A Bi-Objective Programming Model for Reliable Supply Chain Network Design under Facility Disruption

Hatefi, Seyed Morteza; Moshashaee, Seyed Mohtasham; Mahdavi, Iraj

doi:10.30880/ijie.2019.11.06.009

Cited by 12 publications

(9 citation statements)

References 41 publications

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“…Equation 1has the same objective function and uses the same optimization approach as the Simple Additive Weighted (SAW) method. [23]. Each entity will accumulate one score.…”

Section: Model Specification 211 Operation Research Modelingmentioning

confidence: 99%

Carbon-Free Energy and Sustainable Environment: The Role of Human Capital and Technological Revolutions in Attaining SDGs

et al. 2021

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During the time before the Millennium Development Goals (MDGs) are achieved, the international community has set goals to improve people’s lives worldwide. This is in line with the United Nations’ 2030 ambitions to strengthen and advance human society’s sustainable development. Goal number 7 (Affordable and Clean Energy), goal number 9 (Industry, Innovation, and Infrastructure), and goal number 13 (Climate Action) are highly correlated to each other. The current study investigates the role of human capital and technological innovation in achieving sustainable development goals (SDGs) through a carbon-free energy system. A 19-year dataset covering the years 2000−2018 for the G7 economies has been utilized by using the composite index, Multi-criteria decision analysis, and Quantile Autoregressive Distributed Lag (QARDL) methods. The study’s outcomes indicate that the human capital index and technological innovations contribute positively to SDGs in G7 economies. Both indicators also contribute positively to the carbon-free economy by contributing to carbon-free energy sources. The financial index and energy index results also indicate a positive association with the carbon-free economy in G7 nations. This study suggests policy guidelines for developed as well as for developing economies based on human capital and technological innovation to fulfill the SDGs.

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“…Equation 1has the same objective function and uses the same optimization approach as the Simple Additive Weighted (SAW) method. [23]. Each entity will accumulate one score.…”

Section: Model Specification 211 Operation Research Modelingmentioning

confidence: 99%

Carbon-Free Energy and Sustainable Environment: The Role of Human Capital and Technological Revolutions in Attaining SDGs

et al. 2021

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“…Disruptions in production planning are generally associated with the interruptions such as machine breakdown, lack of professional workers, failure to get reused item, mismatch of process timing occurring during the production process that may have an impact on its rate of production and product quality [20], [21]. For this reason, while disruptions on a carefully planned production flow can be regarded as impairing a company's performance, the outcome of a company's rate of production, on the other hand, can thus be seen as being influenced by those affecting its infrastructure facilities.…”

Section: Resultsmentioning

confidence: 99%

“…As such, the complexities of the production planning in the remanufacturing process would very much depend on the reuse methods being employed, types of remanufactured products as well as the quality and quantity of the returned products. Since it is essential for the returned parts to undergo inspection before they can be transformed into raw materials or disassembled for reuse [19][20], the manufacturer would then be required to assimilate the production of a remanufacturing product with newly purchased parts from the suppliers and the recovered parts from the returned products [25].…”

Section: Production Planningmentioning

confidence: 99%

Analysis of the Supply Chain Disruption Risks in the Malaysian Automotive Remanufacturing Industry-a Case Study

Ropi¹,

Hishamuddin²,

Wahab³

2020

IJIE

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Remanufacturing has now become one of the effective strategies for reducing the negative impact on the environment by prolonging the products' life cycle in the automotive sector. Still considered as a relatively new industry in Malaysia, the low remanufacturing rate coupled with the lack of standardization are thus seen as causing a high inclination of disruption occurrences in the remanufacturing operations. As such, this paper had identified and investigated the existing disruptions in four problematic areas, namely the production planning, infrastructure facilities, distribution networking and inventory management of the automotive remanufacturing firms in Malaysia. From the SPSS analysis and calculation of the mean and standard deviation values on the semi-structured interviews that were conducted in three remanufacturing companies, the highest contributor to the disruption risks was found to have resulted from the difficulty in obtaining the spare parts components in the production planning process. By also exploring the awareness level on environmental sustainability and the significance of remanufacturing processes among the remanufacturer companies, this analysis is thus deemed useful for not only identifying suitable actions that can be taken for mitigating the various risks faced by the automotive remanufacturers in Malaysia, but also in solving the disruptions of the remanufacturing supply chain system.

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“…Information is full of uncertainty in the real world [1][2][3][4], so it is important to develop the technology to deal with the uncertain information.Amounts of models and theories are proposed for uncertainty modeling, such as Dempster-Shafer evidence theory [5,6], Z numbers [7,8], fuzzy sets theory [9][10][11], and other models [12][13][14][15]. Those models are widely used in real-world applications, including multi-criteria decision making [16][17][18], reliability analysis [19][20][21][22], classification [23,24], complex network [25][26][27], medical diagnosis [28,29], and risk analysis [30,31].…”

Section: Introductionmentioning

confidence: 99%

CBD: A New Divergence Measure for Complex Mass Function and its Application in Pattern Recognition

Luo

Xiao

2021

Preprint

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The theory of complex mass function is an effective method to deal with uncertainty information, and it is a generalized of Dempster-Shafer evidence theory. However, divergence measure is still an open issue in the realm of complex mass function theory. The main contribution of our paper is to propose a generalized divergence measure for complex mass function that is called complex belief divergence (CBD),which has the properties of symmetry, nonnegativity, nondegeneracy. When complex mass function degenerates into classical mass function, the CBD will degenerate into classical belief divergence, which has a better ability to measure uncertainty of information. Finally, a pattern recognition algorithm based on CBD is designed and applied to a medical diagnosis problem, which proves its practical prospect.

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A Bi-Objective Programming Model for Reliable Supply Chain Network Design under Facility Disruption

Cited by 12 publications

References 41 publications

Carbon-Free Energy and Sustainable Environment: The Role of Human Capital and Technological Revolutions in Attaining SDGs

Carbon-Free Energy and Sustainable Environment: The Role of Human Capital and Technological Revolutions in Attaining SDGs

Analysis of the Supply Chain Disruption Risks in the Malaysian Automotive Remanufacturing Industry-a Case Study

CBD: A New Divergence Measure for Complex Mass Function and its Application in Pattern Recognition

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