Download or read book Dynamic Optimization in Planning Under Process Model Uncertainty written by Tarun Bhatia and published by . This book was released on 1997 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Planning for multi-product batch plants involves decisions for facility design, product scheduling, inventory control etc. These are usually addressed for recipe based processes with fixed stage processing times. There is significant benefit in incorporating detailed dynamic process models while planning, and addressing the overall problem simultaneously (Bhatia and Biegler [1]). It thus becomes desirable to have sufficiently accurate process models, or develop methods that deal with process model uncertainty. This work addresses dynamic processing and planning decisions simultaneously for multi product batch plants, now with uncertainty in process parameters. Instances of uncertain parameters are used to construct planning scenarios that are addressed through a multiperiod planning formulation. Dynamic processing under uncertainty is addressed via a closed loop state feedback based correction strategy. Control parameters in the closed loop implementation of processing decisions are then determined in an open loop manner, and treated as invariant design variables in the multiperiod problem formulation."
Download or read book Dynamic Model Development Methods Theory and Applications written by S. Macchietto and published by Elsevier. This book was released on 2003-08-04 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detailed mathematical models are increasingly being used by companies to gain competitive advantage through such applications as model-based process design, control and optimization. Thus, building various types of high quality models for processing systems has become a key activity in Process Engineering. This activity involves the use of several methods and techniques including model solution techniques, nonlinear systems identification, model verification and validation, and optimal design of experiments just to name a few. In turn, several issues and open-ended problems arise within these methods, including, for instance, use of higher-order information in establishing parameter estimates, establishing metrics for model credibility, and extending experiment design to the dynamic situation. The material covered in this book is aimed at allowing easier development and full use of detailed and high fidelity models. Potential applications of these techniques in all engineering disciplines are abundant, including applications in chemical kinetics and reaction mechanism elucidation, polymer reaction engineering, and physical properties estimation. On the academic side, the book will serve to generate research ideas. - Contains wide coverage of statistical methods applied to process modelling - Serves as a recent compilation of dynamic model building tools - Presents several examples of applying advanced statistical and modelling methods to real process systems problems
Download or read book Optimization Techniques for Problem Solving in Uncertainty written by Tilahun, Surafel Luleseged and published by IGI Global. This book was released on 2018-06-22 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving. In such cases, there are various theories that can be used to quantify the uncertain aspects. Optimization Techniques for Problem Solving in Uncertainty is a scholarly reference resource that looks at uncertain aspects involved in different disciplines and applications. Featuring coverage on a wide range of topics including uncertain preference, fuzzy multilevel programming, and metaheuristic applications, this book is geared towards engineers, managers, researchers, and post-graduate students seeking emerging research in the field of optimization.
Download or read book Dynamic Optimization Under Uncertainty written by Peter Jason Kalman and published by . This book was released on 1974 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optimization of Integrated Supply Chain Planning under Multiple Uncertainty written by Juping Shao and published by Springer. This book was released on 2015-05-27 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of this book is supply chain logistics planning optimization under multiple uncertainties, the key issue in supply chain management. Focusing on the strategic-alliance three-level supply chain, the model of supply chain logistics planning was established in terms of the market prices and the market requirements as random variables of manufactured goods with random expected value programming theory, and the hybrid intelligence algorithm solution model was designed. Aiming at the decentralized control supply chain, in which the nodes were unlimited expansion, the chance-constrained stochastic programming model was created in order to obtain optimal decision-making at a certain confidence level. In addition, the hybrid intelligence algorithm model was designed to solve the problem of supply chain logistics planning with the prices of the raw-materials supply market of the upstream enterprises and the prices of market demand for products of the downstream enterprises as random variables in the supply chain unit. Aimed at the three-stage mixed control supply chain, a logistics planning model was designed using fuzzy random programming theory with customer demand as fuzzy random variables and a hybrid intelligence algorithm solution was created. The research has significance both in theory and practice. Its theoretical significance is that the research can complement and perfect existing supply chain planning in terms of quantification. Its practical significance is that the results will guide companies in supply chain logistics planning in the uncertain environment.
Download or read book Modeling Uncertainty Processes for Multi Stage Optimization of Strategic Energy Planning written by Frédéric Babonneau and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper deals with the modeling of stochastic processes in long-term multi-stage energy planning problems when little information is available on the degree of uncertainty of such processes. Starting from simple estimates of variation intervals for uncertain parameters, such as energy demands and costs, we model the temporal correlation of these parameters through carefully constructed autoregressive (AR) models that respect the intervals defined in each period. We introduce a coefficient for 'zigzag' effects in the evolution of uncertain processes that controls the correlation across periods and also the likelihood of extreme scenarios. To preserve the convexity of the stochastic problem, we discretize the AR models associated with the cost parameters involved in the objective function by Markov chains. The resulting formulation is then solved with a Stochastic Dual Dynamic Programming (SDDP) algorithm available in the literature that handles finite-state Markov chains. Our numerical experiments, performed on the Swiss energy system, show a very desirable adaptation strategy of investment decisions to uncertainty scenarios, a behavior that is not observed when the temporal correlation is ignored. Moreover, the solutions lead to better out-of-sample cost performances, especially on extreme scenario realizations, than the non-correlated ones which usually yield overcapacities to protect against high, but unlikely, parameter variations over time.
Download or read book Uncertainty aware Integration of Control with Process Operations and Multi parametric Programming Under Global Uncertainty written by Vassilis M. Charitopoulos and published by Springer Nature. This book was released on 2020-02-05 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces models and methodologies that can be employed towards making the Industry 4.0 vision a reality within the process industries, and at the same time investigates the impact of uncertainties in such highly integrated settings. Advances in computing power along with the widespread availability of data have led process industries to consider a new paradigm for automated and more efficient operations. The book presents a theoretically proven optimal solution to multi-parametric linear and mixed-integer linear programs and efficient solutions to problems such as process scheduling and design under global uncertainty. It also proposes a systematic framework for the uncertainty-aware integration of planning, scheduling and control, based on the judicious coupling of reactive and proactive methods. Using these developments, the book demonstrates how the integration of different decision-making layers and their simultaneous optimisation can enhance industrial process operations and their economic resilience in the face of uncertainty.
Download or read book 22nd European Symposium on Computer Aided Process Engineering written by and published by Elsevier. This book was released on 2012-12-10 with total page 1483 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer aided process engineering (CAPE) plays a key design and operations role in the process industries. This conference features presentations by CAPE specialists and addresses strategic planning, supply chain issues and the increasingly important area of sustainability audits. Experts collectively highlight the need for CAPE practitioners to embrace the three components of sustainable development: environmental, social and economic progress and the role of systematic and sophisticated CAPE tools in delivering these goals. - Contributions from the international community of researchers and engineers using computing-based methods in process engineering - Review of the latest developments in process systems engineering - Emphasis on a systems approach in tackling industrial and societal grand challenges
Download or read book Models for Planning Under Uncertainty written by Hercules Vladimirou and published by . This book was released on 1995 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book 11th International Symposium on Process Systems Engineering PSE2012 written by and published by Elsevier. This book was released on 2012-12-31 with total page 1803 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the PSE community continues its focus on understanding, synthesizing, modeling, designing, simulating, analyzing, diagnosing, operating, controlling, managing, and optimizing a host of chemical and related industries using the systems approach, the boundaries of PSE research have expanded considerably over the years. While early PSE research was largely concerned with individual units and plants, the current research spans wide ranges of scales in size (molecules to processing units to plants to global multinational enterprises to global supply chain networks; biological cells to ecological webs) and time (instantaneous molecular interactions to months of plant operation to years of strategic planning). The changes and challenges brought about by increasing globalization and the the common global issues of energy, sustainability, and environment provide the motivation for the theme of PSE2012: Process Systems Engineering and Decision Support for the Flat World. Each theme includes an invited chapter based on the plenary presentation by an eminent academic or industrial researcher Reports on the state-of-the-art advances in the various fields of process systems engineering Addresses common global problems and the research being done to solve them
Download or read book Combined Scheduling and Control written by John D. Hedengren and published by MDPI. This book was released on 2018-04-13 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Combined Scheduling and Control" that was published in Processes
Download or read book Journal of Applied Operational Research written by Kaveh Sheibani and published by ORLAB Analytics. This book was released on 2009-12-31 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are pleased to welcome readers to the first issue of Journal of Applied Operational Research (JAOR), Volume 1, Number 1. The journal reports on developments in all aspects of operational research, including the latest advances and applications. It is a primarily goal of the journal to focus on and publish practical case studies which illustrate real-life applications.
Download or read book Approximate Dynamic Programming for Dynamic Vehicle Routing written by Marlin Wolf Ulmer and published by Springer. This book was released on 2017-04-19 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a straightforward overview for every researcher interested in stochastic dynamic vehicle routing problems (SDVRPs). The book is written for both the applied researcher looking for suitable solution approaches for particular problems as well as for the theoretical researcher looking for effective and efficient methods of stochastic dynamic optimization and approximate dynamic programming (ADP). To this end, the book contains two parts. In the first part, the general methodology required for modeling and approaching SDVRPs is presented. It presents adapted and new, general anticipatory methods of ADP tailored to the needs of dynamic vehicle routing. Since stochastic dynamic optimization is often complex and may not always be intuitive on first glance, the author accompanies the ADP-methodology with illustrative examples from the field of SDVRPs. The second part of this book then depicts the application of the theory to a specific SDVRP. The process starts from the real-world application. The author describes a SDVRP with stochastic customer requests often addressed in the literature, and then shows in detail how this problem can be modeled as a Markov decision process and presents several anticipatory solution approaches based on ADP. In an extensive computational study, he shows the advantages of the presented approaches compared to conventional heuristics. To allow deep insights in the functionality of ADP, he presents a comprehensive analysis of the ADP approaches.
Download or read book 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering written by Wolfgang Marquardt and published by Elsevier. This book was released on 2006-08-02 with total page 1127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book contains the papers presented at the joint conference event of the 9th Symposium on Process Systems Engineering (PSE'2006) and the 16th European Symposium on Computer Aided Process Engineering (ESCAPE-16), held in Garmisch-Partenkirchen, Germany, from July 9 – July 13, 2006. The symposium follows the first joint event PSE'97 / ESCAPE-7 in Trondheim, Norway (1997). The last two venues of the ESCAPE symposia were Barcelona, Spain (2005) and Lisbon, Portugal (2004) and the most recent PSE symposia were held in Kunming, China (2003) and Keystone, Colorado, USA (2000). The purpose of both series is to bring together the international community of researchers engineers who are interested in computing-based methods in process engineering. The main objective of the symposium is to review and present the latest developments and current state in Process Systems Engineering and Computer Aided Process Engineering. The focus of PSE'2006 / ESCAPE-16 has been on Modelling and Numerical Methods, Product and Process Design, Operations and Control, Biological Systems, Infrastructure Systems, and Business decision support.* reviews and presents the latest developments and current state of Process Systems Engineering and Computer Aided Process Engineering * contains papers presented at a joint conference event * bringing together an international community of researchers and engineers interested in computing-based methods in Process Engineering
Download or read book Supply Planning for Processors of Agricultural Raw Materials written by Susanne Wiedenmann and published by Cuvillier Verlag. This book was released on 2013-12-13 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Renewable resources are rapidly gaining importance as alternative raw materials for industrial production. Supply planning with agricultural raw materials poses several challenges to processors. These challenges include seasonal availability, uncertain harvest quality and quantity as well as uncertain commodity market prices. In this work, decision support based on stochastic programming is developed to optimize supply planning of processors of agricultural raw materials given industrial requirements for material use. The approach depicts uncertain parameter values with probability distributions and maximizes the expected profit. Two examples are used to illustrate possible applications: supply planning for a processor of linseed and for a seed company. As stochastic programs can be adapted quickly, this approach can be applied to other supply planning decisions in bio-based supply chains.
Download or read book Planning Stability in Material Requirements Planning Systems written by Gerald Heisig and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: In logistics systems, the issue of planning stability has attracted increased attention and interest in recent years. This is mainly due to an increasing integration of planning systems both within and across companies in supply chain management. The propagation of adjustments in planning systems first acquired wide attention when MRP systems were employed as standard planning tools for material coordination. Within a rolling horizon framework the MRP application produced considerable planning instability which origins from uncertainties in the planner's exogenous environment as well as from endogenous sources. This book presents an analytical investigation that gives deep insight into the influence of different kind of inventory control rules on the stability of material planning systems under stochastic demand in a rolling horizon environment.
Download or read book Supply Chain Optimization Part II written by and published by John Wiley & Sons. This book was released on 2007-11-28 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London, this book includes theoretical developments, algorithms, methodologies and tools in process systems engineering and applications from the chemical, energy, molecular, biomedical and other areas. It spans a whole range of length scales seen in manufacturing industries, from molecular and nanoscale phenomena to enterprise-wide optimization and control. As such, this will appeal to a broad readership, since the topic applies not only to all technical processes but also due to the interdisciplinary expertise required to solve the challenge. The ultimate reference work for years to come.
