scholarly journals Simultaneous consideration of TQM and TPM influence on production performance: A case study on multicolor offset machine using SD Model

2016 ◽  
Vol 8 ◽  
pp. 16-18 ◽  
Author(s):  
Nagaraj H. Kamath ◽  
Lewlyn L.R. Rodrigues
Keyword(s):  
Production Performance ◽  
Sd Model

scholarly journals Human–Robot Interaction for Improving Fuselage Assembly Tasks: A Case Study

2020 ◽  
Vol 10 (17) ◽  
pp. 5757
Author(s):  
Elena Laudante ◽  
Alessandro Greco ◽  
Mario Caterino ◽  
Marcello Fera
Keyword(s):  
Risk Index ◽  
Human Action ◽  
Human Robot Interaction ◽  
Production Performance ◽  
Robot Interaction ◽  
Speed Increase ◽  
Human Operators ◽  
Assembly Performance ◽  
Assembly Tasks

In current industrial systems, automation is a very important aspect for assessing manufacturing production performance related to working times, accuracy of operations and quality. In particular, the introduction of a robotic system in the working area should guarantee some improvements, such as risks reduction for human operators, better quality results and a speed increase for production processes. In this context, human action remains still necessary to carry out part of the subtasks, as in the case of composites assembly processes. This study aims at presenting a case study regarding the reorganization of the working activity carried out in workstation in which a composite fuselage panel is assembled in order to demonstrate, by means of simulation tool, that some of the advantages previously listed can be achieved also in aerospace industry. In particular, an entire working process for composite fuselage panel assembling will be simulated and analyzed in order to demonstrate and verify the applicability and effectiveness of human–robot interaction (HRI), focusing on working times and ergonomics and respecting the constraints imposed by standards ISO 10218 and ISO TS 15066. Results show the effectiveness of HRI both in terms of assembly performance, by reducing working times and ergonomics—for which the simulation provides a very low risk index.

Performance measurement system in the situation of simultaneous vertical and horizontal integration

2016 ◽  
Vol 36 (10) ◽  
pp. 1182-1200 ◽  
Author(s):  
Jukka Pellinen ◽  
Henri Teittinen ◽  
Marko Järvenpää
Keyword(s):  
Performance Measurement ◽  
Single Case ◽  
Field Studies ◽  
Production Performance ◽  
Performance Measurement System ◽  
Horizontal Integration ◽  
Content Type ◽  
Performance Measurement Systems ◽  
Integration Strategies

Purpose The purpose of this paper is to extend the knowledge of the use of performance measurement systems (PMS) in situations where the benefits of both vertical and horizontal integration strategies are sought simultaneously. Design/methodology/approach This is a single case study, the purpose of which is to build a contextual theory. Findings The main results highlight three competing and partly contradictory tendencies in the development and use of PMS in organizational integration. In addition, the authors have identified features of PMS that may benefit or hinder integration. Grounded on empirical findings the paper presents a more complete theoretical framework of PMS for integration. Research limitations/implications The propositions of the framework need to be tested in different contexts with case and field studies or a large sample of data using statistical techniques to improve external validity. The causal relationships explored in this study may be further developed using longitudinal studies. Practical implications In acquisition situations there exists the need for vertical integration to control the growing complexity but at the same time for horizontal control to advance customer-centred production. Performance measurement is the key issue to examine the execution and results of such integrations. Originality/value Case study findings are used to develop a more comprehensive theory of PMS design and use in situations where both vertical and horizontal integration are sought. Contrary to current understandings, the central statement of this study is that horizontal organization is not an alternative to vertical organizational structure but they can be effectively coupled.

Study on the Scheduling Problem of Powder Painting Production - A Case Study

2010 ◽  
Vol 97-101 ◽  
pp. 2459-2464
Author(s):  
Zhang Yong Hu ◽  
Qiang Su ◽  
Jun Liu ◽  
Hai Xia Yang
Keyword(s):  
Large Scale ◽  
Production Efficiency ◽  
Production Performance ◽  
Mixed Integer ◽  
Scheduling Problem ◽  
Adaptive Search ◽  
Optimal Sequence ◽  
Integer Nonlinear Programming ◽  
Minlp Model

A large-scale powder-painting scheduling problem is explored. The purpose is to find out the optimal sequence of a number of batches that dynamically arrive from upstream processes within a given scheduling horizon. The objective is to enhance the production efficiency and decrease the production cost as well. To solve this problem, a mixed integer nonlinear programming (MINLP) model is constructed and an algorithm called greedy randomized adaptive search procedure (GRASP) is designed. Case studies demonstrate that the proposed approach can improve the production performance significantly.

scholarly journals A Review on Gas Well Optimization Using Production Performance Models—A Case Study of Horizontal Well

2018 ◽  
Vol 03 (01) ◽  
pp. 57-67
Author(s):  
Kevin C. Igwilo ◽  
Emeka Emmanuel Okoro ◽  
Anthony Afam Nwude ◽  
Angela Onose Mamudu ◽  
Charles Y. Onuh
Keyword(s):  
Horizontal Well ◽  
Production Performance ◽  
Performance Models ◽  
Gas Well

scholarly journals The simulation of production performance – a case study

2018 ◽  
Vol 19 (12) ◽  
pp. 896-902
Author(s):  
Karina Janisz ◽  
Izabela Szczurek
Keyword(s):  
Computer Simulation ◽  
Production Process ◽  
Repair Time ◽  
Production Performance ◽  
Process Efficiency ◽  
Direct Identification ◽  
Exemplary Model

The article presents the possibilities of using a computer simulation to analyze a selected production process. The research was carried out based on data from the plant producing shaft packages from ready glass molds. The simulation takes into account the availability of machines and the average repair time for individual machines. An exemplary model was presented and various organizational and logistic solutions were analyzed. The conducted simulations allowed for direct identification of areas of increased efficiency. The solution to the highest process efficiency was indicated.

A Novel Workflow for Optimizing Well Placement Under Geomechanical Constraints: A Case Study

2020 ◽  
Vol 143 (3) ◽  
Author(s):  
Cheng An ◽  
Peng Zhang ◽  
Amanveer Wesley ◽  
Gaetan Bardy ◽  
Kevin Hall ◽  
...  
Keyword(s):  
Stress Field ◽  
Three Dimensional ◽  
Production Performance ◽  
Natural Fracture ◽  
Petrophysical Properties ◽  
Reservoir Model ◽  
Differential Stress ◽  
Well Placement ◽  
Flow Simulations

Abstract A novel workflow to optimize well placement using geomechanical constraints is introduced to maximize production performance, reduce excessive simulation runs, and minimize drilling constraints by considering the local stress field and the petrophysical properties in a given reservoir. A case study is presented for optimization of horizontal well placement in the Monterey Formation of Miocene Age in California. First, a three-dimensional reservoir model of formation pressure, in situ stresses, petrophysical and rock properties were built from available petrophysical and well log data. Second, numerical modeling using material point method (MPM) was applied to generate the differential stress field, taking into consideration a three-dimensional natural fracture network in the reservoir model. Third, an optimization algorithm which incorporates petrophysical properties, natural fracture distribution, differential stresses, and mechanical stability was used to identify the best candidate locations for well placement. Finally, flow simulations were conducted to segregate each candidate location where both natural and hydraulic fractures were considered. Statistical methods identify optimal well positions in areas with low differential stress, high porosity, and high permeability. Several candidate locations for well placement were selected and flow simulations were conducted. A comparison of the production performance between the best candidates and other randomly selected well configurations indicates that the workflow can effectively recognize scenarios of optimum well placement. The proposed workflow provides practical insight on well placement optimization by reducing the number of required reservoir simulation runs and maximizing the hydrocarbon recovery.

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