• Title/Summary/Keyword: Resource-Constrained Project Scheduling

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A CP-BASED OPTIMIZATION MODEL FOR CONSTRUCTION RESCHEDULING PROBLEMS

  • Shu-Shun Liu;Kuo-Chuan Shih
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.941-946
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    • 2005
  • It is essential for project managers to make schedule adjustment based on their professional experience, in terms of rescheduling action discussed in this paper. This paper discusses the topics of resource-constrained construction rescheduling by modifying the concepts of manufacturing rescheduling. Moreover, the influence factors of construction rescheduling problems are investigated and identified in this paper. According to initial schedule plan and present progress, a new rescheduling mechanism based on Constraint Programming (CP) techniques is developed to reschedule projects with the objective of minimizing total project cost or duration, under three rescheduling policies. Through case study, the behavior of three different rescheduling policies is analyzed and discussed in this paper.

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Optimal Project Duration Estimation Through Enhanced Resource Leveling Technique (개선된 자원 평준화 기법을 활용한 적정 공기산정에 관한 연구)

  • Yoon Yung-Sang;Kim Kyung-Hwan;Kim Jae-Jun
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2004.11a
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    • pp.575-578
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    • 2004
  • Since a construction project is a series of works that utilizes resources to accomplish the project goal for a given time period, efficient resource management is a prerequisite for the success of the project. Two major areas of resource management are resource constrained scheduling focusing on the limited resource availability and resource leveling focusing on smoothing resource usage pattern on the fixed project completion time. It is not available, however, to apply both techniques to a project at the same time. This paper proposes a model to enhance the minimum moment algorithm of resource leveling, aiming to find an efficient usage of resources and an appropriate project completion time. A survey is performed to evaluate the major five factors using the AHP.

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Project Scheduling Problem with Resource Constraints Minimizing Cost (자원비용을 고려한 프로젝트 스케듈링에 관한 연구)

  • 서순근;최종덕
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.14 no.23
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    • pp.19-25
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    • 1991
  • In this paper, constrained resource project scheduling problems schedule project activities subject to finite constraints on the availability of non-storable resource. Further, resources are assumed to be available per period in constant amounts, and are also demanded by an activity in constant amounts throughout the duration of the activity. We describe formulation which minimizes the combined cost of fluctuations in resource demand and delay of project completion. Cost bounding procedures are augmented by dominance relationships presented as theorems. This paper presents algorithm for solving the problem. And numerical examples are presented. Sensitivity analysis to evaluate the effect of changes of cost efficients is conducted.

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An improved algorithm for the exchange heuristic for solving multi-project multi-resource constrained scheduling with variable-intensity activities

  • Yu, Jai-Keon;Kim, Won-Kyung
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1993.04a
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    • pp.343-352
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    • 1993
  • In this study, a modified algorithm for the exchange heuristic is developed and applied to a resource-constrained scheduling problem. The problem involves multiple projects and multiple resource categories and allows flexible resource allocation to each activity. The objective is to minimize the maximum completion time. The exchange heuristkc is a multiple pass algorithm which makes improvements upon a given initial feasible schedule. Four different modified algorithms are proposed. The original algorithm and the new algorithms were compared through an experimental investigation. All the proposed algorithms reduce the maximum completion time much more effectively than the original algorithm. Especially, one of four proposed algorithms obviously outperforms the other three algorithms. The algorithm of the best performance produces significantly shorter schedules than the original algorithm, though it requires up to three times more computation time. However, in most situations, a reduction in schedule length means a significant reduction in the total cost.

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A SCHEDULING TECHNIQUE FOR MULTIPLE RESOURCE ALLOCATION TO MULTIPLE PROJECTS IN CONSTRUCTION

  • K Ananthanarayanan;Murali Jagannathan
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.201-208
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    • 2011
  • Today's highly competitive construction scenario forces all the major players in the field to take up multiple projects which have put an undue pressure on the resources available within the organization. Under such a situation, there are many instances where in the resource requirement exceeds its availability due to multiple activities (with same resource requirement) which are scheduled to start simultaneously and thus results in the constrained resource becoming a bottleneck of the project. As a consequence of sharing resources, this paper studies the impact on the completion date of two similar projects under two different conditions, the first one resulting in a postponed end date and the second without any postponement. The resource utilization, the possibility of substitution of a resource and its subsequent impact on the deadline of the project is analyzed under these two circumstances. The study is done on a Critical Chain Project Management (CCPM) platform instead of leaving the schedule with a traditional Critical Path Method (CPM) finish, which gives an added advantage of validating the robustness of the emerging CCPM trend in the field of resource management.

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A Looping Population Learning Algorithm for the Makespan/Resource Trade-offs Project Scheduling

  • Fang, Ying-Chieh;Chyu, Chiuh-Cheng
    • Industrial Engineering and Management Systems
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    • v.8 no.3
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    • pp.171-180
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    • 2009
  • Population learning algorithm (PLA) is a population-based method that was inspired by the similarities to the phenomenon of social education process in which a diminishing number of individuals enter an increasing number of learning stages. The study aims to develop a framework that repeatedly applying the PLA to solve the discrete resource constrained project scheduling problem with two objectives: minimizing project makespan and renewable resource availability, which are two most common concerns of management when a project is being executed. The PLA looping framework will provide a number of near Pareto optimal schedules for the management to make a choice. Different improvement schemes and learning procedures are applied at different stages of the process. The process gradually becomes more and more sophisticated and time consuming as there are less and less individuals to be taught. An experiment with ProGen generated instances was conducted, and the results demonstrated that the looping framework using PLA outperforms those using genetic local search, particle swarm optimization with local search, scatter search, as well as biased sampling multi-pass algorithm, in terms of several performance measures of proximity. However, the diversity using spread metric does not reveal any significant difference between these five looping algorithms.

An Exact Solution Method for Finding Nondominated Project Schedules (비열등 프로젝트 일정 탐색)

  • Ahn Tae-Ho;Kim Myung-Kwan;Lee Dong-Yeup
    • Management & Information Systems Review
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    • v.5
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    • pp.287-300
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    • 2000
  • Project Managers want to reduce the cost and the completion time of the project simultaneously. But the project completion time tends to increase as the project cost is reduced, and the project cost has a tendency to increase as the project completion time is reduced. In this paper, the resource constrained project scheduling problem with multiple crashable modes is considered. An exact solution method for finding the efficient solution set and the computational results are introduced.

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Organizational Program Management of Multiple Maintenance Projects Under Fund Constraints (복수 개${\cdot}$보수 프로젝트의 자금제약하 프로그램 관리 - 자원제약 마스터-일정계획을 중심으로 -)

  • Koo Kyo-Jin
    • Korean Journal of Construction Engineering and Management
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    • v.5 no.2 s.18
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    • pp.211-218
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    • 2004
  • In a large owner organization, a program manager of multiple maintenance and remodeling projects has experienced increasing scale and complexity of coordinating the M/R projects with in-house technicians who belong to multiple trade shops. This paper proposes a dual-level hierarchical planning strategy that consists of a program master plan in the long-term horizon and a master construction schedule in an operational scheduling window. A rolling horizon approach to the program master plan is proposed to deal with the external uncertainty of unknown stream of project requests. A resource-constrained scheduling algorithm is developed to generate the master construction schedule in a scheduling window. During development of the algorithm, more emphasis is placed on long-term organizational resource continuity, especially flow management of program constraint resources, than ephemeral events of an individual activity and project. Monte Carlo simulation experiments of three scheduling windows are used to evaluate the relative performance of the proposed scheduling algorithm against three popular scheduling heuristics for resource-constrained multiple projects.

A Genetic Algorithm Application for the Load Balancing of Ship Erection Process (조선 탑재일정의 부하 평준화를 위한 유전 알고리듬)

  • Min, Sang-Gyu;Moon, Chi-Ung;Lee, Min-Woo;Chung, Kuy-Hoon;Park, Ju-Chull
    • IE interfaces
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    • v.13 no.2
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    • pp.225-233
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    • 2000
  • In this paper, we develope a genetic algorithm for the erection scheduling in shipbuilding. Erection, the final manufacturing stage of shipbuilding, involves the landing and joining of blocks at drydock. Since several ships are built simultaneously at the same drydock and they compete with the common constrained production resource such as labor, space, and crane, we should consider both ship-specifics and common resource constraints for the desirable erection scheduling. Ship erection should also satisfy the predetermined dock cycle given from higher level production planning. Thus, erection schedule of a ship can be represented as a PERT/CPM project network with its own deadline. Since production resources are shared, the erection scheduling become the so-called multi-project scheduling problem with limited resources, which can not be solved easily due to the large size of project network. We propose a function as a minimization of load index which represented the load deviation over time horizon considering the yard production strategy. For the optical parameter setting, we tried various experiments. We verified that the proposed approach was effective to deal with the erection scheduling problem in shipbuilding.

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CPM Bar Chart Technique for Construction Scheduling (CPM Bar Chart 기법을 활용한 일정계획)

  • Kim Kyung-Hwan;Kim Soo-Yoo;Kim Jae-Jun
    • Korean Journal of Construction Engineering and Management
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    • v.5 no.5 s.21
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    • pp.135-142
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    • 2004
  • This paper proposes the CPM bar chart (CBC), a hybrid of the bar chart and the critical pad method (CPM). The CBC overcomes shortages of the fenced bar chart, while still keeping advantages. The fence with direction is applied instead of the broken fence, which triggers considerable problems to identify and apply in the fenced bar chart. In addition, the notorious task to find dummy activities is no longer required. Upon the benefits of simplicity in the bar chart and logical work sequence in the CPM network. the CBC provides a relatively easy way to create and understand a schedule, thus improving communication quality between project participants. With the advantages, the CBC can also be effectively applied to various scheduling techniques such as resource constrained scheduling, resource leveling, scheduling with activity split, delay impact analysis, etc.