Parts: I. Basic Deterministic Models. 1. An algorithm for a general class of precedence and resource constrained scheduling problems (J.H. Patterson et al.). 2. The order-theoretic approach to scheduling - the deterministic case (R.H. Möhring, F.J. Radermacher). 3. Evaluation of resource allocations in project scheduling (G. Harhalakis). 4. Resource allocation and multi-project scheduling (R.L. Daniels). 5. Heuristic algorithms for resource-constrained project scheduling: a review and an empirical analysis (R. Alvarez-Valdés Olaguibel, J.M. Tamarit Goerlich). 6. Constraint-satisfaction problems in project scheduling (G. Schmidt). 7. Multiobjective project scheduling under multiple-category resource constraints (R. Słowiński). II. Special Deterministic Models. 1. Graph-theoretical models for preemptive scheduling (D. de Werra). 2. Scheduling under financial constraints (J. Carlier). 3. Scheduling independent fixed-type tasks (J. Błazewic et al.). 4. An approach for real time scheduling of activities with time and resource constraints (J. Erschler, F. Roubellat). 5. Scheduling under continuous performing speed vs. resource amount activity models (J. Weglarz). 6. Allocation of resources in tree networks (W. Czuchra). 7. A multi-stage model for project scheduling under resource constraints (L. Valadares Tavares). 8. Resource allocation in a network model - the LEINET system (G. Naegler, S. Schoenherr). 9. The use of project scheduling for the manufacture of custom made products (G. Harhalakis). III. Stochastic Models. 1. The estimation of some network parameters in the PERT model of activity networks: review and critique (S.E. Elmaghraby). 2. PERT networks under incomplete probabilistic information (J. Kamburowski). 3. Scheduling of stochastic projects by means of GERT networks (K. Neumann). 4. The order-theoretic approach to scheduling - the stochastic case (R.H. Mö
This multi-author volume, containing contributions from international experts in the field, presents recent developments in project scheduling for both theory and practice. It is organized in three parts: I. Basic deterministic models; II. Special deterministic models; III. Stochastic models. A variety of approaches is presented dealing with multiple-category resource constraints, different mathematical models of activities, and various project performance measures in single and multiobjective formulation. Exact and heuristic algorithms are presented for both deterministic and stochastic project description.
The volume will be of special interest to scientists, students, decision makers, executive managers, consultants and practitioners involved in systems management or operations research, in particular in business, engineering, and finance, but also in other areas of pure and applied sciences.
- © North Holland 1989
- 1st June 1989
- North Holland
- eBook ISBN:
@qu:...the book is a must for experts involved in research, and a may for decision makers involved in practice. @source:European Journal of Operational Research