Modeling and Statistical Analysis of Complexity in Manufacturing Systems Under Flow Shop and Hybrid Environments

2021 ◽  
Author(s):  
Germán Herrera Vidal ◽  
Jairo Rafael Coronado Hernandez ◽  
Claudia Minnaard
Keyword(s):  
Statistical Analysis ◽  
Structural Design ◽  
Manufacturing Systems ◽  
Flow Shop ◽  
Methodological Approach ◽  
Production Costs ◽  
Assembly Lines ◽  
Definition Of ◽  
Buffer Capacities ◽  
Design Factors

Abstract In manufacturing systems, there are environments where the elaboration of a product requires a series of sequential operations, involving the configuration of machines by stages, intermediate buffer capacities, definition of assembly lines and routing of parts. The objective of this research is to develop a modeling and statistical analysis of complexity in manufacturing systems under flow shop and hybrid environments. The methodological approach starts with the structural modeling, then the measurement of the complexity in the systems is developed, the hypotheses are proposed and finally an experimental and factorial statistical analysis is developed. The results obtained corroborate the hypotheses proposed, where statistically the structural design factors and the variation of production time per stage have a significant influence on the response variable associated to the total complexity. Similarly, there is evidence of correlation between the performance indicators and the variable studied, in which the incidence with production costs stands out.

scholarly journals Driving Technologies for the Design of Additive Manufacturing Systems

2021 ◽  
Vol 2 (1) ◽  
pp. 20-28
Author(s):  
Paolo Righettini ◽  
Roberto Strada
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Methodological Approach ◽  
Interdisciplinary Approach ◽  
Transition Control ◽  
Plant Floor ◽  
Technology Process ◽  
Base Reference ◽  
Definition Of ◽  
Technical Solutions

The Additive Manufacturing (AM) technology, belonging to the most comprehensive Net Shape Forming family, has in recent years a growing trend due to the increasing quality of the built product. These results may open the application of the AM to the industrial field, moving the application from laboratories to the plant floor. This step requires machines capable of executing the technology process of AM with the requirements of the industrial environment, concerning as example the production speed, reliability, robustness, and process stability. The design of such type of machinery requires a systematic and multidisciplinary approach for reaching these industrial targets. Indeed the AM process involves several design technological issues, like temperature control of the material to be processed, characteristics of the energy source for material transition, control of the power transferred to the material, scanning system’s head control, 3D model’s layer definition, generation of the laser point’s trajectories. The final product’s quality strongly depends on all these aspects synergically linked each other, as well as on the technical solutions to realize them. The paper presents an interdisciplinary approach to the design of machines for AM, based on the Powder Bed Fusion process, and targeted to the industrial field. The technological platforms discussed in the paper are essential for such type of machines. The strategy proposed constitutes a base reference point for the definition of a methodological approach to the design of AM machinery. Doi: 10.28991/HIJ-2021-02-01-03 Full Text: PDF

DYNAMIC SCHEDULING OF MANUFACTURING SYSTEMS WITH MACHINE LEARNING

2001 ◽  
Vol 12 (06) ◽  
pp. 751-762 ◽  
Author(s):  
PAOLO PRIORE ◽  
DAVID DE LA FUENTE ◽  
ALBERTO GOMEZ ◽  
JAVIER PUENTE
Keyword(s):  
Machine Learning ◽  
Manufacturing Systems ◽  
Job Shop ◽  
Dynamic Scheduling ◽  
Flow Shop ◽  
Dispatching Rules ◽  
Heuristic Rules ◽  
Learning Program ◽  
Training Examples ◽  
Definition Of

A common way of scheduling jobs dynamically in a manufacturing system is by means of dispatching rules. The drawback of this method is that the performance of these rules depends on the state the system is in at each moment, and no one rule exists that overrules the rest in all the possible states that the system may be in. It would therefore be interesting to use the most appropriate rule at each moment. To achieve this goal, a scheduling approach which uses machine learning is presented in this paper. The methodology proposed in this paper may be divided into five basic steps. Firstly, definition of the appropriate control attributes for identifying the relevant manufacturing patterns. In second place, creation of a set of training examples using different values of the control attributes. Subsequently, acquiring of heuristic rules by means of a machine learning program. Then, using of the previously calculated heuristic rules to select the most appropriate dispatching rules, and finally testing of the performance of the approach. The approach that we propose is applied to a flow shop system and to a classic job shop configuration. The results demonstrate that this approach produces an improvement in the performance of the system when compared to the traditional method of using dispatching rules.

Identification of managerial competencies of the organizational leaders of the Passifloraceae production sector in the Huila Department

2020 ◽  
Vol 36 (67) ◽  
pp. 61-78
Author(s):  
Hernando Gil Tovar ◽  
Derly Cibelly Lara Figueroa
Keyword(s):  
Methodological Approach ◽  
Superior Performance ◽  
Organizational Leaders ◽  
Management Skills ◽  
Generational Change ◽  
Production Sector ◽  
Managerial Competencies ◽  
Conducting Research ◽  
Definition Of ◽  
Small Producers

Managerial competencies, defined as the “underlying characteristics of an individual that have a causal relationship with effective or superior performance in the job” (Boyatzis, 1982, p. 12), are key to achievement of productive purposes in the Huila department, in Colombia. The present article, as an investigative result, seeks to identify those managerial competencies, both current and required, of the organizational leaders in the Passifloraceae productive sector in the Huila department, in Colombia. The epistemological paradigm used in this article is that of interpretivism. The reasoning method is deductive, and the methodological approach is mixed. The unit of analysis for this study consists of the directors of the associative organizations of Passifloraceae producers in the productive chain, where two types of players are identified: thirteen (13) leaders of organizations producing passion fruit, and five (5) representatives of institutions in the Huila department that influence the sector. The study concludes with the definition of the map of current managerial competences of organizations in the passionfruit productive sector, and is then contrasted with the map of competences required from these. It also highlights the importance of associativity for small producers, the need to continue conducting research in the sector, and the need to intervene through social outreach projects, so as to generate appropriation and training processes for a set of managerial competencies identified herein, which will strengthen management skills and competitiveness in this type of organization, and ensure, over time, generational change within the sector.

Two Theories of Effective Government

2017 ◽  
Author(s):  
Johannes Lindvall
Keyword(s):  
Political Science ◽  
Political Institutions ◽  
Public Policies ◽  
Methodological Approach ◽  
Decision Makers ◽  
Precise Definition ◽  
Policy Changes ◽  
Political Decision ◽  
Definition Of ◽  
The Relationship

This chapter introduces the problem of “reform capacity” (the ability of political decision-makers to adopt and implement policy changes that benefit society as a whole, by adjusting public policies to changing economic, social, and political circumstances). The chapter also reviews the long-standing discussion in political science about the relationship between political institutions and effective government. Furthermore, the chapter explains why the possibility of compensation matters greatly for the politics of reform; provides a precise definition of the concept of reform capacity; describes the book's general approach to this problem; and discusses the ethics of compensating losers from reform; and presents the book's methodological approach.

Real-Time Maintenance Policy in Manufacturing Systems With Intermediate Buffers

2015 ◽  
Author(s):  
Xi Gu ◽  
Xiaoning Jin ◽  
Jun Ni
Keyword(s):  
Real Time ◽  
Manufacturing Systems ◽  
Maintenance Policy ◽  
Discrete Time Markov Chain ◽  
Markov Decision ◽  
Maintenance Decision ◽  
Maintenance Policies ◽  
Time Buffer ◽  
Buffer Capacities ◽  
One Machine

Real-time maintenance decision making in large manufacturing system is complex because it requires the integration of different information, including the degradation states of machines, as well as inventories in the intermediate buffers. In this paper, by using a discrete time Markov chain (DTMC) model, we consider the real-time maintenance policies in manufacturing systems consisting of multiple machines and intermediate buffers. The optimal policy is investigated by using a Markov Decision Process (MDP) approach. This policy is compared with a baseline policy, where the maintenance decision on one machine only depends on its degradation state. The result shows how the structures of the policies are affected by the buffer capacities and real-time buffer levels.

Badania biograficzne rodzin więźniów. Refleksja metodologiczna Angelika Cieślikowska-Ryczko 1

2021 ◽  
pp. 135-162
Author(s):  
Angelika Cieślikowska-Ryczko
Keyword(s):  
Methodological Approach ◽  
Family Members ◽  
Research Field ◽  
Correctional Institution ◽  
Research Experience ◽  
Parental Relationships ◽  
Biographical Research ◽  
Narrative Interview ◽  
Definition Of ◽  
Autobiographical Narrative

The article deals with the life situation of the families of prisoners, in particular, parental relationships connected with the experience of incarceration in a correctional institution. During the realisation of the research I noticed many difficulties in finding contact with potential interlocutors, therefore I considered the families of prisoners as an environment “invisible in the research field”. In addition, I defined families of prisoners as marginalised and stigmatised environments. The main aim of the article is to show selected methodological dilemmas that can be encountered through the design and analysis of biographical research of family members of prisoners. The theoretical introduction of the paper as an extended definition of the penitentiary crisis allowed to characterise the dominant trends and directions of research on prisoners’ families. Further, it focused on selected problems of realisation of qualitative research (especially biographical research). I analyse the literature and present my own methodological approach based on the direction of interpretative sociology. Using the potential of the autobiographical narrative interview technique (of the German sociological school of Fritz Schütze), I collected 31 interviews with adult children of prisoners and 30 interviews with parents of prisoners. Finally, I refer to my own research experience and discuss the “usefulness and ineffectiveness” of an autobiographical narrative interview. Moreover, I characterise key reflections on the role of the researcher in obtaining autobiographical narrations. The article is an invitation to discuss the improvement of research procedures, especially in the area of research on family members of persons in prisons.

Underground Built Heritage (UBH) as Valuable Resource in China, Japan and Italy

Heritage ◽  
2021 ◽  
Vol 4 (4) ◽  
pp. 3208-3237
Author(s):  
Roberta Varriale ◽  
Laura Genovese
Keyword(s):  
Research Council ◽  
Methodological Approach ◽  
National Research Council ◽  
Functional Classification ◽  
Static And Dynamic Analysis ◽  
Built Heritage ◽  
Living Space ◽  
Definition Of ◽  
The Given ◽  
National Systems

Recent research about the theoretical approach to elements of cultural heritage that can be included in the newly born class Underground Built Heritage (UBH), has provided several instruments for the functional classification and the static and dynamic analysis of all artefacts coherent with the given definition, while introducing several criteria for their reuse and the evaluation of connected enhancement processes as well. These guidelines can be adopted to analyze single artefacts, groups of homogenous or heterogeneous elements, and also selected territorial assets or national systems, even at a comparative level. With reference to this potential, research results from the application of this new methodological approach to the outputs of three ongoing projects by the National Research Council of Italy, all focusing on UBH, in three countries: China, Japan and Italy, are presented. With reference to the above-mentioned geographical contests, the research introduces a comparative study focusing on selected examples of artefacts that have been historically built underground to manage three functions: living space, religion and economy. This study, carried out based on data collected during onsite visits by the authors, consists in three steps: selection and analysis of case studies, definition of level of reuses on the basis of a given scale, and analysis of the different tools adopted for their conservation and enhancement. In the conclusions, possible future implementations of reuses of the analyzed elements are pointed out.

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