scholarly journals Cost Optimal Project Scheduling

Organizacija ◽  
2008 ◽  
Vol 41 (4) ◽  
pp. 153-158
Author(s):  
Uroš Klanšek ◽  
Mirko Pšunder
Keyword(s):  
Nonlinear Programming ◽  
Objective Function ◽  
Project Scheduling ◽  
Programming Approach ◽  
Project Duration ◽  
Numerical Example ◽  
Activity Duration ◽  
The Cost ◽  
Total Project Cost ◽  
Total Project

Cost Optimal Project SchedulingThis paper presents the cost optimal project scheduling. The optimization was performed by the nonlinear programming approach, NLP. The nonlinear total project cost objective function is subjected to the rigorous system of the activity precedence relationship constraints, the activity duration constraints and the project duration constraints. The set of activity precedence relationship constraints was defined to comprise Finish-to-Start, Start-to-Start, Start-to-Finish and Finish-to-Finish precedence relationships between activities. The activity duration constraints determine relationships between minimum, maximum and possible duration of the project activities. The project duration constraints define the maximum feasible project duration. A numerical example is presented at the end of the paper in order to present the applicability of the proposed approach.

Developing Schedule With Linear Programming (Case Study: STTF II Project Komplek Sukamukti Banjaran)

2020 ◽  
Vol 4 (02) ◽  
pp. 34-45
Author(s):  
Naufal Dzikri Afifi ◽  
Ika Arum Puspita ◽  
Mohammad Deni Akbar
Keyword(s):  
Linear Programming ◽  
Objective Function ◽  
Project Scheduling ◽  
Time Limit ◽  
Minimum Time ◽  
Service Cost ◽  
Trade Off ◽  
Overtime Work ◽  
The Cost

Shift to The Front II Komplek Sukamukti Banjaran Project is one of the projects implemented by one of the companies engaged in telecommunications. In its implementation, each project including Shift to The Front II Komplek Sukamukti Banjaran has a time limit specified in the contract. Project scheduling is an important role in predicting both the cost and time in a project. Every project should be able to complete the project before or just in the time specified in the contract. Delay in a project can be anticipated by accelerating the duration of completion by using the crashing method with the application of linear programming. Linear programming will help iteration in the calculation of crashing because if linear programming not used, iteration will be repeated. The objective function in this scheduling is to minimize the cost. This study aims to find a trade-off between the costs and the minimum time expected to complete this project. The acceleration of the duration of this study was carried out using the addition of 4 hours of overtime work, 3 hours of overtime work, 2 hours of overtime work, and 1 hour of overtime work. The normal time for this project is 35 days with a service fee of Rp. 52,335,690. From the results of the crashing analysis, the alternative chosen is to add 1 hour of overtime to 34 days with a total service cost of Rp. 52,375,492. This acceleration will affect the entire project because there are 33 different locations worked on Shift to The Front II and if all these locations can be accelerated then the duration of completion of the entire project will be effective

Solving Solid Transportation Problems With Multi-Choice Cost and Stochastic Supply and Demand

2018 ◽  
pp. 137-170 ◽  
Author(s):  
Sankar Kumar Roy ◽  
Deshabrata Roy Mahapatra
Keyword(s):  
Stochastic Programming ◽  
Objective Function ◽  
Transportation Problem ◽  
Supply And Demand ◽  
Optimal Solution ◽  
Programming Approach ◽  
Solid Transportation Problem ◽  
New Approach ◽  
Non Linear Programming ◽  
The Cost

In this chapter, the authors propose a new approach to analyze the Solid Transportation Problem (STP). This new approach considers the multi-choice programming into the cost coefficients of objective function and stochastic programming, which is incorporated in three constraints, namely sources, destinations, and capacities constraints, followed by Cauchy's distribution for solid transportation problem. The multi-choice programming and stochastic programming are combined into a solid transportation problem, and this new problem is called Multi-Choice Stochastic Solid Transportation Problem (MCSSTP). The solution concepts behind the MCSSTP are based on a new transformation technique that will select an appropriate choice from a set of multi-choice, which optimize the objective function. The stochastic constraints of STP converts into deterministic constraints by stochastic programming approach. Finally, the authors construct a non-linear programming problem for MCSSTP, and by solving it, they derive an optimal solution of the specified problem. A realistic example on STP is considered to illustrate the methodology.

A multibelief analytic hierarchy process and nonlinear programming approach for diversifying product designs: Smart backpack design as an example

2020 ◽  
Vol 234 (6-7) ◽  
pp. 1044-1056 ◽  
Author(s):  
Yu-Cheng Lin ◽  
Toly Chen
Keyword(s):  
Nonlinear Programming ◽  
Analytic Hierarchy Process ◽  
Programming Model ◽  
Programming Approach ◽  
Analytic Hierarchy ◽  
Nonlinear Programming Model ◽  
Judgment Matrix ◽  
The Cost ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Owing to the cost constraint, it is difficult to incorporate all critical features into a single product design. To deal with this issue, analytic hierarchy process is a well-known method that compares the relative priorities of critical features. This study aims to illustrate that the judgment of a designer can be used to generate multiple diversified product designs. To this end, this study proposed a multibelief analytic hierarchy process and nonlinear programming approach. In the proposed methodology, a decision maker’s judgment matrix is decomposed into several single-belief judgment matrices that are more consistent than the original judgment matrix and represent diversified points of view regarding the relative priorities of factors. To this end, a nonlinear programming model is established and optimized. The proposed methodology was applied to a smart backpack design problem. It was concluded that a designer’s judgment was often inconsistent, which was ignored in the conventional analytic hierarchy process method but could be employed to diversify product designs.

scholarly journals The Analysis of Cost Estimation using Cost Significant Model on Bridge Construction in South Sulawesi

2021 ◽  
Vol 921 (1) ◽  
pp. 012073
Author(s):  
E Aprianti ◽  
S Hamzah ◽  
M A Abdurrahman
Keyword(s):  
Regression Analysis ◽  
Cost Estimation ◽  
Construction Projects ◽  
Steel Frame ◽  
Bridge Construction ◽  
South Sulawesi ◽  
The Cost ◽  
Total Project Cost ◽  
Total Project ◽  
Significant Model

Abstract One of the fundamental problems faced by the province of South Sulawesi is the factor of accessibility, so the role of bridges is quite important. For this reason, the budget planning for standard bridge construction projects also needs to be efficient in terms of preparation and accurate in terms of budget. The Cost Significant Model is one of the total construction cost estimation models that relies more on the prices that have the most influence on the total project cost as the basis for estimation. In general, this study uses data from steel frame bridge construction projects in South Sulawesi Province to formulate a mathematical model with linear regression analysis so that it can be used in the process of estimating similar projects going forward. The Estimation Model which is formed from the regression analysis and the Cost Significant Model in this study, namely; Y = 3.884 (X7) + 0.989 (X8) - 65515.372. With; Y = Estimated Total Cost (Rp/m); X7 = Reinforcement Work Cost (Rp/m); X8 = Steel Frame Structure Work Cost (Rp/m). Where this model can explain 99.7% of the total project cost with a cost model factor of 1.038. The level of accuracy (percentage error estimate) of the estimation results of the Cost Significant Model in this study ranges from - 1.46% to +2.45%.

scholarly journals Elemental geochemistry of the Upper Cretaceous reservoir and surrounding formations applied in geosteering of horizontal wells, Lebăda Field – Western Black Sea

2020 ◽  
Vol 76 ◽  
pp. 1
Author(s):  
Ionuţ Mihai Prundeanu ◽  
Ciprian Chelariu ◽  
David Rafael Contreras Perez
Keyword(s):  
Horizontal Wells ◽  
Cost Effective ◽  
Geochemical Data ◽  
Elemental Geochemistry ◽  
Solid Foundation ◽  
A New Technique ◽  
The Cost ◽  
Mineral Concentrations ◽  
Total Project Cost ◽  
Total Project

The precise landing and steering of horizontal wells using conventional mudlogging and Logging While Drilling (LWD) data is a particular challenge for the Lebăda Field, offshore Romania. The use of a new technique of elemental geochemistry analysis (or chemosteering) became an option for the identification of Cenomanian, Turonian–Coniacian–Santonian, Campanian and Eocene strata. This has enabled more accurate placement of the horizontal development wells within the desired reservoir target interval. Geochemical data enabled the identification of chemostratigraphic zones C1, C2, C3 and zone R that correspond to the reservoir section. The application is a result of the geochemical zonation performed using elements and ratios that are sensitive to depositional environment, sea level change, heavy mineral concentrations and siliciclastic input namely: Sr/Ca, Zr/Th, Si/Zr and Si/K. In ascending stratigraphic order, the ratio thresholds of zone C3 are Zr/Th > 11, Sr/Ca > 1.1, Si/Zr < 22 and Si/K < 19, while zone R corresponds to 5.5 < Zr/Th < 11, Sr/Ca < 1.1, Si/Zr > 22 and Si/K > 19. C2 zone is defined by Zr/Th < 5.5, Sr/Ca > 1.1, Si/Zr < 22 and Si/K < 19 and C1 zone is characterized by Si/Zr > 22 and Si/K > 19. The selected geochemical ratios indicate a strong geochemical zonation. In the case of offset wells, 85.9% of the data confirmed the proposed classification and 89.4% for the real-time application case. The zone R shows a strong contrast with the surrounding formations facilitating critical decisions during well placement and geosteering, increasing the reservoir exposure by 28%. The quantitative approach delivered very valuable results, providing a solid foundation to define correlation and well landing intervals. Simultaneously, the cost of the method represents a fraction of the LWD cost and 0.15% of the total project cost, making it very cost effective and a standard approach for future projects.

scholarly journals Optimasi Biaya dan Waktu Proyek Konstruksi dengan Lembur dan Penambahan Tenaga Kerja

2021 ◽  
Vol 17 (1) ◽  
pp. 35-46
Author(s):  
Dinda Fardila ◽  
Nuur Robbyatul Adawyah
Keyword(s):  
Data Analysis ◽  
Cost Efficiency ◽  
Time Cost ◽  
Optimum Time ◽  
Time Efficiency ◽  
Project Cost ◽  
Trade Off ◽  
The Cost ◽  
Total Project Cost ◽  
Total Project

ABSTRACT                                                                         In the construction of a construction project, there are three main elements: time efficiency, minimal costs, and appropriate quality. This study aims to calculate changes in the cost and time of project implementation with variations in overtime and additional workforce. Data analysis using Microsoft Project 2010 program and Time-Cost Trade-Off method. The results of this study indicate that (1) the optimum time and costs due to overtime are obtained at the project age of 235 working days with a total project cost of IDR 8,438,038,832 with a project time efficiency of 5 days (2.13%) and a project cost efficiency of IDR 3.559,695 (0.042%). (2) The optimum time and cost due to the addition of labor is the best choice with the results obtained at the project age of 226 working days with a total project cost of IDR 8,429,832,759 with a project time efficiency of 14 days (6.19%) and cost-efficiency. project amounting to Rp. 11,779,674 (0.14%). ABSTRAKDalam pelaksanaan pembangunan suatu proyek konstruksi, terdapat tiga unsur utama yaitu waktu yang efisien, biaya minimal dan mutu yang sesuai. Tujuan dari penelitian ini adalah menghitung perubahan biaya dan waktu pelaksanaan proyek dengan variasi lembur dan penambahan tenaga kerja. Analisis data menggunakan program Microsoft Project 2010 dan metode Time Cost Trade Off. Hasil penelitian ini menunjukkan bahwa (1) Waktu dan biaya optimum akibat lembur didapat pada umur proyek 235 hari kerja dengan total biaya proyek sebesar Rp8.438.038.832 dengan efisiensi waktu proyek sebanyak 5 hari (2,13%) dan efisiensi biaya proyek sebesar Rp3.559.695 (0,042%). (2) Waktu dan biaya optimum akibat penambahan tenaga kerja menjadi pilihan terbaik dengan hasil yang didapat pada umur proyek 226 hari kerja dengan total biaya proyek sebesar Rp8.429.832.759 dengan efisiensi waktu proyek sebanyak 14 hari (6,19%) dan efisiensi biaya proyek sebesar Rp11.779.674 (0,14%).

The Project Scheduling Game (PSG): Simulating Time/Cost Trade-Offs in Projects

2005 ◽  
Vol 36 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Mario Vanhoucke ◽  
Ann Vereecke ◽  
Paul Gemmel
Keyword(s):  
Project Scheduling ◽  
Critical Path ◽  
Real Life ◽  
Network Activity ◽  
Simulation Game ◽  
Time Cost ◽  
Life Project ◽  
Trade Offs ◽  
Total Project Cost ◽  
Total Project

The Project Scheduling Game is an IT-supported simulation game that illustrates the complexity of scheduling a real-life project. The project is based on a sequence of activities for a large real-life project at the Vlaamse Maatschappij voor Watervoorziening, which aims at the expansion of the capacity to produce purified water. The basic problem type that we use in the game has been described in the literature as a CPM (critical path method) network problem, and focuses on the time/cost relationship in each activity of the project. Indeed, by allocating resources to a particular activity, the manager decides about the duration and corresponding cost of each network activity. The manager schedules the project with the negotiated project deadline in mind, focusing on the minimization of the total project cost.

Minimum Mass Design of Boiler Drums by Nonlinear Programming

1985 ◽  
Vol 107 (1) ◽  
pp. 83-87 ◽  
Author(s):  
J. Kowalski
Keyword(s):  
Mathematical Modeling ◽  
Nonlinear Programming ◽  
Objective Function ◽  
Optimum Design ◽  
Optimization Problem ◽  
Systems Approach ◽  
Dimensional Space ◽  
Minimum Mass ◽  
Design Features ◽  
Numerical Example

Based on the systems approach to mathematical modeling, the paper shows the method for selecting the optimum design features of boiler drums with a given structure for minimum mass. The optimization problem is reduced to finding the minimum of the objective function in a 10-dimensional space bounded by 11 constraints. The numerical example has been presented.

scholarly journals Benchmarking Characteristics of Steam Assisted Gravity Drainage (SAGD) Projects: Based On Interview Findings

2015 ◽  
Vol 3 (2) ◽  
pp. 1 ◽  
Author(s):  
Elias Ikpe ◽  
Jatinder Kumar ◽  
George Jergeas
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gravity Drainage ◽  
Gas Industry ◽  
Project Duration ◽  
Steam Assisted Gravity Drainage ◽  
Qualitative Research Methodology ◽  
Definition Of ◽  
Total Project Cost ◽  
Total Project

SAGD is a relatively new method of oil extraction and recovery in Alberta oil and gas industry and the number of new SAGD plants in Alberta is expected to increase within this decade. The paper discusses the interviews finding of benchmarking characteristics of the SAGD projects. The research reviewed and analysed definition of capacity, main features, life cycle/ phases of SAGD projects and also major risks associated with it. A qualitative research methodology was employed in investigating the characteristics of SAGD projects. Interviews were conducted with industry practitioners, which contained open-ended questions. The result found the definition of capacity of SAGD projects is barrels/day and from the lifecycle of SAGD projects procurement/cosntruction phase is 75% of the total project cost while other phase in total constiutues the 25% of the total cost of the project. On the schedule prospective, procurement/construction phase constitute the 55% of the total project duration. This method has the potential to contribute to a reduction in cost and schedule overruns and improves SAGD project performance. It is concluded that the results of the study will help in achieving a higher rate of productivity in the Alberta oil and gas industry.

Solving Solid Transportation Problem with Multi-Choice Cost and Stochastic Supply and Demand

2014 ◽  
Vol 5 (3) ◽  
pp. 1-26 ◽  
Author(s):  
Sankar Kumar Roy ◽  
Deshabrata Roy Mahapatra
Keyword(s):  
Stochastic Programming ◽  
Objective Function ◽  
Transportation Problem ◽  
Supply And Demand ◽  
Optimal Solution ◽  
Programming Approach ◽  
Solid Transportation Problem ◽  
New Approach ◽  
Non Linear Programming ◽  
The Cost

This paper proposes a new approach to analyze the solid transportation problem (STP). This new approach considers the multi-choice programming into the cost coefficients of objective function and stochastic programming which is incorporated in three constraints namely sources, destinations and capacities constraints followed by Cauchy's distribution for solid transportation problem. The multi-choice programming and stochastic programming are combined into solid transportation problem and this new problem is called multi-choice stochastic solid transportation problem (MCSSTP). The solution concepts behind the MCSSTP are based on a new transformation technique which will select an appropriate choice from a set of multi-choice which optimizes the objective function. The stochastic constraints of STP convert into deterministic constraints by stochastic programming approach. Finally, the authors have constructed a non-linear programming problem for MCSSTP and have derived an optimal solution of the specified problem. A realistic example on STP is considered to illustrate the methodology.

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