On Some Applications of the Fleet Assignment Models for Measurement of Schedule Reliability Performance in Unstable Environment

2019 ◽  
Author(s):  
Andrzej Słodownik ◽  
Mirosław Kowalski ◽  
Józef Żurek
Keyword(s):  
Fleet Assignment ◽  
Unstable Environment ◽  
Schedule Reliability ◽  
Reliability Performance ◽  
Assignment Models

Solving Multi-Criteria Through-Fleet Assignment Models

2003 ◽  
pp. 233-256 ◽  
Author(s):  
Ravindra K. Ahuja ◽  
Jian Liu ◽  
Jon Goodstein ◽  
Amit Mukherjee ◽  
James B. Orlin ◽  
...  
Keyword(s):  
Fleet Assignment ◽  
Assignment Models

Novel approach to deal with demand volatility on fleet assignment models

2018 ◽  
Vol 69 (6) ◽  
pp. 895-904
Author(s):  
Mourad Boudia ◽  
Thierry Delahaye ◽  
Semi Gabteni ◽  
Rodrigo Acuna-Agost
Keyword(s):  
Fleet Assignment ◽  
Novel Approach ◽  
Demand Volatility ◽  
Assignment Models

Simulation Tool for Assignment Models: SIMASI

2014 ◽  
Vol 13 (8) ◽  
pp. 4723-4728
Author(s):  
Pratiksha Saxena ◽  
Smt. Anjali
Keyword(s):  
Optimization Procedure ◽  
Simulation Tool ◽  
Optimization Strategy ◽  
Performance Measurements ◽  
Integrated Simulation ◽  
Assignment Model ◽  
Classical Models ◽  
Simulation Results ◽  
User Friendly ◽  
Assignment Models

In this paper, an integrated simulation optimization model for the assignment problems is developed. An effective algorithm is developed to evaluate and analyze the back-end stored simulation results. This paper proposes simulation tool SIMASI (Simulation of assignment models) to simulate assignment models. SIMASI is a tool which simulates and computes the results of different assignment models. This tool is programmed in DOT.NET and is based on analytical approach to guide optimization strategy. Objective of this paper is to provide a user friendly simulation tool which gives optimized assignment model results. Simulation is carried out by providing the required values of matrix for resource and destination requirements and result is stored in the database for further comparison and study. Result is obtained in terms of the performance measurements of classical models of assignment system. This simulation tool is interfaced with an optimization procedure based on classical models of assignment system. The simulation results are obtained and analyzed rigorously with the help of numerical examples. 

Automated system for work preparation of parts production by sheet stamping

2020 ◽  
pp. 108-114
Author(s):  
L.R. Kashapova ◽  
D.L. Pankratov ◽  
V.G. Shibakov
Keyword(s):  
Deformation Process ◽  
Automated System ◽  
Tool Performance ◽  
Sheet Stamping ◽  
Mechanical And Physical Properties ◽  
Preparation Stage ◽  
Process Reliability ◽  
Recurrent Defects ◽  
Automated Process ◽  
Reliability Performance

The procedure of automated process reliability evaluation is developed in order to prevent recurrent defects in parts manufactured by die stamping. The procedure is based on the analysis of such factors as part design, material, its mechanical and physical properties; equipment parameters, tool performance, etc. The list of reliability factors may vary according to type of operation as deformation process is different for each group of operations. The adjustment of stamping process reliability performance prevents any defects emerging during production of critical parts as early as the work preparation stage.

scholarly journals Strengthening the Innovation Resilience of Polish Manufacturing Firms in Unstable Environments

2021 ◽  
Author(s):  
Anna Wziątek-Kubiak ◽  
Marek Pęczkowski
Keyword(s):  
Public Support ◽  
Probit Model ◽  
Manufacturing Firms ◽  
Community Innovation Survey ◽  
Innovation Activities ◽  
Turbulent Times ◽  
Unstable Environment ◽  
Innovative Resources ◽  
Accuracy Of Prediction ◽  
Second Period

AbstractThis study examines factors that increase resilience in innovation of Polish manufacturing firms in an unstable environment. Organizational resilience in innovation is the ability to continuously perform innovation in a turbulent environment and increase knowledge accumulation. In 2008–2012, Poland did not have crisis itself. Short-term slowdown of the economy was accompanied by a breakdown of innovation activities, with a medium-term effect. Based on the Polish Community Innovation Survey panel data for two periods: the innovation crisis (2008–2010), and the innovation pessimism period (2010–2012), this study shows which innovative resources change the probability of innovation continuity in the second period. In our probit model, we explore 42 factors of innovations. We found that financing, R&D and marketing increased the probability of continuity of innovation, but the influence of financing was the strongest. Persistence in innovation in turbulent times hence requires a change in the structure of innovation resources used. Due to the fact that public support on innovation did not increase the likelihood of the continuity of the innovation, a policy change is required. Reliability of our estimation is confirmed by accuracy of prediction of firms, which was 78.2%.

scholarly journals A Planning Tool for Reliability Assessment of Overhead Distribution Lines in Hybrid AC/DC Grids

2021 ◽  
Vol 13 (11) ◽  
pp. 6099
Author(s):  
Giovanna Adinolfi ◽  
Roberto Ciavarella ◽  
Giorgio Graditi ◽  
Antonio Ricca ◽  
Maria Valenti
Keyword(s):  
Reliability Assessment ◽  
Reliability Function ◽  
Climatic Conditions ◽  
Planning Tool ◽  
Grid Resource ◽  
Distribution Lines ◽  
Ac Networks ◽  
Reliability Performance ◽  
Power Dispatching

Integration of DC grids into AC networks will realize hybrid AC/DC grids, a new energetic paradigm which will become widespread in the future due to the increasing availability of DC-based generators, loads and storage systems. Furthermore, the huge connection of intermittent renewable sources to distribution grids could cause security and congestion issues affecting line behaviour and reliability performance. This paper aims to propose a planning tool for congestion forecasting and reliability assessment of overhead distribution lines. The tool inputs consist of a single line diagram of a real or synthetic grid and a set of 24-h forecasting time series concerning climatic conditions and grid resource operative profiles. The developed approach aims to avoid congestions criticalities, taking advantage of optimal active power dispatching among “congestion-nearby resources”. A case study is analysed to validate the implemented control strategy considering a modified IEEE 14-Bus System with introduction of renewables. The tool also implements reliability prediction formulas to calculate an overhead line reliability function in congested and congestions-avoided conditions. A quantitative evaluation underlines the reliability performance achievable after the congestion strategy action.

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