scholarly journals Decision Making in Support of Manufacturing Enterprise Transformation

2013 ◽  
Vol 2013 ◽  
pp. 1-2 ◽  
Author(s):  
Albert Jones ◽  
Richard H. Weston ◽  
Bernard Grabot ◽  
Bernard Hon
Keyword(s):  
Decision Making ◽  
Manufacturing Enterprise ◽  
Enterprise Transformation

Management and Strategies for Digital Enterprise Transformation

2021 ◽  
pp. 205-224
Author(s):  
Jovanna Nathalie Cervantes-Guzmán
Keyword(s):  
Decision Making ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
International Level ◽  
Behavioral Bias ◽  
Secondary Sources ◽  
Information And Communication ◽  
Enterprise Transformation ◽  
Digital Enterprise ◽  
And Behavior

The chapter explores the utility of neuroeconomics in decision making and behavior. Scientific knowledge will be advanced in the need for the application of neuroeconomics focused on one of the services of the information and communication technologies (ICT) of companies, that is, e-commerce of exponential artisanal SMEs of women entrepreneurs, by developing a proposal for a business model to increase the possibility of growth of their companies at the level national and international level. The methodologies used were deductive, exploratory, descriptive, correlational, and documentary. Neuroeconomics have the potential to explain the phenomena that are considered as a deviation from the prediction or behavioral bias of decision-making models in economic theory. The study is quantitative using primary and secondary sources for research.

scholarly journals A Novel Hybrid Fuzzy Grey TOPSIS Method: Supplier Evaluation of a Collaborative Manufacturing Enterprise

2019 ◽  
Vol 9 (18) ◽  
pp. 3770 ◽  
Author(s):  
Yixiong Feng ◽  
Zhifeng Zhang ◽  
Guangdong Tian ◽  
Amir Mohammad Fathollahi-Fard ◽  
Nannan Hao ◽  
...  
Keyword(s):  
Decision Making ◽  
Comprehensive Evaluation ◽  
Real Life ◽  
Fuzzy Topsis ◽  
Supplier Evaluation ◽  
Manufacturing Enterprise ◽  
Collaborative Manufacturing ◽  
Life Problems ◽  
Order Preference ◽  
The Difference

Recently, there is of significant interest in developing multi-criteria decision making (MCDM) techniques with large applications for real-life problems. Making a reasonable and accurate decision on MCDM problems can help develop enterprises better. The existing MCDM methods, such as the grey comprehensive evaluation (GCE) method and the technique for order preference by similarity to an ideal solution (TOPSIS), have their one-sidedness and shortcomings. They neither consider the difference of shape and the distance of the evaluation sequence of alternatives simultaneously nor deal with the interaction that universally exists among criteria. Furthermore, some enterprises cannot consult the best professional expert, which leads to inappropriate decisions. These reasons motivate us to contribute a novel hybrid MCDM technique called the grey fuzzy TOPSIS (FGT). It applies fuzzy measures and fuzzy integral to express and integrate the interaction among criteria, respectively. Fuzzy numbers are employed to help the experts to make more reasonable and accurate evaluations. The GCE method and the TOPSIS are combined to improve their one-sidedness. A case study of supplier evaluation of a collaborative manufacturing enterprise verifies the effectiveness of the hybrid method. The evaluation result of different methods shows that the proposed approach overcomes the shortcomings of GCE and TOPSIS. The proposed hybrid decision-making model provides a more accurate and reliable method for evaluating the fuzzy system MCDM problems with interaction criteria.

Advancing Cybersecurity for Business Transformation and Enterprise Architecture Projects

2021 ◽  
pp. 288-331
Author(s):  
Antoine Trad
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Model ◽  
Decision Making ◽  
Enterprise Architecture ◽  
Research Approach ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Business Transformation ◽  
Action Research Approach ◽  
Enterprise Transformation

In this chapter, the author bases his research project on his authentic mixed multidisciplinary applied mathematical model for transformation projects. His mathematical model, named the applied holistic mathematical model for projects (AHMM4P), is supported by a tree-based heuristics structure. The AHMM4P is similar to the human empirical decision-making process and is applicable to any type of project; it is aimed to support the evolution of organisational, national, or enterprise transformation initiatives. The AHMM4P can be used for the development of the cybersecurity subsystems, enterprise information systems, and their decision-making systems, based on artificial intelligence, data sciences, enterprise architecture, big data, deep learning, and machine learning. The author attempts to prove that an AHMM4P-based action research approach can unify the currently frequently-used siloed MLI4P and DLI4P trends.

Research on the Model of Group Decision-Making in Manufacturing Enterprise Emergency Event

2010 ◽  
Vol 26-28 ◽  
pp. 411-415
Author(s):  
Ke Fan Xie ◽  
Gang Chen ◽  
Qian Wu
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Aggregation Process ◽  
Manufacturing Enterprise ◽  
Aggregation Model ◽  
Important Decision ◽  
Emergency Event ◽  
Emergency Group

As to a manufacturing enterprise, emergency event is inevitable. As its technology specificity and exclusiveness, expert plays an important role in the process of occurrence and tackling of emergency event. Therefore emergency group decision-making based on experts’ opinion is an important decision-making approach. This paper conducts a research on its mechanism and constructs a rough transfer aggregation model, which describes its aggregation process for group decision-making on emergency event tackling in manufacturing enterprise.

scholarly journals INFORMATION TECHNOLOGIES OF SUPPORTING DECISION-MAKING ON MANAGING THE PROCUREMENT OF A MANUFACTURING ENTERPRISE

2018 ◽  
Vol 5 (3 (5)) ◽  
pp. 57-66
Author(s):  
Ольга Володимирівна Малєєва ◽  
Аліна Володимирівна Єлізєва ◽  
Наталія Вікторівна Косенко ◽  
Вікторія Валеріївна Невлюдова
Keyword(s):  
Decision Making ◽  
Information Technologies ◽  
Manufacturing Enterprise

A Time-Bound Framework for Negotiation and Decision Making of Virtual Manufacturing Enterprise

2004 ◽  
Vol 14 (1) ◽  
pp. 27-41 ◽  
Author(s):  
Kyoung Jun Lee ◽  
Yong Sik Chang ◽  
Hyung Rim Choi ◽  
Hyun Soo Kim ◽  
Young Jae Park ◽  
...  
Keyword(s):  
Decision Making ◽  
Virtual Manufacturing ◽  
Manufacturing Enterprise

scholarly journals INVOLVEMENT OF EMPLOYEES IN OPERATIONAL PLANNING OF MANUFACTURING ENTERPRISES: LATVIA EXPERIENCE

2021 ◽  
Vol 16 (2) ◽  
pp. 87-101
Author(s):  
Diāna Līduma ◽  
Inese Lūsēna-Ezera
Keyword(s):  
Decision Making ◽  
Strategic Planning ◽  
Goal Setting ◽  
Employee Involvement ◽  
Operational Planning ◽  
Decision Making Process ◽  
Common Goal ◽  
Manufacturing Enterprise ◽  
Strategic Issues ◽  
Manufacturing Enterprises

The main feature of teamwork is a common goal, and the involvement of employees is essential to its achievement. In a wider scope, it is understood not only by the involvement of employees in decision-making but also as the involvement of employees in operational planning and strategic issues. Research aim is to find out whether the involvement of employees in decision-making, goal setting and planning is inherent in manufacturing enterprises. According to a survey of 268 different level employees of 25 manufacturing enterprises in Latvia, it was found out that involvement of all employees in the decision-making process is not perceived by the enterprises` performance and strategic planning, and the involvement of employees in decision-making and goal setting can only be seen within the department. Keywords: decision-making, employee involvement, goal setting, operational planning, manufacturing enterprise, teamwork

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