@article{(Open Science Index):https://publications.waset.org/pdf/6911,
	  title     = {Finding Pareto Optimal Front for the Multi-Mode Time, Cost Quality Trade-off in Project Scheduling},
	  author    = {H. Iranmanesh and  M. R. Skandari and  M. Allahverdiloo},
	  country	= {},
	  institution	= {},
	  abstract     = {Project managers are the ultimate responsible for the
overall characteristics of a project, i.e. they should deliver the project
on time with minimum cost and with maximum quality. It is vital for
any manager to decide a trade-off between these conflicting
objectives and they will be benefited of any scientific decision
support tool. Our work will try to determine optimal solutions (rather
than a single optimal solution) from which the project manager will
select his desirable choice to run the project. In this paper, the
problem in project scheduling notated as
(1,T|cpm,disc,mu|curve:quality,time,cost) will be studied. The
problem is multi-objective and the purpose is finding the Pareto
optimal front of time, cost and quality of a project
(curve:quality,time,cost), whose activities belong to a start to finish
activity relationship network (cpm) and they can be done in different
possible modes (mu) which are non-continuous or discrete (disc), and
each mode has a different cost, time and quality . The project is
constrained to a non-renewable resource i.e. money (1,T). Because
the problem is NP-Hard, to solve the problem, a meta-heuristic is
developed based on a version of genetic algorithm specially adapted
to solve multi-objective problems namely FastPGA. A sample project
with 30 activities is generated and then solved by the proposed
method.},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {2},
	  number    = {2},
	  year      = {2008},
	  pages     = {110 - 114},
	  ee        = {https://publications.waset.org/pdf/6911},
	  url   	= {https://publications.waset.org/vol/14},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 14, 2008},
	}