scholarly journals Evaluation of the logistics system development scenarios: Case study of the trading company

Tehnika ◽  
2020 ◽  
Vol 75 (4) ◽  
pp. 343-354
Author(s):  
Snežana Tadić ◽  
Slobodan Zečević ◽  
Mladen Krstić

The paper presents the procedure for selecting a scenario for the development of the logistics system in a company with a developed trading and logistics network, but also with the significant supply problems. In order to solve the existing logistics problems, but also to respond to future requirements and business plans, four logistics system development scenarios are defined. Each scenario has certain characteristics which can be seen as the advantages or disadvantages in the comparative analysis. Since the choice of development scenarios depends on several factors, their ranking in terms of different criteria requires the application of multi-criteria decision-making (MCDM) methods. A hybrid model based on a combination of the fuzzy AHP (Analytical Hierarchy Process) and fuzzy VIKOR (Višekriterijumska Optimizacija i kompromisno Rešenje) methods was used to solve the problem.

Author(s):  
Arfan Sansprayada ◽  
Kartika Mariskhana

Abstract—The need for information system development in a company is a basic requirement that must be met by each company in order to run its business processes properly. This is the basic key in a company in order to provide maximum results to find as many profits or profits. Application development or requirements in the application also provide speed for employees to carry out their activities to work properly and optimally. The development of the era requires that companies must be productive and have innovations so that the business wheel of the company can run well. This is based on the development of technology that is so fast that it requires special expertise in its application. This research is expected to be able to help some problems that exist in a company. Where its application can make it easier for employees to carry out their respective duties and roles in order to maximize their potential. For companies, the application of this application can accommodate the company's business wheels so that they can be properly and correctly documented .   Keywords : Systems, Information, Applications


2014 ◽  
Vol 8 (1) ◽  
pp. 354-357 ◽  
Author(s):  
Hong Xiao ◽  
Xiaoliang Cheng ◽  
Cilan Zou

Urban underground logistics system is a newly emerging concept, and there is no molded sample project to provide reference information. So there exists much uncertainty in its development, and such uncertainty will have some impact on overall development of the system. In this paper, gray analytic hierarchy process analysis will be used to evaluate the risk factors in the development of urban underground logistics system. And then, we use the empirical analysis to quantify the risk of the development of urban underground logistics and provide references for the development of urban underground logistics system.


Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.


2020 ◽  
Vol 39 (3) ◽  
pp. 4557-4576
Author(s):  
Abdullah Türk ◽  
Murat Özkök

The shipyard facility location selection (FLS) decision is a critical process that involves conflicting, qualitative, and quantitative criteria. Multi-Attribute Decision Making (MADM) methods are used as a powerful tool to overcome this complex problem. Today, using these methods in an integrated way, more accurate, efficient, and systematic results are obtained in solving complex issues such as FLS, which contains an uncertain structure. This paper proposes a framework for the weighting of criteria and ranking potential feasible locations (alternatives) using the combination of fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) methods. While fuzzy AHP determines the importance values of the criteria by pairwise comparisons, fuzzy TOPSIS prioritizes the alternatives using the relative weights obtained with Fuzzy AHP. The integration of these two techniques provides a robust approach considering the results obtained for the shipyard FLS decision. The applicability of the proposed method is expressed in Turkey by a case study of the shipyard FLS decision.


2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Funda Samanlioglu

In this study, a fuzzy AHP-VIKOR method is presented to help decision makers (DMs), especially physicians, evaluate and rank intervention strategies for influenza. Selecting the best intervention strategy is a sophisticated multiple criteria decision-making (MCDM) problem with potentially competing criteria. Two fuzzy MCDM methods, fuzzy analytic hierarchy process (F-AHP) and fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (F-VIKOR), are integrated to evaluate and rank influenza intervention strategies. In fuzzy AHP-VIKOR, F-AHP is used to determine the fuzzy criteria weights and F-VIKOR is implemented to rank the strategies with respect to the presented criteria. A case study is given where a professor of infectious diseases and clinical microbiology, an internal medicine physician, an ENT physician, a family physician, and a cardiologist in Turkey act as DMs in the process.


2018 ◽  
Vol 154 ◽  
pp. 01058
Author(s):  
Elisa Kusrini ◽  
Fadrizal Novendri ◽  
Vembri Noor Helia

Warehouse performance measurement is needed to improve performance of logistics system. In order to improve warehouse performance, it is necessary to identify Key Performance Indicator (KPI). Different warehouses have different KPI, therefore this research aims to identify the most important KPI of warehouse so that warehouse manager can determine corrective actions in their warehouse efficiently and effectively. In this research, 25 KPI of warehouse are identified in five warehouse activities based on Frazelle model. The most important KPI are then determined in each warehouse activity using Analytical Hierarchy Process (AHP). Warehouse performance are measured and final score is determined using SNORM. Improvement steps are proposed base on benchmarking among warehouses. Warehouse performance measurement is conducted in 5 construction’s material warehouses located in Yogyakarta, Indonesia. From this study, it is found that most important KPI for receiving is productivity (receive per man-hour), KPI for put away is cycle time (put away cycle time), KPI for storage is utilization (% location and cube occupied), KPI for order picking is cycle time (order picking cycle time) and KPI for shipping is productivity (order prepared for shipment per man-hour). Improving warehouse performance could be done by comparing warehouse performance with the best performance among peer group.


2021 ◽  
Vol 16 (2) ◽  
pp. 143-172
Author(s):  
May Lwin ◽  
Kriengsak Panuwatwanich

ABSTRACT To accommodate its increasing population, the Myanmar government has planned to implement smart city projects in Yangon and Mandalay by 2021 and to build 1 million homes by 2030. However, such projected growth does not coincide with Myanmar’s current level of preparedness for sustainable development. Myanmar presently has no standards and specifications for green buildings; it solely relies on the adoption of those from overseas, which may not always be compatible with the unique context of Myanmar. Hence, this study was aimed to identify appropriate green building assessment indicators for Myanmar as an important first step for future rating system development. Nine categories and forty-eight criteria were initially identified by reviewing the widely adopted seven rating systems and investigating existing certified green buildings. The Fuzzy Analytic Hierarchy Process (Fuzzy AHP) was used to determine and rank the importance levels of the identified assessment indicators. Results showed that “energy efficiency” and “water efficiency” are the most crucial categories with weights of 17.48% and 13.95%, respectively. Compared to other rating system standards, “waste and pollution” was distinctively found as an important category for Myanmar. Energy-efficient architectural design was ranked as the highest priority among all criteria. These findings serve as a building block for the future development of a Myanmar green building rating system by revealing assessment categories and criteria that are most relevant to Myanmar’s built environment.


2011 ◽  
Vol 204-210 ◽  
pp. 1588-1593 ◽  
Author(s):  
Shou Ming Chen ◽  
Ru Li

The group-buying online, a boom of e-commerce phenomenon, expands rapidly in China. Hence, the evaluation of group-buying website is essential for CEO to improve their website performance and for consumers to select the platform to purchase. However, the evaluation of group-buying website is a multiple-criteria decision making (MCDM) problem that is not easy to determine. For this reason, we propose analytical hierarchy process based approaches Fuzzy AHP, to evaluate the group-buying websites. In addition, a case study is presented to demonstrate how the approach can help in solving such problems in practice.


Author(s):  
Danijela Tuljak-Suban ◽  
Patricija Bajec

The Analytic Hierarchy Process (AHP) is, in literature, the most frequently used selection method generally in association with fuzzy logic. In this article some incongruities in the use of fuzzy AHP detected in the literature are presented such as improper use of the defuzzification methods and weak consistency checks of the comparison matrix that in case of scattered comparison matrix could produces results that are clearly a contradiction. We demonstrate how even a careful definition of the third party logistics providers (3PLP) selection criteria may lead to improper results, if the appropriate methods of defuzzification are not used and the concept of “vague” is not well interpreted, both in the comparison phase and in the calculation phase.


Mathematics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 82
Author(s):  
Vecihi Yiğit ◽  
Nazlı Nisa Demir ◽  
Hisham Alidrisi ◽  
Mehmet Emin Aydin

Efficient and uninterrupted energy supply plays a crucial role in the quality of modern daily life, while it is obvious that the efficiency and performance of energy supply companies has a significant impact on energy supply itself and on determining and finetuning the future roadmap of the sector. In this study, the performance and efficiency of energy supply companies with respect to productivity is investigated with reference to a case study of an electricity distribution company in Turkey. The factors affecting the company’s performance and their corresponding weight have been determined and obtained using the analytical hierarchy process (AHP) and the Fuzzy AHP methods, two well-known multi-criteria decision-making methods, which are widely used in the literature. The results help demonstrate that the criteria obtained to evaluate the company’s energy supply performance play a crucial role in developing strategies, policies and action plans to achieve continuous improvement and consistent development.


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