An optimal grey based approach based on TOPSIS concepts for supplier selection problem

Jadidi, Omid; Hong, Tang Sai; Firouzi, Fatemeh; Yusuff, Rosnah Mohd

doi:10.1080/17509653.2009.10671066

Cited by 26 publications

(14 citation statements)

References 23 publications

(50 reference statements)

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“…This technique was later developed by many researchers (Jahanshahloo et al , 2006) who presented steps and procedures for doing the TOPSIS analysis for multi-criteria decision-making. In the case of the qualitative attribute, we convert it to quantitative terms using a linguistic variable rating point scaling system, which varies from one to nine (Jadidi et al , 2008a, b).…”

Section: Literature Reviewmentioning

confidence: 99%

Identifying the root causes for inventory accumulation and prioritizing them using an MCDM-based TOPSIS approach

Negi

Kharde

2021

MSCRA

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PurposeInventory accumulation is a major problem for any organization, as it not only occupies the valuable storage space, but it also blocks the company's capital, leaving the owners with less cash to run the company's business. Aggregation of inventory in any organization contributes to inventory carrying cost; it affects labor productivity, increases equipment expenses and creates a loss of opportunity associated with it. Therefore, it is essential for any organization to come up with a solution to deal with the stockpile of inventory.Design/methodology/approachThis research aims to examine the potential causes of inventory aggregation in an organization. First, the potential factors for the build-up of inventory are identified from survey data collection, such as questionnaire approach and discussion with industry experts, and then weights are assigned to attributes to study the effects for these factors. After the identification of probable causes, they are analyzed through a multi-criterion decision-making (MCDM) approach and the technique for order of preference by similarity to ideal solution (TOPSIS) to prioritize the severity of these causes toward the accumulation of inventory and take corrective actions to prevent their disruptive effect on the business.FindingsThe top three causes identified from the TOPSIS analysis are sales and forecasting error, defects and quality related issues and communication gap between departments. Firstly, we focus on these major contributors and prioritize them using the TOPSIS analysis. Then, we proceed further toward other factors. The main reasons identified for the accumulation of inventory are (1) forecasting error, (2) bulk purchase, (3) data entry error, (4) communication gaps, (5) quality-related issues, (6) product category not traceable and (7) wrong material being procured.Research limitations/implicationsTo carry out the data analysis in this research paper, first survey data collection is done. Then, discussions with managers and executives in the particular domain are carried out, and weights are assigned to the attributes and the criteria to study the effects of the identified factors. After that root cause analysis (RCA) is performed to get to the genesis of the problem and to take necessary corrective action, for carrying out this study, a total of seven potential causes were identified and the contribution of these seven causes on five attributes or criteria, i.e. quantity (in tons), holding and carrying cost, effect on labor productivity, loss of opportunity cost and storage space were studied.Originality/valueThis research paper is the author’s original work, and all the analyses carried out are from the discussion with experts in the field and through the in-depth analysis carried out. This research aims to examine the potential causes of the accumulation of inventory in organizations and their contribution toward factors like inventory carrying cost, labor productivity, and opportunity loss and excessive storage space have been analyzed. This research provides great value to the readers in the respective domain.

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Section: Literature Reviewmentioning

confidence: 99%

Identifying the root causes for inventory accumulation and prioritizing them using an MCDM-based TOPSIS approach

Negi

Kharde

2021

MSCRA

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“…Through grey multi-attribute decision analysis, this study intends to understand which areas of Tainan may become dengue-prone areas in the future, discusses the factors that may affect a dengue fever epidemic in the future, provides a sustainable remediation method based on the influencing factors, and offers relevant suggestions for county and city government departments. Previous scholars have widely applied the TOPSIS method and grey theory in engineering, economics, management, agriculture, and other fields [36][37].…”

Section: Grey Multi-attribute Decision-making Analysismentioning

confidence: 99%

“…According to previous research, in addition to the TOPSIS method, the grey theory can be combined with multiple weighting methods, such as theAHP, weighted sum method (SAW), etc. It is suggested that future research can use the grey theory and multiple weighting methods to compare the results of various weighting methods, and further explore which weighting methods are more suitable for the analysis of dengue fever[8,36].…”

mentioning

confidence: 99%

Analysis of the Practice of Dengue Prevention and Sustainable Control with Multi-attribute Decision-making

Wang¹,

Li²,

Lien³

et al. 2020

Preprint

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Dengue fever is one of the most common insect-borne diseases in the world, and epidemics mostly occur in tropical and subtropical regions. In the past, the grey multi-attribute decision-making method has been combined with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to predict which areas in southern Tainan may easily trigger dengue epidemics. As many studies have shown that the extent of human communication and active government is crucial in dengue prevention, this study aims to propose dengue prevention and control methods before and after the occurrence of dengue cases. This study found that, when dengue fever cases begin to appear, the relevant county and city government departments must hire vector control companies to carry out regional indoor and outdoor spraying. Before the emergence of dengue cases, the green and sustainable-oriented remediation strategies, as promoted by the Environmental Protection Administration (EPA), can be adopted. Remediation of soil and groundwater pollution sites can reduce the source of vector mosquitoes, in order that the green environment can achieve sustainable development.

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“…Methodology Application [64] GRA Chemical Engineering (steel corrosion) [70] GRA Electrical Engineering (hydroelectric production scheduling) [71] Grey theory & MOP Designing overhead network [72] Grey theory Image Density [73] GRA A Comparative Study of MADM problems [74] GRA Sales assessment [75] Grey Decision Making Dynamic systems with multiple responses [76] GRA & TOPSIS Choosing the country for citizenship [77] GRA & interval number MADM problem with interval numbers [78] Grey System Theory The fundamental problem [79] GRA Optimization problem (boiler) [80] Grey & Fuzzy Set Simulation (MADM model) [5] GRA & AHP Supplier selection [81] GRA Product lifetime [11] Grey Possibility Degree Supplier selection [82] GRA & Rough Set Supplier selection [83] GRA MADM practical problem [84] Grey & TOPSIS Supplier selection [85] GRA & AHP Supplier selection [86] Grey & Rough Set Sustainability in supplier selection [87] Grey Theory Evaluation of supplier sustainability [12] GRA & Fuzzy Set Supplier selection [88] GRA & IFS (Intuitionistic fuzzy set) Green supplier selection [53] GRA & Fuzzy Set Green supply chain [89] GRA & Fuzzy Set Developing Dempster-Shafer decision making model [13] GPD Selecting resilient supplier [90] GRA & ANP Green supplier selection [91] GRA & TOPSIS Measurement and optimization of surface hardness and tool wear [92] GRA & SAW & TOPSIS MCDM hybrid model based on experimental design…”

Section: Researcher(s)mentioning

confidence: 99%

An Improved Hybrid Grey Relational Analysis Approach for Green Resilient Supply Chain Network Assessment

2017

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In the growing and turbulent market of the current world both in national and in international relations, the need for reviewing and assessment of the resiliency of suppliers as one of the new concepts in supply chain management has been prioritized. In addition, globalization, increasing the regulations of governmental and non-governmental organizations, customers' request and pressure regarding environmental issues has led organizations to evaluate the measures necessary to implement green supply chain management, to improve their environmental and economic performance. The subject of selecting and evaluating suppliers on green supply chain with resilience capability first requires the identification of the supplier evaluation criteria so that it considers the resiliency of the supply chain concurrent with the concepts of green supply chain. Secondly, right tools should be used for the decision. Considering all the criteria and indicators in conditions of uncertainty encourages the development and application of methods, such as fuzzy theory and grey systems theory. In this research, a comprehensive model for evaluating green resilience supply chain network is provided. In order to apply both quantitative and qualitative criteria, the possibility of making the target based criteria dimensionless along the cost or benefit criteria, the use of experts' opinions in the allocation of weights to the criteria and indicators using grey numbers, grey relational analysis are developed and improved. In the end, the implementation of the proposed model is explained step by step in a case study and the future conclusions and recommendations are suggested.

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An optimal grey based approach based on TOPSIS concepts for supplier selection problem

Cited by 26 publications

References 23 publications

Identifying the root causes for inventory accumulation and prioritizing them using an MCDM-based TOPSIS approach

Identifying the root causes for inventory accumulation and prioritizing them using an MCDM-based TOPSIS approach

Analysis of the Practice of Dengue Prevention and Sustainable Control with Multi-attribute Decision-making

An Improved Hybrid Grey Relational Analysis Approach for Green Resilient Supply Chain Network Assessment

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