Multi-Criteria Optimization for Fleet Size with Environmental Aspects

Sawik, Bartosz; Faulín, Javier; Perez‐Bernabeu, Elena

doi:10.1016/j.trpro.2017.12.056

Cited by 39 publications

(21 citation statements)

References 35 publications

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“…Programming is a common practice in transportation model constructing procedures [26,27]. Existing approaches to accessibilities require simulating models of geographical information systems supported by local computing sources [28].…”

Section: Methods Of Measuring Accessibilitymentioning

confidence: 99%

Measuring Public Transit Accessibility Based On Google Direction API

Jin¹,

Jin²,

Hao³

et al. 2019

TOTJ

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Background: Accessibility is considered as an important indicator for the public transit service level. Transit accessibility is generally evaluated by its distance to transit access points such as bus stops and metro stations, and methods of measuring the access distances to transit points have been relying heavily on geographic data of transit facilities, built environments and pedestrian routes. Data collecting and analyzing are tedious for researchers in conventional approaches. As the application of cloud computing is on the rise, open services provided by Google Cloud Platform may simplify the procedure of accessibility measurement if the outputs of the open computing services could be validated. Aims and Objectives: This paper aims to develop a method of measuring public transit accessibility based on Google Direction API rather than local data analyzing. A mechanism of API (Application Program Interface) probing is introduced. In a case study, the metropolitan area of Beijing was sliced into gridded spaces, with transit access distance of each cell space calculated by Google Direction API. The access distances in the API feedbacks were compared with transit access numbers in each cell area in order to validate the method with their correlation coefficient. Results and Conclusion: It was found that Google Direction API generally gave shorter access distances in cell areas with more public access points. The conclusion is that open cloud services such as Google Direction API may serve as alternative solutions to public transit accessibility measurement. Transit researchers and agencies may take advantage of such open API services to avoid the tediousness of collecting and processing geographic data sets on transit facilities.

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Section: Methods Of Measuring Accessibilitymentioning

confidence: 99%

Measuring Public Transit Accessibility Based On Google Direction API

Jin¹,

Jin²,

Hao³

et al. 2019

TOTJ

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“…In this study, besides a fixed transportation and carbon emission cost (FTCEC), a capacity dependent TCEC is applied. Sawik [36] minimized the pollution, carbon emission, noise, and fuel consumption and maximize the capacity of the truck in the study related to multi-criterion vehicle routing problem. However, none of them considered yet unreliability of the manufacturer in their models.…”

Section: Literature Reviewmentioning

confidence: 99%

Effects of Unequal Lot Size and Variable Transportation in Unreliable Supply Chain Management

2020

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The effect of unreliable players on the supply chain management with a single-setup-multi-unequal-increasing-delivery-policy (SSMUID) along with a service-dependent demand and investment is discussed in this model. The manufacturer is unreliable which causes an increase of lead time and shortage. For solving the shortage problem and reducing lead time crashing cost (LTCC), an investment is utilized with the variable backorder price discounts. The number of transportation increases due to the new transportation policy and it causes pollution. Besides the fixed transportation and carbon emission cost (FTCEC), a container dependent carbon emission cost is applied. Some investments for setup cost reduction (SCR), ordering cost reduction (OCR), and quality improvement (QI) are considered. The lead time demand follows a normal distribution. The total cost of the supply chain is optimized and the model is tested numerically. The main intent of this study is to solve the shortage problem which occurs due to unreliability of the manufacturer. The study helps to reduce the unreliability issue of the manufacturer. The objective function is solved by using the classical optimization technique. Numerical results show that the discount for partial backorder enhances the profitability of the manufacturer. The sensitiveness of the parameters are discussed through the sensitivity of analysis and some special cases. Managerial insights provide the applicability of this study among different sectors.

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“…For example, in Figure 3 (a), the allele values of the third and ninth genes are 9 and 6, respectively. However, the edges of (3,9) and (9…”

Section: Initializationmentioning

confidence: 99%

“…The multi-objective optimization problem is composed of multiple objective functions and some related equality and inequality constraints. The solutions are obtained through the use of Pareto optimality theory [3] and constitute global optimum solutions satisfying all the objectives as best as possible. The evolutionary algorithm for solving multi-objective optimization problems is successful because of their population-based nature, which allows the simultaneous production of multiple optima and a good approximation of the Pareto front [4].…”

Section: Introductionmentioning

confidence: 99%

A multi-objective adaptive evolutionary algorithm to extract communities in networks

Cao

Ding

et al. 2020

Swarm and Evolutionary Computation

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Community structure is one of the most important attributes of complex networks, which reveals the hidden rules and behavior characteristics of complex networks. Existing works need to pre-set weight parameters to control the different emphasis on the objective function, and cannot automatically identify the number of communities. In the process of optimization, there will be some challenges, such as premature and inefficiency. This paper presents a

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Multi-Criteria Optimization for Fleet Size with Environmental Aspects

Cited by 39 publications

References 35 publications

Measuring Public Transit Accessibility Based On Google Direction API

Measuring Public Transit Accessibility Based On Google Direction API

Effects of Unequal Lot Size and Variable Transportation in Unreliable Supply Chain Management

A multi-objective adaptive evolutionary algorithm to extract communities in networks

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