’ performances affect not only supply chain execution results but also the profit capability and business survivability. However, suppliers’ performance assessment always involves a large dimension of supplier behaviors. Information on supplier behaviors is often difficult to be accurately demonstrated as quantitative data. For this reason, the study employs a 2-tuple linguistic variable to perform the initial evaluation and final assessment while keeping track of both linguistic information and data, which can avoid a tied result. Additionally, the modified linguistic ordered weighted averaging (M-LOWA) operator with maximum entropy is used to derive the maximum aggregation value under the current business strategy to reflect on the criteria. The focal company can then rapidly rely on the assessment results to represent the performance of suppliers and provide integrated information to decision makers. This study draws the complete framework for the issue of supplier performance assessment without limitations on categories of variables and scales.

Applying the Linguistic Strategy-Oriented Aggregation Approach to Determine the Supplier Performance with Ordinal and Cardinal Data Forms

2013 ◽  
pp. 256-271
Author(s):  
Shih-Yuan Wang ◽  
Sheng-Lin Chang ◽  
Reay-Chen Wang
Keyword(s):  
Supply Chain ◽  
Performance Assessment ◽  
Business Strategy ◽  
Quantitative Data ◽  
Weighted Averaging ◽  
Supplier Performance ◽  
Global Logistics ◽  
Linguistic Strategy ◽  
Complete Framework ◽  
Oriented Aggregation

Supply chain management is a new and evolving paradigm for enterprises to cope with international competition and to improve global logistics efficiency. The suppliers’ performances affect not only supply chain execution results but also the profit capability and business survivability. However, suppliers’ performance assessment always involves a large dimension of supplier behaviors. Information on supplier behaviors is often difficult to be accurately demonstrated as quantitative data. For this reason, the study employs a 2-tuple linguistic variable to perform the initial evaluation and final assessment while keeping track of both linguistic information and data, which can avoid a tied result. Additionally, the modified linguistic ordered weighted averaging (M-LOWA) operator with maximum entropy is used to derive the maximum aggregation value under the current business strategy to reflect on the criteria. The focal company can then rapidly rely on the assessment results to represent the performance of suppliers and provide integrated information to decision makers. This study draws the complete framework for the issue of supplier performance assessment without limitations on categories of variables and scales.

scholarly journals Integrated ANP and TOPSIS Method for Supplier Performance Assessment

2020 ◽  
Vol 21 (1) ◽  
pp. 34
Author(s):  
Christine Natalia ◽  
Ita Primsa Surbakti ◽  
Chendrasari Wahyu Oktavia
Keyword(s):  
Supply Chain ◽  
Performance Assessment ◽  
Significant Influence ◽  
Production Capacity ◽  
Topsis Method ◽  
Supplier Performance ◽  
Main Factors

A supplier has become one of the main factors that influence the success of a company's supply chain activities. Supplier assessment is vital as suppliers have different performance. This study aims at assessing supplier performance using the integration of ANP and TOPSIS methods. Supplier performance assessment was based on supplier criteria indicators. Weighting criteria used ANP used to determine the most significant influence criteria of supplier performance.Furthermore,  TOPSIS was also employed to obtain supplier preference. Eight criteria and twenty-five sub-criteria were used for the supplier performance assessment.  The three highest sub-criteria were specification of quality, the flexibility of order changes, and production capacity. The priority results for suppliers were sorted from the highest to lowest ratio values. 

scholarly journals Recognizing the Key Drivers and Industry Implications of Sustainable Packaging Design: A Mixed-Method Approach

2021 ◽  
Vol 13 (9) ◽  
pp. 5299
Author(s):  
Giovanni Mattia ◽  
Alessio Di Leo ◽  
Carlo Alberto Pratesi
Keyword(s):  
Supply Chain ◽  
Mixed Method ◽  
Business Strategy ◽  
Packaging Design ◽  
Mixed Method Approach ◽  
Technological Advances ◽  
Italian Market ◽  
Sustainable Packaging ◽  
Strategic Role ◽  
Method Approach

Sustainable packaging design plays a strategic role across several industries. Using the Italian market as the perimeter of the analysis, this paper aims to broaden the knowledge of corporate attitudes, perceptions, and behaviors toward sustainable packaging along the entire supply chain. A mixed-method approach was used, integrating qualitative and quantitative data collected from 33 in-depth interviews and a survey on a sample of 462 companies. The results revealed that a challenging goal will consist of reconciling technological advances and marketing instances, and that the entire supply chain should be synergistically involved in packaging sustainability. It was also found that larger companies consider sustainability as part of a broader business strategy, whereas smaller ones possess a tactical vision. The study provides valuable insights to better comprehend and manage a complex ecosystem such as that of sustainable packaging.

scholarly journals Optimizing a Reverse Supply Chain Network for Electronic Waste under Risk and Uncertain Factors

2021 ◽  
Vol 11 (4) ◽  
pp. 1946
Author(s):  
Linh Thi Truc Doan ◽  
Yousef Amer ◽  
Sang-Heon Lee ◽  
Phan Nguyen Ky Phuc ◽  
Tham Thi Tran
Keyword(s):  
Supply Chain ◽  
Electronic Waste ◽  
Decision Makers ◽  
Reverse Supply Chain ◽  
Satisfactory Solution ◽  
Level Of Satisfaction ◽  
Proposed Model ◽  
Objective Value ◽  
The Right ◽  
The Impact

Minimizing the impact of electronic waste (e-waste) on the environment through designing an effective reverse supply chain (RSC) is attracting the attention of both industry and academia. To obtain this goal, this study strives to develop an e-waste RSC model where the input parameters are fuzzy and risk factors are considered. The problem is then solved through crisp transformation and decision-makers are given the right to choose solutions based on their satisfaction. The result shows that the proposed model provides a practical and satisfactory solution to compromise between the level of satisfaction of constraints and the objective value. This solution includes strategic and operational decisions such as the optimal locations of facilities (i.e., disassembly, repairing, recycling facilities) and the flow quantities in the RSC.

An approach for supplier selection problem based on picture cubic fuzzy aggregation operators

2021 ◽  
Vol 40 (5) ◽  
pp. 10145-10162
Author(s):  
Ahmad Bakr Khoshaim ◽  
Muhammad Qiyas ◽  
Saleem Abdullah ◽  
Muhammad Naeem ◽  
Muneeza
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Aggregation Operators ◽  
Weighted Averaging ◽  
Numerical Application ◽  
Chain Management ◽  
Fuzzy Environment ◽  
Picture Fuzzy Set ◽  
Fuzzy Aggregation ◽  
Fuzzy Order

This article is an advanced approach to picture fuzzy set through the application of cubic set theory. For instance, we establish the idea of the picture cubic fuzzy sets (PCFSs) theory and define several operations for PCFS. Also, presented some weighted aggregation operators under picture cubic fuzzy information, so called picture cubic fuzzy weighted averaging (PCFWA) operator, picture cubic fuzzy order weighted averaging (PCFOWA) operator, picture cubic fuzzy weighted geometric (PCFWG) operator, and picture cubic fuzzy order weighted geometric (PCFOWG) operator. Further, we study their fundamental properties and showed the relationship among these aggregation operators. In order to determine the feasibility and practicality of the mentioned new technique, we developed multi-attribute group decision -making algorithm with picture cubic fuzzy environment. Further, the developed method applied to supply chain management and for implementation, consider numerical application of supply chain management. Compared the developed approach with other preexisting aggregation operators, and we concluded that the defined technique is better, reliable and effective.

Supply chain practices and organizational performance

2017 ◽  
Vol 28 (1) ◽  
pp. 75-101 ◽  
Author(s):  
Shrikant Gorane ◽  
Ravi Kant
Keyword(s):  
Supply Chain ◽  
Customer Satisfaction ◽  
Financial Performance ◽  
Organizational Performance ◽  
Customer Value ◽  
Structural Equation ◽  
Decision Makers ◽  
Current Status ◽  
Content Type ◽  
Manufacturing Organizations

Purpose The purpose of this paper is to empirically test a framework which identifies the relationships between various supply chain practices (SCPs) and organizational performance (operational performance (OP), customer satisfaction, and financial performance) in the context of Indian manufacturing organizations. Design/methodology/approach From the literature, ten SCPs are selected which finally influences the organizational performance. In order to understand the interactions between SCPs and organizational performance, this paper grouped the ten SCPs into four constructs namely: information and communication technology, supply chain (SC) integration, operational responsiveness, and closed loop green practices. Three levels of firm performance are also examined, including OP, customer satisfaction, and financial performance. The paper-based and web-based survey yielded 292 responses from the Indian manufacturing organizations. The data collected were put through rigorous statistical analysis to test for the content, construct, and criterion-related validity, as well as reliability analyses. Further a structural equation model was developed to test the relationships between SCPs and organizational performance. Findings The finding suggests that a successful SCPs implementation not only improves the OP, but also enhances customer satisfaction and financial performance. In addition, higher financial performance is also attributable to better customer value resulting from the achievement of better customer satisfaction. Research limitations/implications SCPs are complex constructs. While this study shows the effect of broadly accepted SCPs on organizational performance, not all possible practices are covered in this study. Again the study can be further extended to sector specific so that the results can be further refined. Practical implications This is one of the few studies which attempts to investigate whether there is any relationship exits between SCPs and organizational performance. The finding will help decision makers in the organization to know the importance of SCPs and how SCPs influence the organizational performance. Second, this study has developed and validated a multi-dimensional construct of SCPs, which can assist decision makers of Indian organizations to evaluate the competence of their current status of SCPs in the organization. Originality/value As per the knowledge of the authors, this is the first kind of study which empirically investigated the relationships between SCPs and organizational performance in the context of Indian manufacturing organizations.

scholarly journals Interval Forecasting in Supply Chain with Small Sample

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Lifeng Wu ◽  
Yan Chen
Keyword(s):  
Supply Chain ◽  
Small Sample ◽  
Decision Makers ◽  
Small Samples ◽  
Forecasting Model ◽  
Future Trends ◽  
Human Judgment ◽  
Proposed Model ◽  
Grey Models ◽  
Short Time

To deal with the forecasting with small samples in the supply chain, three grey models with fractional order accumulation are presented. Human judgment of future trends is incorporated into the order number of accumulation. The output of the proposed model will provide decision-makers in the supply chain with more forecasting information for short time periods. The results of practical real examples demonstrate that the model provides remarkable prediction performances compared with the traditional forecasting model.

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