Research Paper
Supply chain management
Artaphon Chansamut
Abstract
The research about information system model for educational management in supply chain for Thai higher education institutions. The objectives of research to design and to assess the suitability of an information system model for educational management in supply chain for Thai higher education institutions. ...
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The research about information system model for educational management in supply chain for Thai higher education institutions. The objectives of research to design and to assess the suitability of an information system model for educational management in supply chain for Thai higher education institutions. The sample group consisted of ten experts in the field of information system, supply chain and curriculum. The data is analyzed by means and standardized deviations statistically. The research result shows that information system model for educational management in supply chain for Thai higher education institutions is consisted of 7 key elements which are 1) main elements, 2) raw materials, 3) suppliers, 4) manufacturer, 5) service provider, 6) finished product, and 7) customers. The results from experts’ agreement information system model for educational management in supply chain for Thai higher education institutions was a high level. It showed that information system model for educational management in supply chain for Thai higher education institutions could be used to develop information system.
Research Paper
Game theory
Javid Ghahremani Nahr; Mirreza Zahedi
Abstract
The design of a repurchase agreement related to the amount of goods remaining in the two-echelon supply chain between the retailer and the manufacturer is examined. Two scenarios are considered quite separately; In the first scenario (decentralized) in which the retailer determines the price of the product ...
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The design of a repurchase agreement related to the amount of goods remaining in the two-echelon supply chain between the retailer and the manufacturer is examined. Two scenarios are considered quite separately; In the first scenario (decentralized) in which the retailer determines the price of the product and the optimal amount of the economic order and the producer is persuaded to follow this method. In the second (centralized) scenario, the goal is to maximize the profit of the whole chain, in which case the price of the product and the amount of the economic order are determined based on the profit of the whole chain. Then, a model of repurchase agreement related to the remaining goods was considered based on cooperative play and contract between two members of the supply chain, in which the goal is to maximize the profit of chain members. Due to the uncertainty of the competitive environment, the demand is considering under uncertain in modeling to determine the optimal level of cooperation in a competitive and cooperative market. The results of the implementation of this contract in a numerical example showed that the profit of the whole chain and the amount of economically optimal order in the centralized state increased compared to the decentralized state and the optimal price of the product decreased. Due to the fact that in the decentralized state the retailer determines the values of the optimal variables, the profit of this member decreases in the centralized state and the producer's profit increases.
Research Paper
Human factors, ergonomics, and safety
Mobasshira Zaman
Abstract
Optimization and selecting effective design parameters are a big issue in the field of product design and development. The optimal value determination for design parameters is a challenge for the furniture industry. Therefore, an appropriate statistical approach is required. In this research the full ...
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Optimization and selecting effective design parameters are a big issue in the field of product design and development. The optimal value determination for design parameters is a challenge for the furniture industry. Therefore, an appropriate statistical approach is required. In this research the full factorial two-level four-factor design of experiment method was used to determine the optimal values for a shape changeable furniture. For the m-chair’s- which can be used as a chair, floor bed, and table, four design parameters- bending axis material surface roughness, density of body material, width of the surface plane, and the number of bending axis were evaluated on basis of the performance time of shape changing where the optimal value of influential parameters were determined for a minimum reshaping time using Minitab. This method can be implemented for unique product design. But for further study, different form changing times should be considered individually.
Research Paper
Data Envelopment Analysis, DEA
Abbasali Monzeli; Behrouz Daneshian; Gasem Tohidi; Shabnam Razavian; Masud Sanei
Abstract
We extend the concept of returns to scale in Data Envelopment Analysis (DEA) to the weight restriction environments. By adding weight restrictions, the status of returns to scale, i.e. increasing, constant, and decreasing, may need a change. We first define "returns to scale" underweight restrictions ...
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We extend the concept of returns to scale in Data Envelopment Analysis (DEA) to the weight restriction environments. By adding weight restrictions, the status of returns to scale, i.e. increasing, constant, and decreasing, may need a change. We first define "returns to scale" underweight restrictions and propose a method for identifying the status of returns to scale. Then, we demonstrated that this addition would usually narrow the region of the most productive scale size (MPSS). Finally, for an inefficient decision-making unit (DMU), we will present a simple rule for determining the status of returns to the scale of its projected DMU. Here, we carry out an empirical study to compare the proposed method's results with the BCC model. In addition, we demonstrate the change in the MPSS for both models. We have presented different models of DEA to determine returns to scale. Here, we suggested a model that determines the whole status to scale in decision-making units.Different models of DEA to determine returns to scale are presented. Here, we suggested a model that determines the whole status to scale in decision-making units.
Research Paper
Decision analysis and methods
Ali Dehghani Filabadi; Gholamreza Hesamian
Abstract
Recently, fuzzy linguistic variables have gained a great deal of attention from researchers in many decision-making problems. In this problems, type-2 fuzzy sets have been used to better cover linguistic data uncertainty. However, many of research works in this regard have been performed in type-2 fuzzy ...
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Recently, fuzzy linguistic variables have gained a great deal of attention from researchers in many decision-making problems. In this problems, type-2 fuzzy sets have been used to better cover linguistic data uncertainty. However, many of research works in this regard have been performed in type-2 fuzzy domain and in static mode. Since the decision-making problems in the real world usually fluctuate over time, so it need to use decision-making models in multi-period of time. In the present research, a Multi-Period (Dynamic) Multi-Attribute Group Decision-Making (MPMADM) method is presented based on type-2 fuzzy sets where decision-making attributes are first expressed in linguistic terms and then incorporated, as interval type-2 fuzzy numbers, into problem-solving where a new integrating operator called Multi-Period Trapezoidal Interval Type-2 Fuzzy Number Weighted Arithmetic averaging (MPTIT2FNWA) is defined on type-2 interval fuzzy numbers to integrate decision-making information in multiple periods of time. Once finished with explaining the proposed method, a numerical example is given to evaluate the proposed method in terms of effectiveness and applicability, with the results compared to those of other methods.
Research Paper
Decision analysis and methods
Abdella Yimam Ali
Abstract
This paper presented greedy algorithm for solving student allocation problem that has arisen in internship program. In internship program, engineering students stay one semester in industries which are located across the country and teachers visit students once/twice for supervision during the program. ...
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This paper presented greedy algorithm for solving student allocation problem that has arisen in internship program. In internship program, engineering students stay one semester in industries which are located across the country and teachers visit students once/twice for supervision during the program. As the industries scatter across the country, teachers spend long time on travel. And this results in wastage of teachers working time and money spent for transport. Therefore, allocating students to universities near the internship location extensively reduces the transport time and money spent for transport. For the current study, we consider 4th mechanical engineering students who are currently working in the industry. The proposed approach extensively decrease the distance traveled from 23,210 km to 2,488.8 km and the time spent on the road from 397 hrs. 40 min to 51 hrs. 30 min. and finally, the results obtained from the greedy algorithm is compared with other heuristics (i.e., Genetic algorithm and Particle swarm optimization) and the greedy algorithm outperforms the other methods.
Research Paper
Facility location, layout, design, and materials handling
Hossein Jafari; Abbas Sheykhan
Abstract
Layout design problem is one of the useful field of study used to increase the efficiency of sources in organizations. In order to achieve an appropriate layout design, it is necessary to define and solve the related nonlinear programming problems. Therefore, using computer in solving the related problems ...
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Layout design problem is one of the useful field of study used to increase the efficiency of sources in organizations. In order to achieve an appropriate layout design, it is necessary to define and solve the related nonlinear programming problems. Therefore, using computer in solving the related problems is important in the view of the researchers of this area of study. However, the designs produced by a computer to solve big problems require more time, so, this paper suggests an algorithm that can be useful in better performance of the known algorithms such as Branch and Bound. The proposed study aims to improve the performance of the branch and bound (BB) algorithm in solving QAP problems. The findings show that the proposed method enables the BB algorithm to produce an optimal solution in the minimum amount of time.
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