Flowshop scheduling of construction processes with uncertain parameters

Bożejko, Wojciech; Hejducki, Zdzisław; Wodecki, Mieczysław

doi:10.1016/j.acme.2018.09.010

Cited by 23 publications

(6 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There exist a particular research gap in methods intended for repetitive construction projects, with isolated examples of studies focused on dynamic rescheduling [32], or the search for optimal sequencing of work plots to increase schedule stability [33]. As the majority of construction projects involve repetitive processes, and the construction activities are susceptible to the highly volatile execution conditions, there is a call for better scheduling methods, and this paper is attempting to answer this call.…”

Section: Risk-aware Scheduling Conceptsmentioning

confidence: 99%

Proactive-reactive repetitive project scheduling method – the concept of risk consideration at the project planning and execution stage

2023

Archives of Civil Engineering

View full text Add to dashboard Cite

The construction contractor is concerned with reducing the cost of the project, including reducing unnecessary downtime. This is achieved when resources are fully utilized; this means the crews work continuously moving without interruption from one location to the other. However, any disturbance in the optimally scheduled workflow caused by random events is likely to result in delays, interruptions in the crews work, and productivity losses. There is therefore a need for scheduling methods that allow plans to be more resilient to disruptions and ensure a reduction in downtime and implementation costs. The authors put forward a proactive-reactive approach to the schedule risk management. Proposed method makes it possible to protect schedule deadlines from the impact of risk factors by allocating time buffers (proactive approach). It also takes into account the measures that managers take during execution in response to delays that occur, such as changing construction methods, employing extra resources, or working overtime (reactive approach). It combines both ideas and is based on project simulation technique. The merits of the proposed approach are illustrated by a case of a repetitive project to erect a number of buildings. The presented example proves that the proposed method enables the planner to estimate the scale of delays of processes' start and consider the impact of measures to reduce duration of processes in particular locations taken in reaction to delays. Thus, it is possible to determine the optimal schedule, at which the costs of losses associated with delays and downtime are minimal.

show abstract

Section: Risk-aware Scheduling Conceptsmentioning

confidence: 99%

Proactive-reactive repetitive project scheduling method – the concept of risk consideration at the project planning and execution stage

2023

Archives of Civil Engineering

View full text Add to dashboard Cite

show abstract

“…To describe and solve such problems, we can use the flow shop theory of scheduling [32]. Research on the problem of multi-unit projects scheduling is focusing mainly on the improvement of current optimization models and improvement of optimization methods [33][34][35][36][37]. In [33], the problem of scheduling with minimization of penalties for exceeding the project's objects completion deadlines is considered and solved by the metaheuristic scatter search algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The optimization criterion is the minimization of the project duration. In the article [35], the NP-difficult problem of scheduling a construction project was considered with the criterion of the sum of penalties for exceeding the deadline for building construction. The parameters of this project were represented by fuzzy numbers or random variables with a normal distribution or the Erlang distribution.…”

Section: Literature Reviewmentioning

confidence: 99%

Profit optimization for multi-mode repetitive construction project with cash flows using metaheuristics

Sroka

Rosłon

Podolski

et al. 2021

Archiv.Civ.Mech.Eng

View full text Add to dashboard Cite

The article presents the profit optimization model for multi-unit construction projects. Such projects constitute a special case of repetitive projects and are common in residential, commercial, and industrial construction projects. Due to the specific character of construction works, schedules of such projects should take into account many different aspects, including durations and costs of construction works, the possibility of selecting alternative execution modes, and specific restrictions (e.g., deadlines for the completion of units imposed by the investor). To solve the NP-hard problem of choosing the order of units’ construction and the best variants of works, the authors used metaheuristic algorithms (simulated annealing and genetic search). The objective function in the presented optimization model was the total profit of the contractor determined on the basis of the mathematical programming model. This model takes into account monthly cash flows subject to direct and indirect costs, penalties for missing deadlines, costs of work group discontinuities, and borrowing losses. The presented problem is very important for maintaining a good financial condition of the enterprise carrying out construction projects. In the article, an experimental analysis of the proposed method of solving the optimization task was carried out in a model that showed high efficiency in obtaining suboptimal solutions. In addition, the operation of the proposed model has been presented on a calculation example. The results obtained in it are fully satisfying.

show abstract

“…When forecasting the course of investment projects, a construction manager makes decisions regarding their future state [1]. These decisions can be made hypothetically (using a heuristic search) [2], or can be modelled on the basis of previously acquired knowledge (using empirical distributions of variables that are relevant to the actual state) [3,4]. The manager always has a certain level of probability as regards the accuracy of decisions [5,6].…”

Section: Introductionmentioning

confidence: 99%

Forecasting the Course of Cumulative Cost Curves For Different Construction Projects

SZÓSTAK

2023

Civil and Environmental Engineering Reports

View full text Add to dashboard Cite

Planning the course of cumulative cost curves and effectively monitoring the implementation process and the incurred financial outlays are still significant problems in the management of construction projects. This is particularly noticeable during the execution phase of construction works. Therefore, it is worthwhile to correctly determine the shape of the cost curve before starting this stage and to periodically examine its fitting to the scheduled course of the budgeted cost curve, the envelope of cost curves characterised by the best-fit curve. There are many methods of forecasting and estimating the costs of construction works, but they are very often complicated and require the decision-maker to use and elaborate mathematical tools. The aim of the research was to determine the shape and course of the cost curves for selected construction projects. Based on the analysis of the collected data on investment projects in 3 facilities research groups (collective housing, hotels and retail service facilities), an original attempt was made to determine the best fit curve and the area of the curve, which in turn indicates the limits of the correct planning of the cumulative costs of construction projects. The Three Sigma rule was applied, correlations and determinants were determined, and the area of the cost curves was described with a third degree polynomial. The conducted research showed that: 1. the optimal formula for determining the best-fit curve, which allow to determine the cost and time of construction works, is a 3-degree polynomial; 2. cost curves, within a certain bounding box, determine the area of the most likely cash flow; 3. when planning the course of a cost curve, it is advisable to use the bounding box of cost curves rather than a single, model, theoretical, or empirical mathematical expression describing the cost curve.

show abstract

Flowshop scheduling of construction processes with uncertain parameters

Cited by 23 publications

References 19 publications

Proactive-reactive repetitive project scheduling method – the concept of risk consideration at the project planning and execution stage

Proactive-reactive repetitive project scheduling method – the concept of risk consideration at the project planning and execution stage

Profit optimization for multi-mode repetitive construction project with cash flows using metaheuristics

Forecasting the Course of Cumulative Cost Curves For Different Construction Projects

Contact Info

Product

Resources

About