| Summary: | 碩士 === 國立屏東科技大學 === 資訊管理系所 === 101 === Differential service plays an important role in enterprise event marketing. It satisfies different types of customers and meets their needs. This thesis takes the industry of handmade wood products for example, and discusses the differential service on pricing and due-date setting. This industry frequently bears additional costs because it faces the challenges of various productions scheduling due to the uncertain environment. Therefore, having a rule which the enterprise can refer to will provide direction, stability, and will also enhance the self-competitiveness.
This study proposes a model of changing pricing and due-date, supported by multi-objective particle swarm optimization (MOPSO) which includes the average daily profit and acceptance rate of product order. In order to prevent particles from premature convergence and trap into local optimal solution, using the large neighborhood search (LNS) for particles beyond the optimal solution of the restricted region and speedy to obtain the most similar best set. 15 sets of two-dimensional arrays and a multi-objective task application are adopted to verify the proposed method, and simulate a variety of the company's portfolio of differential service. According to the results, the MOPSOLNS method is better than the traditional PSO method in solving the case of multi-objective problems. Furthermore, this thesis also further explores 7 sets of location shift strategies which have better profit and acceptance rate of product order. In the trend of micro profit, enterprise can enhance customer’s satisfaction without reducing profit.
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