Asian Journal of Management Science and Applications
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Asian J. of Management Science and Applications (7 papers in press)
Dynamic Incentive Remuneration Design for Functional Recovery Care by Hua Xu Abstract: This paper considers the dynamic incentive remuneration design for functional recovery care by applying dynamic principal-agent model, where the long-term care provider is formulated as the agent and the long-term care insurer as the principal. The insurer designs a dynamic incentive remuneration strategy to encourage the provider to provide functional recovery care. In particular, the insurer pays the remuneration to the provider based on the health improvement of the insured person at the end of a contract period. In addition, since it is possible that the cost incurred by the provider is not recoverable if less or excessive functional recovery care effort is made, an optimal functional recovery care effort level will be recommended to the provider. Keywords: Functional recovery care; Dynamic principal-agent problem; Incentive remuneration design; Health insurance system.
A Study of Search engines and its influence on youth information skimming behaviors by Ravneet Bhandari, Himani Sharma Abstract: The individuals today are highly dependent on internet which is built on data and access to relevant data perhaps lead to various financial as well as non financial advantages. The human hunger for information has prompted the development of online Search engines over recent couple of years and are most broadly utilized instruments in the contemporary world. This research paper focuses on the various elements of search engines on information skimming behaviour of young users and tried to explore the impact of search engines on information skimming behavior of young users. Structured questionnaire was used to gather data. The results obtained indicated that elements associated to search engines i.e. relevant results obtained on the result page, comprehensive structure of the search engines, free access to search engines and latest updates available on search engines in terms of data positively affects the information skimming behavior of users. To scrutinize the findings based on identified variables by literature review. The information was accumulated through structured questionnaire from 313 respondents which were chosen by straightforward random sampling technique for the most part from the National Capital Region (NCR) of Delhi in India. The information gathered from the respondents was loaded on SAS university edition for exploratory factor examination and T test analysis. Keywords: Search engines; Information skimming behaviour; Information needs; Informativernattitudern.
Consideration of Skills in Assembly Lines and Seru Production Systems by Md Abdullah, Gursel A. Suer Abstract: Seru production system is the modern version of manufacturing strategy evolved from Toyota Production System (TPS), Just-in-Time (JIT) and Lean. It has been found in recent research works that for a product that has high skill variation and short life cycle, it is useful to use seru manufacturing system. Since this approach is relatively new, there are fewer guidelines regarding when to use seru in contrast with classical assembly line. In this study, worker skill levels have been considered to gain insight about selection of manufacturing strategy between classical assembly line and seru. In this study, 7 skill levels from 1 to 7 for workers have been considered and it is assumed that the skill levels are normally distributed. Based on the output, and high standard deviation value for skill levels it is found that when the standard deviation of worker skills are high then it is better to use classical assembly line. On the other hand, if workers are highly skilled at all tasks it is better to use seru. Keywords: Seru cell; Assembly Line; worker skill level; mathematical modeling.
Special Issue on: Smart Society
Long-distance delivery route planning using a commercial electric vehicle including the arrangement of charging stations by Masato Takanokura, Daisuke Kitayama, Ryo Tamura, Mitsuharu Ogiya Abstract: The electric vehicle (EV) is a key factor in achieving building smart cities. The EV is driven by an electric powered motor with a storage battery; therefore, it does not exhaust gases harmful to the environment. In this study, long-distance delivery route planning is performed with a commercial EV including the arrangement of charging stations. The delivery area is set based on the Kanto and Chubu areas of the Japanese archipelago. The EV delivers some goods through the motorway for distance of approximately 500-700 km. The maximum travel distance of the EV is assumed to be 150 km. The EV is recharged to a stored battery at a service or parking area on the motorway by a recharging station if it cannot travel to the next one. Two delivery patterns are considered so that the EV is required to loading and unloading activities at a distribution point. The shortest path is calculated using the Dijkstra method, and three performance indexes are considered for long-distance delivery: carbon dioxide emissions, delivery activity costs, and delivery time. The analytical result shows that the EV should recharge four or five times during its delivery activity, leading to a longer delivery time. However, carbon dioxide emissions and delivery activity costs are lower than gasoline vehicles. This result indicates that the EV is a powerful tool to achieve smart cities for long-distance delivery for smart society. Keywords: motorway logistics; carbon dioxide emissions; delivery activity costs; delivery time; case study.
Regression model for estimating thermal resource usage in air conditioning systems: daily demand forecast by potential integral method, considering thermal inertia of room and weather conditions by Sho Ikawa, Kaoru Kuramoto, Satoshi Kumagai, Shuuzo Kishima Abstract: Air conditioning systems are required to achieve both the maintenance of energy conservation and proper control of room environment. Nonetheless, both the building manager and the user (i.e., room resident) are typically ignorant about the amount of air conditioning thermal resources being used by a particular room. Herein, we propose a method to predict the daily demand of thermal resources for individual rooms, considering their thermal characteristics. The amount of thermal resource consumption of individual rooms was predicted. A prediction model of the next-day consumption was also developed. The obtained results indicated that the influence of enthalpy at the end of the previous day was strong, and that the influence of the average temperature of the external factors was small. Keywords: air conditioning system; prediction model; thermal resource.
Green Fuzzy Parallel Machine Scheduling with Sequence-Dependent Setup in the Plastic Molding Industry by Khodakaram Salimifard, Davood Mohammadi, Reza Moghdani, Abbas Abbasizad Abstract: Job scheduling has always been a challenging task for production managers. It is of special importance if it involves multi-objectives and parallel machines. In this research, our direction is largely motivated by the uncertainty emerged in production systems, where processing times of jobs and setup times of machines are not fixed and they are subject to some uncertainties. Our paper presents a mixed-integer goal programming model considering fuzzy approach for parallel machines environments with separable jobs, sequence-dependent setup times and hazardous waste. Two fuzzy objectives are considered in the model to minimize the total tardiness and the total hazardous waste. Since the model is too complex to be solved using exact methods, we proposed a solution method based on genetic algorithm. To set the input parameters of the solution algorithm, Taguchi method is used. The results of the computational experiments indicate that the proposed algorithm is a proficient method and has efficiently found the optimal solutions for both objective functions. Keywords: Parallel machines; Hazardous waste; Genetic algorithms; Fuzzy Methods; Meta-heuristics; Scheduling.
On a Stochastic Degradation Model based on the Generalized Inverse Gaussian distribution by Leona Tamaru, Hideki Nagatsuka Abstract: A stochastic degradation model based on the generalized inverse Gaussian (GIG) distribution is provided. The proposed model can be seen a generalization of the prominent existing degradation models in a sense, under the mild conditions, and it might be more flexible than the existing ones. The maximum likelihood estimation of the proposed model is also developed.
Two case applications are performed to demonstrate the advantages of the proposed model, based on the well-known real degradation data sets of the GaAs laser devices and crack sizes of specimens. Keywords: Degradation model; Generalized inverse Gaussian distribution; Inverse Gaussian distribution; Gamma distribution; Maximum likelihood estimation; Akaike Information Criterion; Kolmogorov-Smirnov statistics.