scholarly journals Key Parameters for the Analysis Stage of Internationalization of Operations

2018 ◽  
Vol 15 (2) ◽  
pp. 173-181
Author(s):  
Hanzel Grillo ◽  
Josefa Mula ◽  
Sandra Martínez ◽  
Ander Errasti
Keyword(s):  
Decision Making ◽  
Decision Model ◽  
Production Network ◽  
Manufacturing Companies ◽  
Internationalization Process ◽  
Network Development ◽  
Network Configuration ◽  
Industrial Manufacturing ◽  
Global Operations ◽  
New Facility

In this paper, we identify the key parameters to consider in a decision model on internationalization of operations. In order to propose these parameters, the GLOBOPE framework was adopted as the basis of this work. This framework contemplates the three commonest challenges of global operations configuration for industrial manufacturing companies in an internationalization process, which are: new facility implementation (NFI); global suppliers’ network development (GSND); multisite production network configuration. A set of suitable parameters is herein provided for NFI and GSND in the analysis stage from strategic, tactical and operational decision levels. These parameters could be used in the future as a basis for the development of quantitative tools for decision making on the internationalization of operations.

Vergleichssystematik für Optimierungsansätze*/Systematic comparison, analysis and selection of optimization approaches for production network

2018 ◽  
Vol 108 (07-08) ◽  
pp. 555-560
Author(s):  
M. Bressner ◽  
L. M. Wings
Keyword(s):  
Optimization Methods ◽  
Target System ◽  
Production Network ◽  
Manufacturing Companies ◽  
Production Networks ◽  
Comparison Analysis ◽  
Network Configuration ◽  
New Markets ◽  
Systematic Comparison ◽  
Selection Of

Die Expansion in neue Märkte, Unternehmensübernahmen sowie vermehrte Kooperationen führen zur Entstehung von Produktionsnetzwerken. Zur Sicherung der Wettbewerbsfähigkeit sind kontinuierliche Netzwerkanpassungen nötig, die ein klares und individuelles Zielsystem sowie die Auswahl geeigneter Optimierungsverfahren erfordern. Dieser Beitrag präsentiert eine Vergleichssystematik für bestehende Optimierungsansätze zur Netzwerkkonfiguration. Aus strategischer Perspektive werden Produktionsunternehmen befähigt, eine Vorauswahl von Optimierungsansätzen zu treffen.   The emergence of production networks is aided by the penetration of new markets, by acquisitions and cooperation projects. To ensure competitiveness the networks have to be continuously adjusted. This requires a clear and individual target system as well as the selection of suitable optimization methods. This paper compares existing optimization approaches supporting network configuration. From a strategic network perspective, manufacturing companies are enabled to make a pre-selection of optimization approaches.

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang
Keyword(s):  
Decision Making ◽  
Commercial Banks ◽  
Decision Model ◽  
Business Models ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

A partner selection problem for complex product of manufacturing enterprises in supply chain

2021 ◽  
pp. 1-13
Author(s):  
Congdong Li ◽  
Yinyun Yu ◽  
Wei Xu ◽  
Jianzhu Sun
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Fuzzy Theory ◽  
Partner Selection ◽  
Manufacturing Companies ◽  
Complex Product ◽  
Manufacturing Enterprises ◽  
Collaborative Manufacturing ◽  
Matching Degree ◽  
Decision Making Model

In order to better meet customer needs and respond to market demands more quickly, mounting number of manufacturing companies have begun to bid farewell to the traditional unitary manufacturing model. The collaborative manufacturing model has become a widely adopted manufacturing model for manufacturing companies. Aiming at the problem of partner selection for collaborative manufacturing of complex products in a collaborative supply chain environment, this paper proposes a multi-objective decision-making model that comprehensively considers the maximization of the matching degree of manufacturing capacity and the profits of supply chain, and gives the modeling process and application steps in detail. The method first uses fuzzy theory to evaluate the manufacturing capabilities of candidate collaborative manufacturing partners. Secondly, Vector Space Model (VSM) is used to calculate the matching degree of manufacturing capacity and manufacturing demand. Then, the paper studied the profit of the supply chain under the “non-cooperative” mechanism and the “revenue sharing” mechanism. Furthermore, the decision-making model is established. Finally, a simulation was carried out by taking complex product manufacturing of Gree enterprise as an example. The research results show the feasibility and effectiveness of the method.

scholarly journals Determinant Factors in Personal Decision-Making to Adopt COVID-19 Prevention Measures in Chile

2021 ◽  
Vol 18 (15) ◽  
pp. 8131
Author(s):  
Karina Fernanda Gonzalez ◽  
Maria Teresa Bull ◽  
Sebastian Muñoz-Herrera ◽  
Luis Felipe Robledo
Keyword(s):  
Decision Making ◽  
Decision Model ◽  
Protective Action ◽  
Prevention Measures ◽  
Protective Measures ◽  
Protective Action Decision Model ◽  
Exploratory Survey ◽  
Relevant Variables ◽  
Personal Decision ◽  
Action Decision

The pandemic has challenged countries to develop stringent measures to reduce infections and keep the population healthy. However, the greatest challenge is understanding the process of adopting self-care measures by individuals in different countries. In this research, we sought to understand the behavior of individuals who take self-protective action. We selected the risk homeostasis approach to identify relevant variables associated with the risk of contagion and the Protective Action Decision Model to understand protective decision-making in the pandemic. Subsequently, we conducted an exploratory survey to identify whether the same factors, as indicated in the literature, impact Chile’s adoption of prevention measures. The variables gender, age, and trust in authority behave similarly to those found in the literature. However, socioeconomic level, education, and media do not impact the protection behaviors adopted to avoid contagion. Furthermore, the application of the Protective Action Decision Model is adequate to understand the protective measures in the case of a pandemic. Finally, women have a higher risk perception and adopt more protective measures, and in contrast, young people between 18 and 30 years of age are the least concerned about COVID-19 infection.

scholarly journals A comprehensive KPI network for the performance measurement and management in global production networks

2021 ◽  
Author(s):  
B. Verhaelen ◽  
F. Mayer ◽  
S. Peukert ◽  
G. Lanza
Keyword(s):  
Performance Measurement ◽  
Corporate Strategy ◽  
Performance Indicator ◽  
Production Network ◽  
Manufacturing Companies ◽  
Production Networks ◽  
Global Production Networks ◽  
Performance Review ◽  
And Performance ◽  
Corporate Level

AbstractThe trend of globalization has led to a structural change in the sales and procurement markets of manufacturing companies in recent decades. In order not to be left behind by this change, companies have internationalized their production structures. Global production networks with diverse supply and service interdependencies are the result. However, the management of global production networks is highly complex. Key performance indicator (KPI) networks already exist at the corporate level and site level to support the management of complex systems. However, such KPI networks are not yet available to support the management of entire production networks. In this article, a KPI network for global production networks is presented, which links the key figures of the site level and the corporate level. By integrating both levels into a comprehensive KPI network, cause and effect relationship between the production-related KPIs and the strategic KPIs of a corporate strategy become transparent. To this end, this KPI network is integrated into a Performance Measurement and Management (PMM) methodology. This methodology consists of three phases: performance planning, performance improvement, and performance review. For testing the practical suitability, the PMM methodology is applied to the production network of an automotive supplier using a simulation model to estimate the effects of proposed improvement actions of the methodology.

Research on Investment Decision-Making of the Low-Carbon Industrial Listed Company Based on the Uncertainty Set Pair Analysis

2010 ◽  
Vol 39 ◽  
pp. 568-574
Author(s):  
Jun Fei Chen ◽  
Jian Qiao Lin
Keyword(s):  
Decision Making ◽  
Decision Model ◽  
Listed Company ◽  
Investment Decision ◽  
Set Pair Analysis ◽  
Low Carbon ◽  
Development Mode ◽  
Investment Decision Making ◽  
Uncertainty Set ◽  
Pair Analysis

As a new economical development mode, “low-carbon economic” is attracting more and more attention all over the world. In this paper, associating with the development background of the low-carbon industry, we applied the uncertainty set pair analysis (SPA) into the investment decision-making of the listed company, and established the investment decision model based on the uncertainty SPA. As a case, we made investment decision analysis to 12 typical low-carbon industrial listed companies selected. The results show that it is effective and applicable, and the research is helpful for the investors conducting decision-making.

DECISION SUPPORT FOR A SUSTAINABLE PRODUCTION IN JOB SHOP MANUFACTURING SYSTEMS

10.6036/9917 ◽  
2021 ◽  
Vol 96 (5) ◽  
pp. 455-459
Author(s):  
MAHDI NADERI ◽  
ANTONIO FERNÁNDEZ ULLOA ◽  
JOSÉ ENRIQUE ARES GÓMEZ ◽  
GUSTAVO PELÁEZ LOURIDO
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Job Shop ◽  
Sustainable Production ◽  
Ease Of Use ◽  
Manufacturing Companies ◽  
Strategic Decisions ◽  
Production Environments

Despite the growing importance that is being given to the concepts of sustainability in many areas, not only in industry but also in the economy and public opinion in general, until now, most research has focused, practically, on the analysis of the concepts, but has not addressed, in a comprehensive way, its impact in decision making probably due to the complex relations of interdependence between its different aspects. In this context, MAPSAM (Methodology for the Assessment of Sustainability in Manufacturing Processes and Systems) was created to help the decision-making process, allowing a conscious and transparent assessment by administrators and managers at the different levels of the structure of companies and organisations. This article explains its development and application in a "job shop" type manufacturing system with an approach that allows the integration of economic, environmental and social criteria. MAPSAM is based on the use of various techniques and tools to quantify the importance of each aspect of sustainability and it has been applied in other production environments, being implemented in different systems, analysing their ease of use and evaluating their behaviour. The objective is to show how it helps to make operational, tactical and strategic decisions in the management on these type of manufacturing companies and, specifically, in this contribution we want to highlight its versatility and applicability, by validating it in a certain type of layout. With this new application, MAPSAM increases its possibilities as an innovative instrument that allows companies to make conscious and sustainable decisions in order to be more efficient, fair, supportive and respectful of the environment. Keywords: Manufacturing System, Simulation, Decision Support, Sustainable Production, Decision-Making

Sustainable circular supplier selection and evaluation in the manufacturing sector using Pythagorean fuzzy EDAS approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chang Liu ◽  
Pratibha Rani ◽  
Khushboo Pachori
Keyword(s):  
Decision Making ◽  
Human Behavior ◽  
Circular Economy ◽  
Supplier Selection ◽  
Manufacturing Sector ◽  
Uncertain Information ◽  
Manufacturing Companies ◽  
Content Type ◽  
Sustainable Supplier Selection ◽  
Selection Of

PurposeDue to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.Design/methodology/approachThis paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.FindingsThe outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.Originality/valueSelecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.

Agentic work behaviour and thriving at work: role of decision making authority

2018 ◽  
Vol 25 (8) ◽  
pp. 3225-3237 ◽  
Author(s):  
Surendra Kumar Sia ◽  
Pravakar Duari
Keyword(s):  
Decision Making ◽  
Three Dimensions ◽  
Positive Contribution ◽  
Manufacturing Companies ◽  
Content Type ◽  
Independent Contribution ◽  
The Relationship ◽  
Task Focus ◽  
Thriving At Work

PurposeThe purpose of this paper is to examine the contribution of agentic work behaviour and decision-making authority (DMA) to thriving at work and, more importantly, the moderating role of DMA in the relationship between agentic behaviour and thriving.Design/methodology/approachThe study has been carried out upon a random sample of 330 employees below supervisory level from manufacturing companies located at Odisha (a state located at the eastern part of India). After verifying the significance of correlation among the study variables through Pearson’s product moment correlation, moderated regression analyses were carried out to examine the independent contribution of agentic work behaviour and DMA to thriving as well as the moderating contribution of DMA towards thriving.FindingsResults reveal that the three dimensions of agentic work behaviour, namely, task focus, exploration and heedful relation, have a direct positive contribution towards thriving at workplace. As far as the moderation is concerned, it is observed that the thriving level is higher for the employees having high DMA irrespective of the level of agentic work behaviour at each dimension.Research limitations/implicationsThe findings imply for designing interventions to enhance task focus, super-ordinate relationship and interest for learning. In addition, the organisations should provide autonomy to employees for decision making.Originality/valueThe study is first of its kind in the Indian context upon employee thriving. In this study, the authors have not only investigated the separate independent contribution of agentic behaviour and DMA, but also their interacting contribution to employee thriving.

Sign in / Sign up

Export Citation Format

Share Document