scholarly journals A Cost Optimization Model for Multiresource Leveling Problem without Project Duration Constraint

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Qingyou Yan ◽  
Qian Zhang ◽  
Xin Zou
Keyword(s):  
Optimization Model ◽  
Cost Optimization ◽  
Resource Usage ◽  
Project Duration ◽  
Resource Demand ◽  
Resource Leveling ◽  
Proposed Model ◽  
Liquidated Damages ◽  
The Relationship

The study of traditional resource leveling problem aims at minimizing the resource usage fluctuations and obtaining sustainable resource supplement, which is accomplished by adjusting noncritical activities within their start and finish time. However, there exist limitations in terms of the traditional resource leveling problem based on the fixed project duration. This paper assumes that the duration can be changed in a certain range and then analyzes the relationship between the scarce resource usage fluctuations and project cost. This paper proposes an optimization model for the multiresource leveling problem. We take into consideration five kinds of cost: the extra hire cost when the resource demand is greater than the resource available amount, the idle cost of resource when the resource available amount is greater than the resource demand, the indirect cost related to the duration, the liquidated damages when the project duration is extended, and the incentive fee when the project duration is reduced. The optimal objective of this model is to minimize the sum of the aforementioned five kinds of cost. Finally, a case study is examined to highlight the characteristic of the proposed model at the end of this paper.

scholarly journals STUDY AND APPLY ACO ALGORITHM IN TIME-COST OPTIMIZATION OF CONSTRUCTION PROJECT

2010 ◽  
Vol 13 (1) ◽  
pp. 17-30
Author(s):  
Luan Hong Pham ◽  
Nhan Thanh Duong
Keyword(s):  
Cost Optimization ◽  
Construction Project ◽  
Heuristic Method ◽  
Ant Colony ◽  
Ant Colony System ◽  
Time Cost ◽  
Project Duration ◽  
Proposed Model ◽  
Feasible Solutions ◽  
Computational Resources

Time-cost optimization problem is one of the most important aspects of construction project management. In order to maximize the return, construction planners would strive to optimize the project duration and cost concurrently. Over the years, many researches have been conducted to model the time-cost relationships; the modeling techniques range from the heuristic method and mathematical approach to genetic algorithm. In this paper, an evolutionary-based optimization algorithm known as ant colony optimization (ACO) is applied to solve the multi-objective time-cost problem. By incorporating with the modified adaptive weight approach (MAWA), the proposed model will find out the most feasible solutions. The concept of the ACO-TCO model is developed by a computer program in the Visual Basic platforms. An example was analyzed to illustrate the capabilities of the proposed model and to compare against GA-based TCO model. The results indicate that ant colony system approach is able to generate better solutions without making the most of computational resources which can provide a useful means to support construction planners and managers in efficiently making better time-cost decisions.

scholarly journals ESTIMATING NORMAL DURATION OF RENOVATION FOR MULTISTORY APARTMENT BUILDING CONSIDERING EXTENSION-TYPE RENOVATION PROJECTS

2019 ◽  
Vol 25 (2) ◽  
pp. 156-167
Author(s):  
Jongsik Yoon ◽  
Ilhan Yu
Keyword(s):  
Critical Path ◽  
Project Control ◽  
Apartment Building ◽  
Project Duration ◽  
Baseline Schedule ◽  
Vertical Extension ◽  
Initial Stage ◽  
Proposed Model ◽  
Normal Duration

Normal (typical) project duration is estimated at the initial stage of a renovation project and is an important reference for project control. However, its estimation has not been researched extensively owing to the complexity and uncertainties of renovation. Thus, a model was developed for predicting the duration of sustainable apartment renovation. Experts were asked to estimate a baseline schedule for extension-type renovation projects, factors that influence critical path activities, and the range of project durations considering these factors. An equation for estimating the duration of a renovation project was developed, and the range of project durations was derived using a MCS to reflect uncertainty. The proposed model was validated by applying it to actual cases. The case study shows that the model would be more suitable for complex renovation construction (i.e., more than two buildings or vertical extension). The model can be applied to various renovation projects and used as a reference for determining contract time. It can fill the knowledge gap of construction duration forecasting by adapting the concept of control activities to simplify the assessment of uncertainties in renovation of apartments, and can be applied for forecasting sustainable renovation time for other project types or in other locations.

scholarly journals An optimization model to solve the resource constrained project scheduling problem RCPSP in new product development projects•

DYNA ◽  
2020 ◽  
Vol 87 (212) ◽  
pp. 179-188 ◽  
Author(s):  
Néstor Raúl Ortíz Pimiento ◽  
Francisco Javier Diaz Serna
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Optimization Model ◽  
New Product ◽  
Development Projects ◽  
Analysis Process ◽  
Proposed Model ◽  
Project Scheduling Problem ◽  
The Impact

New product development projects (NPDP) face different risks that may affect the scheduling. In this article, the purpose was to develop an optimization model to solve the RCPSP in NPDP and obtain a robust baseline for the project. The proposed model includes three stages: the identification of the project’s risks, an estimation of activities’ duration, and the resolution of an integer linear program. Two versions of the model were designed and compared in order to select the best one. The first version uses a method to estimate the activities’ duration based on the expected value of the impact of the risks and the second version uses a method based on the judgmental risk analysis process. Finally, the two version of the model were applied to a case study and the best version of the model was identified using a robustness indicator that analyses the start times of the baselines generated.

scholarly journals Unified Framework for Optimal Routing Choice under Guidance Information

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Zhi-yuan Sun ◽  
Yue Li ◽  
Wen-cong Qu ◽  
Tanveer Muhammad
Keyword(s):  
Big Data ◽  
Optimization Model ◽  
Optimal Routing ◽  
Unified Framework ◽  
Proposed Model ◽  
Travel Mode Choice ◽  
Departure Time Choice ◽  
Method Of Successive Averages ◽  
Guidance Information

In order to satisfy the diverse demand of travel service in the context of big data, this paper puts forward a unified framework for optimal routing choice under guidance information. With consideration of the influence of big data, the scenario analysis of routing choice is implemented, and the routing choice under guidance information is discussed. The optimal routing choice problem is abstracted into the collaboration optimization model of travel route choice, departure time choice, and travel mode choice. Based on some basic assumptions, the collaboration optimization model is formulated as a variational inequality model. The method of successive averages is applied to solve the proposed model. A case study is carried out to verify the applicability and reliability of the model and algorithm.

The resilience strategies of SMEs in mature clusters

2017 ◽  
Vol 11 (1) ◽  
pp. 186-210 ◽  
Author(s):  
Elisa Conz ◽  
Stefano Denicolai ◽  
Antonella Zucchella
Keyword(s):  
Initial Step ◽  
Local System ◽  
Firm Level ◽  
Content Type ◽  
Case Study Analysis ◽  
Match Pair ◽  
Proposed Model ◽  
Pair Method ◽  
The Relationship

Purpose The purpose of this paper, according to the evolutionary perspective of resilience, is to provide a revised adaptive cycle model that explains how organisations that are embedded in a local system can foster their resilience. Design/methodology/approach An exploratory case study analysis was carried out. The study adopted the methods and principles proposed by Eisenhardt (1989). Case studies were selected according the match-pair method and consist of two Italian wineries operating into the same wine cluster. Qualitative and quantitative data were collected and analysed through descriptive statistics and qualitative data analysis techniques. Findings The study proposes a revised model for the resilience strategies of small and medium-sized enterprises (SMEs) which combines firm and cluster level. Findings show that the resilience of SMEs is primarily driven by internal resilience strategies, and their surviving and adapting capacity, from a certain point of the evolutionary cycle, is fostered by internal decisions rather than by the influence of the external environment. Research limitations/implications The study has some limitations. In particular, the exploratory survey does not permit the generalisation of results, and further empirical evidence is required. This research represents an initial step toward the development of a more exhaustive understanding of how the relationship SMEs-cluster can positively or negatively affect the resilience of organisations. Practical implications The proposed model for the resilience strategies of SMEs offers also insights for managers and entrepreneurs. Originality/value This study significantly contributes to theory on resilience in the management field, that is largely related to economic geography, while investigations about the resilience at the firm level are limited and inconclusive.

scholarly journals A Novel E-Commerce Negotiation Optimization Model Based on Improved Genetic Algorithm

2012 ◽  
Vol 6-7 ◽  
pp. 566-570
Author(s):  
Yang Liu
Keyword(s):  
Genetic Algorithm ◽  
Electronic Commerce ◽  
Value Creation ◽  
Optimization Model ◽  
Improved Genetic Algorithm ◽  
Model Based ◽  
Proposed Model ◽  
Business Market ◽  
Major Player ◽  
The Relationship

Electronic commerce has rapidly become a major player in the business market .This paper proposes a new electronic commerce negotiation optimization model based on improved genetic algorithm which depends on not only price, but also other factors of commodity. The proposed model illustrates the relationship between the business components required to support the e-commerce processes with the value creation factor and the controlling complexity. The experiment results show that the proposed algorithm can gain the optimal negotiation result more efficiently than other three kinds of negotiation algorithms in competitive bilateral multi-issue negotiation.

scholarly journals A Queuing Network Based Optimization Model for Calculating Capacity of Subway Station

2017 ◽  
Vol 2017 ◽  
pp. 1-7
Author(s):  
Hanchuan Pan ◽  
Zhigang Liu
Keyword(s):  
Optimization Model ◽  
Subway Station ◽  
Queuing Model ◽  
Selection Probability ◽  
Evaluation Indexes ◽  
State Dependent ◽  
Decision Variables ◽  
Proposed Model ◽  
Shanghai Metro

Capacity of subway station is an important factor to ensure the safety and improve the transportation efficiency. In this paper, based on the M/G/C/C state-dependent queuing model, a probabilistic selection optimization model is proposed to assess the capacity of the station. The goal of the model is to maximize the output rate of the station, and the decision variables of the model are the selection results of the passengers. Finally, this paper takes a subway station of Shanghai Metro as a case study and calculates the optimal selection probability. The proposed model could be used to analyze the average waiting time, congestion probability, and other evaluation indexes; at the same time, it verifies the validity and practicability of the model.

scholarly journals Stochastic Model Fast-Tracking used in Proposed Construction

2020 ◽  
Vol 06 (09) ◽  
pp. 175-182
Author(s):  
Santhiya. C and Sahaya Nisha. J
Keyword(s):  
Stochastic Model ◽  
Work Schedule ◽  
Construction Process ◽  
Construction Work ◽  
Project Duration ◽  
Fast Tracking ◽  
Regular Work ◽  
The Relationship ◽  
Manual Calculation

Fast-tracking a project involves carrying out sequential activities in parallel, partially overriding their actual construction process, to be using that method the overall project duration. In this paper, the regular work schedule of residential post construction work details comparing with fast-tracking method is proposed. These find out the project duration high. to be suggest the method of stochastic to be reduce the duration to minimum 20% of original duration of that project. The relationship between cost and duration to overlap. That project duration and cost would estimated manual calculation. Then compared to actual and estimated value. Stochastic value taken to least value of comparison of fast-tracking stochastic model through a case study.

scholarly journals EXPLORING CONSUMERS' ACCEPTANCE OF E-MARKETPLACE USING TAM AND FLOW THEORY

2020 ◽  
Vol 1 (3) ◽  
pp. 170-182
Author(s):  
Agung Purwanto ◽  
Nurahman ◽  
Andy Ismail
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Quantitative Research ◽  
Business Models ◽  
Flow Theory ◽  
Proposed Model ◽  
Shopping Enjoyment ◽  
Acceptance Model ◽  
The Relationship

Abstract: One business models of E-commerce which well-developed is E-Marketplace. The internal competition of E-Marketplace remains tough yet some achieve its successful compared to the others. The parameter of successful E-Marketplace can be seen by the numbers of acceptance by the costumers. Hence, this research on E-marketplace acceptance is significant to be done. This research takes a case study in one of the Indonesian markets, named the ‘Pusat Perbelanjaan Mentaya’ (PPM) regarding the use of the E-marketplace. This research aims to find out the adoption of e-marketplace acceptance. Our research model based on Technology Acceptance Model (TAM) which is modified by adding shopping enjoyment variable (Flow Theory). This research applies quantitative research method; spreading questionaries and surveys. The data obtained were 240 from the PPM consumers who use E-marketplace application. Then the data would be used to examine the relationship between the variables of the proposed model. The results of this study show that the perception of the use of E-Marketplace application effects the perceived benefits. This due to the ease of operating the E-marketplace service affects users, moreover, sales and purchase transactions become more effective and efficient. In essence, the ease perceived also has an influence of the users’ attitude. This shows that E-marketplace service users feel that using these services increases effectiveness and benefits; they will not refuse to use E-marketplace services. The results in this study that the variable attitude towards use of Behavioral Intention is not accepted. Technology Acceptance Model, Technology Acceptance Theory, Shopping enjoyment, E-marketplace

scholarly journals AN ANT COLONY SYSTEM BASED DECISION SUPPORT SYSTEM FOR CONSTRUCTION TIME-COST OPTIMIZATION

2012 ◽  
Vol 18 (4) ◽  
pp. 580-589 ◽  
Author(s):  
Yanshuai Zhang ◽  
S. Thomas Ng
Keyword(s):  
Optimization Problems ◽  
Cost Optimization ◽  
Ant Colony ◽  
Ant Colony System ◽  
Time Cost ◽  
Construction Time ◽  
Project Duration ◽  
Test Study ◽  
Proposed Model ◽  
Computational Resources

Time and cost are the two most important factors to be considered in every construction project. In order to maximize the profit, both the client and contractor would strive to minimize the project duration and cost concurrently. In the past, most of the research studies related to construction time and cost assumed time to be constant, leaving the analyses based purely on a single objective of cost. Acknowledging this limitation, an evolutionary-based optimization algorithm known as an ant colony system is applied in this study to solve the multi-objective time-cost optimization problems. In this paper, a model is developed using Visual Basic for Application™ which is integrated with Microsoft Project™. Through a test study, the performance of the proposed model is compared against other analytical methods previously used for time-cost modeling. The results show that the model based on the ant colony system techniques can generate better solutions without utilizing excessive computational resources. The model, therefore, provides an efficient means to support planners and managers in making better time-cost decisions efficiently.

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