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Optimal Fleet Selection for Earthmoving Operations
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Transportvetenskap, Trafik och logistik.
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Transportvetenskap, Trafik och logistik.ORCID-id: 0000-0002-4106-3126
2013 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Earthmoving operations often involve a large number of specially designed equipment with significant purchasing/leasing prices, high operating and maintenance costs. Hence, choosing the right fleet is a major concern from the construction planners’ point of view. This paper presents a methodology that combines discrete-event simulation and optimization to solve the optimal fleet selection problem for earthmoving operations. Two optimization objectives are formulated and solved using the proposed framework and a genetic algorithm: minimization of Total Cost of Ownership (TCO) and maximization of productivity. Further, a two-stage rating scheme is introduced to arrange the fleet configurations so that the optimization algorithm converges to a fleet with better second-stage performance while the first-stage performance remains at the same level. The case study shows that the proposed mechanism can effectively allocate an optimal equipment combination for earthmoving operations and hence serve as an efficient tool for construction management.

sted, utgiver, år, opplag, sider
2013.
Emneord [en]
earthmoving operations, equipment selection, simulation optimization, discrete - event simulation, genetic algorithm .
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-115983OAI: oai:DiVA.org:kth-115983DiVA, id: diva2:588564
Konferanse
ISEC 7.7th International Structural Engineering and Construction Conference,Honolulu, Hawaii
Merknad

TSC import 2107 2013-01-15. QC 20130531

Tilgjengelig fra: 2013-01-15 Laget: 2013-01-15 Sist oppdatert: 2017-03-23bibliografisk kontrollert
Inngår i avhandling
1. Logistics of Earthmoving Operations: Simulation and Optimization
Åpne denne publikasjonen i ny fane eller vindu >>Logistics of Earthmoving Operations: Simulation and Optimization
2013 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Earthworks are a fundamental part of heavy construction engineering and involve the moving and processing of the soil surface of earth. Normally, earthmoving operations are carried out during the early stages of heavy construction projects. To a large extent, the success of the fundamental earthmoving determines the sequence of the remaining parts of a project. Furthermore, the operations require expensive heavy equipment as well as manpower. Thus, improving the efficiency of earthmoving operations is a primary target from the point of view of the project management.

This thesis develops simulation and optimization methods for logistics of earthmoving operations. Modeling earthmoving operations correctly is essential to ensure the credibility of simulation, and the well-known CYCLONE modeling methodology is employed to represent the earthmoving logistics. Discrete event simulation techniques are used to capture the interaction between resources and the randomness of the earthmoving activities. A prototype has been developed (Paper I) to demonstrate that the capability of the simulation system of evaluating alternative operating strategies and resource utilizations for earthmoving operations at a detailed level, as well as conducting productivity estimation and Total Cost of Ownership (TCO) calculations. The simulation system is then integrated with optimization to solve the optimal fleet selection problem for earthmoving operations (Paper II and III). Two optimization objectives are formulated and solved using the proposed simulation-based optimization framework and a genetic optimization algorithm: TCO minimization and maximization of productivity. The case studies show that the proposed mechanism can effectively allocate an optimal equipment combination for earthmoving operations and hence serve as an efficient tool for construction management. The main aim of the integrated simulation-based optimization platform is to act as a sales tool to help customers optimize their fleet and eventually their sites.

In addition to the simulation-based optimization framework for earthmoving logistics, the thesis examines the possibility of reducing fuel consumption for articulated haulers which are the most fuel consuming machines in earthmoving (Paper IV). Fuel consumption has become one of the main focuses for automobile manufacturers and several studies have been carried out over the last years to evaluate the possibility of using topographical information and positioning systems to aid look-ahead control systems for road vehicles. Based on the assumption of available road slope information and positioning system, an optimal control problem is formulated to determine the optimal gear shift sequence and time of shifting. Model Predictive Control algorithms together with Dynamic Programming techniques are employed to solve the optimal gear shifting problem. Computer simulations show that both fuel consumption and travel time can be reduced simultaneously. In addition, the optimal gear shift sequence resembles the behavior of an experienced driver.

sted, utgiver, år, opplag, sider
Stockholm: KTH Royal Institute of Technology, 2013. s. ix, 35
Serie
Trita-TEC-LIC, ISSN 1653-445X ; 13:002
HSV kategori
Identifikatorer
urn:nbn:se:kth:diva-122893 (URN)978-91-87353-05-5 (ISBN)
Presentation
2013-06-14, V7, Teknikringen 76, KTH, Stockholm, 14:00 (engelsk)
Opponent
Veileder
Merknad

QC 20130531

Tilgjengelig fra: 2013-05-31 Laget: 2013-05-29 Sist oppdatert: 2013-05-31bibliografisk kontrollert
2. Evaluating and Improving the Transport Efficiency of Logistics Operations
Åpne denne publikasjonen i ny fane eller vindu >>Evaluating and Improving the Transport Efficiency of Logistics Operations
2017 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

The thesis focuses on evaluating and improving the transport efficiency of two types of logistics operations in the supply chain.

One research area is the production of raw material in construction operations, specifically earthmoving operations. Methods and tools are developed to provide decision support in improving the transport efficiency of earthmoving at the vehicle and the systems levels. Using known road topography and a GPS unit, an optimal control problem is formulated and solved (Paper III) to determine the optimal gear shift sequence and timing in order to improve the transport efficiency at the vehicle level. For decision support at the systems level, a Fleet Performance Simulation (FPS) model is designed (Paper IV) to evaluate the transport efficiency for a given mix of construction vehicles in earthmoving. The FPS system is integrated with an optimization algorithm to solve the optimal fleet composition problem for earthmoving operations (Paper V & VI). Construction operations are dynamic and the environment is changing constantly, which bring difficulties in decision-making. Using GPS data from construction vehicles, a map inference framework (Papers I & II) is developed to automatically extract relevant input to decision support at the vehicle and the systems levels, which include the locations of various workstations, driving time distributions and road networks.

The second research area is the transport efficiency of urban distribution system, which is in the final phase of the supply chain. An off-peak delivery pilot project in Stockholm is used as the background, designed to evaluate the potential for commercial vehicles to make use of off-peak hours for goods delivery. The thesis (Paper VII) evaluates the transport efficiency impacts of the off-peak pilot. An evaluation framework is defined where transport efficiency is studied in a number of dimensions. GPS data, fleet management data, and logistic information are used to assess the impacts.

sted, utgiver, år, opplag, sider
KTH Royal Institute of Technology, 2017. s. 47
Serie
TRITA-TSC-PHD ; 17-002
Emneord
transport efficiency, earthmoving operations, off-peak urban deliveries, simulation, optimization, GPS data
HSV kategori
Forskningsprogram
Transportvetenskap
Identifikatorer
urn:nbn:se:kth:diva-204030 (URN)978-91-87353-99-4 (ISBN)
Disputas
2017-04-28, Kollegiesalen, Brinellvägen 8, Stockholm, 14:00 (engelsk)
Opponent
Veileder
Forskningsfinansiär
Integrated Transport Research Lab (ITRL)
Merknad

QC 20170323

Tilgjengelig fra: 2017-03-23 Laget: 2017-03-22 Sist oppdatert: 2018-05-14bibliografisk kontrollert

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