A systematic decision-making approach for the optimal product-service system planning
A systematic decision-making approach for the optimal product-service system planning
复制标题
最优产品服务系统规划的系统决策方法
DOI：
10.1016/j.eswa.2011.03.075
复制
发表时间：
2011-09-01
影响因子：
8.5
通讯作者：
Zhang, Zaifang
中科院分区：
文献类型：
--
作者：
Geng, Xiuli;Chu, Xuening;Zhang, Zaifang
产品服务系统（PSS）规划已引起全球制造商的关注，从只提供产品向提供产品和服务为一体转变。 PSS规划方法可以在整个产品生命周期中为客户维护产品的功能。在早期设计阶段确定产品和服务参数在 PSS 开发中起着至关重要的作用。 PSS规划通常从客户领域的客户需求（CR）到功能领域的工程特性（EC）的映射开始，包括产品相关的EC（P-EC）和服务相关的EC（S-EC）。本文开发了一种 PSS 规划的系统决策方法，以确定 EC 的最佳履行水平，同时考虑客户和制造商的要求。 PSS规划分四个阶段进行。首先，基于模糊两两比较，得到考虑客户需求的EC的初始权重。第二。考虑客户要求以及制造商的其他要求，采用数据包络分析（DEA）方法来获得EC的最终重量。第三，使用模糊卡诺问卷（FKQ）和模糊卡诺模式（FKM）将EC分为不同的卡诺属性类别，以评估PSS。在最后阶段，进行非线性规划以最大化 EC 的履行水平。通过案例研究来证明所开发的最优 PSS 规划方法的有效性。 (C) 2011 Elsevier Ltd. 保留所有权利。
Product service system (PSS) planning has been attracting attentions of global manufacturers to change from providing only products to offering both products and their services as a whole. The PSS planning approach can maintain the functionality of products for customers throughout the whole product life-cycle. Identification of the product and service parameters in early design stages plays a critical role in PSS development. The PSS planning is usually started by the mapping from customer requirements (CRs) in the customer domain to engineering characteristics (ECs), including product-related ECs (P-ECs) and service-related ECs (S-ECs), in the functional domain. In this paper, a systematic decision-making approach for PSS planning is developed to determine the optimal fulfillment levels of ECs considering requirements of customers and manufacturers. The PSS planning is conducted through four phases. First, the initial weights of ECs considering customer needs are achieved based on fuzzy pairwise comparison. Second. the data envelopment analysis (DEA) approach is applied to obtain the final weights of ECs considering customer requirements as well as other requirements of the manufacturers. Third, the ECs are categorized into different Kano attribute classes using fuzzy Kano's questionnaire (FKQ) and fuzzy Kano's mode (FKM) for evaluation of the PSS. In the last phase, non-linear programming is carried out to maximize the fulfillment levels of ECs. A case study is carried out to demonstrate the effectiveness of the developed optimal PSS planning approach. (C) 2011 Elsevier Ltd. All rights reserved.