Disorder considerations in resource-constrained scheduling

被引:6
作者
Christodoulou, Symeon E. [1 ]
Ellinas, Georgios N. [2 ]
Aslani, Pooyan [3 ]
机构
[1] Univ Cyprus, Dept Civil & Environm Engn, 75 Kallipoleos St,POB 20537, CY-1678 Nicosia, Cyprus
[2] Univ Cyprus, Dept Elect & Comp Engn, Nicosia, Cyprus
[3] Polytech Univ, Dept Civil Engn, Brooklyn, NY 11201 USA
关键词
Resource allocation; resource-constrained scheduling; project planning; entropy;
D O I
10.1080/01446190802635416
中图分类号
F [经济];
学科分类号
02 ;
摘要
A method is presented for allocating resources to construction activities and for scheduling construction projects under resource constraints by considering the effects that such resource limitations may have on the tendency of the activities (and the project in general) to fall into disarray and behind schedule. Resource constrained scheduling problems (RCSP) are very common in real-life construction projects and because of their nature their numerical solution is computationally intensive. The method utilizes a measure of each activity's perceived level of disorder stemming from resource limitations. The proposed technique aims to optimize the number of resources assigned to the activities and to schedule the project so as to minimize the overall project's tendency to fall into disorder. The entropy-like metric used in the scheduling optimization is related to the ratio of required over-assigned resource units per activity, and its utilization allows a planner to take into consideration project disorder when planning a project. A case study and its mathematical framework help demonstrate the 'duration vs. disorder' trade-off analysis that planners should perform when considering possible activity resource assignments and the feasibility of these assignments in terms of induced disorder. The entropy optimization method proves to be a powerful project-planning metric.
引用
收藏
页码:229 / 240
页数:12
相关论文
共 24 条
[1]   Formalization and automation of time-space conflict analysis [J].
Akinci, B ;
Fischen, M ;
Levitt, R ;
Carlson, R .
JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2002, 16 (02) :124-134
[2]  
Aslani P., 2007, THESIS
[3]   A branch and bound algorithm for the resource-constrained project scheduling problem [J].
Brucker, P ;
Knust, S ;
Schoo, A ;
Thiele, O .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1998, 107 (02) :272-288
[4]   Lower bounds for resource-constrained project scheduling problems [J].
Brucker, P ;
Knust, S .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2003, 149 (02) :302-313
[5]   ADVANCES IN CRITICAL PATH METHODS [J].
CARRUTHERS, JA ;
BATTERSBY, A .
OPERATIONAL RESEARCH QUARTERLY, 1966, 17 (04) :359-+
[6]   Long-Term Entropy and Profitability Change of United States Public Construction Firms [J].
Choi, Jongsoo ;
Russell, Jeffrey S. .
JOURNAL OF MANAGEMENT IN ENGINEERING, 2005, 21 (01) :17-26
[7]  
Christodoulou S., 2005, ASCE INT C COMP CIV
[8]  
Christodoulou S., 2007, 9 INT C APPL ART INT
[9]  
Colak S, 2006, INT SER OPER RES MAN, V92, P297, DOI 10.1007/978-0-387-33768-5_12
[10]  
Crawford J., 1996, P 1996 AI MAN RES PL