[PDF] Dynamic Models Of Detailed And Aggregate Production Networks eBook

Author : Michael Mizrach
Publisher :
Page : 220 pages
File Size : 32,66 MB
Release : 1985
Category :
ISBN :

GET BOOK

A decision support system for the management of a production organization must include an explicit model or models of the production system. When the organization faces a dynamic environment, dynamic models are most appropriate. The document presents dynamic models of production at two levels of details. First, it extends existing activity analysis models for detailed networks to include the common situation of significant, finite processing times at each activity. This extension shows that dynamic activity analysis models require different indexing functions for the application of labor and machine services and for the application of raw materials and intermediate products. It is demonstrated that the improved accuracy of this model is very significant when the typical processing time in the system exceeds the planning time-grid intervals. The importance of this development is in the identification of the underlying assumptions and range of appropriateness of the existing models and in the extension of these models to non-instantaneous production processes. Additional keywords: operations research; scheduling heuristics; dynamic linear activity analysis; models; mathematical programming; industrial engineering.

Author : Dieter Armbruster
Publisher : Springer Science & Business Media
Page : 308 pages
File Size : 20,77 MB
Release : 2012-03-05
Category : Business & Economics
ISBN : 0857296442

GET BOOK

The financial results of any manufacturing company can be dramatically impacted by the repetitive decisions required to control a complex production network be it a network of machines in a factory; a network of factories in a company; or a network of companies in a supply chain. Decision Policies for Production Networks presents recent convergent research on developing policies for operating production networks including details of practical control and decision techniques which can be applied to improve the effectiveness and economic efficiency of production networks worldwide. Researchers and practitioners come together to explore a wide variety of approaches to a range of topics including: WIP and equipment management policies, Material release policies, Machine, factory, and supply chain network policies for delivery in the face of supply and demand variability, and Conflicts between complex production network models and their controlling policies. Case studies and relevant mathematical techniques are included to support and explain techniques such as heuristics, global and hierarchical optimization, control theory and filtering approaches related to complex systems or traffic flows. Decision Policies for Production Networks acts as handbook for researchers and practitioners alike, providing findings and information which can be applied to develop methods and advance further research across production networks.

Author : Olivér Miklós Rácz
Publisher :
Page : 0 pages
File Size : 22,86 MB
Release : 2023
Category :
ISBN :

GET BOOK

There is growing evidence of producer-level idiosyncratic shocks affecting macroeconomic aggregates as they are propagated and amplified by input-output linkages, which are also known as the production network. Most of the recent models assume that this shock-propagation is instantaneous, however, in their seminal model, Long, and Plosser (1983) assumed it to be dynamic. In their model it can be characterized by the textit{average propagation time}: the time it takes for an input supplier to pass on the effect of a shock to its direct customers.This paper is the first attempt to quantify the average propagation time of an economy by the structural estimation of a prediction by Long and Plosser (1983) that connects industry-level idiosyncratic TFP shocks to industry output by the production network. The estimation is carried out on annual data series of 66 industries of the US economy between 1997 and 2020. Preliminary findings suggest that the average propagation time for TFP shocks was around 6 months in past decades and became shorter (4 months) after the Great Recession. These results suggest that the propagation of TFP shocks stretches beyond the horizon of one year in just 2-3 propagation steps generating a correlation between subsequent annual GDP observations. Thus the network propagation of TFP shocks might explain aggregate dynamics. Based on simple calculations network propagation of TFP shocks can account for 85 % of the first-order auto-correlation of annual GDP in the US. These results also suggest the potential for optimally timed industry-level interventions during a recession.

Author :
Publisher :
Page : 560 pages
File Size : 11,28 MB
Release : 1991
Category : Electronic journals
ISBN :

GET BOOK

Covers all aspects of OR including computing and decision technology; environment, energy and natural resources; financial services; logistics and supply chain operations; manufacturing operations; optimization; public and military services; simulation; stochastic models; telecommunications; and transportation.

Author : Hans-Jörg Kreowski
Publisher : Springer Science & Business Media
Page : 564 pages
File Size : 28,7 MB
Release : 2013-03-28
Category : Technology & Engineering
ISBN : 3642359663

GET BOOK

The volume comprises the proceedings of the third International Conference on Dynamics in Logistics LDIC 2012. The scope of the conference targeted the identification, analysis, and description of the dynamics of logistic processes and networks. The spectrum ranged from the modeling and planning of processes and innovative methods like autonomous control and knowledge management to the new technologies provided by radio frequency identification, mobile communication, and networking. The growing dynamics in the area of logistics poses completely new challenges: Logistic processes and networks must rapidly and flexibly adapt to continuously changing conditions. LDIC 2012 provided a venue for researchers from academia and industry interested in the technical advances in dynamics in logistics. The conference addressed research in logistics from a wide range of fields, e.g. engineering, computer science and operations research. The volume consists of two invited papers and of 49 contributed papers divided into various subjects including transport logistics, routing in dynamic logistic networks, modeling, simulation, optimization and collaboration in logistics, identification technologies, mathematical modeling in transport and production logistics, information, communication, risk and failure in logistic systems, autonomous control in logistic processes, global supply chains and industrial applications, and the Internet of Things in the context of logistics.

Author : Paolo Brandimarte
Publisher : Springer Science & Business Media
Page : 221 pages
File Size : 33,58 MB
Release : 2013-03-09
Category : Technology & Engineering
ISBN : 3662038536

GET BOOK

Advanced modeling techniques are a necessary tool in order to design and manage manufacturing systems effectively. This book contains a set of tutorial chapters on topics ranging from aggregate production planning to real time control, including predictive and reactive scheduling, flow management in assembly systems, simulation of robotic cells, design of manufacturing systems under uncertainty and a historical perspective on production management philosophies. The book will be of interest both to researchers and practitioners, including graduate students in Manufacturing Engineering and Operations Research.

Author : Xiao Yang
Publisher :
Page : 0 pages
File Size : 49,11 MB
Release : 2021
Category :
ISBN :

GET BOOK

This paper develops a tractable model of dynamic network formation with heterogeneous forward-looking agents. The model bridges the gap between recent Macroeconomic models with exogenous production networks and static econometric models of networks formation games. I model network formation as a sequence of Bayesian incomplete information games in which the dynamic state dependencies of agents' strategies are Markov. This feature of aggregate state dependence allows me to investigate the role of network externality through a global interaction channel. I characterize the Bayesian Markov Perfect symmetric equilibrium by a set of fixed-point equations in conditional choice probabilities. I motivate this approach by developing a second-stage general equilibrium model of production networks in an open economy. This second stage model provides the payoff structure for the network formation and relevant Markov sufficient statistics. I propose a simple two-step maximum likelihood estimator and develop its asymptotic properties for a single large network. I apply this model to US input-output data. In counterfactual experiments, I find that network externality is quantitatively important for endogenous network formation. Furthermore, negative network externality provides an alternative explanation for network persistence. In an extension, I show how endogenous entry and exit of nodes be can jointly be formulated with endogenous network formation.

Author : Robert C. Leachman
Publisher :
Page : 172 pages
File Size : 33,32 MB
Release : 1982
Category : Production scheduling
ISBN :

GET BOOK

A new approach is presented for the problem of allocating labor resources among ship overhaul projects in a shipyard. It is based on a management-level model of project execution, which describes the alternative distributions of labor use over the life of a project. The model consists of a network of major project components called aggregate activities. It includes mathematical constraints which ensure that activities operate consistently with each other. The analysis of data on a large overhaul provided valuable insight for construction of the model. A linear program (LP) is used to dynamically allocate labor resource capacities among projects. The LP formulation allows the impact of alternative allocations and capacities to be studied. Plans for future projects can be evaluated under various assumptions. Problems of realistic size are readily handled by existing computer packages. The aggregate model of project execution is proposed as an effective tool for planning of multi-project resource use. Although the model was developed in the context of shipyard planning, it is believed to be equally applicable to other repetitive construction industries, for example, aircraft or radar systems manufacturing. It provides a link between resource planning and detailed project planning. As such, it can improve management's control over project performance and labor productivity.

Author : Naoki Masuda
Publisher : Springer Nature
Page : 270 pages
File Size : 18,98 MB
Release : 2020-01-19
Category : Science
ISBN : 3030389650

GET BOOK

This volume constitutes the proceedings of NetSci-X 2020: the Sixth International School and Conference on Network Science, which was held in Tokyo, Japan, in January 2020. NetSci-X is the Network Science Society’s winter conference series that covers a wide variety of interdisciplinary topics on networks. Participants come from various fields, including (but not limited to): mathematics, physics, computer science, social sciences, management and marketing sciences, organization science, communication science, systems science, biology, ecology, neuroscience, medicine, as well as business. This volume consists of contributed papers that have been accepted to NetSc-X 2020 through a rigorous peer review process. Researchers, students, and professionals will gain first-hand information about today’s cutting-edge research frontier of network science.