Intelligent simulation: Integration of SIMIO and MATLAB to deploy decision support systems to simulation environment

Dehghanimohammadabadi, Mohammad; Keyser, Thomas K.

doi:10.1016/j.simpat.2016.08.007

Cited by 44 publications

(28 citation statements)

References 23 publications

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“…Assessment-related data, e.g., emission factors, characterization values, and equipment parameters, were stored in the database. An Application Program Interface (API) framework, originally created by Dehghanimohammadabadi and Keyser [65], was extended to automate the data exchange between the pLCA assessment and the simulation platforms. An overview of the DES-pLCA prototype is shown in Figure 5.…”

Section: Prototype and Applicationmentioning

confidence: 99%

A Predictive Environmental Assessment Method for Construction Operations: Application to a Northeast China Case Study

Feng

Olofsson

et al. 2018

Sustainability

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Construction accounts for a considerable number of environmental impacts, especially in countries with rapid urbanization. A predictive environmental assessment method enables a comparison of alternatives in construction operations to mitigate these environmental impacts. Process-based life cycle assessment (pLCA), which is the most widely applied environmental assessment method, requires lots of detailed process information to evaluate. However, a construction project usually operates in uncertain and dynamic project environments, and capturing such process information represents a critical challenge for pLCA. Discrete event simulation (DES) provides an opportunity to include uncertainty and capture the dynamic environments of construction operations. This study proposes a predictive assessment method that integrates DES and pLCA (DES-pLCA) to evaluate the environmental impact of on-site construction operations and supply chains. The DES feeds pLCA with process information that considers the uncertain and dynamic environments of construction, while pLCA guides the comprehensive procedure of environmental assessment. A DES-pLCA prototype was developed and implemented in a case study of an 18-storey building in Northeast China. The results showed that the biggest impact variations on the global warming potential (GWP), acidification potential (AP), eutrophication (EP), photochemical ozone creation potential (POCP), abiotic depletion potential (ADP), and human toxicity potential (HTP) were 5.1%, 4.1%, 4.1%, 4.7%, 0.3%, and 5.9%, respectively, due to uncertain and dynamic factors. Based on the proposed method, an average impact reduction can be achieved for these six indictors of 2.5%, 21.7%, 8.2%, 4.8%, 32.5%, and 0.9%, respectively. The method also revealed that the material wastage rate of formwork installation was the most crucial managing factor that influences global warming performance. The method can support contractors in the development and management of environmentally friendly construction operations that consider the effects of uncertainty and dynamics.

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Section: Prototype and Applicationmentioning

confidence: 99%

A Predictive Environmental Assessment Method for Construction Operations: Application to a Northeast China Case Study

Feng

Olofsson

et al. 2018

Sustainability

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“…Furthermore, the customised PSO are programming in the MatLab ® platform, to achieve multi-objective optimisation. An established API connector by Dehghanimohammadabadi and Keyser [59] to link Simio and MatLab is extendedly programmed for this study to handle the simulation at each fitness evaluation of PSO, which also records the number of the DES model call. The performance assessment is built within Simio using its calculation ability.…”

Section: Prototype Overviewmentioning

confidence: 99%

An Integrated Environment–Cost–Time Optimisation Method for Construction Contractors Considering Global Warming

Feng

Chen

et al. 2018

Sustainability

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Construction contractors play a vital role in reducing the environmental impacts during the construction phase. To mitigate these impacts, contractors need to develop environmentally friendly plans that have optimal equipment, materials and labour configurations. However, construction plans with optimal environment may negatively affect the project cost and duration, resulting in dilemma for contractors on adopting low impacts plans. Moreover, the enumeration method that is usually used needs to assess and compare the performances of a great deal of scenarios, which seems to be time consuming for complicated projects with numerous scenarios. This study therefore developed an integrated method to efficiently provide contractors with plans having optimal environment-cost-time performances. Discrete-event simulation (DES) and particle swarm optimisation algorithms (PSO) are integrated through an iterative loop, which remarkably reduces the efforts on optimal scenarios searching. In the integrated method, the simulation module can model the construction equipment and materials consumption; the assessment module can evaluate multi-objective performances; and the optimisation module fast converges on optimal solutions. A prototype is developed and implemented in a hotel building construction. Results show that the proposed method greatly reduced the times of simulation compared with enumeration method. It provides the contractor with a trade-off solution that can average reduce 26.9% of environmental impact, 19.7% of construction cost, and 10.2% of project duration. The method provides contractors with an efficient and practical decision support tool for environmentally friendly planning.

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“…Dehghanimohammadabadi et al [3] present the concept of the intelligent simulation in which they integrate two different powerful simulation tools Simio and MatLab to create decision support system for optimization. We can see that many authors use simulation tools for: solving job shop scheduling problem (JSSP) with multiple-objects such as Ripon et al [4] presents a use of mathematical simulation tool for solving crossover in JSSP.…”

Section: Literature Reviewmentioning

confidence: 99%

Use of Simulation Software Environments for the Purpose of Production Optimization

Ojsteršek¹,

Buchmeister²

2017

DAAAM Proceedings

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Intelligent simulation: Integration of SIMIO and MATLAB to deploy decision support systems to simulation environment

Cited by 44 publications

References 23 publications

A Predictive Environmental Assessment Method for Construction Operations: Application to a Northeast China Case Study

A Predictive Environmental Assessment Method for Construction Operations: Application to a Northeast China Case Study

An Integrated Environment–Cost–Time Optimisation Method for Construction Contractors Considering Global Warming

Use of Simulation Software Environments for the Purpose of Production Optimization

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