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Stephanie Angelina GUNAWAN,Asep HERMAWAN,Anton Wachidin WIDJAJA,Innocentius BERNARTO 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.7
This study aims to analyze the mediating influences of resonance-based self-attitude and brand credibility in a relationship between celebrity endorser credibility and celebrity endorser congruity toward brand purchase intention in the current dynamic business environment. It employs a quantitative research method and reports on a survey, using a questionnaire, including the population of consumers of various instant coffee brands in several cities in Indonesia. The number of respondents in this study was 432 people. The analysis was performed using Partial Least Square Structural Equation Modeling and SmartPLS software. The analysis consisted of descriptive statistics, evaluation of the measurement model, evaluation of the structural model, and hypothesis testing. The results partially support the model developed. The findings suggest that the instant coffee product advertising in Indonesia needs to create brand messages focusing on the formation of resonance-based self-attitude from consumers to increase the influence of celebrity endorser credibility and celebrity endorser congruity, as well as the brand credibility towards the brand purchase intention. This study contributes to the marketing literature and the theory of planned behavior by providing empirical evidence on the relationship between celebrity endorser credibility, celebrity endorser congruity, resonance-based self-attitude, brand credibility, and brand purchase intention.
Route Optimization of Container Ships Using Differential Evolution and Gray Wolf Optimization
Juhriyansyah Dalle,Paitoon Chetthamrongchai,Gunawan Widjaja,Egor Dudukalov,A. Heri Iswanto,Elena Sergeevna Sergushina 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
Container ships carry most of the world's cargo volume. Hence, Maritime transportation forms the backbone of the world merchandise trade. Today, with the advancement of shipbuilding technology and the increasing frequency of maritime transport, determining the optimal route for container ships has become more and more important for ship-ping lines and port managers. Accordingly, in the present study, we intend to investigate the ship routing problem us-ing a mixed integer linear mathematical programming model. In order to solve the proposed model, we have used the meta-heuristic algorithms of differential evolution and gray wolf optimization in MATLAB software. In the end, it was shown that the proposed mathematical model and solution approaches can assist ship operators and terminal managers in making reasonable optimization decisions.
Dadang Mohamad,Alim Al Ayub Ahmed,Gunawan Widjaja,Tawfeeq Alghazali,John William Grimaldo Guerrero,Irina Fardeeva,Alireza Hasanzadeh Kalajahi 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
The problem studied in this paper is the p hub center and the network structure is hierarchical and in three levels; where level one is for demand nodes, level two is for hub nodes, and level three is for central hubs. Central hubs have a complete network and hubs in the network have the capacity constraint. Given that the issue under consideration is for the purpose of transporting perishable goods, Such problems are often used in transportation systems in which customer response time is of great importance and sensitivity; Therefore, the objectives of the proposed model are to find the best location for hubs in the network as well as the best allocation of nodes to hubs so that network transportation costs are reduced and the maximum travel time between each pair of origin destination nodes is minimized. To evaluate the model, a numerical example with CAB dataset is introduced and to review and analyze the results, GAMS software with CPLEX solver is used. The results show that the discount coefficient of central hubs compared to the discount coefficient of second level hubs has the greatest impact on the cost of transportation and travel time.
A Multi-Objective Optimization Model for Relief Facility Location in Crisis Conditions
Alim Al Ayub Ahmed,Jaenudin,Gunawan Widjaja,John William Grimaldo Guerrero,Mustafa M. Kadhim,Konstantin Kolyazov 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
This research was conducted to study the issue of relief facility location hierarchically by consideration of possible road closure during the crisis conditions, road safety, and arrival time of relief facilities under disaster circumstances. High costs are allocated for facilities deployment in a suitable location to meet the demands of injured people. There-fore, location-allocation of emergency facility should be considered in a way to use them for long-term periods. To this end, the extant research designed a multi-objective optimization model to minimize the pre-disaster costs includ-ing costs of facilities deployment and road use, and to minimize the post-disaster costs such as cost transportation in-network roads. Moreover, the innovative part of the studied model in this research examined the road safety and reduction in time taken to have critical facilities in affected areas. To investigate the functional accuracy of the mathematical model, a numerical example with small dimensions was solved using CPLEX Solver, and required sensitivity analysis was described. As the facility location-allocation is an NP-hard issue, two meta-heuristic algorithms were used to solve numerical representations in real dimensions to examine numerical analyses effectively. Results showed that the dragonfly algorithm had the highest efficiency compared to other developed algorithms. The obtained results can be considered as an efficient managerial tool in management organizations involved in the crisis
Alim Al Ayub Ahmed,Mohammed Yousif Oudah Al-Muttar,Gunawan Widjaja,Bulatenko Mariya Andreyevna,Trias Mahmudiono,Aditya Halim Perdana Kusuma Putra,Muneam Hussein Ali,A. Heri Iswanto,Skm Mars,Irman Suhe 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
In this research, the problem of location-hierarchical allocation of crowded facilities has been investigated by consid-ering customers’ priority in serving within the framework of queuing systems. The objective functions of the problem are focused on minimizing the total waiting time of customers and minimizing the maximum unemployment of each facility. The problem model is a multi-objective nonlinear programming model, and to evaluate the efficiency of the model, examples in different dimensions have been solved by a multi-objective genetic algorithm (NSGA-II) based on minimal sorting. Since the performance of meta-heuristic algorithms is highly dependent on their parameters, the parameters of this algorithm are adjusted using the Taguchi design. The results show that the establishment of the priority system has reduced the average waiting time of all customers compared to the shift system, so it can be concluded that if in designing hierarchical facilities, the goal is to reduce the waiting time of a particular class of customers, they should Prioritize.