Prioritizing Engineering Characteristics of Product-Service System Using Analytic Network Process and Data Envelopment Analysis

2010 ◽  
Author(s):  
Xiuli Geng ◽  
Xuening Chu ◽  
Deyi Xue ◽  
Zaifang Zhang
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Conceptual Design ◽  
Service System ◽  
Analytic Network Process ◽  
Data Envelopment ◽  
Product Service System ◽  
Engineering Characteristics ◽  
Product Service ◽  
Network Process

Product-service system (PSS) approach has emerged as a competitive strategy to impel manufacturers to offer a set of products and services as a whole. A new three-domain PSS conceptual design framework supporting engineering design methodology is proposed in this research. Identification of the critical parameters in these domains plays an important role. Engineering characteristics (ECs) in the functional domain, which include product-related ECs (P-ECs) and service-related ECs (S-ECs), are identified by translating customer requirements (CRs) in the customer domain. Quality function deployment (QFD) is used to implement this translation process. Prioritizing ECs is a crucial issue in achieving the optimal PSS planning. First, to consider complex dependency relationships between and within CRs, P-ECs and S-ECs, the analytic network process (ANP) approach is integrated in QFD to determine the initial importance weights of ECs. Second, the data envelopment analysis (DEA) approach is applied to adjust the initial weights of ECs considering requirements of the manufacturers. In order to deal with the vagueness, uncertainty and diversity in decision-making, the fuzzy set theory and group decision-making technique are used in the supermatrix approach of ANP in the first phase. A case study is carried out to demonstrate the effectiveness of the developed prioritizing approach for ECs in PSS conceptual design.

scholarly journals Circular Innovation Framework: Verifying Conceptual to Practical Decisions in Sustainability-Oriented Product-Service System Cases

2019 ◽  
Vol 11 (12) ◽  
pp. 3248 ◽  
Author(s):  
Daniel Guzzo ◽  
Adriana Hofmann Trevisan ◽  
Marcia Echeveste ◽  
Janaina Mascarenhas Hornos Costa
Keyword(s):  
Decision Making ◽  
Content Analysis ◽  
Service System ◽  
Service Systems ◽  
Research Approach ◽  
Coding System ◽  
Product Service System ◽  
Product Service ◽  
Tactical Decisions ◽  
Product Service Systems

Product–service systems (PSSs) have significant sustainability potential. However, limited knowledge is available on the choices to develop circular PSS solutions. The goal of this paper is to provide a circular innovation framework containing circular strategies to facilitate the decision-making in PSS circular innovation. A systematic literature review in combination with content analysis underpinned this research. The strategies were investigated in 45 PSS cases from the literature. A coding system was designed and employed to identify and organize the circular strategies and practices. The statistics techniques employed were frequency and co-occurrence analysis, which aimed to describe the synergies among strategies. The framework proposed contains twenty-one circular strategies. The practical perspective comprises the seventy-seven practices used for the operationalization of strategies. The framework can assist organizations in making strategic to tactical decisions when developing circular PSS solutions. The paper provides a panorama of the strategy applications among the PSS types. Finally, the research approach can be employed to continuously develop an understanding of the application of circular strategies in PSS and other fields.

scholarly journals Productivity Benchmarking Using Analytic Network Process (ANP) and Data Envelopment Analysis (DEA)

2018 ◽  
Vol 2 (3) ◽  
pp. 27 ◽  
Author(s):  
Shanta Mazumder ◽  
Golam Kabir ◽  
M. Hasin ◽  
Syed Ali
Keyword(s):  
Data Envelopment Analysis ◽  
Returns To Scale ◽  
Analytic Network Process ◽  
Data Envelopment ◽  
Contributing Factors ◽  
Productivity Measurement ◽  
Apparel Manufacturing ◽  
Network Process ◽  
Dea Approach ◽  
Constant Returns To Scale

Measuring productivity is the systematic process for both inter- and intra-organizational comparisons. The productivity measurement can be used to control and facilitate decision-making in manufacturing as well as service organizations. This study’s objective was to develop a decision support framework by integrating an analytic network process (ANP) and data envelopment analysis (DEA) approach to tackling productivity measurement and benchmarking problems in a manufacturing environment. The ANP was used to capture the interdependency between the criteria taking into consideration the ambiguity and vagueness. The nonparametric DEA approach was utilized to determine the input-oriented constant returns to scale (CRS) efficiency of different value-adding production units and to benchmark them. The proposed framework was implemented to benchmark the productivity of an apparel manufacturing company. By applying the model, industrial managers can gain benefits by identifying the possible contributing factors that play an important role in increasing the productivity of manufacturing organizations.

Selecting an Advertising Agency: A Multi-Criteria Decision Making Approach

2008 ◽  
Vol 12 (4) ◽  
pp. 13-22 ◽  
Author(s):  
Mohd. Nishat Faisal ◽  
Bilal Mustafa Khan
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Advertising Agency ◽  
Product Service ◽  
Proposed Model ◽  
Network Process ◽  
Product Personality ◽  
Mcdm Method

Indian economy is evolving day by day, and with an upswing spending power of its inhabitants advertising has been emerging as one of the most effective tools for the companies to reach out to their customers. Best advertisement agencies create value through giving the product personality, developing an understanding of product/service, creating an image or memorable picture of that product and above all trying to distinguish the product apart from its competitors. Today, advertising budgets of companies are rising and thus there are numerous agencies in the market vying for their shares. But there exists no method, which can take into account numerous criterions and their impact simultaneously under consideration while selecting a best advertisement agency. Selecting an advertisement agency is a multiple criteria decision-making (MCDM) problem that requires considering large number of complex factors as multiple evaluation criteria. A robust MCDM method should consider the interactions among criteria. Analytic network process (ANP) is a relatively new MCDM method which can deal with all kinds of interactions systematically. This paper proposes an ANP based methodology for the selection of advertisement agencies. ANP is capable of measuring the relative importance that captures all indirect interactions in a network required to be considered in an advertisement agency selection and also their interactions. Additionally, the proposed model is evaluated for a case company.

scholarly journals A Method of Capturing and Transferring Customer Value in Product Service System

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Hua Ding ◽  
Hengqiang Liu ◽  
Kun Yang
Keyword(s):  
Decision Making ◽  
Correction Factor ◽  
Group Decision Making ◽  
Hierarchical Model ◽  
Customer Value ◽  
Group Decision ◽  
Service System ◽  
Cloud Model ◽  
Product Service System ◽  
Product Service

The methods of capturing and transferring the customer value in a product service system (PSS) are studied to capture the customers’ intrinsic value requirements, grasp the importance level of requirement, and transform it into design elements to more reasonably allocate resources and develop products more in line with the customers’ needs and more competitive at a minimum cost. First, a hierarchical model of the customer value based on the means-end chain theory is constructed to analyze the customer value from the perspective of customer expectations. In the process of determining the importance priority of value elements, the cloud model is used to process the expert evaluation information, and the competitive correction factor and the Kano factor are used to modify the basic importance of the value elements. The customer value in the PSS is then transferred to the product and service performance domain by constructing the parallel house of quality embedded cloud model (PHOQ-ECM). In other words, the cloud model is used to process the group decision-making values with fuzziness and randomness to complete the correlation calculation of the parallel HOQ. The important priority of the performance characteristics is then obtained. Finally, the abovementioned methods are applied to capture and transfer the customer value of a shearer, and the results are compared with other studies. The results show that the hierarchical model of the customer value can more deeply capture the customer value. The cloud model solves the problem of group decision-making with fuzziness and randomness. The competition correction factor and the Kano factor improve the accuracy of the importance priority of the value elements. PHOQ-ECM achieves the transfer and distribution of the customer value to two different objects of product and service and improves the accuracy of the performance characteristics importance priority. The method feasibility and validity are verified through the abovementioned analysis. Consequently, the method can effectively guide the PSS design.

A systematic decision-making approach for the optimal product–service system planning

2011 ◽  
Vol 38 (9) ◽  
pp. 11849-11858 ◽  
Author(s):  
Xiuli Geng ◽  
Xuening Chu ◽  
Deyi Xue ◽  
Zaifang Zhang
Keyword(s):  
Decision Making ◽  
Service System ◽  
Product Service System ◽  
System Planning ◽  
Product Service
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