scholarly journals Contribution to the logistic evaluation system in the transportation process in Santo Domingo, Ecuador

2018 ◽  
Vol 11 (1) ◽  
pp. 72 ◽  
Author(s):  
Rodobaldo Martínez Vivar ◽  
Alexander Sánchez Rodríguez ◽  
Reyner Pérez Campdesuñer ◽  
Gelmar García Vidal

Purpose: The objective of the present research is to design and apply a methodology to evaluate the logistics system in the transportation process in a base vehicle fleet, which contributes to decrease the costs of distribution and to increase the performance of the logistics system of the organization.Design/methodology: The proposal of a holistic technology for the management of this process is carried out, which integrates indicators and tools that improve control and decision-making activities in this area.Findings: The application of the procedure developed in the selected organization contributed to the identification of deficiencies related to the availability of the equipment and the needs of the clients, the low technical availability of the automotive plant, the low utilization of the capacity of the freight vehicles, the absence of a plan of measures to diminish the empty routes of the transport and the overconsumption of fuel due to the accomplishment of extra trips. Aspects that contributed to the redesign of some of the main functions of physical distribution such as itinerary planning, selection of means of transport and analysis of operating indicators, aspects that favored the optimization of the number of trips and, consequently, the adequate use of the equipment and the loads to be transported, observing a saving of 15% in the fuel consumption per load transported.Originality: The originality of the present research lies in the combination of different theories and techniques that contribute from a holistic approach to the logistics evaluation of the transportation process, facilitating the optimization of transportation requirements, its operation and maintenance.

2020 ◽  
Vol 12 (10) ◽  
pp. 4044
Author(s):  
Marko Stokic ◽  
Davor Vujanovic ◽  
Dragan Sekulic

The efficient vehicle procurement is an important business segment of different companies with their own vehicle fleet. It has a significant influence on reducing transport and maintenance costs and on increasing the fleet’s energy efficiency. It is indispensable that managers consider various criteria from several aspects when procuring a vehicle. In that sense, we defined 13 relevant criteria and divided them into four multidisciplinary aspects: Construction-technical, financial, operational, and environmental. Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process (DANP) method was applied to evaluate the significance of defined criteria and aspects and their interdependency. It is established that the three most important criteria for vehicle procurement are vehicle price, vehicle maintenance, and vehicle selling price. The most important aspect is construction technical aspect, while the aspect of the environment is the least important. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to rank eight different vehicles, which were considered by vehicle fleet manager at the observed company. This model assists fleet managers in the selection of the most suitable vehicle for procurement, while significantly reducing decision-making time and simultaneously observing all necessary criteria and their weights. Moreover, we have considered 10 different scenarios to establish whether and how the rank of the observed alternatives would change.


Author(s):  
García-Vidal Gelmar ◽  
Pérez-Campdesuñer Reyner ◽  
Martínez-Vivar Rodobaldo ◽  
Sánchez-Rodríguez Alexander

In this paper the use of the analysis tool sets for defining attributes and determining the importance rank on the criterion of purchase decision of customers addresses, all of which constitutes one of the fundamental steps for designing of any product. Precisely this problematic a large group of professionals from different areas of knowledge in Santo Domingo de los Tsáchilas it faces. This article discusses the usefulness and analysis procedure set shown as a statistical tool to study the process of decision making of customers on the attributes of products and services at the time of purchase.The result of the application was to define the attributes considered by potential customers in the selection of a training program of graduate degree in correspondence with which their design will be made, taking into account the type of university, price, duration course and days of the week will be taught.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yanbin Tan ◽  
Zhe Zhang ◽  
Huili Wang ◽  
Shaobo Zhou

In order to solve the problem on optimal selection of old bridge reinforcement schemes, a decision-making method of gray relation analysis based on fuzzy-AHP weights is proposed. Firstly, the fuzzy-AHP is used to develop the decision index system of old bridge reinforcement schemes and determine the weight of decision indexes. The 0.1–0.9 scale method is introduced as the index judgment criterion, and the weight judgment matrix is established. Through the consistency test, the relative weight vector of each decision index in the index layer is calculated. Secondly, according to the gray relation model of the old bridge reinforcement schemes, the decision matrix is constructed, and the gray relation coefficient matrix is calculated to obtain the gray relation coefficient corresponding to the ideal optimal scheme. Finally, the optimal scheme is determined. Through an engineering example, the reinforcement scheme of a concrete-filled steel tube arch bridge deck system is calculated and analyzed, and the best reinforcement scheme is selected. The optimal selection result is consistent with the actual reinforcement scheme available for the bridge. The decision-making method of gray relation analysis based on fuzzy-AHP weights make the evaluation system more organized and systematic and the index weight more operable and quantitative, reduce the subjective evaluation impact, and make the evaluation result more objective and reliable. Considering the fuzzy and gray information of comparison and selection, the optimal scheme with high feasibility and applicability is selected by the gray relation method.


2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Maroi Agrebi ◽  
Mourad Abed ◽  
Mohamed Nazih Omri

The location selection of distribution centers is one of the important strategies to optimize the logistics system. To solve this problem, under certain environment, this paper presents a new multicriteria decision-making method based on ELECTRE I. The proposed method helps decision-makers to select the best location from a given set of locations for implementing. After having identified decision-makers, the criteria, and the set of locations, the factors influencing the selection are analyzed in order to identify the best location. A sensitivity analysis is then performed to determine the influence of criteria weights on the selection decision. The strength of the proposed method is to incorporate decision-makers’ preferences into the decision-making process. In addition, the proposed method considers both quantitative and qualitative criteria. Finally, the selected solution is validated by both tests of concordance and discordance simultaneously. A case study is provided to illustrate the proposed method.


Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1672 ◽  
Author(s):  
Alptekin Ulutaş ◽  
Darjan Karabasevic ◽  
Gabrijela Popovic ◽  
Dragisa Stanujkic ◽  
Phong Thanh Nguyen ◽  
...  

The main goal of this paper is to propose a Multiple-Criteria Decision-Making (MCDM) approach that will facilitate decision-making in the field of logistics—i.e., in the selection of the optimal equipment for performing a logistics activity. For defining the objective weights of the criteria, the correlation coefficient and the standard deviation (CCSD method) are applied. Furthermore, for determining the semi-objective weights of the considered criteria, the indifference threshold-based attribute ratio analysis method (ITARA) is used. In this way, by combining these two methods, the weights of the criteria are determined with a higher degree of reliability. For the final ranking of the alternatives, the measurement of alternatives and ranking according to the compromise solution method (MARCOS) is utilized. For demonstrating the applicability of the proposed approach, an illustrative case study pointing to the selection of the best manual stacker for a small warehouse is performed. The final results are compared with the ones obtained using the other proved MCDM methods that confirmed the reliability and stability of the proposed approach. The proposed integrated approach shows itself as a suitable technique for applying in the process of logistics equipment selection, because it defines the most influential criteria and the optimal choice with regard to all of them in a relatively easy and comprehensive way. Additionally, conceiving the determination of the criteria with the combination of objective and semi-objective methods enables defining the objective weights concerning the attitudes of the involved decision-makers, which finally leads to more reliable results.


2021 ◽  
Vol 16 (4) ◽  
pp. 10
Author(s):  
Tracy Adeline Ajoi ◽  
Shirley Sinatra Gran ◽  
Agnes Kanyan ◽  
Siti Farah Lajim

The Best Student Award is one of the incentives initiated by an institution to identify potential students who are not only excellent academically, but also possess great leadership skills. Moreover, these skills may also be enhanced which subsequently contribute to the future of society. Nonetheless, one of the greatest challenges faced by evaluators in the selection process include uncertainty and imprecise data in measuring the students’ leadership competencies. Thus, this paper proposes the development of Initiative-Systematic Performance Evaluation (I-SPE) as an initiative tool to measure students’ competencies based on Fuzzy Logic Approach. The study focuses on the selection of the best student based on data collected from a leadership programme – Program Kepimpinan Pewaris Bangsa  (PKPB) conducted at Universiti Teknologi MARA (UiTM) Cawangan Sarawak, Mukah Campus. In the current practice, tie and time-consuming challenges due to the subjectivity and complexity of measurement criteria are involved. Therefore, I-SPE will assist to provide an improved decision-making solution to evaluators during the evaluation process. Fuzzy logic tools used to develop I-SPE allow the experts to introduce any uncertainty and subjectivity into the evaluation system. The development of fuzzy rules in this model is based on five selected attributes, which include leadership, communication, teamwork, discipline and CGPA. Results obtained indicate that the proposed model I-SPE is able to improve decision-making efficiency that would lead to fairness in selecting the best candidate as compared to the conventional method. Keywords: Evaluation, Fuzzy logic, Initiative, Leadership, Student’s Award


2011 ◽  
Vol 4 (4) ◽  
pp. 139-142
Author(s):  
S.PUSHPARANI S.PUSHPARANI ◽  
◽  
Dr.S.SENTHAMILKUMAR Dr.S.SENTHAMILKUMAR

Author(s):  
Lidia K Simanjuntak ◽  
Tessa Y M Sihite ◽  
Mesran Mesran ◽  
Nuning Kurniasih ◽  
Yuhandri Yuhandri

All colleges each year organize the selection of new admissions. Acceptance of prospective students in universities as education providers is done by selecting prospective students based on achievement in school and college entrance selection. To select the best student candidates based on predetermined criteria, then use Multi-Criteria Decision Making (MCDM) or commonly called decision support system. One method in MCDM is the Elimination Et Choix Traduisant la Reality (ELECTRE). The ELECTRE method is the best method of action selection. The ELECTRE method to obtain the best alternative by eliminating alternative that do not fit the criteria and can be applied to the decision SNMPTN invitation path.


Sign in / Sign up

Export Citation Format

Share Document