scholarly journals Partner Selection in a Virtual Enterprise: A Group Multiattribute Decision Model with Weighted Possibilistic Mean Values

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Fei Ye ◽  
Qiang Lin
Keyword(s):  
Selection Process ◽  
Virtual Enterprise ◽  
Risk Preferences ◽  
Partner Selection ◽  
Decision Makers ◽  
Mean Values ◽  
Extended Technique ◽  
Fuzzy Environment ◽  
Order Preference ◽  
Decision Making Model

This paper proposes an extended technique for order preference by similarity to ideal solution (TOPSIS) for partner selection in a virtual enterprise (VE). The imprecise and fuzzy information of the partner candidate and the risk preferences of decision makers are both considered in the group multiattribute decision-making model. The weighted possibilistic mean values are used to handle triangular fuzzy numbers in the fuzzy environment. A ranking procedure for partner candidates is developed to help decision makers with varying risk preferences select the most suitable partners. Numerical examples are presented to reflect the feasibility and efficiency of the proposed TOPSIS. Results show that the varying risk preferences of decision makers play a significant role in the partner selection process in VE under a fuzzy environment.

scholarly journals OPTIMIZATION PLAN FOR EXCESS WAREHOUSE STORAGE IN E-COMMERCE–BASED PLANT SHOPS: A CASE STUDY FOR CHINESE PLANT INDUSTRIAL

2019 ◽  
Vol 20 (5) ◽  
pp. 897-919
Author(s):  
Hung-Lung Lin ◽  
Cheng-Chung Cho ◽  
Yu-Yu Ma ◽  
Ying-Qing Hu ◽  
Ze-Hui Yang
Keyword(s):  
Rapid Development ◽  
Critical Role ◽  
Decision Makers ◽  
Volume Data ◽  
High Death ◽  
Order Preference ◽  
Warehouse Storage ◽  
Chinese Plant ◽  
Decision Making Model

The rapid development of e-commerce in China has played a critical role in the development of the national economy and ongoing modernization. The plant industry is unique among industries that employ e-commerce sales models because its products exhibit special characteristics such as high death and damage rates. Therefore, its e-commerce and logistical requirements are stricter than in other industries and, as a result, excess warehouse storage can be extremely difficult for e-commerce–based plant shops to manage. Numerous studies have indicated the need to identify a product’s most up-to-date market conditions, as well as the type, function, and size of warehouses. Therefore, based on a case study, this study proposes an optimization plan for solving excess warehouse storage in e-commerce–based plant shops. First, sales volume data of the case company, Enterprise A, were analyzed to predict future sales. Then, entropy and the technique for order preference by similarity to an ideal solution were used to construct the decision-making model. Finally, a cloud warehouse–based optimization plan was proposed to solve excess warehouse storage in e-commerce–based plant shops. This plan can serve as a reference for decision-makers or executives in e-commerce–based plant shops when handling excess warehouse storage.

scholarly journals MULTI-CRITERIA DECISION APPROACH WITH AHP AND IF-TOPSIS METHODS FOR R&D PROJECT SELECTION PROCESS

2019 ◽  
Vol 25 (3) ◽  
pp. 22-32
Author(s):  
EZGİ GÜLER ◽  
SELEN AVCI ◽  
ZERRİN ALADAĞ
Keyword(s):  
Selection Process ◽  
Fuzzy Topsis ◽  
Project Selection ◽  
Decision Makers ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Intuitionistic Fuzzy Topsis ◽  
Hierarchy Process

In this study, we examined the project selection process in a mould manufacturing company. We ranked 12 criteria via Analytic Hierarchy Process (AHP) and evaluated the most important 8 criteria. Then we applied Intuitionistic Fuzzy TOPSIS (IF-TOPSIS) method, which is the extended version of the TOPSIS method in intuitionistic fuzzy environment. After expressing the decision makers' evaluations in linguistic terms, we turned them into intuitive fuzzy numbers. In the last step, we obtained the project rankings by calculating the closeness coefficient for 5 projects.

scholarly journals Application of Multi-Attribute Decision-Making Methods for the Selection of Conveyor

2021 ◽  
Author(s):  
Satyam Fulzele ◽  
Satywan Khatke ◽  
Shubham Kadam ◽  
Avinash Kamble
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Material Handling ◽  
Selection Process ◽  
Decision Makers ◽  
Variable Cost ◽  
Fixed Cost ◽  
Order Preference ◽  
Multi Attribute Decision Making ◽  
Hierarchy Process

Abstract In the present time of innovation, conveyor assume an exceptionally indispensable part and have huge significance for material handling in different enterprises. A conveyor is essentially utilized for moving any sort of material from one area to other. It is made with nearer precisions, hence the expense related with manufacturing is additionally high. In this manner, it should work with better productivity. The choice of the best conveyor is a crucial activity for designers. Designers need to recognize different variables that will influence the functionalities of the conveyor system to limit bottlenecks in the system. An efficient methodology should be accomplished for the conveyor selection. Subsequently, the current work aims to the selection process of the best option for conveyor by using four decision making methods such as analytical hierarchy process, technique of order preference by similarity to ideal solution, compromise ranking method and Deng’s similarity based method. The selection is done among four alternatives based on six attributes viz: fixed cost each hour, variable cost each hour, conveyor speed, product width, product weight and flexibility. The analytical hierarchy process is used to determine weights of the attributes based on relative importance of each attribute. It is also observed that A3 conveyor is best suitable conveyor. Hence the above proposed strategies help decision-makers to examine and choose the best conveyor by considering the rank obtained of the alternatives.

Process Modeling of Virtual Enterprises Partner Selection Based on Petri Net

2012 ◽  
Vol 472-475 ◽  
pp. 3017-3020
Author(s):  
Bin Huang ◽  
Ning Ning Ma ◽  
Liang Chen
Keyword(s):  
Petri Net ◽  
Process Modeling ◽  
Process Model ◽  
Selection Process ◽  
Virtual Enterprise ◽  
Partner Selection ◽  
Virtual Enterprises ◽  
Dynamic Behaviors ◽  
Model Based ◽  
Reachability Tree

Partner selection process is a major issue in the formation of a virtual enterprise. This paper analyzes the partner selection process of a virtual enterprise and provides its model based on Petri net. The model describes the dynamic behaviors such as concurrent, asynchronism among the factors in partner selection process. In addition, paper analyzes the liveness of the process model by means of the reachability tree.

scholarly journals Adding value to satisficing decisions using TOPSIS in service provider selection problems

2016 ◽  
Vol 7 (1) ◽  
pp. 34-39
Author(s):  
Solly Matshonisa Seeletse
Keyword(s):  
Service Provider ◽  
Selection Process ◽  
Decision Makers ◽  
Added Value ◽  
Ideal Solution ◽  
Scientific Methods ◽  
Selection Problems ◽  
Selection Processes ◽  
Order Preference ◽  
Reduced Costs

Selection processes of credible candidates in competitions are often flawed. The flaws may be deliberate when there is corruption. In other cases the flaws occur because of the decision makers’ inadequacies. Many competitors do their best in developing exceptional proposals, but unfairness of the decision makers undermines these efforts. Ideally, undeserving candidates should be disqualified, and deserving ones be allowed to contest. Systematic methods should be used in the proposal evaluation, and the process should be verifiable. This paper discusses scientific methods proposed for use to select a criterion-based worthy competitor in service provider selection problems. The method is a technique for order preference by similarity to ideal solution (TOPSIS). TOPSIS is a mathematically-derived statistical method useful to offset the biases in the selection process. Features that address both added value and reduced costs are incorporated in the TOPSIS selection process. A numerical example is included to demonstrate TOPSIS fortes

scholarly journals A Multi-agent System Model for Partner Selection Process in Virtual Enterprise

2014 ◽  
Vol 36 ◽  
pp. 367-372 ◽  
Author(s):  
B. Lotfi Sadigh ◽  
F. Arikan ◽  
A.M. Ozbayoglu ◽  
H.O. Unver ◽  
S.E. Kilic
Keyword(s):  
Selection Process ◽  
Virtual Enterprise ◽  
Partner Selection ◽  
System Model ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Partner selection in co-opetition: a three step model

2015 ◽  
Vol 17 (1) ◽  
pp. 23-35 ◽  
Author(s):  
João Alves ◽  
Raquel Meneses
Keyword(s):  
Selection Process ◽  
Partner Selection ◽  
Decision Makers ◽  
Personal Relationships ◽  
Structured Interviews ◽  
Content Type ◽  
Step Model ◽  
Sample Range ◽  
Selection For ◽  
Related Process

Purpose – This paper aims to contribute towards a better understanding of the partner selection process, which anticipates a successful co-opetition partnership. Co-opetition partnerships refer to developing cooperation efforts between competitors. The scarcity of studies conducted in this field to date provides limited contribution for the understanding of the partner selection process in this, particularly, paradoxical concept. Design/methodology/approach – This study follows a methodology based on systematic combining for the qualitative analysis of four cases of domestic co-opetition in Portugal. A sample range of eight companies was selected for a series of semi-structured interviews. Testimonials were transcribed and data coded for content analysis. Findings – Results indicate that prior personal relationships between decision-makers are facilitators for the implementation of cooperation partnerships with competitors. Based on these findings, this paper proposes a three-step model to explain the process of partner selection for co-opetition partnerships. According to this model, after opting to commence a new coopetitive business alliance, the manager undergoes a first unconscious selection based on his/her own prior personal relationships, followed by a conscious and judicious selection based on specific criteria related to partner’s operational skills, resources, effectiveness and trust. Research limitations/implications – Given that the sample is entirely formed by companies from one single country, further research would benefit from the inclusion of other countries expressing different business contexts and cultural environments. Originality/value – The value of paper derives from the comprehensive realization of partner selection for domestic co-opetition as fundamentally a network-related process.

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.

scholarly journals MULTI-CRITERIA DECISION APPROACH WITH AHP AND IF-TOPSIS METHODS FOR R&D PROJECT SELECTION PROCESS

2019 ◽  
Vol 25 (3) ◽  
Author(s):  
EZGİ GÜLER ◽  
SELEN AVCI ◽  
ZERRİN ALADAĞ
Keyword(s):  
Selection Process ◽  
Fuzzy Topsis ◽  
Project Selection ◽  
Decision Makers ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Intuitionistic Fuzzy Topsis ◽  
Hierarchy Process

In this study, we examined the project selection process in a mould manufacturing company. We ranked 12 criteria via Analytic Hierarchy Process (AHP) and evaluated the most important 8 criteria. Then we applied Intuitionistic Fuzzy TOPSIS<strong> (</strong>IF-TOPSIS) method, which is the extended version of the TOPSIS method in intuitionistic fuzzy environment. After expressing the decision makers' evaluations in linguistic terms, we turned them into intuitive fuzzy numbers. In the last step, we obtained the project rankings by calculating the closeness coefficient for 5 projects

Multicriteria Decision-Making Model for Selection of Build-Operate-Transfer Toll Road Proposals in the Public Sector

2003 ◽  
Vol 1848 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Abdulaziz Y. Ababutain ◽  
A. Graham R. Bullen
Keyword(s):  
Decision Making ◽  
Public Sector ◽  
Process Model ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Multicriteria Decision ◽  
The Public ◽  
Toll Road ◽  
Decision Making Model

Governments in many countries have recently begun privatizing infrastructure sectors. Some of the forces that have been driving this movement are a scarcity of public resources, increase in the demand for services, political trend toward privatization, and expansion of global capital markets. The build–operate–transfer (BOT) approach has played a growing role in the implementation of infrastructure privatization. Because of the types, uncertainty, and high risk of BOT projects, the selection process is crucial. To date, decision makers in the public sector have lacked a set of complete selection criteria or a systematic process to help them make quality selections. The main objectives are to understand the details of toll road projects so that ( a) major criteria and variables related to toll roads can be identified and ( b) an integrated decision-making process model can be developed as a framework to help the public sector make quality decisions. The methodology includes development of a multicriteria decision-making model based on the analytical hierarchy process and validated by a case study of the California Department of Transportation privatization program. The model makes the selection process clear and allows it to be traced back by all parties. That fact will likely encourage the private sector to bid on BOT projects. A framework is developed that will enable the public sector to make better decisions when selecting BOT toll road proposals and to also save decision makers time and effort.

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