|
Showing 1 - 9 of
9 matches in All Departments
From the Preface: This festschrift is devoted to recognize the
career of a man who not only witnessed the growth of operations
research from its inception, but also contributed significantly to
this growth. Dr. Salah E. Elmaghraby received his doctorate degree
from Cornell University in 1958, and since then, his scholarly
contributions have enriched the fields of production planning and
scheduling and project scheduling. This collection of papers is
contributed in his honor by his students, colleagues, and
acquaintances. It offers a tribute to the inspiration received from
his work, and from his guidance and advice over the years, and
recognizes the legacy of his many contributions. Dr. Elmaghraby is
a pioneer in the area of project scheduling (in particular, project
planning and control through network models, for which he coined
the term 'activity networks'.) In his initial work in this area, he
developed an algebra based on signal flow graphs and semi-Markov
processes for analyzing generalized activity networks involving
activities with probabilistic durations. This work led to the
development of what was later known as the Graphical Evaluation and
Review Technique (GERT), and GERT simulation models. He has made
fundamental contributions in determining criticality indices for
activities, in developing methodologies for project compression and
time/cost analysis, and in the use of stochastic and
chance-constrained programming and Petri Nets for the analysis of
activity networks. This volume brings together fourteen
contributions, which can be viewed under the following three main
themes: operations research and its application in production
planning; project scheduling, and production scheduling, inspired
by, and in many cases based on, Dr. Elmaghraby's work in these
areas. The first five chapters are devoted to the first theme,
followed by four chapters each devoted to the other two,
respectively. An additional chapter is devoted to the vulnerability
of multimodal freight systems.
From the Preface: This festschrift is devoted to recognize the
career of a man who not only witnessed the growth of operations
research from its inception, but also contributed significantly to
this growth. Dr. Salah E. Elmaghraby received his doctorate degree
from Cornell University in 1958, and since then, his scholarly
contributions have enriched the fields of production planning and
scheduling and project scheduling. This collection of papers is
contributed in his honor by his students, colleagues, and
acquaintances. It offers a tribute to the inspiration received from
his work, and from his guidance and advice over the years, and
recognizes the legacy of his many contributions. Dr. Elmaghraby is
a pioneer in the area of project scheduling (in particular, project
planning and control through network models, for which he coined
the term 'activity networks'.) In his initial work in this area, he
developed an algebra based on signal flow graphs and semi-Markov
processes for analyzing generalized activity networks involving
activities with probabilistic durations. This work led to the
development of what was later known as the Graphical Evaluation and
Review Technique (GERT), and GERT simulation models. He has made
fundamental contributions in determining criticality indices for
activities, in developing methodologies for project compression and
time/cost analysis, and in the use of stochastic and
chance-constrained programming and Petri Nets for the analysis of
activity networks. This volume brings together fourteen
contributions, which can be viewed under the following three main
themes: operations research and its application in production
planning; project scheduling, and production scheduling, inspired
by, and in many cases based on, Dr. Elmaghraby's work in these
areas. The first five chapters are devoted to the first theme,
followed by four chapters each devoted to the other two,
respectively. An additional chapter is devoted to the vulnerability
of multimodal freight systems.
In two volumes, Planning Production and Inventories in the Extended
Enterprise: A State of the Art Handbook examines production
planning across the extended enterprise against a backdrop of
important gaps between theory and practice. The early chapters
describe the multifaceted nature of production planning problems
and reveal many of the core complexities. The middle chapters
describe recent research on theoretical techniques to manage these
complexities. Accounts of production planning system currently in
use in various industries are included in the later chapters.
Throughout the two volumes there are suggestions on promising
directions for future work focused on closing the gaps. Included in
Volume 1 are papers on the Historical Foundations of Manufacturing
Planning and Control; Advanced Planning and Scheduling Systems;
Sustainable Product Development and Manufacturing; Uncertainty and
Production Planning; Demand Forecasting; Production Capacity; Data
in Production and Supply Chain Planning; Financial Uncertainty in
SC Models; Field Based Research in Production Control;
Collaborative SCM; Sequencing and Coordination in Outsourcing and
Subcontracting Operations; Inventory Management; Pricing, Variety
and Inventory Decisions for Substitutable Items; Perishable and
Aging Inventories; Optimization Models of Production Planning
Problems; Aggregate Modeling of Manufacturing Systems; Robust
Stability Analysis of Decentralized Supply Chains; Simulation in
Production Planning; and Simulation-Optimization in Support of
Tactical and Strategic Enterprise Decisions. Included in Volume 2
are papers on Workload and Lead-Time Considerations under
Uncertainty; Production Planning and Scheduling; Production
Planning Effects on Dynamic Behavior of A Simple Supply Chain;
Supply and Demand in Assemble-to-Order Supply Chains; Quantitative
Risk Assessment in Supply Chains; A Practical Multi-Echelon
Inventory Model with Semiconductor Application; Supplier Managed
Inventory for Custom Items with Long Lead Times; Decentralized
Supply Chain Formation; A Cooperative Game Approach to Procurement
Network Formation; Flexible SC Contracts with Options;
Build-to-Order Meets Global Sourcing for the Auto Industry;
Practical Modeling in Automotive Production; Discrete Event
Simulation Models; Diagnosing and Tuning a Statistical Forecasting
System; Enterprise-Wide SC Planning in Semiconductor and Package
Operations; Production Planning in Plastics; SC Execution Using
Predictive Control; Production Scheduling in The Pharmaceutical
Industry; Computerized Scheduling for Continuous Casting in
Steelmaking; and Multi-Model Production Planning and Scheduling in
an Industrial Environment.
The factory scheduling problem, that of allocating machines to
competing jobs in manufacturing facilities to optimize or at least
improve system performance, is encountered in many different
manufacturing environments. Given the competitive pressures faced
by many companies in today's rapidly changing global markets,
improved factory scheduling should contribute to a flrm's success.
However, even though an extensive body of research on scheduling
models has been in existence for at least the last three decades,
most of the techniques currently in use in industry are relatively
simplistic, and have not made use of this body of knowledge. In
this book we describe a systematic, long-term research effort aimed
at developing effective scheduling algorithms for complex
manufacturing facilities. We focus on a speciflc industrial
context, that of semiconductor manufacturing, and try to combine
knowledge of the physical production system with the methods and
results of scheduling research to develop effective approximate
solution procedures for these problems. The class of methods we
suggest, decomposition methods, constitute a broad family of
heuristic approaches to large, NP-hard scheduling problems which
can be applied in other environments in addition to those studied
in this book.
In two volumes, Planning Production and Inventories in the Extended
Enterprise: A State of the Art Handbook examines production
planning across the extended enterprise against a backdrop of
important gaps between theory and practice. The early chapters
describe the multifaceted nature of production planning problems
and reveal many of the core complexities. The middle chapters
describe recent research on theoretical techniques to manage these
complexities. Accounts of production planning system currently in
use in various industries are included in the later chapters.
Throughout the two volumes there are suggestions on promising
directions for future work focused on closing the gaps.
In two volumes, Planning Production and Inventories in the Extended
Enterprise: A State of the Art Handbook examines production
planning across the extended enterprise against a backdrop of
important gaps between theory and practice. The early chapters
describe the multifaceted nature of production planning problems
and reveal many of the core complexities. The middle chapters
describe recent research on theoretical techniques to manage these
complexities. Accounts of production planning system currently in
use in various industries are included in the later chapters.
Throughout the two volumes there are suggestions on promising
directions for future work focused on closing the gaps. Included in
Volume 1 are papers on the Historical Foundations of Manufacturing
Planning and Control; Advanced Planning and Scheduling Systems;
Sustainable Product Development and Manufacturing; Uncertainty and
Production Planning; Demand Forecasting; Production Capacity; Data
in Production and Supply Chain Planning; Financial Uncertainty in
SC Models; Field Based Research in Production Control;
Collaborative SCM; Sequencing and Coordination in Outsourcing and
Subcontracting Operations; Inventory Management; Pricing, Variety
and Inventory Decisions for Substitutable Items; Perishable and
Aging Inventories; Optimization Models of Production Planning
Problems; Aggregate Modeling of Manufacturing Systems; Robust
Stability Analysis of Decentralized Supply Chains; Simulation in
Production Planning; and Simulation-Optimization in Support of
Tactical and Strategic Enterprise Decisions. Included in Volume 2
are papers on Workload and Lead-Time Considerations under
Uncertainty; Production Planning and Scheduling; Production
Planning Effects on Dynamic Behavior of A Simple Supply Chain;
Supply and Demand in Assemble-to-Order Supply Chains; Quantitative
Risk Assessment in Supply Chains; A Practical Multi-Echelon
Inventory Model with Semiconductor Application; Supplier Managed
Inventory for Custom Items with Long Lead Times; Decentralized
Supply Chain Formation; A Cooperative Game Approach to Procurement
Network Formation; Flexible SC Contracts with Options;
Build-to-Order Meets Global Sourcing for the Auto Industry;
Practical Modeling in Automotive Production; Discrete Event
Simulation Models; Diagnosing and Tuning a Statistical Forecasting
System; Enterprise-Wide SC Planning in Semiconductor and Package
Operations; Production Planning in Plastics; SC Execution Using
Predictive Control; Production Scheduling in The Pharmaceutical
Industry; Computerized Scheduling for Continuous Casting in
Steelmaking; and Multi-Model Production Planning and Scheduling in
an Industrial Environment.
The factory scheduling problem, that of allocating machines to
competing jobs in manufacturing facilities to optimize or at least
improve system performance, is encountered in many different
manufacturing environments. Given the competitive pressures faced
by many companies in today's rapidly changing global markets,
improved factory scheduling should contribute to a flrm's success.
However, even though an extensive body of research on scheduling
models has been in existence for at least the last three decades,
most of the techniques currently in use in industry are relatively
simplistic, and have not made use of this body of knowledge. In
this book we describe a systematic, long-term research effort aimed
at developing effective scheduling algorithms for complex
manufacturing facilities. We focus on a speciflc industrial
context, that of semiconductor manufacturing, and try to combine
knowledge of the physical production system with the methods and
results of scheduling research to develop effective approximate
solution procedures for these problems. The class of methods we
suggest, decomposition methods, constitute a broad family of
heuristic approaches to large, NP-hard scheduling problems which
can be applied in other environments in addition to those studied
in this book.
In two volumes, Planning Production and Inventories in the Extended
Enterprise: A State of the Art Handbook examines production
planning across the extended enterprise against a backdrop of
important gaps between theory and practice. The early chapters
describe the multifaceted nature of production planning problems
and reveal many of the core complexities. The middle chapters
describe recent research on theoretical techniques to manage these
complexities. Accounts of production planning system currently in
use in various industries are included in the later chapters.
Throughout the two volumes there are suggestions on promising
directions for future work focused on closing the gaps.
This book presents a comprehensive overview of recent developments
in production planning. The monograph begins with an introductory
chapter reviewing the need for these production planning models,
that operate by determining time-phased releases of work into the
facility or supply chain, relating these to the Manufacturing
Planning and Control (MPC) and Advanced Planning and Scheduling
(APS) frameworks, that form the basis of most academic research and
industrial practice. The extensive body of work on Workload Control
is also placed in this context, and proves the need for improved
models with a discussion of the difficulties, these approaches
encounter. The next two chapters present a detailed review of the
state of the art in optimization models based on exogenous planned
lead times, and examines the cases where these can take both
integer and fractional values. The difficulties arising in
estimating planned lead times are consistent with factory behavior
which are highlighted, noting that many of these lead to non-convex
optimization models. Attempts to address these difficulties by
iterative multimodel approaches, that combine simulation and
mathematical programming, are also discussed in detail. The next
three chapters of the volume address the set of techniques
developed using clearing functions, which represent the expected
output of a resource in a planning period, as a function of the
expected workload of the resource, during that period. The chapters
on this subject propose a basic optimization model for multiple
products, discuss the difficulties of this model and some possible
solutions. It also reviews prior work, and discuss a number of
alternative formulations of the clearing function concept with
their respective advantages and disadvantages. Applications to lot
sizing decisions and a number of other specific problems are also
described. This volume concludes with an assessment of the state of
the art described in the volume, and several directions for future
work.
|
|