scholarly journals Evaluation and Selection of Supplier in A Supply Chain Management using DEA-TOPSIS Methods Under Intuitionistic Fuzzy Environment

2019 ◽  
Vol 8 (10) ◽  
pp. 167-172
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Selection Process ◽  
Process Selection ◽  
Numerical Illustration ◽  
Chain Management ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
The Given ◽  
Selection Of

Selection of efficient supplier is essential in a Supply Chain Management. It increases product quality, reduces wastage and saves time. In recent past, many methods were used in supplier selection process. Selection of efficient supplier that suits the manufacturer criteria is needed. The proposed method comprises of two stages that integrates Data Envelopment Analysis (DEA) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The efficiency of the given set of suppliers is evaluated using DEA method in the first stage that filters the given list of suppliers. While in the second stage, TOPSIS method is applied to select one of the efficient suppliers shortlisted in first stage. Integration of two methods reduces the selection time. Since the data provided and the criteria considered are vague and imprecise in nature, decision making is done in intuitionistic fuzzy environment. The proposed methodology is demonstrated with a numerical illustration.

scholarly journals IDENTIFICATION OF CRITERIA FOR THIRD PARTY LOGISTICS SUPPLIERS (3PL) IN SUPPLY CHAIN MANAGEMENT (SCM) IN INDIAN MANUFACTURING INDUSTRIES

2021 ◽  
Vol 13 (2) ◽  
Author(s):  
Swapnil Sawant ◽  
Avinash Sarode
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Manufacturing Industry ◽  
Service Providers ◽  
Selection Process ◽  
Manufacturing Industries ◽  
Third Party ◽  
Third Party Logistics ◽  
Chain Management ◽  
Selection Of

The Indian manufacturing industry is growing rapidly, and supply chain management (SCM) plays the most important role in the industry. In SCM, customer satisfaction in terms of quantity, quality and on time delivery is the most important critical factor. To satisfy this requirement, the best third-party logistics (3PL) service provider is required.  Therefore, the selection of the best third-party logistics provider is one of the basic requirements in SCM. Logistics services are the backbone of an economy, providing the efficient, cost effective flow of goods and services on which other commercial sectors depend. The logistics companies work as the outsourced or third-party service providers and support the organization's logistics functions. In this study, we identified some important criteria for 3PL implementation in SCM in Indian manufacturing industries.  With the help of this study, supply chain managers from small to medium sized manufacturing industries can simplify the selection process for 3PL vendors. This study will help in the selection of the best vendor from such a competitive group and provide justification for the selection. 

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 Management System Design in Vendor Selection Process

2021 ◽  
Author(s):  
Oryza Putri Suriana ◽  
Alfan Reynaldo ◽  
Muhammad Dwi Ferdian Suwardi ◽  
Indra Kusumadi Hartono
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
System Design ◽  
Management System ◽  
Selection Process ◽  
Vendor Selection ◽  
Chain Management ◽  
Supply Chain Management System

scholarly journals Integration of sustainability aspects in the supplier selection process: a case study from a German electronics firm

2020 ◽  
Vol 3 (2) ◽  
pp. 13-27
Author(s):  
Rubén Medina Serrano ◽  
Wanja Wellbrock ◽  
María Reyes González Ramirez ◽  
José Luis Gascó
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Selection Process ◽  
Research Work ◽  
Academic Research ◽  
Professional Activity ◽  
Chain Management ◽  
Sustainable Supplier Selection

The supplier selection process has become an important area of research and professional activity, and it is fundamental to understand the types and trends of research in this field. The appropriate supplier selection decision is a fundamental strategic process and plays an important role in supply chain management. In the last decade, academic research on sustainability has evolved rapidly in the supply chain literature. However, there has been scant opportunity for the research community to complete a global assessment of sustainable supplier selection activities to date. This paper seeks to address this need by exploring sustainability in supply chain management, developing a sustainable supplier selection framework with a tool for its operationalization to help managers evaluate supplier selection decisions. Our proposed model is based on the TOPSIS concept as a multiple criteria decision-making (MCDM) model and is validated through a case study. This research work follows the best-in-class approach to comply with all applicable environmental regulations and laws in the supplier selection process.

scholarly journals Sustainable supply chain management framework in a higher education laboratory using intuitionistic fuzzy cognitive map

2020 ◽  
Vol 13 (2) ◽  
pp. 417
Author(s):  
Muhammad Ridwan Andi Purnomo ◽  
Adhe Rizky Anugerah ◽  
Bella Taradipa Dewipramesti
Keyword(s):  
Higher Education ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Causal Model ◽  
Service Industry ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Intuitionistic Fuzzy

Purpose: This research aims to develop framework in the sustainable supply chain management (SCM) and to provide causal model of service industry specifically in higher education laboratory.Design/methodology/approach: The concepts of sustainable SCM in higher education laboratory were obtained by in-depth interviews and organized using Delphi method. While to identify the relationship between concepts, intuitionistic fuzzy cognitive map was utilized.Findings: As many as 15 concepts were identified to assess sustainability in the higher education laboratory SCM. These 15 concepts were classified into four categories according to its importance level, and there are two most important concepts: legal requirement and social responsibility. It is recommended for higher education laboratories to constantly obey national and regional government regulations and to satisfy current and prospective employers by providing work-ready graduates. This suggestion is expected to make higher education achieving its sustainability goals.  Originality/value: This research is the first to develop a framework for sustainable SCM and to provide a causal model of the service industry especially in the education sector using intuitionistic fuzzy cognitive map.

scholarly journals The LR-Type Fuzzy Multi-Objective Vendor Selection Problem in Supply Chain Management

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1621
Author(s):  
Irfan Ali ◽  
Armin Fügenschuh ◽  
Srikant Gupta ◽  
Umar Muhammad Modibbo
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Real Life ◽  
Selection Problem ◽  
Programming Approach ◽  
Vendor Selection ◽  
Chain Management ◽  
Multi Objective ◽  
Fuzzy Environment ◽  
Proposed Model

Vendor selection is an established problem in supply chain management. It is regarded as a strategic resource by manufacturers, which must be managed efficiently. Any inappropriate selection of the vendors may lead to severe issues in the supply chain network. Hence, the desire to develop a model that minimizes the combination of transportation, deliveries, and ordering costs under uncertainty situation. In this paper, a multi-objective vendor selection problem under fuzzy environment is solved using a fuzzy goal programming approach. The vendor selection problem was modeled as a multi-objective problem, including three primary objectives of minimizing the transportation cost; the late deliveries; and the net ordering cost subject to constraints related to aggregate demand; vendor capacity; budget allocation; purchasing value; vendors’ quota; and quantity rejected. The proposed model input parameters are considered to be LR fuzzy numbers. The effectiveness of the model is illustrated with simulated data using R statistical package based on a real-life case study which was analyzed using LINGO 16.0 optimization software. The decision on the vendor’s quota allocation and selection under different degree of vagueness in the information was provided. The proposed model can address realistic vendor selection problem in the fuzzy environment and can serve as a useful tool for multi-criteria decision-making in supply chain management.

Two Stage Supply Chain Optimization for Perishable Products Under Fuzzy Environment

2019 ◽  
Vol 8 (3) ◽  
pp. 31-48
Author(s):  
Sandhya Makkar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chain Coordination ◽  
Supply Chain Optimization ◽  
Coordination Problem ◽  
Two Stage ◽  
Chain Management ◽  
Fuzzy Environment ◽  
Demand Information ◽  
The One

In the changing market scenario, supply chain management is getting phenomenal importance amongst researchers. Studies on supply chain management have emphasized the vitality of a long-term strategic relationship between the supplier, distributor and retailer. In this article, the authors have studied a two-stage supply chain coordination problem under uncertain costs and demand information when integrated procurement and distribution decisions of supply chain has to be employed. The model incorporates a single supplier transporting its products to multiple destinations of a retailer. This process becomes tedious, as when items have an inventory carrying cost incurred due to perishable nature of products. Different discount policies are offered to procure and transport goods from the one stage to other stage. Fuzzy set theory is applied to estimate the uncertainty associated with the input parameters and triangular fuzzy numbers are used to analyze the model. A case is presented to validate the procedure.

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