Triple bottom line accounting for optimizing natural gas sustainability: A statistical linear programming fuzzy ILOWA optimized sustainment model approach to reducing supply chain global cybersecurity vulnerability through information and communications technology

Rodger, James A.; George, James P.

doi:10.1016/j.jclepro.2016.11.089

Cited by 55 publications

(31 citation statements)

References 56 publications

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“…As this study focused on Hong Kong's logistics sector in which a significant amount of energy was consumed, GHG emissions due to the consumption of fossil fuels was chosen as the environmental indicator [22]. Rodger and George also suggested GHG emissions to be a good environmental indicator in a triple bottom line analysis [12]. Regarding the economic indicators, two typical indicators, namely value-added values and R&D expenditures, were adopted [12,16,23].…”

Section: Methodsmentioning

confidence: 99%

“…Rodger and George also suggested GHG emissions to be a good environmental indicator in a triple bottom line analysis [12]. Regarding the economic indicators, two typical indicators, namely value-added values and R&D expenditures, were adopted [12,16,23]. Note that the value-added measures are in the form of value added by sector, as suggested by Clift and Wright [23].…”

Section: Methodsmentioning

confidence: 99%

“…As noted by Zachary [7], a triplet-based environmental, economic, and social model has been widely used to characterize the sustainability of human activities over the past three decades. The triplet model is also known as a triple bottom line analysis in literature [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

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A Triple Bottom Line Analysis of Hong Kong’s Logistics Sector

Lee

2017

Sustainability

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Logistics play a crucial role in the development of the world economy as globalization continues. Because international trade is a driver of the gross domestic product (GDP), it impacts the economies of cities and countries. However, all transport modes consume energy and produce air pollutants including greenhouse gases (GHGs) either directly or indirectly. This paper uses a triple bottom line approach to examine the environmental, economic, and social performance of Hong Kong's logistics sector. The data, including annual cargo movements between Hong Kong and other places by different transport modes (container ships, aircraft, heavy trucks, and freight trains), the respective values added, and the number of workers employed in this sector, were collected from the Hong Kong government. Results showed that the total cargo weight had increased by 40% between 2000 and 2014. During the same period of time, the logistics sector contributed an average of 4.2% to Hong Kong's total GDP, provided an average of 5.6% of total employment, but produced an average of 37.4% of Hong Kong's total GHG emission.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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A Triple Bottom Line Analysis of Hong Kong’s Logistics Sector

Lee

2017

Sustainability

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“…Fuzzy measurements and fuzzy integrals, which were originally introduced by Sugeno in 1974 [1], are important analytical methods of measuring uncertain information [2][3][4]. The Sugeno integral has been applied to many fields, such as management decision-making and control engineering [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Sandor Type Fuzzy Inequality Based on the (s,m)-Convex Function in the Second Sense

2017

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Abstract:Integral inequalities play critical roles in measure theory and probability theory. Given recent profound discoveries in the field of fuzzy set theory, fuzzy inequality has become a hot research topic in recent years. For classical Sandor type inequality, this paper intends to extend the Sugeno integral. Based on the (s,m)-convex function in the second sense, a new Sandor type inequality is proposed for the Sugeno integral. Examples are given to verify the conclusion of this paper.

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“…On the other hand, uninorms, which are a generalization of t-norms and t-conorms, are not continuous if their neutral elements are in the open interval (0, 1). Fuzzy implications (coimplications) [30,31] also are important operations in fuzzy logic and applied in related fields [32][33][34]. By using uninorms and other fuzzy logic operations, we can construct fuzzy implications (coimplications), such as (U,N)-and RU-implications (coimplications) [32,35] (Their concepts can be seen from Definitions 9 and 10 in this work, respectively).…”

Section: Introductionmentioning

confidence: 99%