scholarly journals Novel Distance Measure in Fuzzy TOPSIS for Supply Chain Strategy Based Supplier Selection

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
B. Pardha Saradhi ◽  
N. Ravi Shankar ◽  
Ch. Suryanarayana

In today’s highly competitive environment, organizations need to evaluate and select suppliers based on their manufacturing strategy. Identification of supply chain strategy of the organization, determination of decision criteria, and methods of supplier selection are appearing to be the most important components in research area in the field of supply chain management. In this paper, evaluation of suppliers is done based on the balanced scorecard framework using new distance measure in fuzzy TOPSIS by considering the supply chain strategy of the manufacturing organization. To take care of vagueness in decision making, trapezoidal fuzzy number is assumed for pairwise comparisons to determine relative weights of perspectives and criteria of supplier selection. Also, linguistic variables specified in terms of trapezoidal fuzzy number are considered for the payoff values of criteria of the suppliers. These fuzzy numbers satisfied the Jensen based inequality. A detailed application of the proposed methodology is illustrated.

2020 ◽  
Vol 34 (3) ◽  
Author(s):  
Titik - Kusmantini ◽  
Wisnu Untoro

Introduction: The purpose of the study is to describe the characteristics of the development pattern of the SME (Small and Medium Enterprises) capabilities in managing integrated supply chain capabilities. Specifically, the purpose of the study is to test empirically whether inter-group of supply chain strategy can be found the differences in the characteristics (1) the contexts of organization, they are competitiveness  and product type; (2) the featured competitive priorities in the manufacturing field and (3) the performance achievement. Researh Method: The hypothesis testing process of the study uses the sample of 102 SMEs in the Province of Yogyakarta, Indonesia. The testing technique used in this study is the technique of cluster analysis and ANOVA. Findings: The testing result of cluster analysis identifies 3 taxa of supply chain strategy group, each strategic profiling of the supply chain describes that only cluster 2, that is the type of Le-Agile has the consistency of decision, while the type of Agile and Lean does not have the consistency. The result of ANOVA test is used to test 3 hypotheses and all hypotheses are supported, while the hypothesis of supply chain strategy group differences based on the type of product is not proven. Research Limitations: The use of single source will lead to a single respondent bias and give rise to an interrater  reliability for the perceptual data. Especially when measuring the performance variables in this study which uses self-report, thus the use of a single respondent will lead to bias. Novelty: This study aims to test the concept of fit in particular the alignment conception of strategy between functions, they are supply chain and manufacturing strategy by using a selection approach. The taxonomy result will produce a strategic profiling which is able to describe the extent to which the strategic decision congruency and consistency between functions in the scope of SMEs in particular.


2020 ◽  
Vol 12 (2) ◽  
pp. 85-108
Author(s):  
Muhammad Faisal Sultan ◽  
Masood Hassan ◽  
Farhan Zeb Khaskhelly

Supplier selection is one of the most important elements of the procurement process which has the ability to influence the performance of the entire supply chain management. Thus, it is considered as one of the major factors in the supply chain strategy in multinational organizations. Contrarily, least attention is given to the subject by the companies originated in Pakistan. Lack of research in this domain is also impairing this issue. Regardless of the importance of the supplier selection subject, the state-owned companies in Pakistan, are specifically, paying least concern towards it. Thus, the purpose of this study is to identify the importance of different factors of supplier selection, by the state-owned enterprises working under the city government of Karachi. In order to simplify the model, researchers predominantly focused on the generic criteria for supplier selection and further included some other variables like HSSE/ ISO policies and flexible contract terms to the research model. Moreover, moderation has also been used in order to replicate the model effectively with the scenario of Karachi. After adoption of the generic model of supplier selection, Hayes model has been used for the analysis of data. The study findings reveal that the organization working under the City Government of Karachi have different criteria and preferences for supplier selection. Hence the research is pervasive in nature and can be adopted by policy makers and technocrats in order to improve the supplier selection process of state-owned enterprises.


2014 ◽  
Vol 525 ◽  
pp. 787-790 ◽  
Author(s):  
Da Wei Zhang ◽  
Abu Bakar Abdul Hamid ◽  
Ai Chin Thoo

Supplier selection is a wide research area which has been explored conceptually and empirically. The criteria and decision-making methods of supplier selection have been investigated by a series of surveys dating back to the 1960s, and both of these issues are the focus of this study. Sustainable supply chain management is a forward-thinking idea which considers the environmental effects and the efficiency of resource utilization in the whole supply chain. Thus, this part will review the supplier selection literature with special focus on the background of sustainable supply chain. And then based on the literature review, the research gaps will be conducted for more in depth research in this study.


2017 ◽  
Vol 4 (2) ◽  
pp. 135-147 ◽  
Author(s):  
Ghasem Farajpour Khanaposhtani ◽  
Seyyed Shahrokh Jafari ◽  
Farhad Ariana ◽  
Amir Alaie ◽  
Hamed Salimi

2018 ◽  
Vol 12 (4) ◽  
pp. 387-398 ◽  
Author(s):  
Xiyue Tang ◽  
Guiwu Wei

Green supply chain management is a strategy which strengthens and integrates environmental consideration into whole supply chain. The green strategic supplier plays an important role in the implementation of green supply chain strategy. In the selection methodology of a strategic green supplier, some special requirements are needed which are different from the traditional supplier selection practices. In this paper, we combine the generalized weighted BM operator with Pythagorean 2-tuple linguistic numbers to propose the generalized Pythagorean 2-tuple linguistic-weighted Bonferroni mean operator, and then the multiple attribute decision-making methods are developed based on this operator. Finally, we use an example for green supplier selection to illustrate the multiple attribute decision-making process of the proposed methods.


2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Jiawu Gan ◽  
Shuqi Zhong ◽  
Sen Liu ◽  
Dan Yang

Resilient suppliers can reduce supply chain risk, effectively avoid supply chain disruption, and bring profits to enterprises. However, there is no united measuring index system to evaluate the resilient supplier under supply chain environment, and the assessment language sets are usually crisp values. Therefore, in order to fill the research gap, this paper proposes a hybrid method, which combines triangular fuzzy number, the best-worst method (BWM), and the modular TOPSIS in random environments for group decision-making (GMo-RTOPSIS) to solve the above problem. Firstly, the weight of decision-maker is calculated by using fuzzy BWM which can deal with triangular fuzzy numbers. Secondly, triangular fuzzy number is introduced into GMo-RTOPSIS, and combined with fuzzy BWM, alternatives are sorted to select the best resilient supply chain partner. Finally, the feasibility and universality of this method are proved by illustrative examples.


2014 ◽  
Vol 21 (6) ◽  
pp. 903-916 ◽  
Author(s):  
Fariborz Rahimnia ◽  
Samira Keyvanipoor ◽  
Mahdi Moghadasian

Purpose – Selecting the right supply chain (SC) strategy which is aligned with environmental uncertainty will definitely improve SC performance. Lee (2002) proposed a framework to consider the impact of alignment between SC strategy and environmental uncertainty and its impact on SC performance. The purpose of this paper is to apply this framework in Iran and extend it using balanced scorecard (BSC) approach. Design/methodology/approach – A research survey was completed to consider the aim of this research. A total of 124 questionnaires were returned. Findings – The alignment between SC strategy and environmental uncertainty and its positive impact on SC performance has been proven (except for risk-hedging strategy). Efficient strategy enhances all the four BSC perspectives, while agile strategy only improves learning and growth perspective. Originality/value – This research extends the work of Lee (2002) and Sun et al. (2009) by emphasizing the impact of SC strategy on each of the four perspectives of BSC.


2016 ◽  
Vol 23 (7) ◽  
pp. 2027-2060 ◽  
Author(s):  
Chhabi Ram Matawale ◽  
Saurav Datta ◽  
S.S. Mahapatra

Purpose The recent global market trend is seemed enforcing existing manufacturing organizations (as well as service sectors) to improve existing supply chain systems or to take up/adapt advanced manufacturing strategies for being competitive. The concept of the agile supply chain (ASC) has become increasingly important as a means of achieving a competitive edge in highly turbulent business environments. An ASC is a dynamic alliance of member enterprises, the formation of which is likely to introduce velocity, responsiveness, and flexibility into the manufacturing system. In ASC management, supplier/partner selection is a key strategic concern. Apart from traditional supplier/partner selection criteria; different agility-related criteria/attributes need to be taken under consideration while selecting an appropriate supplier in an ASC. The paper aims to discuss these issues. Design/methodology/approach Therefore, evaluation and selection of potential supplier in an ASC have become an important multi-criteria decision making problem. Most of the evaluation criteria being subjective in nature; traditional decision-making approaches (mostly dealing with objective data) fail to solve this problem. However, fuzzy set theory appears an important mean to tackle with vague and imprecise data given by the experts. In this work, application potential of the fuzzy multi-level multi-criteria decision making (FMLMCDM) approach proposed by Chu and Velásquez (2009) and Chu and Varma (2012) has been examined and compared to that of Fuzzy-techniques for order preference by similarity to ideal solution (TOPSIS) and Fuzzy-MOORA in the context of supplier selection in ASC. Findings It has been observed that similar ranking order appears in FMLMCDM as well as Fuzzy-TOPSIS. In Fuzzy-MOORA, the best alternative appears same as in case of FMLMCDM as well as Fuzzy-TOPSIS; but for other alternatives ranking order differs. A comparative analysis has also been made in view of working principles of FMLMCDM, Fuzzy-TOPSIS as well as Fuzzy-MOORA. Originality/value Application feasibility of FMLMCDM approach has been verified in comparison with Fuzzy-TOPSIS and Fuzzy-MOORA in the context of agile supplier selection.


2020 ◽  
pp. 283-299

The strategic management of the supply chain includes the formulation and implementation of a supply chain strategy as well as the assessment of the results. Undoubtedly, the formulation of a supply chain strategy is part of each of the three levels of strategic planning: corporate, business unit, and functional. For successful strategic management of the supply chain, an integrated approach is needed to link the supply chain strategy with the overall strategic management of the company. It is the Balanced Scorecard which seems to be a suitable and effective tool for this purpose. The Balanced Scorecard focuses on formulating a supply chain strategy, linking it to the corporate vision and turning it into particular actions to achieve the strategic objectives. In this article, a methodology for strategic supply chain management is proposed based on the Balanced Scorecard as an instrument for supply chain strategy formulation and implementation. The methodology consists of twelve steps, each of which is commented in more detail. The article aims at filling the gap identified in the literature devoted to strategic aspects of supply chain management.


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