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Project scheduling with resource constraints: A branch and bound approach

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TLDR
A branch and bound algorithm for project scheduling with resource constraints based on the idea of using disjunctive arcs for resolving conflicts that are created whenever sets of activities have to be scheduled whose total resource requirements exceed the resource availabilities in some periods is described.
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This article is published in European Journal of Operational Research.The article was published on 1987-06-01. It has received 387 citations till now. The article focuses on the topics: Branch and cut & Linear programming relaxation.

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Citations
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Resource-constrained project scheduling: Notation, classification, models, and methods

TL;DR: A classification scheme is provided, i.e. a description of the resource environment, the activity characteristics, and the objective function, respectively, which is compatible with machine scheduling and which allows to classify the most important models dealt with so far, and a unifying notation is proposed.

Sequencing and scheduling: algorithms and complexity

TL;DR: This survey focuses on the area of deterministic machine scheduling, and reviews complexity results and optimization and approximation algorithms for problems involving a single machine, parallel machines, open shops, flow shops and job shops.
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PSPLIB - A project scheduling problem library

TL;DR: In this paper, the authors present a set of benchmark instances for the evaluation of solution procedures for single and multi-mode resource-constrained project scheduling problems, which are systematically generated by the standard project generator ProGen.
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Serial and parallel resource-constrained project scheduling methods revisited: Theory and computation

TL;DR: It is shown that the performance-ranking of priority rules does not differ for single-pass scheduling and sampling, that sampling improves the performance of single- pass scheduling significantly, and that the parallel method cannot be generally considered as superior.
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A branch-and-bound procedure for the multiple resource-constrained project scheduling problem

TL;DR: Problems requiring large amounts of computer time using existing approaches for solving this problem type are rapidly solved with the procedure using the dominance rules described, resulting in a significant reduction in the variability in solution times.
References
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Journal ArticleDOI

Validation of subgradient optimization

TL;DR: It is concluded that the “relaxation” procedure for approximately solving a large linear programming problem related to the traveling-salesman problem shows promise for large-scale linear programming.
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Multiproject Scheduling with Limited Resources: A Zero-One Programming Approach

TL;DR: A zero-one 0-1 linear programming formulation of multiproject and job-shop scheduling problems is presented that is more general and computationally tractable than other known formulations.
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A Comparison of Heuristic and Optimum Solutions in Resource-Constrained Project Scheduling

TL;DR: A comparison of eight different heuristic scheduling rules, including those found most effective in previous research on this problem, to find the rules most effective relative to an optimum solution.
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Machine Sequencing Via Disjunctive Graphs: An Implicit Enumeration Algorithm

TL;DR: This paper describes an implicit enumeration procedure that solves the problem by generating a sequence of circuit-free graphs and solving a slightly amended critical-path problem for each graph in the sequence.
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An Algorithm for the Line Balancing Problem

TL;DR: An algorithm, based on finding a shortest route in a finite directed network, is given for the assembly line balancing problem and the algorithm is compared with prior analytical methods of line balancing.
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