Abstract
Metode optimizacije imaju veliku važnost pri sužavanju izbora resursa na konacni i pri alokaciji resursa u svim fazama projekata. To se narocito odnosi na složena projektna okruženja gdje je potrebno provesti alokaciju resursa (strojeva) na vise građevinskih projekata u njihovim raznim fazama i prioritetima. U radu se predlaže model koji se zasniva na algoritmu visekriterijske optimizacije i rangiranja scenarija suboptimalnih programa serijskog visekanalnog rada građevinskih strojeva pri konacnom broju strojeva za izbor, te izlucivanje presjeka optimalnih programa i/ili scenarija programa u složenom okruženju.
Highlights
Decision-making for the final choice or narrowing down the choice of construction machinery applicable for a certain construction work is an everyday problem for site managers, as well as for the company management teams [1]
Rogalska et al [5] developed and tested the TCM III algorithm by combining the theory of constraints (TOC), critical chain method (CCM), and critical path method (CPM) in the analysis of relationships between the total duration of projects and the costs incurred on such projects
Based on the form of optimization variables, the Linear Programming (LP) is divided into the integer linear programming (ILP), non-integer linear programming (NILP), and their combination known as the mixed-integer linear programming (MILP) [11]
Summary
Decision-making for the final choice or narrowing down the choice of construction machinery applicable for a certain construction work is an everyday problem for site managers, as well as for the company management teams [1]. Relying exclusively on the experience of engineers is often considered acceptable in such situations but, the responsibility which follows this kind of decision-making is often a subject of subsequent discussions. The optimization should provide an optimum program (solution), and all sub-optimum programs (scenarios) These scenarios should be ranked using the predefined criteria (objective functions of the optimization) in order to enable the right-timed intervention for choosing alternative solutions, in case the optimum program fails or the input parameters change considerably. In this way, the planning takes into account the risk of cancellation of the selected program, and allows for flexible planning of individual projects, and the system as a whole. Areas (sections) of satisfactory sub-optimum programs of individual projects, as well as the overlap of sub-optimum programs of all projects, constitute the pool of solutions for further analysis and final decision-making (Figure 1)
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