scholarly journals A Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) and Combined Compromise Solution (CoCoSo) Algorithm in Distribution Center Location Selection: A Case Study in Agricultural Supply Chain

Axioms ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 53
Author(s):  
Phan Thuy Kieu ◽  
Van Thanh Nguyen ◽  
Viet Tinh Nguyen ◽  
Thanh Phong Ho
Keyword(s):  
Supply Chain ◽  
Supply And Demand ◽  
Distribution Center ◽  
Compromise Solution ◽  
Analytic Hierarchy ◽  
Location Selection ◽  
Proposed Model ◽  
Hierarchy Process ◽  
Agricultural Supply

Logistics is an important service sector, contributing to improving the competitiveness of the economy. Therefore, along with increasing the application of technology and effective business models, it is necessary to increase the connectivity of the infrastructure systems of industrial parks, roads, and seaports of regions and the country. Over the past decades, Vietnamese businesses have been step-by-step going through many stages from production, packaging, quality, hygiene, and safety to grasping new stages in the domestic and global value chain. In many industries, businesses are increasing the content of their own designs, exploiting brands, and approaching consumption networks in the target market. The role of the distribution center is becoming more and more important in ensuring a seamless and flawless supply chain. In particular, the distribution center is the most sensitive contact point between supply and demand in each enterprise. Therefore, the key mission of a distribution center is to reconcile supply and demand requirements. Distribution center location selection problems usually involve multiple quantitative and qualitative criteria that the decision maker must take into account for assessing the symmetrical impact of the criteria to reach the most accurate result. In this study, the authors propose a hybrid MCDM model based on Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) and Combined Compromise Solution (CoCoSo) Algorithm to support the distribution location selection problem of perishable agricultural products. The proposed model is then applied to the numerical case study of the sweet potato product of the Mekong Delta region of Vietnam to demonstrate the feasibility of the model. The contribution of this research is to propose an MCDM model for improving the efficiency of the agricultural supply chain through selecting a location distribution center. This proposed model can be applied to the agricultural supply chain around the world.

scholarly journals Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator

2017 ◽  
Vol 14 (3) ◽  
pp. 428 ◽  
Author(s):  
Rodrigo Barbosa de Santis ◽  
Leonardo Golliat ◽  
Eduardo Pestana de Aguiar
Keyword(s):  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Operations Management ◽  
Supplier Selection ◽  
Standard Procedure ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
And Performance ◽  
Hierarchy Process

The supplier selection problem has been discussed in literature within the supply chain management subject and it is extremely important due to its impact on the entire supply chain configuration, strategy and performance. This work presents a decision model based on the fuzzy analytic hierarchy process method and its application in a real case of maintenance supplier selection in a large Brazilian railway operator. Eight criteria were adopted - technical capacity, financial status, relationship, operations management, security management, infrastructure, historic performance and costs - for evaluating five potential suppliers. In the case study, both first and second ranked suppliers by the method have been selected by the company for providing the services and the model was adopted as a standard procedure within the organization for contracts over US$ 300,000.

Application of Hybrid VIKOR Model in Selection of Maintenance Strategy

2012 ◽  
Vol 5 (2) ◽  
pp. 59-81 ◽  
Author(s):  
M. Ilangkumaran ◽  
S. Kumanan
Keyword(s):  
Textile Industry ◽  
Maintenance Strategy ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Order Preference ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Insight Into ◽  
Selection Of

This paper focuses on the use of Fuzzy Analytic Hierarchy Process (FAHP) and VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) to select an optimum maintenance strategy for a textile industry. In the proposed methodology, first the weight of each criterion is calculated by using improved AHP with fuzzy set theory to overcome the problems of unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process and then the VIKOR method is applied to compensate the imprecise ranking of the AHP in the selection of maintenance strategy. The real case study is conducted for a textile industry to illustrate the utilization of the proposed model for the maintenance strategy selection problem. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to make sure that the result of the proposed model can be acceptable. A sensitivity analysis is also conducted to show the validity of the proposed model. The paper gives an insight into multi criteria decision-making (MCDM) techniques to select an optimum maintenance strategy for a process industry using a case study.

Multi-criteria supplier selection model using the analytic hierarchy process approach

2016 ◽  
Vol 11 (1) ◽  
pp. 326-354 ◽  
Author(s):  
Vinod Yadav ◽  
Milind Kumar Sharma
Keyword(s):  
Analytic Hierarchy Process ◽  
Automobile Industry ◽  
Supplier Selection ◽  
Selection Process ◽  
Selection Model ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Proposed Model ◽  
Hierarchy Process

Purpose – The purpose of this paper is to propose a supplier selection model for an automobile company using analytic hierarchy process (AHP) approach. Supplier selection is now growing to be an important but complex issue, as it involves a large number of factors and decisions. These factors have complicated operational and financial implications. Design/methodology/approach – A case study of an Indian automobile company is used to illustrate and propose a supplier selection model using AHP approach. Findings – Key criteria of the supplier selection problem are identified based on the literature review and case study. Then, a model is proposed for supplier selection using AHP approach followed by a detailed sensitivity analysis. Practical implications – This paper contributes to supplier selection process, and points out the importance of supplier selection. It proposes a supplier selection model for an automobile industry which often faces heterogeneous supply environments. The proposed model provides key criteria for supplier selection in Indian context. This model may have high acceptability, where a large number of suppliers are available to supply the materials or provide the services. Originality/value – The proposed model can provide guidelines and directions for managers involved in purchasing function to effectively select suppliers on the basis of the identified criteria in the heterogeneous manufacturing environment.

scholarly journals UTILITY-BASED MULTICRITERIA MODEL FOR EVALUATING BOT PROJECTS SEP PROJEKTŲ VERTINIMO MODELIS PAGRĮSTAS DAUGIAKRITERINE NAUDINGUMO TEORIJA / SEP PROJEKTŲ VERTINIMO MODELIS PAGRĮSTAS DAUGIAKRITERINE NAUDINGUMO TEORIJA

2011 ◽  
Vol 17 (2) ◽  
pp. 207-218 ◽  
Author(s):  
Min-Ren Yan ◽  
Cheng-Sheng Pong ◽  
Wei Lo
Keyword(s):  
Evaluation Model ◽  
Objective Evaluation ◽  
Capital Investments ◽  
Analytic Hierarchy ◽  
Limited Government ◽  
Proposed Model ◽  
Multicriteria Model ◽  
Economic Developments ◽  
Hierarchy Process

Owing to the urgent demands for new developments and maintenances of the existing infrastructures under limited government budget and time, increasing BOT (build-operate-transfer) projects have been a significant factor affecting the economic developments in many countries. However, as BOT projects usually induce huge capital investments, government sectors must prudently evaluate the project feasibility from both financial and nonfinancial aspects before the implementation. Therefore, how to establish an objective evaluation model which can comprehensively assess the feasibility of each BOT project and determine the priority of its implementation has become an important issue. This study incorporates analytic hierarchy process (AHP) and utility theory to develop a utility-based multicriteria model for supporting the selection of BOT projects. A case study is provided to demonstrate that the implementation of the proposed model can effectively help decision-making teams participate in economical evaluations so that the feasibility of as-planed BOT projects can be determined and project priority can be set efficiently and consistently. Santrauka Dėl esamos infrastruktūros plėtros ir atnaujinimo būtinybės, esant ribotam valstybės biudžetui ir laikui, SEP (Statyba-Eksploatacija-Perdavimas) projektų vykdymas ženkliai prisidėjo prie daugelio šalių ekonominių pokyčių. Dažnai SEP projektai reikalauja didelių kapitalo investicijų, todėl valstybės sektorius turi įvertinti projekto įgyvendinimo galimybes tiek finansiniu tiek nefinansiu aspektu. Koks turi būti objektyvaus vertinimo modelis, kuris leistų visapusiškai įvertinti kiekvieno SEP projeto pagrįstumą ir nustatyti jo įgyvendinimo prioritetus? Šiame straipsnyje, naudojant analitinę hierarchinio proceso (AHP) struktūrą ir naudingumo teoriją, SEP projektų atrinkimui sukurtas daugiakriterine naudingumo teorija pagrįstas modelis. Skaitmeninis pavyzdys įrodo, kad siūlomas modelis gali sėkmingai pagelbėti atrenkant ekonomiškai efektyvius SEP projektus.

scholarly journals AHP Methodology Application in Garage-parking Facility Location Selection

2012 ◽  
Vol 23 (4) ◽  
pp. 303-313 ◽  
Author(s):  
Aleksandra Deluka-Tibljaš ◽  
Barbara Karleuša ◽  
Čedomir Benac
Keyword(s):  
Facility Location ◽  
Analytic Hierarchy ◽  
Location Selection ◽  
The Sustainable Development ◽  
Analysis Methodology ◽  
The Social ◽  
Hierarchy Process ◽  
The Town ◽  
Selection Of

The paper deals with the selection of traffic infrastructure facility location by applying the AHP (Analytic Hierarchy Process) multi-criteria analysis methodology. The proposed methodology is applied in a case study to solve the problem of selecting a location for the garage-parking facility in the town of defined characteristics. The paper analyses the characteristics of five potential locations (alternatives), the selection of criteria and measures for assessing the alternatives and presents the input data preparation, the application of the selected method and the analysis results. All the relevant criteria for the analyses were included: the traffic, the economic criteria and those which nowadays are of great significance: the influence of the facility on the environment and the social criteria which is in accordance with the sustainable development principles. The goal of the paper is to present the procedure of the AHP method application on the complex issue of traffic planning and to confirm the adequacy of the chosen method on the traffic facility strategic planning.

A Fuzzy AHP Model for 3PL Selection in Lead Logistics Provider Scenarios

2010 ◽  
pp. 261-277 ◽  
Author(s):  
Rajbir Singh Bhatti ◽  
Pradeep Kumar ◽  
Dinesh Kumar
Keyword(s):  
Service Providers ◽  
Fuzzy Ahp ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Decision Factors ◽  
Proposed Model ◽  
Using Data ◽  
Hierarchy Process ◽  
Selection Of

Selection of service providers in the global supply chains of today has been recognized as having a very important effect on the competitiveness of the entire supply chain. It results in achieving high quality end results (products and/or services), at reasonable cost coupled with high customer satisfaction. This article discusses the use of Fuzzy Analytic Hierarchy Process (FAHP) to effectively manage the qualitative and quantitative decision factors which are involved in the selection of providers of 3PL services under Lead Logistics Provider (LLP) environments of today. Lead logistics providers (LLP) are increasingly being banked upon to integrate the best of 3PL service providers and allow for synchronized and optimized operations. In the asset free environments of today, many a times, the LLP uses the services of the 3PL and hence the issue of reliably choosing them assumes increasingly greater significance. The fuzzy-AHP has been adequately demonstrated in literature to be an effective tool which can be used to factor-in the fuzziness of data. Triangular Fuzzy Numbers (TFN) have been deployed to make over the linguistic comparisons of criteria, sub-criteria and the alternatives. The FAHP based model formulated in this chapter is applied to a case study in the Indian context using data from three leading LSPs with significant operating leverages in the province of Uttrakhand (India). The proposed model can provide the guidelines and directions for the decision makers to effectively select their global service providers in the present day competitive logistics markets.

Supply chain collaboration index: an instrument to measure the depth of collaboration

2014 ◽  
Vol 21 (2) ◽  
pp. 184-204 ◽  
Author(s):  
Gopal Kumar ◽  
Rabindra Nath Banerjee
Keyword(s):  
Supply Chain ◽  
Supply Chain Collaboration ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Index Model ◽  
External Focus ◽  
Proposed Model ◽  
Index Weight ◽  
Collaborative Activities ◽  
Hierarchy Process

Purpose – The purpose of this paper is to develop and measure supply chain collaboration index and to arrange collaborative activities in terms of its importance. Design/methodology/approach – This study uses data from industries in India to compute the collaboration index. Weight for each activity of collaboration was calculated by analytic hierarchy process (AHP) and this weight was used to compute the index combined with the formula proposed by Fornell et al. Findings – Supply chain collaboration index is computed as 40.44 on a scale of 1-100. The study also arranges collaborative activities in decreasing order of importance. Practical implications – By using model of this study, a firm can benchmark its collaborative practice. They can also identify extent of practice of internal and external focus areas. Further, firms can identify which activities should require more attention and improvement. Originality/value – The study proposed a supply chain collaboration index model and calculated the index using the proposed model and data collected from India. The study used model as proposed by Fornell et al. to compute collaboration index combined with the weight computed by employing AHP.

scholarly journals A Performance Evaluation System for Agricultural Services in Agricultural Supply Chain

2014 ◽  
Vol 5 (3) ◽  
pp. 70-80
Author(s):  
Morteza Zangeneh ◽  
Peter Nielsen ◽  
Asadolah Akram ◽  
Alireza Keyhani
Keyword(s):  
Supply Chain ◽  
Evaluation System ◽  
Selection Procedure ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Analytic Hierarchy ◽  
Performance Evaluation System ◽  
Service Package ◽  
Hierarchy Process ◽  
Agricultural Supply

Abstract The aim of this paper is comparing all possible scenarios to improve the performance of agricultural supply chain (ASC). For this purpose, at first all scenarios is discussed and the main constraints, i.e. available budget and time, is considered. In this study the drivers to improve the performance of ASC is select and distribute the best agricultural service packages in the target ASC. All discussed scenarios need a selection procedure. So a multilevel approach is developed to select the best service package for each scenario. All selection methods are based on performance measurement which had been selected in first level of the approach. Fuzzy decision making and Analytic Hierarchy Process have been used for the approach. A numerical example is solved at the end of the paper to show the capability of the approach and comparing the scenarios.

scholarly journals Decision Tree and AHP Methods Application for Projects Assessment: A Case Study

2021 ◽  
Vol 13 (10) ◽  
pp. 5502
Author(s):  
Augustinas Maceika ◽  
Andrej Bugajev ◽  
Olga Regina Šostak ◽  
Tatjana Vilutienė
Keyword(s):  
Decision Making ◽  
Decision Tree ◽  
Construction Projects ◽  
Decision Making Process ◽  
Analytic Hierarchy ◽  
Model Stability ◽  
Proposed Model ◽  
Tree Methods ◽  
Hierarchy Process

This research is dedicated to the modelling of decision process occurring during the implementation of construction projects. Recent studies generally do not assess the robustness of the decisions regarding the possible changes during the construction project implementation. However, such an assessment might increase the reliability of the decision-making process. We addressed this gap through a new model that combines the decision-making process modelling with the AHP method and includes the analysis of model stability concerning stakeholders’ behaviour. We used the Analytic Hierarchy Process (AHP) and Decision tree methods to model the decision-making process. The proposed model was validated on a case study of multiple construction projects. The assessment was performed from individual investor’s and independent expert’s perspectives. The criteria for the assessment were selected according to the principles of sustainability. We performed the sensitivity analysis, making it possible to assess the possible changes of the decisions depending on the potential patterns of the decision-makers’ behaviour. The results of the study show that, sometimes, small fluctuations in the project factors affect the project selection indicating the possible lack of the robustness of the project decisions.

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