Research Paper
Supply chain management
Elham Shadkam; Mahdi Parvizi; Reza Rajabi
Abstract
Today, paying attention to the interests of suppliers in supply chain management strategies is one of the important points in the success of long-term and strategic relationships with suppliers. Not paying enough attention to these points sometimes causes irreparable damage to the overall structure of ...
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Today, paying attention to the interests of suppliers in supply chain management strategies is one of the important points in the success of long-term and strategic relationships with suppliers. Not paying enough attention to these points sometimes causes irreparable damage to the overall structure of the organization. In response to this need, researchers have developed and proposed different models according to different approaches. This research has presented a special model with the approach of answering these problems. This approach, which is based on the cuckoo optimization algorithm (COA), can solve the problems in multi-objective methods in addition to single-objective problems. This method based on the COA and the ε-constraint method named COA/ε-Constraint. The general approach of this method is to turn a multi-objective problem into a single-purpose problem, which is associated with increased efficiency. The model studied in this paper, with the aim of creating coordination between buyers and suppliers in the problem of supplier selection, is a three-objective model of cost, quality and delivery time, which is implemented to evaluate the performance of the proposed method. The results show the superiority of the proposed method over similar approaches in terms of creating a Pareto frontier.
Research Paper
Mathematical modelling
Linxin Li; Fengqiong Wang; Wu Dingping
Abstract
Compared with [1], in this paper, We will give first some sufficient conditions under which a (c)-mapping possesses an approximate fixed point sequence (AFPS). And then, we will prove that (c)-mapping has a fixed point. Finally, we will check some special properties of the fixed point sets of these mappings, ...
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Compared with [1], in this paper, We will give first some sufficient conditions under which a (c)-mapping possesses an approximate fixed point sequence (AFPS). And then, we will prove that (c)-mapping has a fixed point. Finally, we will check some special properties of the fixed point sets of these mappings, such as closedness, convexity.
Research Paper
Reliability and Quality Engineering
Tasnim Ahmed Tahasin; Himadri Sen Gupta; Noshin Tasnim Tuli
Abstract
5S is a systematic approach that helps to organize a workplace for increasing efficiency and reduce wasting of productivity by providing an organized safe environment. The objective of this paper is to emphasize the implementation of 5S principles for the workplace by reflecting a tooling problem of ...
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5S is a systematic approach that helps to organize a workplace for increasing efficiency and reduce wasting of productivity by providing an organized safe environment. The objective of this paper is to emphasize the implementation of 5S principles for the workplace by reflecting a tooling problem of a manufacturing unit. This article examines the challenges experienced in the implementation of 5S methodology to optimize labor and safety in a manufacturing department by showing the gap of productivity caused while not having 5S methodology in workplaces. The time consumption analysis of 5S implementation through shadow boarding demonstrates workers who have been able to perform work more efficiently along with a significant reduction of searching time of tools. The results showed that 5S along with the shadow boarding technique creates improvement in efficiency, workspace, equipment search time, working environment, and safety. Consequently, this shadow boarding technique would strongly support the objectives of multinational companies to achieve continuous improvement and higher performance.
Research Paper
Supply chain management
Umme Habiba; B.M. Atiur Rahman Ripon; MD. Tanzil Islam
Abstract
Green supply chain management is defined as the integration of environmental thinking into supply-chain management, including product design, material sourcing and selection, manufacturing processes and procurement. Generally, the sustainable supply chain is built on three dimensions: social, economic, ...
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Green supply chain management is defined as the integration of environmental thinking into supply-chain management, including product design, material sourcing and selection, manufacturing processes and procurement. Generally, the sustainable supply chain is built on three dimensions: social, economic, and environmental, while the green supply chain emphasizes on the environmental issue considering an economic result. Although many works of sustainable growth heed attention on the profit margin as a first priority, however, the green supply chain focuses on the environmental issue along with an efficacious process, which is a beneficial to the environment as well. There are over 200 papers about Green Supply Chain Management. But among them, very few papers focus on the Pharmaceutical Industry, specially focusing on the supplier. But this paper focuses on implementing Green Supply Chain Management on Pharmaceutical Industry. Multi-objective Optimization Model has been applied here. Performance of the proposed model is evaluated by the Pycharm Solver of Python.
Research Paper
Data mining
Farahnaz Ahang; Abdolmajid Imani; Meysam Abbasi; Hassan ghaffari; Mohamad Mehdi
Abstract
The main goal of this research is to identify key or strategic customers using the RFM model. In this part after determining the amount of RFM (recency, frequency, and monetary) in, registered transactions of one store in Iran (Refah Chain Store) at a time about seven months from 23 September 2017 to ...
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The main goal of this research is to identify key or strategic customers using the RFM model. In this part after determining the amount of RFM (recency, frequency, and monetary) in, registered transactions of one store in Iran (Refah Chain Store) at a time about seven months from 23 September 2017 to 20 April 2018 (71161 transactions as final inputs were used), the weight of each variable according to the fuzzy analytic hierarchy process was determined. At the next stage customers using the K-means and Two-step’s algorithms were clustered and K-means the method according to the Silhouette index was the better algorithm of this letter. According to the results, customers were segmented into three parts and customer lifetime value was calculated and for identifying key or strategic customer segmentation, the clustering process was repeated and priorities of all clusters were indicated. Results of data analysis are below: Segment 3: customers of this segment were 3425 members and 11.5% of all company customers were the most loyal customers those are identified as golden customer's segment and all of the variables were higher than average of all data. This research identified the valuable customers for the shop, and it gives them a chance to choose goal customers and invest in them, but it doesn’t mean that the shop doesn’t pay attention to the other customers, and they limited their effort to satisfy their profitable customers but it means that they allocated a suitable budget for performing the relationship programs with customers
Research Paper
Engineering Optimization
Fatin Ishraq; Rumaisa Ahmed; Joytun Nisa Joti
Abstract
3D printing or additive manufacturing is a technology in which 3D objects are printed by depositing a thin layer of material layer-by-layer until a final product is produced. In this research work, it has been focused on the fabrication of a Portable 3D Printer for the manufacturing of sample parts by ...
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3D printing or additive manufacturing is a technology in which 3D objects are printed by depositing a thin layer of material layer-by-layer until a final product is produced. In this research work, it has been focused on the fabrication of a Portable 3D Printer for the manufacturing of sample parts by using Fused Deposition Modeling (FDM) process. The primary process parameters such as nozzle temperature, extrusion speed and fill density in addition to their interactions are studied. It has been observed that these process parameters influence the dimensional accuracy & extrusion time of the part produced by the process of Fused Deposition Modeling (FDM). The main objective of the research work is to create a reliable and cost efficient 3-D printer and to minimize the dimensional variation that usually occurs to plastic parts produced by 3D printers. Cartesian mechanism has been used where the print bed moves in the Z direction and the extruder moves in both the X & Y directions. The 3D printing filament that has been used is made of Polylactic acid or polylactide (PLA). The process involved 3D solid modeling to design, 3D printing with coated adhesive applied on the printing platform, measurement of dimensional variation of the printed parts and statistical analysis. Response surface methodology (RSM) based desirability analysis has been employed for optimization of FDM process parameters namely, nozzle temperature, extrusion speed and fill density. Mathematical models were developed and tested for accuracy & extrusion time using Design Expert 11 software for RSM application.
Review Paper
Other
Hamiden Abdelwahed Khalifa
Abstract
fuzzy parameters represented as (α,β) interval-valued fuzzy numbers instead of the normal fuzzy numbers. Using the signed distance ranking, the problem converted into the corresponding crisp multi objective transportation problem. Then, the solution method introduced by [8] for solving the ...
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fuzzy parameters represented as (α,β) interval-valued fuzzy numbers instead of the normal fuzzy numbers. Using the signed distance ranking, the problem converted into the corresponding crisp multi objective transportation problem. Then, the solution method introduced by [8] for solving the problem is applied. This method provides the ideal and the set of all (α,β) fuzzy efficient solutions. The advantage of this method is more flexible than the standard multi-objective transportation problem, where it allows the decision maker to choose the (α,β) levels of fuzzy numbers he is willing. A numerical example to illustrate the
Research Paper
Mathematical modelling
Eshetu Dadi Gurmu; Boka Kumsa Bole; Purnachandra Rao Koya
Abstract
In this paper, optimal control theory is applied to Human Papillomavirus (HPV) and Human immunodeficiency viruses (HIV) coinfection model given by using a system of ordinary differential equations. Optimal control strategy was employed to study the effect of combining various intervention strategies ...
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In this paper, optimal control theory is applied to Human Papillomavirus (HPV) and Human immunodeficiency viruses (HIV) coinfection model given by using a system of ordinary differential equations. Optimal control strategy was employed to study the effect of combining various intervention strategies such as prevention, screening and treatment to control the transmission dynamics of Human Papilloma Virus and Human immunodeficiency viruses co infection diseases. The necessary conditions for the existence of the optimal controls were established using Pontryagin’s Maximum Principle. Optimal control system was performed with help of Runge-Kutta forward-backward sweep numerical approximation method. Finally, numerical simulation illustrated that a combination of prevention, screening and treatment is the most effective strategy to minimize the disease from the community. HPV-HIV coinfection remain a challenge especially in developing countries, but from results of this study we recommend that, the government should introduce education programmers on the importance of voluntary and routinely screening on HPV-HIV co infection.
Research Paper
Inventory, logistics, and transportation
Filscha Nurprihatin; Metta Gotami; Glisina Dwinoor Rembulan
Abstract
This paper discusses the inefficient and inaccurate raw material supply at a food company which results in a backlog. This means the overstock occurs so that the improvement of inventory control needs to be done. ABC classification is firstly utilized as input for Material Requirements Planning (MRP). ...
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This paper discusses the inefficient and inaccurate raw material supply at a food company which results in a backlog. This means the overstock occurs so that the improvement of inventory control needs to be done. ABC classification is firstly utilized as input for Material Requirements Planning (MRP). This paper focuses on four products which are classified into A class. Then, this paper discusses the Triple Exponential Smoothing as the forecasting method. Aggregate planning is also conducted for better production planning. The results of aggregate planning provide solutions to increase the workforce to balance production capacity by the number of demands. Squared Coefficient of Variation (SCV) calculations indicates the demand follows a static pattern. Therefore, the appropriate lot sizing method is the Economic Order Quantity (EOQ) to carry out the production needs. Finally, this paper uses capacity planning using Rough-Cut Capacity Planning (RCCP) and Capacity Requirement Planning (CRP) methods. As a result, the capacity meets the Master Production Schedule (MPS) as well as MRP and they are feasible to be implemented.
Research Paper
Other
davood kiakojouri; zahra mohammadpour; mohammad javad taghipouriyan gilani
Abstract
Accounting practice believes that people, like economic traders, seek to make the greatest profit in their behavior in different contexts. These people are very calculating and seek to invest in friendly relationships that have made the target people indebted to them. To be used in times of need of this ...
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Accounting practice believes that people, like economic traders, seek to make the greatest profit in their behavior in different contexts. These people are very calculating and seek to invest in friendly relationships that have made the target people indebted to them. To be used in times of need of this capital and to give a platform for legal and illegal requests in the future.
The purpose of this study is to find and rank the factors affecting accounting action for this purpose, 29 Latin articles and 78 Persian articles that were selected by snowball method were used after theoretical saturation, and textual content analysis was performed Then, the obtained data were provided to 14 experts by a questionnaire And after three rounds of qualitative Delphi, 27 main effective criteria were identified and then, using network analysis technique and Dimatel, internal relations and prioritization were examined The results based on network analysis method showed that utilitarianism was the highest factor and competitive advantage factor was the last factor affecting accounting action. Also, based on Dimatel's method, we came to the conclusion that the factor of opportunistic behavior was the most effective and the factor of selfish individualism was the most effective among the factors
Review Paper
Fuzzy optimization
Ladji Kané; Hawa Bado; Moctar Diakité; Moussa Konaté; Souleymane Kané; Koura Traoré
Abstract
The aim of this paper is to introduce a new technique for improve the methods for solving the Semi-fully Fuzzy Linear Programming Problems. An algorithm is proposed to find the fuzzy optimal solution of Semi-fully Fuzzy Linear Programming Problems. This technique is also best fuzzy optimal solution in ...
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The aim of this paper is to introduce a new technique for improve the methods for solving the Semi-fully Fuzzy Linear Programming Problems. An algorithm is proposed to find the fuzzy optimal solution of Semi-fully Fuzzy Linear Programming Problems. This technique is also best fuzzy optimal solution in the literature and illustrated with numerical examples.
Research Paper
Supply chain management
artaphon jo chansamut
Abstract
The objectives of research to design and to assess the suitability of supply chain management information system model for quality assurance in educational management for ASEAN University Network Quality Assurance (AUN-QA). The samples are 15 experts selected by purposive sampling. The data is analyzed ...
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The objectives of research to design and to assess the suitability of supply chain management information system model for quality assurance in educational management for ASEAN University Network Quality Assurance (AUN-QA). The samples are 15 experts selected by purposive sampling. The data is analyzed by means and standardized deviations statistically. The research result shows that supply chain management information system model for quality assurance in educational management for ASEAN University Network Quality Assurance (AUN-QA) is consisted of 5 key which are main components, suppliers, manufacturer, customer, consumers. The data analyzed by using arithmetic mean and standard deviation. The assessment of supply chain management information system model for quality assurance in educational management for ASEAN University Network Quality Assurance (AUN-QA).The results showed that the model was validated at a “high” level, suggesting that supply chain management information system model for quality assurance in educational management for ASEAN University Network Quality Assurance (AUN-QA) aims to support sustainable information system development.
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