Aminbakhsh, Saman

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Profile URL
https://hdl.handle.net/20.500.14411/6691
Name Variants
Saman, Aminbakhsh
S., Aminbakhsh
A., Saman
Saman Aminbakhsh
S.,Aminbakhsh
Aminbakhsh,Saman
A.,Saman
Aminbakhsh, Saman
Aminbakhsh,S.
Job Title
Doktor Öğretim Üyesi
Email Address
saman.aminbakhsh@atilim.edu.tr
Main Affiliation
Civil Engineering
Status
Website
ORCID ID
0000-0002-4389-1910
Scopus Author ID
55768552300
Turkish CoHE Profile ID
8D50169F8600DF9B
Google Scholar ID
JRu69LMAAAAJ
WoS Researcher ID
LIF-9792-2024

Sustainable Development Goals

2

ZERO HUNGER
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0

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14

LIFE BELOW WATER
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1

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17

PARTNERSHIPS FOR THE GOALS
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0

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5

GENDER EQUALITY
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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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0

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8

DECENT WORK AND ECONOMIC GROWTH
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0

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4

QUALITY EDUCATION
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0

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6

CLEAN WATER AND SANITATION
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0

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7

AFFORDABLE AND CLEAN ENERGY
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1

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10

REDUCED INEQUALITIES
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0

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11

SUSTAINABLE CITIES AND COMMUNITIES
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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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1

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1

NO POVERTY
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3

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0

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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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0

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13

CLIMATE ACTION
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0

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15

LIFE ON LAND
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0

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Documents

15

Citations

632

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8

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Documents

16

Citations

532

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Scholarly Output

15

Articles

11

Views / Downloads

43/0

Supervised MSc Theses

2

Supervised PhD Theses

0

WoS Citation Count

115

Scopus Citation Count

102

WoS h-index

5

Scopus h-index

4

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0

Projects

0

WoS Citations per Publication

7.67

Scopus Citations per Publication

6.80

Open Access Source

4

Supervised Theses

2

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Structures2
Journal of Construction Engineering, Management & Innovation2
European Journal of Operational Research1
Journal of Building Engineering1
Journal of Construction Engineering and Management1
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Author: Sonmez, Rifat

Scholarly Output Search Results

Now showing 1 - 4 of 4
  • Thumbnail Image
    Article
    Citation - WoS: 32
    Citation - Scopus: 40
    A Transformative Solution for Construction Safety: Blockchain-Based System for Accident Information Management
    (Elsevier, 2023) Ahmadisheykhsarmast, Salar; Aminbakhsh, Saman; Sonmez, Rifat; Uysal, Furkan
    Effective management of accident information is a crucial component of safety management within the construction industry, as it reflects the safety performance of the company and allows them to identify the root causes of accidents and prevent similar accidents in the future. However, existing safety information systems provide self-owned, isolated, and centralized environments and fail to present a secure, transparent, and trustworthy platform for monitoring and management of accident information. To address these issues, this paper presents a novel decentralized blockchain-based system for accident/incident information management of construction projects. The proposed system leverages the benefits and advantages of blockchain, smart contracts, and decentralized IPFS storage to address the security transparency, tampering, and trustworthiness issues of the conventional approaches. The proposed system is simulated by using real-world construction accident data to demonstrate how blockchain technology can provide a novel solution to assure security, transparency, authenticity, availability, and immutability of the accident/incident data for improving safety management.
  • Thumbnail Image
    Article
    Citation - WoS: 24
    Activity Uncrashing Heuristic With Noncritical Activity Rescheduling Method for the Discrete Time-Cost Trade-Off Problem
    (Asce-amer Soc Civil Engineers, 2020) Sonmez, Rifat; Aminbakhsh, Saman; Atan, Tankut
    Despite intensive research efforts that have been devoted to discrete time-cost optimization of construction projects, the current methods have very limited capabilities for solving the problem for real-life-sized projects. This study presents a new activity uncrashing heuristic with noncritical activity rescheduling method to narrow the gap between the research and practice for time-cost optimization. The uncrashing heuristic searches for new solutions by uncrashing the critical activities with the highest cost-slope. This novel feature of the proposed heuristic enables identification and elimination of the dominated solutions during the search procedure. Hence, the heuristic can determine new high-quality solutions based on the nondominated solutions. Furthermore, the proposed noncritical activity rescheduling method of the heuristic decreases the amount of scheduling calculations, and high-quality solutions are achieved within a short CPU time. Results of the computational experiments reveal that the new heuristic outperforms state-of-the-art methods significantly for large-scale single-objective cost minimization and Pareto front optimization problems. Hence, the primary contribution of the paper is a new heuristic method that can successfully achieve high-quality solutions for large-scale discrete time-cost optimization problems.
  • Thumbnail Image
    Article
    Semiautomated Delay Analysis Method Selection for Construction Projects: A Rule-Based Approach
    (ASCE-Amer Soc Civil Engineers, 2026) Agar, Mehmet; Sonmez, Rifat; Aminbakhsh, Saman
    Given the availability of various delay analysis methods, each yielding different results, the proper selection of an appropriate methodology is of paramount importance. Despite the necessity for automation to resolve delay conflicts, the current literature lacks an automated approach to assist contractors and project owners in reaching a consensus on selecting the most suitable delay analysis method without requiring a third party. Hence, to bridge the gap between theoretical research and practical application in achieving an automated delay analysis method, a novel rule-based expert system has been proposed. A structured, multiphase methodology that includes a review of existing methods, identification of key facts, determination of facts and expert rules, development of a forward chaining inference engine, and validation stages is used. Five real-world case examples and the decisions of experts for 15 hypothetical case examples are used for validation. The case examples demonstrate that the system can successfully automate the selection of the most appropriate delay analysis method and support a transparent, systematic approach to managing delays in construction projects. Furthermore, the system can foster consensus among project stakeholders during the selection of a delay analysis method and has the potential to contribute to the resolution of delay disputes.
  • Thumbnail Image
    Article
    Citation - WoS: 4
    Citation - Scopus: 4
    Ε-Constraint Procedures for Pareto Front Optimization of Large Size Discrete Time/Cost Trade-Off Problem
    (Elsevier, 2025) Aminbakhsh, Saman; Sonmez, Rifat; Atan, Tankut
    The discrete time/cost trade-off problem (DTCTP) optimizes the project duration and/or cost while considering the trade-off between activity durations and their direct costs. The complete and non-dominated time-cost profile over the set of feasible project durations is achieved within the framework of Pareto front problem. Despite the importance of Pareto front optimization in project and portfolio management, exact procedures have achieved very limited success in solving the problem for large size instances. This study develops exact procedures based on combinations of mixed-integer linear programming (MILP), epsilon-constraint method, network and problem reduction techniques, and present new bounding strategies to solve the Pareto problem for large size instances. This study also provides new large size benchmark problem instances aiming to represent the size of real-life projects for the DTCTP. The new instances, therefore, are generated to include up to 990 activities and nine execution modes. Computational experiments reveal that the procedures presented herein can remarkably outperform the state-of-the-art exact methods. The new exact procedures enabled obtaining the optimal Pareto front for instances with serial networks that include more than 200 activities for the first time.