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We address the parallel machines scheduling problems when selling to a selfish customer population with heterogeneous time utility functions. The manufacturer, owning parallel machines resource, has some independent objective. Because of customers' selfishness, anarchistic competition would worsen the manufacturer's performance, and then, cause “Price of Anarchy”. On the other hand, the optimization...
The Multi-objective Vehicle Routing Problem (MoVRP) is an important problem in the logistics distribution management, whose two objective functions are to minimize the global transportation cost and to maximize the average customer satisfaction. The mixed integer programming model of MoVRP is proposed in this paper. And a Hybrid Genetic Algorithm based on Human-Computer Interaction (HGAHCI) is presented...
In this paper, the dynamic Pickup and Delivery Problem with Time Windows (PDPTW) is studied, in which requests from customers arrive continuously, vehicles may breakdown, and time windows of customers may change. It is an NP-hard problem and impossible to find the optimal solution in a reasonable short time. Therefore, the exact methods are too limited to tackle this dynamic problem and the heuristic...
The paper investigates the effects of learning on integration capability and firm performance. From the knowledge-based view of the firm, a conceptual model is developed and three research hypotheses are empirically examined by using structural equation modeling. The data are collected via a survey of 113 senior or middle managers of manufacturers. Our results provide empirical evidence supporting...
The real-time pickup and delivery problem with time windows (RTPDPTW), typically found in logistic company, is a problem of finding a set of optimal routes for a fleet of vehicles with fixed capacity in order to serve all the static and dynamic customers. Each customer is defined by a pickup point and a delivery point and a load. In this paper, the dynamic model of RTPDPTW is given firstly, and then...
The mathematic model of multi-objective vehicle scheduling problem based on customer satisfaction is proposed firstly, whose two trade-off objective functions are maximizing the customer satisfaction degree and minimizing the transportation cost. Then the hybrid genetic algorithm is proposed and the test result indicates that our algorithm is effective to solve such multi-objective vehicle scheduling...
Consider a special group of job shop scheduling problems, where both customers and manufacturer have independent and different objectives. It is specified as a two-layer optimization model based on noncooperative game. Nash equilibrium (NE) schedule for heterogeneous customers is defined. A parallel genetic algorithm (PGA) based solving method is designed. Each customer is assigned a subpopulation...
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