Multi-objective multi-item fixed-charge solid transportation problem under twofold uncertainty

Roy, Sankar Kumar; Midya, Sudipta; Weber, Gerhard

doi:10.1007/s00521-019-04431-2

Cited by 65 publications

(23 citation statements)

References 40 publications

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“…Optimization and Decision-making has to find, choose and allocate new territories, particularly, in rural countrysides, and vast amounts of energy, while all of this should be implemented with not more than a moderate complexity by organizations and governments, within an overall atmosphere of care, empathy and freedom. In situations like these, Human-Oriented Smart Technology, Data Mining, Analytics, Optimization, and Renewable Energy are making a big difference and emerge as Key Technologies of the future (Roy et al 2019;Lotfi et al 2020).…”

Section: Ergonomics: As It Beganmentioning

confidence: 99%

Human factors in a contemporary organization

Hankiewicz

Weber

2020

Cent Eur J Oper Res

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The presented paper concerns publications presented as part of XXXI International Seminar of Ergonomics. It presents basic information on ergonomics terminology. In addition, the development directions of the ergonomics research area in historical terms were shown. This is because, among other things organizing background for over 40 years International Ergonomics Seminars series in Poland. The second part of the text contains short descriptions of the research area presented in individual publications, highlighting their specificity and connections with the leading topic of human factors.

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Section: Ergonomics: As It Beganmentioning

confidence: 99%

Human factors in a contemporary organization

Hankiewicz

Weber

2020

Cent Eur J Oper Res

Self Cite

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“…Mahapatra et al [33] discussed a multi-choice stochastic transportation problem involving exponential distribution and extreme value distribution in which the multi-choice concept involved only in the cost parameters. Midya et al [34] introduced a study on multi-item multi-objective transportation problem under uncertain environment. A study on goal programming for solving MOTP has been presented by Maity and Roy [35].…”

Section: Review Of Related Workmentioning

confidence: 99%

Time Variant Multi-Objective Interval-Valued Transportation Problem in Sustainable Development

2019

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Sustainable development is treated as the achievement of continued economic development without detriment to environmental and natural resources. Now-a-days, in a competitive market scenario, most of us are willing to pay less and to gain more in quickly without considering negative externalities for the environment and quality of life for future generations. Recalling this fact, this paper explores the study of time variant multi-objective transportation problem (MOTP) with consideration of minimizing pollution. Time of transportation is of utmost importance in reality; based on this consideration, we formulate a MOTP, where we optimize transportation time as well as the cost function. The parameters of MOTP are interval-valued, so this form of MOTP is termed as a multi-objective interval transportation problem (MOITP). A procedure is taken into consideration for converting MOITP into deterministic form and then for solving it. Goal programming is applied to solve the converted transportation problem. A case study is conducted to justify the methodology by utilizing the environmental impact. At last, conclusions and future research directions are included regarding our study.

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“…In this way, TOPSIS decision‐making method is used to derive Pareto solution. Furthermore, Roy et al developed a multiobjective multiitem fixed‐charge transportation model under uncertainty. Three methods including TOPSIS, goal programming, and fuzzy programming are applied to find a set of optimal solution.…”

Section: Literature Reviewmentioning

confidence: 99%

A multiobjective integrated multiproject scheduling and multiskilled workforce assignment model considering learning effect under uncertainty

Hematian

Esfahani

Mahdavi

et al. 2019

Computational Intelligence

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Today, organizations try to decline academically expenses using humans and resources in addition to rising managers and operators' satisfaction. Meantime, a very important step in the process of decision is the assignment of human resources, particularly in connection with research and development (R&D) projects in which the system is highly dependent on the capabilities of human resources. In this study, we tried all the assumptions that come true in the real world, considered a model for applied R&D projects to reduce costs and increase the efficiency of projects. Therefore, an integrated multiproject scheduling and multiskill human resource assignment model under uncertainty has developed for R&D projects. Furthermore, it is assumed that the activity processing time is related to human resources assignment that means the learning effect is considered. To demonstrate the proposed model efficiency, the various dimensions instance problem was solved accurately and efficiently in GAMS software, and the results have been reported. In addition, the proposed model is validated through the input parameter sensitivity analysis. The results indicate a suitable performance of the proposed fuzzy mathematical programming model is due to the complexity of the problem.

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Multi-objective multi-item fixed-charge solid transportation problem under twofold uncertainty

Cited by 65 publications

References 40 publications

Human factors in a contemporary organization

Human factors in a contemporary organization

Time Variant Multi-Objective Interval-Valued Transportation Problem in Sustainable Development

A multiobjective integrated multiproject scheduling and multiskilled workforce assignment model considering learning effect under uncertainty

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