Showing papers in "International journal of information and management sciences in 2012"
TL;DR: In this paper, a mathematical model has been developed for obtaining the economic order quantity (EOQ) in which the interaction of EOQ with marketing parameters such as external and internal influences under the condition of permissible delay in payments have been considered.
Abstract: In this paper a mathematical model has been developed for obtaining the Economic Order Quantity (EOQ) in which the interaction of EOQ with marketing parameters such as external and internal influences under the condition of permissible delay in payments have been considered. The model assumes that the demand is a function of time follows from the adoption behaviour of Bass's diffusion model [5]. The two different cases of permissible delay in payments have been discussed to know the condition of economic ordering policies in a different situation of credit period offered. The integrated effect of both the factors that is permissible delay in payments as well as the marketing parameters on the economic ordering policies of the products has been considered. A solution procedure is developed to find the optimal order quantity and replenishment time, which minimizes the total cost of an inventory system. A numerical example followed by sensitivity analysis of the optimal solution with respect to different parameters of the system has been performed to illustrate the effectiveness of the model.
6 citations
TL;DR: A batch arrival queueing system with two phases of service, balking, feedback, and K optional vacations under a classical retrial policy is discussed in the paper.
Abstract: A batch arrival queueing system with two phases of service, balking, feedback, and K optional vacations under a classical retrial policy is discussed in the paper. At the arrival epoch, if the server is busy, the whole batch joins the orbit or balks the system. Whereas, if the server is free, then one of the arriving jobs starts its service immediately and the rest join the retrial group or balk the system. For each job, the server provides two phases of service. After the completion of the two phases of service, the job may rejoin the orbit as feedback for another regular service or leave the system forever. If the system is empty, then the server becomes inactive and begins its first vacation. After completion of the first essential vacation, the server may either wait for a job or may take one of `K' additional vacations.
5 citations
TL;DR: Considering the notion of intuitionistic fuzzy set (IFS), a new similarity measure and a weighted similarity measure between IFSs are proposed andumerical results show that the method is much simpler and more efficient than the existing methods.
Abstract: In this paper, considering the notion of intuitionistic fuzzy set (IFS), a new similarity measure and a weighted similarity measure between IFSs are proposed. Then, we prove some properties of the proposed method, we also use several examples to compare the new similarity measure with the existing similarity measures. Numerical results show that our method is much simpler and more efficient than the existing methods. Finally, the new similarity measure is applied to multi-attribute decision-making and pattern recognition.
4 citations
TL;DR: In this paper, a single server queue with compulsory vacation has been considered, where admission to queue is based on a Bernoulli process and the server gives two types of services, and the probability generating functions of number of customers in the queue for different server states are obtained using supplementary variable technique.
Abstract: A single server queue with compulsory vacation has been considered. In addition admission to queue is based on a Bernoulli process and the server gives two types of services. For this model the probability generating functions of number of customers in the queue for different server states are obtained using supplementary variable technique. Some performance measures are calculated. Particular cases are deduced and some numerical examples are presented.
3 citations
TL;DR: In this paper, a fluid queue driven by an M/M/1 queue with catastrophe is discussed and the transient solution is expressed through continued fraction and deduced the steady state solution of the fluid queue.
Abstract: In this paper, a fluid queue driven by an M/M/1 queue with catastrophe is discussed. The transient solution is expressed through continued fraction and deduced the steady state solution of our fluid queue. Further we deduce the results of the Fluid model driven by an M/M/1 queue without catastrophe.
2 citations
TL;DR: This paper investigates single machine due dates assignment scheduling problems with deterioration effects and deteriorating maintenance simultaneously, and shows that all the problems studied can be optimally solved in polynomial time algorithms.
Abstract: The due date assignment has been popular issues related to the interaction between various participants of the supply chain. In this paper, we investigate single machine due dates assignment scheduling problems with deterioration effects and deteriorating maintenance simultaneously. In the proposed model, the actual processing time of a job is not only dependent on the job's scheduled position, it also depends on the time expended by the jobs already processed. To counteract the deterioration effects of the machine, we assume that at most one maintenance is allowed throughout the scheduling horizon. The common due date assignment model and the slack due date assignment model are examined, respectively. The goal is to determine jointly the optimal due dates, the optimal maintenance position, and the optimal schedule to minimize the total penalty function based on earliness, tardiness and due dates. We show that all the problems studied can be optimally solved in polynomial time algorithms.
2 citations
TL;DR: In this paper, distributional properties of two non-adjacent dual generalized order statistics have been used to characterize distributions, and one-sided random contraction and dilation for the dual GOM statistics are discussed.
Abstract: Distributional properties of two non-adjacent dual generalized order statistics have been used to characterize distributions. Further, one sided random contraction and dilation for the dual generalized order statistics are discussed and then the results are deduced for generalized order statistics, order statistics and adjacent dual generalized order statistics.
2 citations
TL;DR: A batch arrival retrial queueing system with Bernoulli feedback and balking under modified vacation policy is considered wherein the server provides two phases of essential service to all arriving customers.
Abstract: In this paper, a batch arrival retrial queueing system with Bernoulli feedback and balking under modified vacation policy is considered wherein the server provides two phases of essential service to all arriving customers. In addition, the server may breakdown during the busy state at any time. After the completion of two phases of heterogeneous service, the server may go for 'j^th' (1 ≤ j ≤ J) vacation on finding the orbit empty until at least one customer is accumulated in the system. The inter-retrial times, service times, repair times and vacation times are assumed to be governed by the general distribution. By introducing the supplementary variables and using generating function, the expressions for the expected number of the customers in the orbit as well as in the system are derived. Finally, the numerical results are provided.
2 citations
TL;DR: In this paper, the optimal order quantity model for retailers of such a single-period perishable commodity in situations involving volatile market demand was developed to maximize the expected profit during the upcoming selling season.
Abstract: A return policy is commonly recognized as an effective device for achieving channel coordination. Suppliers for perishable commodities especially tend to use return policies as incentive to encourage retailers to purchase larger quantities. Accordingly, this study focuses on developing the optimal order quantity model for retailers of such a single-period perishable commodity in situations involving volatile market demand to maximize the expected profit during the upcoming selling season. Dissimilar from previous researches, this study conceives of an effective and practical returns policy that allowances are based on a multi-tier decreasing return rebate policy, each of which is applied to one of arranged return quantity intervals to induce retailers to sell items more aggressively. Finally, a numerical example and sensitivity analysis is illustrated to verify the practicability and validity for the optimal order quantity model presented here and realize the effects of changes in the value of primary model parameters.
2 citations
TL;DR: Two essential models for service facility with cross trained servers who can perform operations in both front room and back room depending on the length of the queue are discussed.
Abstract: We consider a retail service facility with cross trained servers who can perform operations in both front room and back room depending on the length of the queue. Two essential models for service facility are discussed in this paper. The models are represented as a Markovian decision problem and solved using mixed integer programming techniques. Exact solution procedures are developed to solve the models and numerical study is conducted to see the impact of various parameters on performance.
1 citations
TL;DR: In this article, a closed-form expression for the optimal integer number of shipments and the minimum total cost of an extended EPQ model with quality assurance is derived for a model in which the objective function is expressed in terms of lot size and number of shipped goods.
Abstract: This paper analyzes several studies that address the replenishment lot size and multidelivery policy in an extended EPQ model with quality assurance. For a model in which the objective function is expressed in terms of lot size and number of shipments, previous studies have derived closed-form expressions for determining the optimal continuous values for both decision variables, using the classical optimization technique or algebraic method. In this paper, our aim is to show how to apply other optimization methods to derive explicit closed-form expressions, not only for the optimal lot size, but also for the optimal integer number of shipments and the minimum total cost of the model. Furthermore, we provide a helpful supplement to those related studies, specifically, a threshold for implementing multi-delivery policy and the effects of problem parameters on the lot size decision and shipment policy.
TL;DR: This paper shows how reverse logistics problems can be addressed using a hybrid approach that combines simulation-based metamodels and optimization approaches, and integrates computer simulation and optimization.
Abstract: This paper shows how reverse logistics problems can be addressed using a hybrid approach that combines simulation-based metamodels and optimization approaches. Our proposed framework (1) identifies the critical reverse logistics input and output variables, (2) proceduralizes joint qualitative and quantitative analyses into a coherent model, and (3) integrates computer simulation and optimization. This integration enables academics and practicing managers to explore the problem context and enhance the effectiveness of decision making. This approach is illustrated on a reverse logistics system where regression metamodels from simulation are used in a goal programming model to minimize operational cost and waste while meeting throughput requirements.
TL;DR: In this article, the authors examined how intellectual capital can contribute to the corporate value of high-tech companies in Taiwan and found a direct and positive relationship between intellectual capital and corporate value.
Abstract: Intellectual capital has been widely recognized as a critical resource that can help firms achieve competitive advantages. However, little research has been carried out regarding the key elements firms should develop and value to build their intellectual capital. The purpose of this study was to examine how intellectual capital can contribute to the corporate value of high-tech companies in Taiwan. With the historical financial data of 285 high-tech companies listed on the Taiwan Stock Exchange (TWSE) from 2009 to 2010, this study measured company performance based on the market-to-book ratio, and examined its relationship with intellectual capital. The results show a direct and positive relationship between intellectual capital and corporate value. Therefore, a greater understanding of the importance of intellectual capital will contribute to corporate value, help optimize the use of resources, and work to build and maintain competitive advantages in a rapidly changing business environment.
TL;DR: An approach for fuzzy aggregation evaluation (FAE) which integrates corresponding triangular fuzzy numbers and statistical 100% confidence interval is proposed and it is found that the criterion of irritation is the most important value.
Abstract: This paper combines statistical and fuzzy concepts to propose an approach for fuzzy aggregation evaluation (FAE) which integrates corresponding triangular fuzzy numbers and statistical (1-α) 100% confidence interval in statistical point of view. We apply the data set of customer attitude measurement of short message service (SMS) advertising and finally find that the criterion of irritation is the most important value. This method can provide a more complete view for manager decision making and also can be used in assessing the analogue of managerial problems.
TL;DR: It is illustrated how generating function technique can be used to obtain the transient solution of a nonempty M/M/1 queueing system subject to catastrophes, server failures and repairs.
Abstract: In this paper, we illustrate how generating function technique can be used to obtain the transient solution of a nonempty M/M/1 queueing system subject to catastrophes, server failures and repairs. The steady state probabilities of the system size and certain performance measures are deduced. Busy period analysis has been carried out using continued fraction methodology. We also present reliability and availability analysis of the model. Numerical illustrations are provided to see the effect of parameters on system performance measures.