scholarly journals Ports Digitalization Level Evaluation

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6134
Author(s):  
Vytautas Paulauskas ◽  
Ludmiła Filina-Dawidowicz ◽  
Donatas Paulauskas
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Marketing Research ◽  
Operational Efficiency ◽  
Research Tool ◽  
Research Results ◽  
The Baltic

Currently, seaports are actively searching for methods and ways to improve their operational efficiency. Digitalization is considered as one of the main directions of current ports’ development. Ports’ digitalization levels are varied and may depend on different factors, including port size, traditions, turnover and handled cargo type, etc. Ports often face decision-making challenges related to assessment of their digitization level and choice of development directions. The article aims to develop a methodology to evaluate ports’ digitalization level. A marketing research tool was used to collect the data needed for the analysis. A mathematical model allowing simulations is proposed and a case study of 30 ports located in the Baltic, North and Mediterranean Seas regions is explored. Based on conducted calculations, a ranking of analysed ports considering their digitalization level was created. The ports were compared within groups of small, medium-sized and large ports. It was estimated that the digitalization level in small and medium-sized ports is about 30% lower than the level of large seaports. The research results may be of interest to seaports striving to assess their level of digitalization and choose the best digital improvement solutions.

scholarly journals m-polar Neutrosophic Generalized Weighted and m-polar Neutrosophic Generalized Einstein Weighted Aggregation Operators to Diagnose Coronavirus (COVID-19)

2020 ◽  
Vol 39 (5) ◽  
pp. 7381-7401
Author(s):  
Masooma Raza Hashmi ◽  
Muhammad Riaz ◽  
Florentin Smarandache
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Comparative Analysis ◽  
Aggregation Operators ◽  
Time Factor ◽  
Innovative Approach ◽  
Neutrosophic Set ◽  
Rational Thinking ◽  
Novel Coronavirus

This manuscript contributes a progressive mathematical model for the analysis of novel coronavirus (COVID-19) and improvement of the victim from COVID-19 with some suitable circumstances. We investigate the innovative approach of the m-polar neutrosophic set (MPNS) to deal with the hesitations and obscurities of objects and rational thinking in decision-making obstacles. In this article, we propose the generalized weighted aggregation and generalized Einstein weighted aggregation operators in the context of m-polar neutrosophic numbers (MPNNs). The motivational aim of this paper is that we present a case study based on data amalgamation for the diagnosis of COVID-19 and examine with the help of MPN-data. By using the proposed technique on generalized operators, we discuss the recovery of the victim with the time factor, proper medication, and some suitable circumstances. Ultimately, we present the advantages and productiveness of the proposed algorithm under the influence of parameter ð to the recovery results. The versatility and superiority of the proposed methodology with some existing approaches can be observed by the comparative analysis.

scholarly journals Multi-Objective Decision Analytics for Short-Notice Bushfire Evacuation: An Australian Case Study

2015 ◽  
Vol 19 ◽  
Author(s):  
Shahrooz Shahparvari ◽  
Prem Chhetri ◽  
Ahmad Abareshi ◽  
Babak Abbasi
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Time Window ◽  
Resource Utilisation ◽  
Decision Analytics ◽  
Multi Objective ◽  
Short Notice ◽  
Australian Case ◽  
Optimisation Model

This paper develops a multi-objective optimisation model to compute resource allocation,shelter assignment and routing options to evacuate late evacuees from affected areas to shelters.Three bushfire scenarios are analysed to incorporate constraints of restricted time-window and potential road disruptions.Capacity and number of rescue vehicles and shelters are other constraints that are identical in all scenarios.The proposed mathematical model is solved by ?-constraint approach.Objective functions are simultaneously optimised to maximise the total number of evacuees and assigned rescue vehicles and shelters.We argue that this model provides a scenario-based decision-making platform to aid minimise resource utilisation and maximise coverage of late evacuees.

scholarly journals The Art and Science of Modeling Decision-Making Under Severe Uncertainty

2007 ◽  
Vol 1 (2) ◽  
pp. 111-136 ◽  
Author(s):  
Moshe Sniedovich
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Decision Making ◽  
Case Analysis ◽  
Worst Case Analysis ◽  
Art And Science ◽  
Worst Case ◽  
Severe Uncertainty ◽  
The Mathematical Model

For obvious reasons, models for decision-making under severe uncertainty are austere. Simply put, there is precious little to work with under these conditions. This fact highlights the great importance of utilizing in such cases the ingredients of the mathematical model to the fullest extent, which in turn brings under the spotlight the art of mathematical modeling. In this discussion we examine some of the subtle considerations that are called for in the mathematical modeling of decision-making under severe uncertainty in general, and worst-case analysis in particular. As a case study we discuss the lessons learnt on this front from the Info-Gap experience.

Use of Mathematical Models in a Mechanical Metal Industry to Improve Production Planning and Control

2021 ◽  
pp. 314-332
Author(s):  
Leoni Pentiado Godoy ◽  
Wagner Pietrobelli Bueno ◽  
Tais Pentiado Godoy ◽  
Clandia Gomes ◽  
Maria Carolina Martins Rodrigues ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Production Planning ◽  
Production Control ◽  
Qualitative Approach ◽  
Production Planning And Control ◽  
Planning And Control ◽  
The Cost ◽  
And Control

This chapter aims to propose an improvement in decision making in the planning sector and production control (PPC) with application of a mathematical model. In the methodology, the qualitative approach was used because the linguistic codifications are interpreted and characterized by a case study applying a questionnaire to the managers of the company of the metal mechanic sector. In this context, six constructs were structured as a proposal for performance improvement, being composed of costs, management, inspection, processes, and capacity. The chapter reports the main results achieved during fuzzy sets application, obtaining a better result compared to FAHP in which there were certain oscillations between the percentage of constructs. The construct prioritized by managers and specialists was the cost construct, reaching 38.60%, being advantageous for the industry when the cost is placed in order of manufacture (subconstruct), followed by the prioritized management construct with 28.50%.

scholarly journals Production sequencing in a flow shop system using optimization and heuristic algorithms

2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Álvaro Caicedo-Rolón Junior ◽  
John Wilmer Parra Llanos
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Performance Measures ◽  
Heuristic Algorithms ◽  
Flow Shop ◽  
Delivery Times ◽  
Time Average ◽  
Reducing Costs ◽  
The Mathematical Model

abstract: The purpose of the research was to determine the sequencing of the production of n jobs in m operations in a small footwear company in an environment of flow shop machine characteristics, which optimizes the total time of completion of the job in the production system (Makespan). We used heuristic algorithms that were applied through Lekin and WinQSB softwares, and for the optimization algorithm we designed a mathematical model that was solved by Juliabox software. Results show that the integer linear programming and local search minimize the makespan with 3807 minutes, and different production sequences for each algorithm, which consider permutation, which improves the traditional way of programming the production in 97 minutes, however, the optimization presents better results in the performance measures of average waiting time, average time of flow, and average job in process. Application of heuristic algorithms proves to be simple and fast, but the mathematical model of optimization designed and encoded in the software is a flexible and valuable tool for decision making in production programming, which could be applied in other footwear companies, and in other productive sectors whose companies have the same characteristics of the case study, reducing costs and improving delivery times.

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

Drawing as a Creative Approach to Researching Extant Garments: A Case Study Involving John Ruskin's Clothing

Costume ◽  
2020 ◽  
Vol 54 (2) ◽  
pp. 202-221
Author(s):  
Ingrid Mida ◽  
Sarah Casey
Keyword(s):  
Research Tool ◽  
John Ruskin ◽  
Lake District ◽  
Curatorial Practice ◽  
Dress History ◽  
Absent Presence

Reading the clues embedded in extant clothing demands both imagination and patience since the subtle marks of wear, use and alteration may only become evident with extended observation and reflection. During the course of a project undertaken in conjunction with the bicentenary celebrations of John Ruskin's birth culminating in the exhibition of Sarah Casey's drawings in Ruskin's Good Looking! (8 February–7 April 2019), the authors studied the garments of John Ruskin at Brantwood, his former home in the Lake District. The life-sized drawings of these garments produced by Casey mapped the absent presence of the former wearer, allowed visitors the opportunity to better see and reflect on Ruskin's clothing, and also revealed the hidden histories of Ruskin's garments. Drawing, the making of marks with meaning, is not an obvious research tool in dress history and curatorial practice but, as this case study shows, can expose subtle details and reveal new insights.

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