Application of Grey-TOPSIS approach to evaluate value chain performance of tea processing chains

The purpose of this paper is developing a method to choose an appropriate Computerized Maintenance Management System (CMMS) using Multiple Criteria Decision Making (MADM) for a dairy company. Among different methods, the grey group TOPSIS and fuzzy group VIKOR methods were selected. TOPSIS is a Technique for order of Preference by Similarity to Ideal Solution and VIKOR technique is a method based on compromise programming. The data in this article were gathered using the interviews with the company's managers and elites in the field of maintenance. Then, out of five types of maintenance software, the best ones were selected using these two techniques and finally the results were compared with each other. In the selection process, 13 sub-criteria were introduced under 5 main criteria. These criteria were selected out of a huge number of criteria using the studies of others and by consulting with the company's managers and experts. We have tried to make the choices in a way that the majority of aspects could be considered. This paper helps the maintenance managers in decision-making related to choosing the CMMS software in uncertainty environment. Using two different fuzzy and grey approaches and comparing the results can lead to appropriate selection and improve the confidence in decision-making. Maintenance planning issues are among the important issues in industrial production systems. Maintenance systems have basically made remarkable progress in recent years. The increase of companies' competitive pressure on the one hand and the close relationship between maintenance activities and companies' core activities, on the other hand, have encouraged companies to use the software in order to manage their maintenance activities.

show abstract

“…In the following steps, we will express the stages of the Grey Group TOPSIS method (Li et al, 2007;Nyaoga et al, 2016;Rastgar & naderi, 2016).…”

Section: Grey Group Topsis Methodsmentioning

confidence: 99%

Suitable computerized maintenance management system selection using grey group TOPSIS and fuzzy group VIKOR: A case study

Zare¹,

Feylizadeh²,

Mahmoudi³

et al. 2018

10.5267/j.dsl

View full text Add to dashboard Cite

show abstract

“…e authors of [7] developed GTOPSIS as an effective technique for measuring and ranking value chain performance and ranking using quantitative criteria and determining the ranking order of different firms' performance. Moreover, researchers have established the GTOPSIS method as valuable for enabling MCDM under vagueness and uncertainty [7]. us, GTOPSIS is well-suited to group decision-making problems in an uncertain environment.…”

Section: Literature Reviewmentioning

confidence: 99%

“…us, GTOPSIS is well-suited to group decision-making problems in an uncertain environment. Researchers stress that this method will be of particular value to managers in resolving decision-making problems in their companies in the future [7].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Consequently, the data retains its grey nature throughout the decision-making process. Examples of methods and techniques to solve the uncertainty of decision-makers include Grey-Linear-Programming (GLP), Grey-Analytical-Hierarchy-Process (GAHP), Grey-e Technique for Order of Preference by Similarity to Ideal Solution (GTOPSIS), and Grey-Best-Worst-Methods (GBWM) [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Comparative Study between GLP and GBWM

Abdulaal

Bafail

2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

When decision-makers’ judgments are uncertain, they often express their opinions using grey linguistic variables. Once used, the data often retains its grey nature throughout all subsequent decision-making iterations. Multicriteria decision-making (MCDM) is a tool used when making complicated decisions and in circumstances where several criteria require evaluation to choose the most desirable option. Grey data serves as the basis for several MCDM methods. This paper compares two MCDM methods, Grey-Linear-Programming (GLP) and Grey-Best-Worst-Method (GBWM), in terms of the weights of decision criteria and their rankings. Moreover, Grey-The Technique for Order of Preference by Similarity to Ideal Solution (GTOPSIS) was used to rank the weights of the two methods. Study findings demonstrated that GBWM requires more mathematical calculations than GLP, based on linear programming's classic simplex method. On the other hand, when GTOPSIS follows GLP, the alternative rank does not change compared to when GTOPSIS followed GBWM. For the applications used in this comparison, GLP procedure is considered simpler than GBWM procedure.

show abstract

“…Therefore, it is better to acquire the optimal process scheme for the optimal surface integrity through using the TOPSIS method improved by GRA. It has been successfully applied to risk assessment and prioritization [24], value chain performance evaluation [25], supplier selection and other fields [26,27]. But it should be noted that the methods, including TOPSIS and GRA, can only provide ideal optimization scheme from the defined schemes.…”

Section: Introductionmentioning

confidence: 99%

Overall evaluation of the surface integrity in two-dimensional ultrasonic surface rolling 7050 Al alloy

Zheng

Zhu

Liu

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

View full text Add to dashboard Cite

To improve the anti-fatigue performance and the service life of parts made of 7050 aluminium alloy, the surface integrity of the workpiece treated by two-dimensional ultrasonic surface rolling (TDUSR) was comprehensively evaluated, and the optimization methods of the process parameters were proposed in this paper. The orthogonal experimental method was used to design an experiment program for TDUSR 7050 aluminium alloy. Based on the experimental results, the entropy weight method was used to make objectively weight for each quantifiable evaluation index. The technique for order preference by similarity to an ideal solution (TOPSIS) improved by the grey relational analysis (GRA) was presented to evaluate the surface integrity. Quadratic regression analysis was applied to establish prediction models for the surface roughness, microhardness, residual stress and the close degree. The optimal process parameters for the surface integrity were obtained using planning solution based on the prediction models. The results show that the static load and the feed rate have significant effects on the surface integrity, and their contributions are 60.52% and 28.05%, respectively. The maximal close degree obtained by planning solution is bigger than that obtained by TOPSIS improved by GRA. The validation test result proves that the overall evaluation method of TOPSIS improved by GRA combined with prediction modelling method by quadratic regression analysis can provide comparatively better process parameters and obtain more desirable process responses.

show abstract

Application of Grey-TOPSIS approach to evaluate value chain performance of tea processing chains

Cited by 30 publications

References 37 publications

Suitable computerized maintenance management system selection using grey group TOPSIS and fuzzy group VIKOR: A case study

Suitable computerized maintenance management system selection using grey group TOPSIS and fuzzy group VIKOR: A case study

A Comparative Study between GLP and GBWM

Overall evaluation of the surface integrity in two-dimensional ultrasonic surface rolling 7050 Al alloy

Contact Info

Product

Resources

About