scholarly journals A Hybrid Mathematical and Decision-Making Model to Determine the Amount of Economic Order considering the Discount

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Hanif Hazrati ◽  
Abbas Barzegarinegad ◽  
Hamid Siaby-Serajehlo
Keyword(s):  
Analytic Hierarchy ◽  
Heuristic Solution ◽  
Solution Approach ◽  
Proposed Model ◽  
Comparison Results ◽  
Business Conditions ◽  
The Cost ◽  
Analytic Hierarchy Process Method ◽  
Ordering Systems ◽  
Decision Making Model

Suppliers are one of the most important parts of the supply chain, whose performance indirectly has a significant impact on customer satisfaction. Because customer demands are different from organizations, organizations have to consider different criteria for selecting their suppliers. In recent years, many studies in this field have been conducted using various criteria and methods. The main purpose defined in this research is to develop a model for simultaneous item ordering systems in real business conditions. In this research, a model is developed by considering the two objectives of minimizing overall costs and maximizing the amount of products ordered from different suppliers based on their weight value. Weights are calculated based on different criteria using the fuzzy analytic hierarchy process method for each supplier in different periods. Then, due to the multiobjective nature of the model, the proposed model has been solved by using the epsilon constraint in GAMS and nondominated sorting genetic algorithm II in MATLAB software. Considering the simultaneous order of inventory of multiproduct with several suppliers in several periods of time in discrete space with discount is one of the contributions of this research. To validate the proposed model, the results of the exact solution are compared with the meta-heuristic solution. Comparison results and assessment metrics indicate that the results of the proposed solution approach with an error of less than 1% had good performance. The results show that the system cost increases, by increasing the amount of discount, because of the increase in the amount of demand. Therefore, with a 30% increase in the discount, the system costs will increase to 36,496 units. Also, with a 20% reduction, the cost reduction will be reduced to 14,170 units.

A novel MCDM model for prioritizing the renewable power plants’ construction

2019 ◽  
Vol 30 (2) ◽  
pp. 383-399 ◽  
Author(s):  
Fatima Sedady ◽  
Mohammad Ali Beheshtinia
Keyword(s):  
Power Plants ◽  
Environmental Aspects ◽  
Tidal Power ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Renewable Power ◽  
Comparison Results ◽  
Criteria Weights ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Purpose The purpose of this paper is to propose a new multi-criteria decision making (MCDM) technique to determine the priority of renewable power plants construction conceding technical, economic, social, political and environmental aspects. Design/methodology/approach First, a comprehensive set of 5 main criteria of technical, economic, social, political and environmental are considered for renewable power plants construction, each including 5 sub-criteria (a total of 25 sub-criteria). Then, the analytic hierarchy process method is used to determine the weight of the criteria. Finally, a new MCDM technique proposed to prioritize the construction of renewable power plants, named TOPKOR. To demonstrate the capability of the proposed method, a case study is conducted in which six types of renewable power plants are evaluated. Findings Comparison results of the main criteria weights show that the “economic” [0.403], “environmental” [0.296] and “technical” [0.17] aspects have the highest importance, respectively. The results also show that solar, hydroelectric and wave and tidal power plants have the highest priority for construction, respectively. Research limitations/implications The result of this research could be useful for related decision makers in construction of the renewable power plants to have a comprehensive set of criteria in technical, economic, social, political and environmental aspects in their decision process. Originality/value This research provides a comprehensive set of criteria and sub-criteria for prioritizing the renewable power plants. Moreover, a new hybrid MCDM technique is introduced for prioritizing the construction of power plants.

Green Cloud Computing

2014 ◽  
pp. 202-214 ◽  
Author(s):  
Haibo Wang ◽  
Da Huo
Keyword(s):  
Cloud Computing ◽  
Site Selection ◽  
Social Issues ◽  
Multiple Criteria Decision Making ◽  
Neighborhood Search ◽  
Solution Approach ◽  
Proposed Model ◽  
Selection Decision ◽  
Decision Making Model ◽  
Solution Methodology

This chapter considers the data center site selection problem in cloud computing with extensive reviews on site selection decision models. The factors considered in the site selection include economic, environmental, and social issues. After discussing the environmental impact of data centers and its social implications, the authors present a nonlinear multiple criteria decision-making model with green computing criteria and solve the problem by using a variable neighborhood search heuristic. The proposed model and solution methodology can be applied to other site selection problems to address the environmental awareness, and the results illustrate both the robustness and attractiveness of this solution approach.

A multibelief analytic hierarchy process and nonlinear programming approach for diversifying product designs: Smart backpack design as an example

2020 ◽  
Vol 234 (6-7) ◽  
pp. 1044-1056 ◽  
Author(s):  
Yu-Cheng Lin ◽  
Toly Chen
Keyword(s):  
Nonlinear Programming ◽  
Analytic Hierarchy Process ◽  
Programming Model ◽  
Programming Approach ◽  
Analytic Hierarchy ◽  
Nonlinear Programming Model ◽  
Judgment Matrix ◽  
The Cost ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Owing to the cost constraint, it is difficult to incorporate all critical features into a single product design. To deal with this issue, analytic hierarchy process is a well-known method that compares the relative priorities of critical features. This study aims to illustrate that the judgment of a designer can be used to generate multiple diversified product designs. To this end, this study proposed a multibelief analytic hierarchy process and nonlinear programming approach. In the proposed methodology, a decision maker’s judgment matrix is decomposed into several single-belief judgment matrices that are more consistent than the original judgment matrix and represent diversified points of view regarding the relative priorities of factors. To this end, a nonlinear programming model is established and optimized. The proposed methodology was applied to a smart backpack design problem. It was concluded that a designer’s judgment was often inconsistent, which was ignored in the conventional analytic hierarchy process method but could be employed to diversify product designs.

scholarly journals A Fuzzy-Based Decision-Making Model for Improving the Carrying Capacity of Ship Locks: A Three Gorges Dam Case

2019 ◽  
Vol 7 (8) ◽  
pp. 244
Author(s):  
Shaoyue Shi ◽  
Danhong Zhang ◽  
Yixin Su ◽  
Chengpeng Wan ◽  
Mingyang Zhang ◽  
...  
Keyword(s):  
Decision Making ◽  
Carrying Capacity ◽  
Real Life ◽  
Three Gorges Dam ◽  
Three Gorges ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Order Preference ◽  
Real Life Situation ◽  
Decision Making Model

This paper develops a decision-making model to assist the improvement of the carrying capacity of ship locks by combing fuzzy logic, the analytic hierarchy process (AHP) method, and the technique for order preference by similarity to an ideal solution (TOPSIS). A three-level hierarchical structure is constructed to identify the key factors influencing the carrying capacity of ship locks from the aspects of ship locks, vessels, environment, and administration. On this basis, a series of targeted strategies have been put forward to improve the carrying capacity of ship locks, and the TOPSIS method is applied to rank these strategies in terms of their performance. A case study of the five-stage dual-track ship lock of the Three Gorges Dam in China has been conducted to demonstrate the feasibility and rationality of the proposed model, and correlation analysis is conducted to verify the identified influencing factors in order to eliminate potential bias which may be generated from using AHP. The results obtained from the proposed methods are consistent with the real-life situation to a certain extent, indicating that the proposed method can provide a useful reference for improving the carrying capacity of ship locks.

scholarly journals Simulation of Pedestrian Crossing Behaviors at Unmarked Roadways Based on Social Force Model

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Cao Ningbo ◽  
Wei Wei ◽  
Qu Zhaowei ◽  
Zhao Liying ◽  
Bai Qiaowen
Keyword(s):  
Simulation Models ◽  
Force Model ◽  
Extended Model ◽  
Social Force ◽  
Social Force Model ◽  
Proposed Model ◽  
Comparison Results ◽  
Pedestrian Crossing ◽  
Decision Making Model ◽  
Gap Acceptance Theory

Limited pedestrian microcosmic simulation models focus on the interactions between pedestrians and vehicles at unmarked roadways. Pedestrians tend to head to the destinations directly through the shortest path. So, pedestrians have inclined trajectories pointing destinations. Few simulation models have been established to describe the mechanisms underlying the inclined trajectories when pedestrians cross unmarked roadways. To overcome these shortcomings, achieve solutions for optimal design features before implementation, and help to make the design more rational, the paper establishes a modified social force model for interactions between pedestrians and vehicles at unmarked roadways. To achieve this goal, stop/go decision-making model based on gap acceptance theory and conflict avoidance models were developed to make social force model more appropriate in simulating pedestrian crossing behaviors at unmarked roadways. The extended model enables the understanding and judgment ability of pedestrians about the traffic environment and guides pedestrians to take the best behavior to avoid conflict and keep themselves safe. The comparison results of observed pedestrians’ trajectories and simulated pedestrians’ trajectories at one unmarked roadway indicate that the proposed model can be used to simulate pedestrian crossing behaviors at unmarked roadways effectively. The proposed model can be used to explore pedestrians’ trajectories variation at unmarked roadways and improve pedestrian safety facilities.

A novel model for risk management of outsourced construction projects using decision-making methods: a case study

2020 ◽  
Vol 10 (2) ◽  
pp. 97-123 ◽  
Author(s):  
Amin Mahmoudi ◽  
Mehdi Abbasi ◽  
Xiaopeng Deng ◽  
Muhammad Ikram ◽  
Salman Yeganeh
Keyword(s):  
Decision Making ◽  
Construction Projects ◽  
Project Managers ◽  
Analytic Hierarchy ◽  
Suitable Alternative ◽  
Content Type ◽  
Proposed Model ◽  
The Cost ◽  
First Time

PurposeSelecting a suitable contract to outsource construction projects is an ongoing concern for project managers and organizational directors. This study aims to propose a comprehensive model to manage the risks of outsourced construction project contracts.Design/methodology/approachTo employ the proposed model, firstly, the types of contracts and risks in the organization should be identified, then, to prioritize the contracts, the identified risks are considered as criteria. After receiving the experts' opinions, the best–worst method (BWM) integrated with grey relation analysis (GRA) method was used to prioritize the contracts. BWM and GRA are multi-criteria decision-making methods with different approaches and applications. In the current study, BWM has been employed to calculate the weights of criteria because it has better performance than other methods such as the analytic hierarchy process (AHP). After calculating the weights of criteria, the GRA method has been utilized for ranking the alternatives.FindingsAccording to the results obtained from the case study, the cost plus award fee contract is the most suitable alternative for outsourcing construction projects. The proposed methodology can be practically applied through different types of the projects such as construction or “engineering, procurement and construction”.Originality/valueTo the best of our knowledge, this is the first time a conceptual model has been proposed to select an appropriate contract for construction projects. Also, for the first time, the BWM integrated with GRA method has been used to prioritize project contracts based on the potential risks. The proposed model can contribute to project managers for selecting a suitable contract with the least risk in construction projects.

Iran Solutions against the Economic Sanctions: Analytic Hierarchy Process Approach

2013 ◽  
Vol 2 (1) ◽  
pp. 23
Author(s):  
Farkhonde Jabalameli ◽  
Ehsan Rasoulinezhad
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Economic Sanctions ◽  
Analytic Hierarchy ◽  
Nuclear Program ◽  
Analytic Hierarchy Process Method ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Nuclear Program Of Iran ◽  
Process Method

Sanctions are penalties or limited program against some societies, countries or nations. Sanction usually consists of a ban on the sale and shipment of products to a country and on the purchase of its exports. Some countries have done it in various types against Iran since 1979. Recently due to nuclear program of Iran, the number of sanctions have raised dramatically.  However, Iran can definitely manage and overcome them with appropriate policies and decisions. In this paper we evaluate some chosen solutions of Iran in front of economic  sanctions (ES) using a multi attributes decision model named analytic hierarchy process method in three clusters as the local ,regional and global scopes. The results showed the efficiency of this decision making model in these sanctions. The results also indicate the best strategies to reduce and acting proactively against economic sanctions.

Study on Cost Decision Model Based on BIM and AHP

2014 ◽  
Vol 584-586 ◽  
pp. 2205-2208 ◽  
Author(s):  
Jian Wen Cao ◽  
Hao Kai Zheng
Keyword(s):  
Decision Model ◽  
Cost Management ◽  
Secondary Development ◽  
Analytic Hierarchy ◽  
Model Based ◽  
Development Technology ◽  
The Cost ◽  
Cost Plan ◽  
Decision Making Model ◽  
Hierarchy Process

An optimal cost decision is the premise of cost plan and the important way to realize the goal of cost and increase economic efficiency. At the same time, the correctness of the cost decision depends on accurate cost information.This paper builds the cost decision-making model based on the BIM with Revit API secondary development technology and the analytic hierarchy process (AHP), so as to provide methods for the cost decision of construction project and promote the application of BIM in cost management.

scholarly journals A Novel Vaccine Selection Decision-Making Model (VSDMM) for COVID-19

Vaccines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 718
Author(s):  
Sayed F. Abdelwahab ◽  
Usama H. Issa ◽  
Hossam M. Ashour
Keyword(s):  
Decision Making ◽  
Cost Savings ◽  
Analytic Hierarchy ◽  
Related Factors ◽  
Proposed Model ◽  
Criteria Weights ◽  
Selection Decision ◽  
Vaccine Availability ◽  
Decision Making Model ◽  
Hierarchy Process

Selecting a vaccine for fighting a pandemic is one of the serious issues in healthcare. Novel decision models for vaccine selection need to be developed. In this study, a novel vaccine selection decision-making model (VSDMM) was proposed and developed, based on the analytic hierarchy process (AHP) technique, which assesses many alternatives (vaccines) using multi-criteria to support decision making. To feed data to the VSDMM, six coronavirus disease-19 (COVID-19) vaccines were selected in a case study to highlight the applicability of the proposed model. Each vaccine was compared to the others with respect to six criteria and all criteria were compared to calculate the relative weights. The proposed criteria include (1) vaccine availability; (2) vaccine formula; (3) vaccine efficacy; (4) vaccine-related side effects; (5) cost savings, and (6) host-related factors. Using the selected criteria, experts responded to questions and currently available COVID-19 vaccines were ranked according to their weight in the model. A sensitivity analysis was introduced to assess the model robustness and the impacts of changing criteria weights on the results. The VSDMM is flexible in terms of its ability to accept more vaccine alternatives and/or more criteria. It could also be applied to other current or future pandemics/epidemics in the world. In conclusion, this is the first report to propose a VSDMM for selecting the most suitable vaccines in pandemic/epidemic situations or any other situations in which vaccine selection and usage may be deemed necessary.

scholarly journals DETEKSI DINI PENYAKIT BALITA MENGGUNAKAN ALGORITMA SORENSEN BERBOBOT

2021 ◽  
Vol 9 (02) ◽  
pp. 60-67
Author(s):  
Nur Kharisa Umami ◽  
Setyawan Wibisono
Keyword(s):  
Expert System ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Case Based Reasoning ◽  
Analytic Hierarchy ◽  
Comparison Results ◽  
Similarity Algorithm ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Case Based

There are still many parents who do not have sufficient understanding in terms of toddler disease. One way to provide education is the availability of a system that can be used for consultation based on the symptoms of illness experienced by toddlers and the actions needed to overcome them. The system that will be built is an expert system that can relatively provide suggestions for solutions to children's health problems using the Case Based Reasoning (CBR) method. namely an expert system that uses case-based reasoning methods, namely looking for similarities of a disease compared to a disease that has existed before. In this study, the CBR method was combined with a weighting process using the pairwise comparison method which was within the scope of the AHP (Analytic Hierarchy Process) method. In comparing consultations with old diseases that already exist in the system, and looking for similarities from the comparison results, the Sorensen similarity algorithm is used. This study resulted in weights with 3 symptom categories, namely mild symptoms with a weight of 0.09, moderate symptoms with a weight of 0.24 and severe symptoms with a weight of 0.67 and will recommend several diseases with a similarity above 0.5 and diseases with a similarity below 0.5 will be entered into the revise table to find a solution.

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