Conceptual Solution Decision Based on Rough Sets and Shapley Value for Product-Service System: Customer Value-Economic Objective Trade-Off Perspective

The product service system (PSS), as a design concept for integrated products and services, needs to be evaluated in the early design stage to maximize the value for stakeholders of the PSS concept, which is a crucial task for enterprises. However, existing methods focus on the ranking and value ass...

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Autores principales: Di Feng, Xiaoyun Fu, Shaofei Jiang, Liting Jing
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:cbfb05e544a04722813fef8cce1bfc232021-11-25T16:42:46ZConceptual Solution Decision Based on Rough Sets and Shapley Value for Product-Service System: Customer Value-Economic Objective Trade-Off Perspective10.3390/app1122110012076-3417https://doaj.org/article/cbfb05e544a04722813fef8cce1bfc232021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/11001https://doaj.org/toc/2076-3417The product service system (PSS), as a design concept for integrated products and services, needs to be evaluated in the early design stage to maximize the value for stakeholders of the PSS concept, which is a crucial task for enterprises. However, existing methods focus on the ranking and value assessment of PSS evaluation criteria (e.g., quality, sustainability, cost), ignoring the needs conflict between customer value and economic objectives in PSS design, resulting in decision results that are not applicable to industrial enterprises. Furthermore, the influence of weight preference and uncertain information on solution evaluation is seldom considered when calculating the weight of each criterion. To fill this gap, integrating rough sets and the Shapley value decision approach for product-service system design considering customer value-economic objective trade-off is proposed, which mainly includes two parts: firstly, the best worst method (BWM) and the entropy weight method are integrated to obtain the comprehensive weight of evaluation criteria in the customer value and economic objectives; secondly, the Shapley value method in the coalition game is used to solve the optimal expectation allocation of the two objectives, so as to select the solution closest to the allocation, i.e., the optimal solution. In addition, rough set techniques are used to capture and integrate subjective assessment information originating from DMs under uncertainty. Finally, a case study of the electric forklift design is illustrated to verify the proposed decision model. The decision results show that this approach is more reliable through sensitivity and comparison analysis, and provide a valuable recommendation for enterprises to consider product service in forklift design.Di FengXiaoyun FuShaofei JiangLiting JingMDPI AGarticleconceptual solution decisiontrade-off decisionrough numberShapley valuePSS designTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 11001, p 11001 (2021)
institution DOAJ
collection DOAJ
language EN
topic conceptual solution decision
trade-off decision
rough number
Shapley value
PSS design
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle conceptual solution decision
trade-off decision
rough number
Shapley value
PSS design
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Di Feng
Xiaoyun Fu
Shaofei Jiang
Liting Jing
Conceptual Solution Decision Based on Rough Sets and Shapley Value for Product-Service System: Customer Value-Economic Objective Trade-Off Perspective
description The product service system (PSS), as a design concept for integrated products and services, needs to be evaluated in the early design stage to maximize the value for stakeholders of the PSS concept, which is a crucial task for enterprises. However, existing methods focus on the ranking and value assessment of PSS evaluation criteria (e.g., quality, sustainability, cost), ignoring the needs conflict between customer value and economic objectives in PSS design, resulting in decision results that are not applicable to industrial enterprises. Furthermore, the influence of weight preference and uncertain information on solution evaluation is seldom considered when calculating the weight of each criterion. To fill this gap, integrating rough sets and the Shapley value decision approach for product-service system design considering customer value-economic objective trade-off is proposed, which mainly includes two parts: firstly, the best worst method (BWM) and the entropy weight method are integrated to obtain the comprehensive weight of evaluation criteria in the customer value and economic objectives; secondly, the Shapley value method in the coalition game is used to solve the optimal expectation allocation of the two objectives, so as to select the solution closest to the allocation, i.e., the optimal solution. In addition, rough set techniques are used to capture and integrate subjective assessment information originating from DMs under uncertainty. Finally, a case study of the electric forklift design is illustrated to verify the proposed decision model. The decision results show that this approach is more reliable through sensitivity and comparison analysis, and provide a valuable recommendation for enterprises to consider product service in forklift design.
format article
author Di Feng
Xiaoyun Fu
Shaofei Jiang
Liting Jing
author_facet Di Feng
Xiaoyun Fu
Shaofei Jiang
Liting Jing
author_sort Di Feng
title Conceptual Solution Decision Based on Rough Sets and Shapley Value for Product-Service System: Customer Value-Economic Objective Trade-Off Perspective
title_short Conceptual Solution Decision Based on Rough Sets and Shapley Value for Product-Service System: Customer Value-Economic Objective Trade-Off Perspective
title_full Conceptual Solution Decision Based on Rough Sets and Shapley Value for Product-Service System: Customer Value-Economic Objective Trade-Off Perspective
title_fullStr Conceptual Solution Decision Based on Rough Sets and Shapley Value for Product-Service System: Customer Value-Economic Objective Trade-Off Perspective
title_full_unstemmed Conceptual Solution Decision Based on Rough Sets and Shapley Value for Product-Service System: Customer Value-Economic Objective Trade-Off Perspective
title_sort conceptual solution decision based on rough sets and shapley value for product-service system: customer value-economic objective trade-off perspective
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/cbfb05e544a04722813fef8cce1bfc23
work_keys_str_mv AT difeng conceptualsolutiondecisionbasedonroughsetsandshapleyvalueforproductservicesystemcustomervalueeconomicobjectivetradeoffperspective
AT xiaoyunfu conceptualsolutiondecisionbasedonroughsetsandshapleyvalueforproductservicesystemcustomervalueeconomicobjectivetradeoffperspective
AT shaofeijiang conceptualsolutiondecisionbasedonroughsetsandshapleyvalueforproductservicesystemcustomervalueeconomicobjectivetradeoffperspective
AT litingjing conceptualsolutiondecisionbasedonroughsetsandshapleyvalueforproductservicesystemcustomervalueeconomicobjectivetradeoffperspective
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