Design of Supplier Selection Procedure in Garment Company

2014 ◽  
Vol 606 ◽  
pp. 241-245
Author(s):  
Reni Amaranti ◽  
Agus N. Supena ◽  
Agelin S. Ramadhani
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Business Processes ◽  
Raw Materials ◽  
Selection Process ◽  
Selection Procedure ◽  
Purchasing Department ◽  
Quality Of Products ◽  
Hierarchy Process

The purchase of raw materials is very influential for the quality of products produced in addition to the process of making the product itself. Therefore, how to choose the supplier from the available alternatives is something that must be done properly in the process of procurement of raw materials especially for companies with many product variations and associated with many suppliers. This paper discusses about how to make supplier selection procedure for garment company with a case on a medium scale garment company in Bandung that manufactures veil and Moslem fashion. Mapping of business processes using IDEF0 was the first step in designing of supplier selection procedure. Then performed an analysis of the process which is usually done to identify the weaknesses and strengths of the process. The next step is create a design of supplier selection procedure that is more structured and measurable. In addition, also designed a tool that can be used in the supplier selection process, which is a simple application to determine the ranking of suppliers who will be selected based on the criteria specified. The application is based on the decision-making process with The Analytical Hierarchy Process approach that has been commonly used as a tool for decision-making with many alternative choices. In general, the resulting procedure would be beneficial for the company as a guide for those involved in the procurement process at the purchasing department, primarily for decision making in supplier selection.

scholarly journals A Study of Multicriteria Decision Making for Supplier Selection in Automotive Industry

2013 ◽  
Vol 2013 ◽  
pp. 1-22 ◽  
Author(s):  
Nadia Jamil ◽  
Rosli Besar ◽  
H. K. Sim
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Supplier Selection ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Ideal Solution ◽  
Fuzzy Analytical Hierarchy Process ◽  
Automotive Manufacturing ◽  
Multicriteria Decision ◽  
Hierarchy Process

This paper is designed to present the effectiveness of group multicriteria decision making in automotive manufacturing company focusing on the selection of suppliers in Malaysia. The process of selecting suppliers is one of the most critical and challenging endeavor in any supply chain management. There are five decision making tools being analyzed in this study, namely, analytical hierarchy process (AHP), fuzzy analytical hierarchy process (FAHP), technique for order performance by similarity to ideal solution (TOPSIS), fuzzy technique for order performance by similarity to ideal solution (FTOPSIS), and fuzzy analytical hierarchy process integrated with fuzzy technique for order performance by similarity to ideal solution (FAHPiFTOPSIS). The scores of ranking among the suppliers in each MCDM tools (AHP, FAHP, TOPSIS, FTOPSIS, and FAHPiFTOPSIS) show significantly comparable variation. Scores of the best supplier is then compared to the lowest supplier for all MCDM tools whereby this reflects that the highest percentage goes to TOPSIS with scoring of 79.37%. On the contrary, FAHPiFTOPSIS demonstrated the lowest score variation of 22.42% which indicates that FAHPiFTOPSIS is able to eliminate biasness in supplier selection process.

Manufacturing Supplier Selection in Cloud Manufacturing Context and its Implementation and Application Perspectives

2016 ◽  
Author(s):  
Soheil Hassanzadeh ◽  
Kai Cheng
Keyword(s):  
Supplier Selection ◽  
Business Processes ◽  
Value Added ◽  
Cloud Manufacturing ◽  
Web Based ◽  
Learning Module ◽  
Need To Evaluate ◽  
Selection Framework ◽  
Quality Of Products

Nowadays, many companies have decided to use other companies’ competencies and outsource part of their manufacturing and business processes to suppliers from abroad in order to reduce costs, improve quality of products, and offer better services to customers. On the other hand, this decision has faced organizations with new challenges. Organizations need to evaluate their supplier’s performance, and consider their weakness and strength to survive in high competitive markets. In addition, cloud manufacturing, as a powerful tool will likely enable small and medium sized enterprises (SMES) to move towards using dynamic scalability and ‘free’ available data resources in a virtual manner and to provide solution-based, value-added, digital-driven manufacturing service over the Internet. The research presented in this paper aims to develop a supplier selection framework in the context of cloud manufacturing. The paper will present the background and concept of supplier selection following by proposed framework which consisted of four modules, multi-criteria module, bidding module, optimization module, and learning module. Finally, web based supplier selection approach will be briefly presented as it is not the main aim of this paper.

scholarly journals Different Factors and Techniques for Supplier Evaluation and Selection in Automotive Industry of Punjab

2019 ◽  
Vol 8 (12) ◽  
pp. 1338-1345
Keyword(s):  
Automobile Industry ◽  
Supplier Selection ◽  
Selection Process ◽  
Point Of View ◽  
Critical Conditions ◽  
Supplier Evaluation ◽  
Common Criteria ◽  
Purchasing Department ◽  
A Company

In an automobile industry, to operate effectively the supply chain management, it is very important to perform the purchasing function effectively. It is the responsibility of the purchasing department in a company to choose the correct suppliers to purchase the required products. Thus, from purchase manager’s point of view, supplier evaluation technique is essential to choose the best supplier among the available suppliers. The literature addresses quality, delivery, technology, value and service are the five most common criteria used for supplier quality evaluation. In this article, approach of evaluation and selection of supplier has been presented as per the standards. Apart from these, the most important criteria to assess the quality of suppliers is based on a review of the literature and observation in practice. This in turn would help these organizations to review regularly and implement effective quality systems by following the set of standards. Also, nowadays most of the automobile companies have developed in-house pattern of procedures and software for the process of effective supplier selection. In the analysis, part per million equivalent technique is used to help the purchasing organization take a prompt and correct decision related to supplier selection process and evaluation in critical conditions

A Decision-making Model for Supplier Selection in Indian Pharmaceutical Organizations

2019 ◽  
Vol 21 (3) ◽  
pp. 351-371
Author(s):  
Anirban Ganguly ◽  
Chitresh Kumar ◽  
Debdeep Chatterjee
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Selection Process ◽  
Selection Strategy ◽  
Managerial Decision ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Tremendous Amount ◽  
Decision Making Model ◽  
Hierarchy Process

Supplier selection is the process by which firms identify, evaluate and contract with suppliers. The supplier selection process deploys a tremendous amount of a firm’s operational and financial resources and is considered as an important determinant of the success of its supply chain. In spite of being strategically important to organizations, the decision for supplier selection is often complex and unstructured. Furthermore, it is inherently a multi-criterion decision-making (MCDM) problem, which pertains to structuring and solving decision problems involving multiple criteria. The paper provides a framework to analyze and evaluate supplier selection in Indian pharmaceutical sector (IPS) using MCDM technique of fuzzy analytic hierarchy process. It intends to improve managerial decision-making in the IPS in developing a supplier selection strategy based on multi-criteria evaluation technique.

Multi-criteria decision making for supplier selection using fuzzy AHP approach

2015 ◽  
Vol 22 (6) ◽  
pp. 1158-1174 ◽  
Author(s):  
Vinod Yadav ◽  
Milind Kumar Sharma
Keyword(s):  
Decision Making ◽  
Automobile Industry ◽  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Ahp ◽  
Selection Model ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Hierarchy Process

Purpose – The purpose of this paper is to propose a multi-criteria supplier selection model using fuzzy analytical hierarchy process (FAHP) approach for a leading automobile company in India. Design/methodology/approach – FAHP approach followed by a sensitivity analysis has been used. Findings – In this study, a FAHP-based supplier selection model is proposed to provide useful insights in choosing appropriate suppliers in dynamic situations in order to enhance long-term relationship with them. Practical implications – This study proposes a supplier selection model for an automobile industry which often faces heterogeneous supply environments. This model may have a high acceptability where a large number of suppliers are available to supply the materials or provide the services. As analytic hierarchy process is the most widely used methodology for supplier selection, however, it becomes less efficient in case of inconsistencies observed in the data. However a FAHP-based approach may overcome this difficulty. Originality/value – It contributes to supplier selection process and points out the importance of supplier selection problem, especially in the context of multi-criteria decision-making in Indian scenario.

scholarly journals SUPPLIER SELECTION PROCESS IN DAIRY INDUSTRY USING FUZZY-TOPSIS METHOD

2021 ◽  
Vol 4 (1) ◽  
pp. 82-98
Author(s):  
Tarik Cakar ◽  
◽  
Burcu Çavuş ◽  
Keyword(s):  
Supplier Selection ◽  
Selection Criteria ◽  
Selection Process ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Fuzzy Environment ◽  
Quality Of Products ◽  
Topsis Technique ◽  
The Right

Supplier selection is one of the most critical processes within the purchasing function. Choosing the right supplier makes a strategic difference to an organization’s ability to reduce costs and improve the quality of products by helping to select the most suitable supplier. Sütaş Dairy Company, which is entered to Macedonia market in 2012. In the dairy company, there is only one purchasing manager who selects the farmers. Importance weights of criteria are determined using his reference, and also the alternatives are evaluated according to each criterion. The most important criteria are product and other costs, the price is also playing an important role, but due to the small marketplace of Macedonia, the prices are almost the same in every region. To select the dairy supplier in Macedonia, Fuzzy-TOPSIS technique is used. The main goal of using fuzzy logic in this study is to help decision-makers for identifying the importance of selection criteria and rank possible suppliers easily. Since the supplier selection process is a Multi-Criteria Decision Making (MCDM) problem, after identify the weights and rankings in a fuzzy environment, TOPSIS algorithm has been used in the rest of the problem. Finally, fuzzy TOPSIS methodology has been implemented successfully, and its result pointed out the most suitable suppliers.

THE APPLICATION OF ANALYTIC NETWORK PROCESS ANP METHODS FOR COMPANY PROFILE SELECTING ( A CASE STUDY )

JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 54
Author(s):  
Sutikno Wahyu Hidayat ◽  
Ahmadi Ahmadi ◽  
Ike Agustiyani ◽  
Indra Agustian
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Raw Materials ◽  
Selection Process ◽  
Analytic Network Process ◽  
Decision Making Process ◽  
Highest Weight ◽  
Network Process ◽  
Decision Making System

PT. X is a newspaper publishing company. In publishing newspapers, paper raw materials are needed as the main ingredient. In choosing a supplier of paper suppliers, so far the company still applies conventional methods. Improper supplier selection process will have an impact on the sales of the company because it relates to the production process and also the products to be sold later. Many things must be considered in choosing suppliers. In the decision-making process for selecting suppliers, it must be noted that the factors (criteria) that each other might be interrelated. The Analytic Network Process (ANP) method is a method of decision making with many interrelated criteria. This problem is represented in a system with dependence and feedback. The linkages found in the ANP method are linkages in a set of elements (node comparison) and linkages to different elements (cluster comparison). The use of the ANP method will produce priority value weights on all elements contained in the decision making system. From the research that has been done at PT. X there are 4 consideration criteria consisting of 12 sub-criteria, and 3 alternative choices. Based on the results of data processing, alternative suppliers of CV. A was chosen as the best alternative supplier with the highest weight value of 0.158 then CV. B with 0.145 and CV. C of 0.134. Therefore, alternative suppliers of CV. A is the best alternative supplier for the company.

Utilizing analytic hierarchy process for improved decision making within supply chains

2008 ◽  
Vol 27 (1) ◽  
pp. 49-62
Author(s):  
Sameer Kumar ◽  
John Bisson
Keyword(s):  
Analytic Hierarchy Process ◽  
Global Economy ◽  
Supplier Selection ◽  
Selection Process ◽  
Decision Support Tool ◽  
Data Availability ◽  
Analytic Hierarchy ◽  
Support Tool ◽  
Device Manufacturer ◽  
Hierarchy Process

With a growing global economy and competition and increased outsourcing, the supplier selection process has gained more focus and importance within many business enterprises for developing an integrated supply network. Analytic Hierarchy Process (AHP) has been identified as an ideal multi-objective decision support tool to assist firms in completing the supplier selection process as part of strengthening their procurement strategies. This paper involved secondary research methods to gain an understanding of AHP, its various applications, and exploration of how to incorporate non-traditional selection criteria such as environmental criterion into the process. AHP's application for optimal supplier selection to support integrated procurement process is illustrated through an example of a Medical Device Manufacturer (MDM), known for established supplier-customer partnerships and alliances. Major limitation in studying this example included data availability to complete a comprehensive AHP decision management model. However, it was found that AHP is a powerful, structured but flexible method of addressing the multi-criteria supplier selection decision that facilitates building an integrated supply chain.

A Novel spherical fuzzy CRITIC method and its application to prioritization of supplier selection criteria

2021 ◽  
pp. 1-8
Author(s):  
Cengiz Kahraman ◽  
Sezi Cevik Onar ◽  
Başar Öztayşi
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Supplier Selection ◽  
Selection Criteria ◽  
Business Processes ◽  
Multiple Criteria Decision Making ◽  
Decision Matrix ◽  
Neutrosophic Sets ◽  
Numerical Illustration ◽  
Picture Fuzzy Sets

Linguistic terms are quite suitable to make evaluations in multiple criteria decision making problems since humans prefer them rather than sharp evaluations. When linguistic evaluations are used in the decision matrix instead of exact numerical values, fuzzy set theory can capture the vagueness in the linguistic evaluations. Ordinary fuzzy sets have been extended to many new types of fuzzy sets such as intuitionistic fuzzy sets, neutrosophic sets, spherical fuzzy sets and picture fuzzy sets. Spherical fuzzy sets are an extension of picture fuzzy sets whose squared sum of their parameters is at most equal to one. This paper develops a novel spherical fuzzy CRiteria Importance Through Intercriteria Correlation (CRITIC) method and applies it for prioritizing supplier selection criteria. Supplier selection is one of the most critical aspects of any organization since any mistake in this process may cause poor supplier performance and inefficiencies in the business processes. Supplier selection is a multi-criteria decision making problem involving several conflicting criteria and alternatives. A numerical illustration of the proposed method is also given for this problem.

Towards Academic Successor Selection Modelling with Genetic Algorithm in Multi-Criteria Problems

2018 ◽  
Vol 7 (4.33) ◽  
pp. 130
Author(s):  
Atiqa Zukreena Zakuan ◽  
Shuzlina Abdul-Rahman ◽  
Hamidah Jantan ◽  
. .
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Succession Planning ◽  
Fitness Function ◽  
Academic Staff ◽  
Fitness Value ◽  
Selection Decision ◽  
The University ◽  
Hierarchy Process

Succession planning is a subset of talent management that deals with multi-criteria and uncertainties which are quite complicated, ambiguous, fuzzy and troublesome. Besides that, the successor selection involves the process of searching the best candidate for a successor for an optimal selection decision. In an academic scenario, the quality of academic staff contributes to achieving goals and improving the performance of the university at the international level. The process of selecting appropriate academic staff requires good criteria in decision-making. The best candidate's position and criteria for the selection of academic staff is the responsibility of the Human Resource Management (HRM) to select the most suitable candidate for the required position. The various criteria that are involved in selecting academic staff includes research publication, teaching skills, personality, reputation and financial performance. Previously, most studies on multi-criteria decision-making adopt Fuzzy Analytical Hierarchy Process (FAHP). However, this method is more complex because it involved many steps and formula and may not produce the optimum results. Therefore, Genetic Algorithm (GA) is proposed in this research to address this problem in which a fitness function for the successor selection is based on the highest fitness value of each chromosome.    

Sign in / Sign up

Export Citation Format

Share Document