This paper focuses on the planar storage location assignment problem (PSLAP) that needs to be clearly defined and newly formulated. In addition, the solving procedure should be developed. The PSLAP can be defined as t...
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This paper focuses on the planar storage location assignment problem (PSLAP) that needs to be clearly defined and newly formulated. In addition, the solving procedure should be developed. The PSLAP can be defined as the assignment of the inbound and outbound objects to the storage yard with aim of minimizing the number of obstructive object moves. The storage yard allows only planar moves of objects. The PSLAP usually occurs in the assembly block stockyard operations at a shipyard. This paper formulates the PSLAP using a mathematical programming model, but which belongs to the NP-hard problems category. Thus this paper utilizes an efficient genetic algorithm (GA) to solve the PSLAP for real-sized instances. The performance of the proposed mathematical programming model and developed GA is verified by a number of numerical experiments. (C) 2009 Elsevier Ltd. All rights reserved.
Conventionally, job processing times are assumed to be constant from the first job to be processed until the last job to be completed. However, recent empirical studies in several industries have verified that unit co...
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Conventionally, job processing times are assumed to be constant from the first job to be processed until the last job to be completed. However, recent empirical studies in several industries have verified that unit costs decline as firms produce more of a product and gain knowledge or experience. This phenomenon is known as the "learning effect". In this paper a m-identical parallel machine scheduling problem with a learning effect is considered. The objective function of the problem is to find a sequence that minimizes maximum lateness. A mathematical programming model is developed for the problem which belongs to NP-hard classes. Also the model is tested on an example. Results of computational tests show that the proposed model is effective in solving problems with 18 jobs and four machines. We also proposed heuristic approach for solving large jobs problems. (C) 2008 Elsevier Inc. All rights reserved.
Conventionally, job processing times are assumed to be constant from the first job to be processed until the last job to be completed. However, recent empirical studies in several industries have verified that unit co...
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Conventionally, job processing times are assumed to be constant from the first job to be processed until the last job to be completed. However, recent empirical studies in several industries have verified that unit costs decline as firms produce more of a product and gain knowledge or experience. This phenomenon is known as the "learning effect." In this paper a bicriteria m-identical parallel machine scheduling problem with a learning effect is considered. The objective function of the problem is to find a sequence that minimizes a weighted sum of total completion time and total tardiness. Total completion time and total tardiness are widely used performance measures in scheduling literature. To solve this scheduling problem, a mathematical programming model is formulated.
A strong link exists between agricultural production and landscape. Globalisation (more open agricultural markets) will change agricultural production and thus landscape will change as well. In this paper, we address ...
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A strong link exists between agricultural production and landscape. Globalisation (more open agricultural markets) will change agricultural production and thus landscape will change as well. In this paper, we address the following questions: (a) what economic effects can be expected with respect to agricultural production structures in a high cost production region much as the Swiss lowlands given a substantial development in the WTO: and (b) how does this structural change influence land-use patterns? We discuss the expected economic effects from a theoretical point of view and implement these findings in a spatially explicit normative programmingmodel for a case study region in the Swiss lowlands. The results show a wide range of possible economically efficient outcomes depending on production costs and farmers' preferences. Our results imply that, if production costs were to sink sufficiently, income maximizing farmers would focus on grassland based milk production. This would only lead to a modest change in the existing land-use patterns since our case study region is currently dominated by dairy farms. If production costs remain high, agricultural production would shift to more extensive production activities in order to maximize the sectoral income. In this case, the local landscape would change noticeably.
In this paper, we tackle the design problem of reliable internet protocol (IP) networks with a three-level (access/edge/core) hierarchical structure. This problem consists in selecting the number of routers of each ty...
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In this paper, we tackle the design problem of reliable internet protocol (IP) networks with a three-level (access/edge/core) hierarchical structure. This problem consists in selecting the number of routers of each type to install at each level, locating each router, selecting the port types to install in each router, finding the access, edge and core networks, selecting the link types and finally, routing the traffic within the network. The routes are computed using the shortest paths using link metrics as the lengths of the links such as for the open shortest path first (OSPF) routing protocol;the most widely deployed intra domain routing protocol in IP networks. Moreover, a minimum information rate traffic parameter is guaranteed between each pair of access devices (routers and switches) for the normal state of the network (no failure) and for all single core router failure scenarios. A mathematical programming model is proposed for this problem and a tabu-based metaheuristic algorithm is proposed to find solutions within a reasonable amount of computational time. Finally, numerical results are presented and analyzed. The results show that for the test problems generated, the proposed approach found solutions, on average, 3,17% from a lower bound.
This study discusses weapon production using a single production stage with limited capability for production scheduling, and a parallel machine and a machine group dynamically flexible change strategy. An optimal sch...
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This study discusses weapon production using a single production stage with limited capability for production scheduling, and a parallel machine and a machine group dynamically flexible change strategy. An optimal schedule was created by integrating the schedule operation model into one-stage scheduling and combining it with a mathematical programming model. This study utilized Lindo 6.0 professional software. For verification and evaluation of computational results, the software program implemented a mathematical programming model, concluding with a comparison of the first-come-first-served (FCFS) technique. The proposed model yielded a favorable outcome and benefits, clearly assigning schedules for labor and production, thus obtaining the total least performance indicator for tardiness cost, earliness cost, and machine group changeover cost.
In this paper, we propose to tackle the global problem of designing an access network in order to have enough bandwidth to offer high definition television (HDTV) over the Internet protocol (IPTV). Two important acces...
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ISBN:
(纸本)9781424417841
In this paper, we propose to tackle the global problem of designing an access network in order to have enough bandwidth to offer high definition television (HDTV) over the Internet protocol (IPTV). Two important access network architectures are considered: the fiber-to-the-node (FTTN) and the fiber-to-the-premises (FTTP) architectures. An integer mathematical programming model is proposed for this network planning problem. Next, a heuristic algorithm based on the tabu search principle is proposed to find "good" feasible solutions within a reasonable amount of computational time. Finally, numerical results are presented and analyzed.
In designing any water network,a typical issue that must be addressed is concerned with the uncertain *** feasibility test and flexibility index models proposed by Grossmann and Floudas(1987)have been adopted and cust...
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In designing any water network,a typical issue that must be addressed is concerned with the uncertain *** feasibility test and flexibility index models proposed by Grossmann and Floudas(1987)have been adopted and customized for the present *** uncertain dis-
Dynamic connection admission control (CAC) is an important mechanism to guarantee end-to-end quality of service (QoS) for specific Internet protocol (IP) traffic flows in multiprotocol label switching (MPLS) networks....
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ISBN:
(纸本)9781424410200
Dynamic connection admission control (CAC) is an important mechanism to guarantee end-to-end quality of service (QoS) for specific Internet protocol (IP) traffic flows in multiprotocol label switching (MPLS) networks. Most of the solutions proposed in the literature target to satisfy the QoS constraints for the new request without considering them for the already admitted flows in the network. In this paper, we propose a joint routing and admission control mechanism for the IP traffic flows in MPLS networks. The solutions are obtained by solving exactly a mathematical programming model including end-to-end packet loss constraints for all traffic flows. Numerical results show that the model can be solved rapidly even for real-size instances of the problem.
In this paper, we first propose a global approach for planning universal mobile telecommunications system (UMTS) networks in the uplink direction. Instead of partitioning the planning problem into several subproblems ...
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In this paper, we first propose a global approach for planning universal mobile telecommunications system (UMTS) networks in the uplink direction. Instead of partitioning the planning problem into several subproblems and solving them successively (sequential approach), we propose a mathematical programming model that addresses it as a whole. This global approach has the advantage of providing better results since, in general, optimal solutions to all subproblems do not provide an optimal solution to the global problem. In order to prove our point, we present a detailed example that compares the global and the sequential approaches. Next, we propose a local search heuristic to find "good" feasible solutions of the global model within a reasonable amount of time. Finally, numerical results for a set of randomly generated problems are presented. The results show that the heuristic produces solutions that are, on average, at 6.53% of the optimal solution, and in the worst case at 31.31% of the optimal solution. (c) 2005 Elsevier B.V. All rights reserved.
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